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294 results on '"Ecology,Evolution & Ethology"'

1. A computationally-enhanced hiCLIP atlas reveals Staufen1-RNA binding features and links 3′ UTR structure to RNA metabolism

Author: Flora Lee, Nicholas Luscombe, Jernej Ule, Ira Alexandra Iosub, and Anob Chakrabarti
Subjects: Ecology,Evolution & Ethology, FOS: Clinical medicine, Stem Cells, Genetics, Neurosciences, Gene Expression, Tumour Biology, Biochemistry & Proteomics, Genetics & Genomics, Computational & Systems Biology
Abstract: The structure of mRNA molecules plays an important role in its interactions with trans-acting factors, notably RNA binding proteins (RBPs), thus contributing to the functional consequences of this interplay. However, current transcriptome-wide experimental methods to chart these interactions are limited by their poor sensitivity. Here we extend the hiCLIP atlas of duplexes bound by Staufen1 (STAU1) ∼10-fold, through careful consideration of experimental assumptions, and the development of bespoke computational methods which we apply to existing data. We present Tosca, a Nextflow computational pipeline for the processing, analysis and visualisation of proximity ligation sequencing data generally. We use our extended duplex atlas to discover insights into the RNA selectivity of STAU1, revealing the importance of structural symmetry and duplex-span-dependent nucleotide composition. Furthermore, we identify heterogeneity in the relationship between STAU1-bound 3’ UTRs and metabolism of the associated RNAs that we relate to RNA structure: transcripts with short-range proximal 3’ UTR duplexes have high degradation rates, but those with long-range duplexes have low rates. Overall, our work enables the integrative analysis of proximity ligation data delivering insights into specific features and effects of RBP-RNA structure interactions.
Published: 2023

2. The Clinicogenomic Landscape of Induction Failure in Childhood and Young Adult T-Cell Acute Lymphoblastic Leukemia

Author: David O'Connor, Jonas Demeulemeester, Lucia Conde, Amy Kirkwood, Kent Fung, Foteini Papaleonidopoulou, Gianna Bloye, Nadine Farah, Sunniyat Rahman, Jeremy Hancock, Caroline Bateman, Sarah Inglott, Jon Mee, Javier Herrero, Peter Van Loo, Anthony V. Moorman, Ajay Vora, and Marc R. Mansour
Subjects: Cancer Research, Human Biology & Physiology, Oncology, Ecology,Evolution & Ethology, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract: PURPOSE Failure to respond to induction chemotherapy portends a poor outcome in childhood acute lymphoblastic leukemia (ALL) and is more frequent in T-cell ALL (T-ALL) than B-cell ALL. We aimed to address the limited understanding of clinical and genetic factors that influence outcome in a cohort of patients with T-ALL induction failure (IF). METHODS We studied all cases of T-ALL IF on two consecutive multinational randomized trials, UKALL2003 and UKALL2011, to define risk factors, treatment, and outcomes. We performed multiomic profiling to characterize the genomic landscape. RESULTS IF occurred in 10.3% of cases and was significantly associated with increasing age, occurring in 20% of patients age 16 years and older. Five-year overall survival (OS) rates were 52.1% in IF and 90.2% in responsive patients ( P < .001). Despite increased use of nelarabine-based chemotherapy consolidated by hematopoietic stem-cell transplant in UKALL2011, there was no improvement in outcome. Persistent end-of-consolidation molecular residual disease resulted in a significantly worse outcome (5-year OS, 14.3% v 68.5%; HR, 4.10; 95% CI, 1.35 to 12.45; P = .0071). Genomic profiling revealed a heterogeneous picture with 25 different initiating lesions converging on 10 subtype-defining genes. There was a remarkable abundance of TAL1 noncoding lesions, associated with a dismal outcome (5-year OS, 12.5%). Combining TAL1 lesions with mutations in the MYC and RAS pathways produces a genetic stratifier that identifies patients highly likely to fail conventional therapy (5-year OS, 23.1% v 86.4%; HR, 6.84; 95% CI, 2.78 to 16.78; P < .0001) and who should therefore be considered for experimental agents. CONCLUSION The outcome of IF in T-ALL remains poor with current therapy. The lack of a unifying genetic driver suggests alternative approaches, particularly using immunotherapy, are urgently needed.
Published: 2023

3. Dual ancestries and ecologies of the Late Glacial Palaeolithic in Britain

Author: Sophy Charlton, Selina Brace, Mateja Hajdinjak, Rebecca Kearney, Thomas Booth, Hazel Reade, Jennifer A. Tripp, Kerry L. Sayle, Sonja B. Grimm, Silvia M. Bello, Elizabeth A. Walker, Alexandre Gilardet, Philip East, Isabelle Glocke, Greger Larson, Tom Higham, Chris Stringer, Pontus Skoglund, Ian Barnes, and Rhiannon E. Stevens
Subjects: Chemical Biology & High Throughput, Ecology, Genome Integrity & Repair, Infectious Disease, Cefotaxime, Tumour Biology, United Kingdom, Europe, Caves, Ecology,Evolution & Ethology, Humans, Genetics & Genomics, Ecology, Evolution, Behavior and Systematics, Computational & Systems Biology
Abstract: Genetic investigations of Upper Palaeolithic Europe have revealed a complex and transformative history of human population movements and ancestries, with evidence of several instances of genetic change across the European continent in the period following the Last Glacial Maximum (LGM). Concurrent with these genetic shifts, the post-LGM period is characterized by a series of significant climatic changes, population expansions and cultural diversification. Britain lies at the extreme northwest corner of post-LGM expansion and its earliest Late Glacial human occupation remains unclear. Here we present genetic data from Palaeolithic human individuals in the United Kingdom and the oldest human DNA thus far obtained from Britain or Ireland. We determine that a Late Upper Palaeolithic individual from Gough's Cave probably traced all its ancestry to Magdalenian-associated individuals closely related to those from sites such as El Mirón Cave, Spain, and Troisième Caverne in Goyet, Belgium. However, an individual from Kendrick's Cave shows no evidence of having ancestry related to the Gough’s Cave individual. Instead, the Kendrick’s Cave individual traces its ancestry to groups who expanded across Europe during the Late Glacial and are represented at sites such as Villabruna, Italy. Furthermore, the individuals differ not only in their genetic ancestry profiles but also in their mortuary practices and their diets and ecologies, as evidenced through stable isotope analyses. This finding mirrors patterns of dual genetic ancestry and admixture previously detected in Iberia but may suggest a more drastic genetic turnover in northwestern Europe than in the southwest.
Published: 2022

4. Targeted profiling of human extrachromosomal DNA by CRISPR-CATCH

Author: King L. Hung, Jens Luebeck, Siavash R. Dehkordi, Caterina I. Colón, Rui Li, Ivy Tsz-Lo Wong, Ceyda Coruh, Prashanthi Dharanipragada, Shirley H. Lomeli, Natasha E. Weiser, Gatien Moriceau, Xiao Zhang, Chris Bailey, Kathleen E. Houlahan, Wenting Yang, Rocío Chamorro González, Charles Swanton, Christina Curtis, Mariam Jamal-Hanjani, Anton G. Henssen, Julie A. Law, William J. Greenleaf, Roger S. Lo, Paul S. Mischel, Vineet Bafna, and Howard Y. Chang
Subjects: Chemical Biology & High Throughput, Cancer Research, Human Biology & Physiology, Human Genome, Genome Integrity & Repair, DNA, Oncogenes, Biological Sciences, Tumour Biology, Medical and Health Sciences, ErbB Receptors, Signalling & Oncogenes, Rare Diseases, Ecology,Evolution & Ethology, Neoplasms, Genetics, Humans, Glioblastoma, Genetics & Genomics, Cancer, Biotechnology, Developmental Biology, Computational & Systems Biology
Abstract: Extrachromosomal DNA (ecDNA) is a common mode of oncogene amplification but is challenging to analyze. Here, we adapt CRISPR-CATCH, in vitro CRISPR-Cas9 treatment and pulsed field gel electrophoresis of agarose-entrapped genomic DNA, previously developed for bacterial chromosome segments, to isolate megabase-sized human ecDNAs. We demonstrate strong enrichment of ecDNA molecules containing EGFR, FGFR2 and MYC from human cancer cells and NRAS ecDNA from human metastatic melanoma with acquired therapeutic resistance. Targeted enrichment of ecDNA versus chromosomal DNA enabled phasing of genetic variants, identified the presence of an EGFRvIII mutation exclusively on ecDNAs and supported an excision model of ecDNA genesis in a glioblastoma model. CRISPR-CATCH followed by nanopore sequencing enabled single-molecule ecDNA methylation profiling and revealed hypomethylation of the EGFR promoter on ecDNAs. We distinguished heterogeneous ecDNA species within the same sample by size and sequence with base-pair resolution and discovered functionally specialized ecDNAs that amplify select enhancers or oncogene-coding sequences.
Published: 2022

5. Neurosurgical Team Acceptability of Brain–Computer Interfaces: A Two-Stage International Cross-Sectional Survey

Author: Simon C. Williams, Hugo Layard Horsfall, Jonathan P. Funnell, John G. Hanrahan, Andreas T. Schaefer, William Muirhead, and Hani J. Marcus
Subjects: Cross-Sectional Studies, Ecology,Evolution & Ethology, Brain-Computer Interfaces, Surveys and Questionnaires, FOS: Clinical medicine, Stroke Rehabilitation, Neurosciences, Humans, Electroencephalography, Surgery, Microfabrication & Bioengineering, Neurology (clinical), Computational & Systems Biology
Abstract: OBJECTIVE: Invasive brain-computer interfaces (BCIs) require neurosurgical implantation, which confers a range of risks. Despite this, no studies have assessed the acceptability of invasive BCIs amongst the neurosurgical team. This study aims to establish baseline knowledge of BCIs within the neurosurgical team and identify attitudes towards different applications of invasive BCI. METHOD: A two-stage cross-sectional international survey of the neurosurgical team (neurosurgeons, anaesthetists, and operating room nurses) was conducted. Results from the first, qualitative, survey were used to guide the second stage quantitative survey, which assessed acceptability of invasive BCI applications. 5-part Likert Scales were used to collect quantitative data. Surveys were distributed internationally via social media and collaborators. RESULTS: 108 qualitative responses were collected. Themes included the promise of BCIs positively impacting disease targets, concerns regarding stability, and an overall positive emotional reaction to BCI technology. The quantitative survey generated 538 responses from 32 countries. Baseline knowledge of BCI technology was poor, with 9% claiming to have a 'good' or 'expert' knowledge of BCIs. Acceptability of invasive BCI for rehabilitative purposes was >80%. Invasive BCI for augmentation in healthy populations divided opinion. CONCLUSION: The neurosurgical team's view of the acceptability of BCI was divided across a range of indications. Some applications (for example stroke rehabilitation) were viewed as more appropriate than other applications (such as augmentation for military use). This range in views highlights the need for stakeholder consultation on acceptable use cases along with regulation and guidance to govern initial BCI implantations if patients are to realise the potential benefits.
Published: 2022

6. HNRNPH1 regulates the neuroprotective cold-shock protein RBM3 expression through poison exon exclusion

Author: Lin, Julie Qiaojin, Khuperkar, Deepak, Pavlou, Sofia, Makarchuk, Stanislaw, Patikas, Nikolaos, Lee, Flora, Zbiegly, Julia, Kang, Jianning, Field, Sarah, Bailey, David, Freeman, Joshua, Ule, Jernej, Metzakopian, Emmanouil, Ruepp, Marc-David, Mallucci, Giovanna, Lin, Julie Qiaojin [0000-0002-2669-6478], Apollo - University of Cambridge Repository, Khuperkar, Deepak [0000-0002-4272-3034], Makarchuk, Stanislaw [0000-0001-5484-7141], Patikas, Nikolaos [0000-0002-3978-0134], Lee, Flora Cy [0000-0002-3216-9754], Zbiegly, Julia M [0000-0002-6368-4599], Kang, Jianning [0000-0002-5259-2891], Ule, Jernej [0000-0002-2452-4277], Metzakopian, Emmanouil [0000-0003-2893-9741], Ruepp, Marc-David [0000-0003-3264-9800], and Mallucci, Giovanna R [0000-0001-8504-1191]
Subjects: alternative splicing, cold-shock protein, Ecology,Evolution & Ethology, FOS: Clinical medicine, Stem Cells, RBM3, Neurosciences, Gene Expression, Biochemistry & Proteomics, poison exon, Genetics & Genomics, CRISPR screen, Computational & Systems Biology
Abstract: Enhanced expression of the cold-shock protein RNA binding motif 3 (RBM3) is highly neuroprotective both in vitro and in vivo. Whilst upstream signalling pathways leading to RBM3 expression have been described, the precise molecular mechanism of RBM3 cold induction remains elusive. To identify temperature-dependent modulators of RBM3, we performed a genome-wide CRISPR-Cas9 knockout screen using RBM3-reporter human iPSC-derived neurons. We found that RBM3 mRNA and protein levels are robustly regulated by several splicing factors, with heterogeneous nuclear ribonucleoprotein H1 (HNRNPH1) being the strongest positive regulator. Splicing analysis revealed that moderate hypothermia significantly represses the inclusion of a poison exon, which, when retained, targets the mRNA for nonsense-mediated decay. Importantly, we show that HNRNPH1 mediates this cold-dependent exon skipping via its thermosensitive interaction with a G-rich motif within the poison exon. Our study provides novel mechanistic insights into the regulation of RBM3 and provides further targets for neuroprotective therapeutic strategies.
Published: 2023
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7. The proteomic landscape of genome-wide genetic perturbations

Author: Christoph B. Messner, Vadim Demichev, Julia Muenzner, Simran K. Aulakh, Natalie Barthel, Annika Röhl, Lucía Herrera-Domínguez, Anna-Sophia Egger, Stephan Kamrad, Jing Hou, Guihong Tan, Oliver Lemke, Enrica Calvani, Lukasz Szyrwiel, Michael Mülleder, Kathryn S. Lilley, Charles Boone, Georg Kustatscher, and Markus Ralser
Subjects: Chemical Biology & High Throughput, quantitative proteomics, Human Biology & Physiology, functional proteomics, FOS: Clinical medicine, Immunology, knockout, Infectious Disease, systems biology, Cell Biology, high throughput, Tumour Biology, Biochemistry & Proteomics, General Biochemistry, Genetics and Molecular Biology, gene annotation, Signalling & Oncogenes, Metabolism, Ecology,Evolution & Ethology, data-independent acquisition, saccharomyces cerevisiae, Synthetic Biology, deletion, functional genomics, Developmental Biology, Computational & Systems Biology
Abstract: Functional genomic strategies have become fundamental for annotating gene function and regulatory networks. Here, we combined functional genomics with proteomics by quantifying protein abundances in a genome-scale knockout library in Saccharomyces cerevisiae, using data-independent acquisition mass spectrometry. We find that global protein expression is driven by a complex interplay of (1) general biological properties, including translation rate, protein turnover, the formation of protein complexes, growth rate, and genome architecture, followed by (2) functional properties, such as the connectivity of a protein in genetic, metabolic, and physical interaction networks. Moreover, we show that functional proteomics complements current gene annotation strategies through the assessment of proteome profile similarity, protein covariation, and reverse proteome profiling. Thus, our study reveals principles that govern protein expression and provides a genome-spanning resource for functional annotation.
Published: 2023

8. CD4+ T cell memory is impaired by species-specific cytotoxic differentiation, but not by TCF-1 loss

Author: Hofland, Tom, Danelli, Luca, Cornish, Georgina, Donnarumma, Tiziano, Hunt, Deborah M, de Carvalho, Luiz PS, and Kassiotis, George
Subjects: Model organisms, Metabolism, Ecology,Evolution & Ethology, FOS: Clinical medicine, Immunology, Immunology and Allergy, Infectious Disease, Biochemistry & Proteomics, Genetics & Genomics, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: CD4+ T cells are typically considered as ‘helper’ or ‘regulatory’ populations that support and orchestrate the responses of other lymphocytes. However, they can also develop potent granzyme (Gzm)-mediated cytotoxic activity and CD4+ cytotoxic T cells (CTLs) have been amply documented both in humans and in mice, particularly in the context of human chronic infection and cancer. Despite the established description of CD4+ CTLs, as well as of the critical cytotoxic activity they exert against MHC class II-expressing targets, their developmental and memory maintenance requirements remain elusive. This is at least in part owing to the lack of a murine experimental system where CD4+ CTLs are stably induced. Here, we show that viral and bacterial vectors encoding the same epitope induce distinct CD4+ CTL responses in challenged mice, all of which are nevertheless transient in nature and lack recall properties. Consistent with prior reports, CD4+ CTL differentiation is accompanied by loss of TCF-1 expression, a transcription factor considered essential for memory T cell survival. Using genetic ablation of Tcf7, which encodes TCF-1, at the time of CD4+ T cell activation, we further show that, contrary to observations in CD8+ T cells, continued expression of TCF-1 is not required for CD4+ T cell memory survival. Whilst Tcf7-deficient CD4+ T cells persisted normally following retroviral infection, the CD4+ CTL subset still declined, precluding conclusive determination of the requirement for TCF-1 for murine CD4+ CTL survival. Using xenotransplantation of human CD4+ T cells into murine recipients, we demonstrate that human CD4+ CTLs develop and persist in the same experimental conditions where murine CD4+ CTLs fail to persist. These observations uncover a species-specific defect in murine CD4+ CTL persistence with implications for their use as a model system.
Published: 2023

9. Signatures of copy number alterations in human cancer

Author: Christopher D. Steele, Ammal Abbasi, S. M. Ashiqul Islam, Amy L. Bowes, Azhar Khandekar, Kerstin Haase, Shadi Hames-Fathi, Dolapo Ajayi, Annelien Verfaillie, Pawan Dhami, Alex McLatchie, Matt Lechner, Nicholas Light, Adam Shlien, David Malkin, Andrew Feber, Paula Proszek, Tom Lesluyes, Fredrik Mertens, Adrienne M. Flanagan, Maxime Tarabichi, Peter Van Loo, Ludmil B. Alexandrov, and Nischalan Pillay
Subjects: Human Biology & Physiology, Chromothripsis, Multidisciplinary, DNA Copy Number Variations, DNA Mutational Analysis, Loss of Heterozygosity, Tumour Biology, Haploidy, Aneuploidy, Ecology,Evolution & Ethology, Neoplasms, Mutation, Exome Sequencing, Humans, Homologous Recombination, Genetics & Genomics, Computational & Systems Biology
Abstract: Gains and losses of DNA are prevalent in cancer and emerge as a consequence of inter-related processes of replication stress, mitotic errors, spindle multipolarity and breakage–fusion–bridge cycles, among others, which may lead to chromosomal instability and aneuploidy1,2. These copy number alterations contribute to cancer initiation, progression and therapeutic resistance3–5. Here we present a conceptual framework to examine the patterns of copy number alterations in human cancer that is widely applicable to diverse data types, including whole-genome sequencing, whole-exome sequencing, reduced representation bisulfite sequencing, single-cell DNA sequencing and SNP6 microarray data. Deploying this framework to 9,873 cancers representing 33 human cancer types from The Cancer Genome Atlas6 revealed a set of 21 copy number signatures that explain the copy number patterns of 97% of samples. Seventeen copy number signatures were attributed to biological phenomena of whole-genome doubling, aneuploidy, loss of heterozygosity, homologous recombination deficiency, chromothripsis and haploidization. The aetiologies of four copy number signatures remain unexplained. Some cancer types harbour amplicon signatures associated with extrachromosomal DNA, disease-specific survival and proto-oncogene gains such as MDM2. In contrast to base-scale mutational signatures, no copy number signature was associated with many known exogenous cancer risk factors. Our results synthesize the global landscape of copy number alterations in human cancer by revealing a diversity of mutational processes that give rise to these alterations.
Published: 2022

10. Diacylglycerol at the inner nuclear membrane fuels nuclear envelope expansion in closed mitosis

Author: Sherman Foo, Amaury Cazenave-Gassiot, Markus R. Wenk, and Snezhana Oliferenko
Subjects: Ecology,Evolution & Ethology, Cell Cycle & Chromosomes, Cell Biology
Abstract: Nuclear envelope (NE) expansion must be controlled to maintain nuclear shape and function. The nuclear membrane expands massively during ‘closed’ mitosis, enabling chromosome segregation within an intact NE. Phosphatidic acid (PA) and diacylglycerol (DG) can both serve as biosynthetic precursors for membrane lipid synthesis. How they are regulated in time and space and what are the implications of changes in their flux for mitotic fidelity is largely unknown. Using genetically encoded PA and DG probes, we show that DG is depleted from the inner nuclear membrane during mitosis in the fission yeast Schizosaccharomyces pombe, but PA does not accumulate, indicating that it is rerouted to membrane synthesis. We demonstrate that DG-to-PA conversion catalysed by the diacylglycerol kinase Dgk1 and direct glycerophospholipid synthesis from DG by diacylglycerol cholinephosphotransferase / ethanolaminephosphotransferase Ept1 reinforce NE expansion. We conclude that DG consumption through both de novo and the Kennedy pathways fuels a spike in glycerophospholipid biosynthesis, controlling NE expansion, and ultimately, mitotic fidelity.
Published: 2023

11. Open questions in human lung organoid research

Author: Hughes, Tessa, Dijkstra, Krijn K, Rawlins, Emma L, Hynds, Robert E, Apollo - University of Cambridge Repository, and Hynds, Robert E [0000-0002-2170-8791]
Subjects: Chemical Biology & High Throughput, Pharmacology, 3D cell culture, Human Biology & Physiology, Genome Integrity & Repair, Tumour Biology, epithelial cells, respiratory biology, Signalling & Oncogenes, Ecology,Evolution & Ethology, Pharmacology (medical), lung stem cells, Genetics & Genomics, Computational & Systems Biology, in vitro models
Abstract: Peer reviewed: True, Organoids have become a prominent model system in pulmonary research. The ability to establish organoid cultures directly from patient tissue has expanded the repertoire of physiologically relevant preclinical model systems. In addition to their derivation from adult lung stem/progenitor cells, lung organoids can be derived from fetal tissue or induced pluripotent stem cells to fill a critical gap in modelling pulmonary development in vitro. Recent years have seen important progress in the characterisation and refinement of organoid culture systems. Here, we address several open questions in the field, including how closely organoids recapitulate the tissue of origin, how well organoids recapitulate patient cohorts, and how well organoids capture diversity within a patient. We advocate deeper characterisation of models using single cell technologies, generation of more diverse organoid biobanks and further standardisation of culture media.
Published: 2023
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12. Phenotyping of lymphoproliferative tumours generated in xenografts of non-small cell lung cancer

Author: David R. Pearce, Ayse U. Akarca, Roel P. H. De Maeyer, Emily Kostina, Ariana Huebner, Monica Sivakumar, Takahiro Karasaki, Kavina Shah, Sam M. Janes, Nicholas McGranahan, Venkat Reddy, Arne N. Akbar, David A. Moore, Teresa Marafioti, Charles Swanton, and Robert E. Hynds
Subjects: Chemical Biology & High Throughput, Signalling & Oncogenes, Human Biology & Physiology, Cancer Research, Ecology,Evolution & Ethology, Oncology, Genome Integrity & Repair, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract: Patient-derived xenograft (PDX) models involve the engraftment of tumour tissue in immunocompromised mice and represent an important pre-clinixtcal oncology research. A limitation of non-small cell lung cancer (NSCLC) PDX model derivation in NOD-scidIL2Rgammanull(NSG) mice is that a subset of initial engraftments are of lymphocytic, rather than tumour origin. In the lung TRACERx PDX pipeline, lymphoproliferations occurred in 17.8% of lung adenocarcinoma and 10% of lung squamous cell carcinoma transplantations, despite none of these patients having a prior or subsequent clinical history of lymphoproliferative disease. Lymphoproliferations were predominantly human CD20+ B cells and had the immunophenotype expected for post-transplantation diffuse large B cell lymphoma. All lymphoproliferations expressed Epstein-Barr-encoded RNAs (EBER). Analysis of immunoglobulin light chain gene rearrangements in three tumours where multiple tumour regions had resulted in lymphoproliferations suggested that each had independent clonal origins. Overall, these data suggest the presence of B cell clones with lymphoproliferative potential within primary NSCLC tumours that are under continuous immune surveillance. Since these cells can be expanded following transplantation into NSG mice, our data highlight the value of quality control measures to identify lymphoproliferations within xenograft pipelines and support the incorporation of strategies to minimise lymphoproliferations during the early stages of xenograft establishment pipelines. To present the histology data herein, we developed a Python-based tool for generating patient-level pathology overview figures from whole-slide image files; PATHOverview is available on GitHub (https://github.com/EpiCENTR-Lab/PATHOverview).
Published: 2023

13. Support academic access to automated cloud labs to improve reproducibility

Author: Chase Armer, Florent Letronne, and Erika DeBenedictis
Subjects: General Immunology and Microbiology, Ecology,Evolution & Ethology, General Neuroscience, Synthetic Biology, Microfabrication & Bioengineering, General Agricultural and Biological Sciences, Biochemistry & Proteomics, General Biochemistry, Genetics and Molecular Biology, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: Cloud labs, where experiments are executed remotely in robotic facilities, can improve the reproducibility, accessibility, and scalability of experimental biology. Funding and training programs will enable academics to overcome barriers to adopting such technology.
Published: 2023
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14. Transcriptome-wide RNA binding analysis of C9orf72 poly(PR) dipeptides

Author: Balendra, Rubika, de Los Mozos, Igor Ruiz, Odeh, Hana M, Glaria, Idoia, Milioto, Carmelo, Wilson, Katherine M, Ule, Agnieszka M, Hallegger, Martina, Masino, Laura, Martin, Stephen, Patani, Rickie, Shorter, James, Ule, Jernej, and Isaacs, Adrian M
Subjects: Chemical Biology & High Throughput, Ecology,Evolution & Ethology, FOS: Clinical medicine, Stem Cells, Neurosciences, Gene Expression, Cell Biology, Biochemistry & Proteomics, Genetics & Genomics, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: An intronic GGGGCC repeat expansion in C9orf72 is a common genetic cause of amyotrophic lateral sclerosis and frontotemporal dementia. The repeats are transcribed in both sense and antisense directions to generate distinct dipeptide repeat proteins, of which poly(GA), poly(GR), and poly(PR) have been implicated in contributing to neurodegeneration. Poly(PR) binding to RNA may contribute to toxicity, but analysis of poly(PR)-RNA binding on a transcriptome-wide scale has not yet been carried out. We therefore performed crosslinking and immunoprecipitation (CLIP) analysis in human cells to identify the RNA binding sites of poly(PR). We found that poly(PR) binds to nearly 600 RNAs, with the sequence GAAGA enriched at the binding sites. In vitro experiments showed that poly(GAAGA) RNA binds poly(PR) with higher affinity than control RNA and induces the phase separation of poly(PR) into condensates. These data indicate that poly(PR) preferentially binds to poly(GAAGA)-containing RNAs, which may have physiological consequences.
Published: 2023
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15. The genetic history of Scandinavia from the Roman Iron Age to the present

Author: Ricardo Rodríguez-Varela, Kristjan H.S. Moore, S. Sunna Ebenesersdóttir, Gulsah Merve Kilinc, Anna Kjellström, Ludvig Papmehl-Dufay, Clara Alfsdotter, Birgitta Berglund, Loey Alrawi, Natalija Kashuba, Verónica Sobrado, Vendela Kempe Lagerholm, Edmund Gilbert, Gianpiero L. Cavalleri, Eivind Hovig, Ingrid Kockum, Tomas Olsson, Lars Alfredsson, Thomas F. Hansen, Thomas Werge, Arielle R. Munters, Carolina Bernhardsson, Birgitte Skar, Axel Christophersen, Gordon Turner-Walker, Shyam Gopalakrishnan, Eva Daskalaki, Ayça Omrak, Patxi Pérez-Ramallo, Pontus Skoglund, Linus Girdland-Flink, Fredrik Gunnarsson, Charlotte Hedenstierna-Jonson, M. Thomas P. Gilbert, Kerstin Lidén, Mattias Jakobsson, Lars Einarsson, Helena Victor, Maja Krzewińska, Torun Zachrisson, Jan Storå, Kári Stefánsson, Agnar Helgason, and Anders Götherström
Subjects: migration period, Viking, Archaeology, Ecology,Evolution & Ethology, Infectious Disease, Scandinavian genetic structure, Arkeologi, gene flow, Genetics & Genomics, General Biochemistry, Genetics and Molecular Biology, human population genomics
Abstract: Scandinavia spanning the Iron Age to the present, based on 48 new and 249 published ancient genomes and genotypes from 16,638 modern individuals. We find regional variation in the timing and magnitude of gene flow from three sources: the eastern Baltic, the British-Irish Isles, and southern Europe. British-Irish ancestry was widespread in Scandinavia from the Viking period, whereas eastern Baltic ancestry is more localized to Gotland and central Sweden. In some regions, a drop in current levels of external ancestry suggests that ancient immigrants contributed proportionately less to the modern Scandinavian gene pool than indicated by the ancestry of genomes from the Viking and Medieval periods. Finally, we show that a north-south genetic cline that characterizes modern Scandinavians is mainly due to the differential levels of Uralic ancestry and that this cline existed in the Viking Age and possibly earlier. The authors acknowledge support from the National Genomics Infrastructure in Stockholm funded by Science for Life Laboratory, the Knut and Alice Wallenberg Foundation and the Swedish Research Council, and SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing and access to the UPPMAX computational infrastructure. We used resources from projects SNIC 2022/23-132, SNIC 2022/22-117, SNIC 2022/23-163, SNIC 2022/22-299, and SNIC 2021-2-17. This research was supported by the Swedish Research Council project ID 2019-00849_VR and ATLAS (Riksbankens Jubileumsfond). Part of the modern dataset was supported by a research grant from Science Foundation Ireland (SFI), grant number 16/RC/3948, and co-funded under the European Regional Development Fund and by FutureNeuro industry partners.
Published: 2023
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16. Femtosecond laser preparation of resin embedded samples for correlative microscopy workflows in life sciences

Author: Carles Bosch, Joerg Lindenau, Alexandra Pacureanu, Christopher J. Peddie, Marta Majkut, Andrew C. Douglas, Raffaella Carzaniga, Alexander Rack, Lucy Collinson, Andreas T. Schaefer, and Heiko Stegmann
Subjects: Physics and Astronomy (miscellaneous), Ecology,Evolution & Ethology, FOS: Clinical medicine, Neurosciences, Microfabrication & Bioengineering, Imaging, Computational & Systems Biology
Abstract: Correlative multimodal imaging is a useful approach to investigate complex structural relations in life sciences across multiple scales. For these experiments, sample preparation workflows that are compatible with multiple imaging techniques must be established. In one such implementation, a fluorescently-labelled region of interest in a biological soft tissue sample can be imaged with light microscopy before staining the specimen with heavy metals, enabling follow-up higher resolution structural imaging at the targeted location, bringing context where it is required. Alternatively, or in addition to fluorescence imaging, other microscopy methods such as synchrotron X-ray computed tomography with propagation-based phase contrast (SXRT) or serial blockface scanning electron microscopy (SBF-SEM) might also be applied. When combining imaging techniques across scales, it is common that a volumetric region of interest (ROI) needs to be carved from the total sample volume before high resolution imaging with a subsequent technique can be performed. In these situations, the overall success of the correlative workflow depends on the precise targeting of the ROI and the trimming of the sample down to a suitable dimension and geometry for downstream imaging.Here we showcase the utility of a novel femtosecond laser device to prepare microscopic samples (1) of an optimised geometry for synchrotron X-ray microscopy as well as (2) for subsequent volume electron microscopy applications, embedded in a wider correlative multimodal imaging workflow (Fig. 1).
Published: 2023
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17. Metabolic heterogeneity and cross-feeding within isogenic yeast populations captured by DILAC

Author: Stephan Kamrad, Clara Correia-Melo, Lukasz Szyrwiel, Simran Kaur Aulakh, Jürg Bähler, Vadim Demichev, Michael Mülleder, and Markus Ralser
Subjects: Microbiology (medical), Chemical Biology & High Throughput, Metabolism, Ecology,Evolution & Ethology, Immunology, Genetics, Synthetic Biology, Cell Biology, Applied Microbiology and Biotechnology, Microbiology, Computational & Systems Biology
Abstract: Genetically identical cells are known to differ in many physiological parameters such as growth rate and drug tolerance. Metabolic specialization is believed to be a cause of such phenotypic heterogeneity, but detection of metabolically divergent subpopulations remains technically challenging. We developed a proteomics-based technology, termed differential isotope labelling by amino acids (DILAC), that can detect producer and consumer subpopulations of a particular amino acid within an isogenic cell population by monitoring peptides with multiple occurrences of the amino acid. We reveal that young, morphologically undifferentiated yeast colonies contain subpopulations of lysine producers and consumers that emerge due to nutrient gradients. Deconvoluting their proteomes using DILAC, we find evidence for in situ cross-feeding where rapidly growing cells ferment and provide the more slowly growing, respiring cells with ethanol. Finally, by combining DILAC with fluorescence-activated cell sorting, we show that the metabolic subpopulations diverge phenotypically, as exemplified by a different tolerance to the antifungal drug amphotericin B. Overall, DILAC captures previously unnoticed metabolic heterogeneity and provides experimental evidence for the role of metabolic specialization and cross-feeding interactions as a source of phenotypic heterogeneity in isogenic cell populations.
Published: 2023
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18. An HLA-G/SPAG9/STAT3 axis promotes brain metastases

Author: Blessing Iquo Bassey-Archibong, Chirayu Rajendra Chokshi, Nikoo Aghaei, Agata Monika Kieliszek, Nazanin Tatari, Dillon McKenna, Mohini Singh, Minomi Kalpana Subapanditha, Arun Parmar, Daniel Mobilio, Neil Savage, Fred Lam, Tomas Tokar, John Provias, Yu Lu, Shawn Christopher Chafe, Charles Swanton, Robert Edward Hynds, Chitra Venugopal, and Sheila Kumari Singh
Subjects: Chemical Biology & High Throughput, Signalling & Oncogenes, Human Biology & Physiology, Multidisciplinary, Ecology,Evolution & Ethology, Genome Integrity & Repair, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract: Brain metastases (BM) are the most common brain neoplasm in adults. Current BM therapies still offer limited efficacy and reduced survival outcomes, emphasizing the need for a better understanding of the disease. Herein, we analyzed the transcriptional profile of brain metastasis initiating cells (BMICs) at two distinct stages of the brain metastatic cascade—the “premetastatic” or early stage when they first colonize the brain and the established macrometastatic stage. RNA sequencing was used to obtain the transcriptional profiles of premetastatic and macrometastatic (non-premetastatic) lung, breast, and melanoma BMICs. We identified that lung, breast, and melanoma premetastatic BMICs share a common transcriptomic signature that is distinct from their non-premetastatic counterparts. Importantly, we show that premetastatic BMICs exhibit increased expression of HLA-G, which we further demonstrate functions in an HLA-G/SPAG9/STAT3 axis to promote the establishment of brain metastatic lesions. Our findings suggest that unraveling the molecular landscape of premetastatic BMICs allows for the identification of clinically relevant targets that can possibly inform the development of preventive and/or more efficacious BM therapies.
Published: 2023
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19. SARS-CoV-2-specific nasal IgA wanes 9 months after hospitalisation with COVID-19 and is not induced by subsequent vaccination

Author: Liew, Felicity, Talwar, Shubha, Cross, Andy, Willett, Brian J, Scott, Sam, Logan, Nicola, Siggins, Matthew K, Swieboda, Dawid, Sidhu, Jasmin K, Efstathiou, Claudia, Moore, Shona C, Davis, Chris, Mohamed, Noura, Nunag, Jose, King, Clara, Thompson, AA Roger, Rowland-Jones, Sarah L, Docherty, Annemarie B, Chalmers, James D, Ho, Ling-Pei, Horsley, Alexander, Raman, Betty, Poinasamy, Krisnah, Marks, Michael, Kon, Onn Min, Howard, Luke, Wootton, Daniel G, Dunachie, Susanna, Quint, Jennifer K, Evans, Rachael A, Wain, Louise V, Fontanella, Sara, de Silva, Thushan I, Ho, Antonia, Harrison, Ewen, Baillie, J Kenneth, Semple, Malcolm G, Brightling, Christopher, Thwaites, Ryan S, Turtle, Lance, Openshaw, Peter JM, ISARIC4C Investigators, PHOSP-COVID collaborative group, and Apollo - University of Cambridge Repository
Subjects: Adult, Chemical Biology & High Throughput, SARS-CoV-2 variants, COVID-19 Vaccines, SARS-CoV-2, SARS-CoV-2 immunity, Vaccination, COVID-19, Antibodies, Viral, Antibodies, Neutralizing, Immunoglobulin A, Hospitalization, Metabolism, Mucosal immunity, Nasal antibody, Ecology,Evolution & Ethology, Immunoglobulin G, Humans, Convalescent, Follow-Up Studies, Computational & Systems Biology, Structural Biology & Biophysics
Abstract: BACKGROUND: Most studies of immunity to SARS-CoV-2 focus on circulating antibody, giving limited insights into mucosal defences that prevent viral replication and onward transmission. We studied nasal and plasma antibody responses one year after hospitalisation for COVID-19, including a period when SARS-CoV-2 vaccination was introduced. METHODS: In this follow up study, plasma and nasosorption samples were prospectively collected from 446 adults hospitalised for COVID-19 between February 2020 and March 2021 via the ISARIC4C and PHOSP-COVID consortia. IgA and IgG responses to NP and S of ancestral SARS-CoV-2, Delta and Omicron (BA.1) variants were measured by electrochemiluminescence and compared with plasma neutralisation data. FINDINGS: Strong and consistent nasal anti-NP and anti-S IgA responses were demonstrated, which remained elevated for nine months (p < 0.0001). Nasal and plasma anti-S IgG remained elevated for at least 12 months (p < 0.0001) with plasma neutralising titres that were raised against all variants compared to controls (p < 0.0001). Of 323 with complete data, 307 were vaccinated between 6 and 12 months; coinciding with rises in nasal and plasma IgA and IgG anti-S titres for all SARS-CoV-2 variants, although the change in nasal IgA was minimal (1.46-fold change after 10 months, p = 0.011) and the median remained below the positive threshold determined by pre-pandemic controls. Samples 12 months after admission showed no association between nasal IgA and plasma IgG anti-S responses (R = 0.05, p = 0.18), indicating that nasal IgA responses are distinct from those in plasma and minimally boosted by vaccination. INTERPRETATION: The decline in nasal IgA responses 9 months after infection and minimal impact of subsequent vaccination may explain the lack of long-lasting nasal defence against reinfection and the limited effects of vaccination on transmission. These findings highlight the need to develop vaccines that enhance nasal immunity. FUNDING: This study has been supported by ISARIC4C and PHOSP-COVID consortia. ISARIC4C is supported by grants from the National Institute for Health and Care Research and the Medical Research Council. Liverpool Experimental Cancer Medicine Centre provided infrastructure support for this research. The PHOSP-COVD study is jointly funded by UK Research and Innovation and National Institute of Health and Care Research. The funders were not involved in the study design, interpretation of data or the writing of this manuscript.
Published: 2023
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20. Structure of the D-cycloserine-resistant variant D322N of alanine racemase from Mycobacterium tuberculosis

Author: de Chiara, Cesira, Prosser, Gareth A, Ogrodowicz, Roksana, and de Carvalho, Luiz PS
Subjects: Metabolism, Ecology,Evolution & Ethology, Infectious Disease, Biochemistry & Proteomics, Genetics & Genomics, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: Alanine racemase (Alr) is a pyridoxal 5′-phosphate-dependent enzyme that catalyzes the racemization of l-alanine to d-alanine. Alr is one of the two targets of the broad-spectrum antibiotic d-cycloserine (DCS), a structural analogue of d-alanine. Despite being an essential component of regimens used to treat multi- and extensively drug-resistant tuberculosis for almost seven decades, resistance to DCS has not been observed in patients. We previously demonstrated that DCS evades resistance due to an ultralow rate of emergence of mutations. Yet, we identified a single polymorphism (converting Asp322 to Asn) in the alr gene, which arose in 8 out of 11 independent variants identified and that confers resistance. Here, we present the crystal structure of the Alr variant D322N in both the free and DCS-inactivated forms and the characterization of its DCS inactivation mechanism by UV–visible and fluorescence spectroscopy. Comparison of these results with those obtained with wild-type Alr reveals the structural basis of the 240-fold reduced inhibition observed in Alr D322N.
Published: 2023
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21. Spatial positioning of immune hotspots reflects the interplay between B and T cells in lung squamous cell carcinoma

Author: Hanyun Zhang, Khalid AbdulJabbar, David A. Moore, Ayse Akarca, Katey S.S. Enfield, Mariam Jamal-Hanjani, Shan E. Ahmed Raza, Selvaraju Veeriah, Roberto Salgado, Nicholas McGranahan, John Le Quesne, Charles Swanton, Teresa Marafioti, and Yinyin Yuan
Subjects: Chemical Biology & High Throughput, Cancer Research, Signalling & Oncogenes, Human Biology & Physiology, Oncology, Ecology,Evolution & Ethology, Genome Integrity & Repair, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract: Beyond tertiary lymphoid structures, a significant number of immune-rich areas without germinal center-like structures are observed in non–small cell lung cancer. Here, we integrated transcriptomic data and digital pathology images to study the prognostic implications, spatial locations, and constitution of immune rich areas (immune hotspots) in a cohort of 935 patients with lung cancer from The Cancer Genome Atlas. A high intratumoral immune hotspot score, which measures the proportion of immune hotspots interfacing with tumor islands, was correlated with poor overall survival in lung squamous cell carcinoma but not in lung adenocarcinoma. Lung squamous cell carcinomas with high intratumoral immune hotspot scores were characterized by consistent upregulation of B-cell signatures. Spatial statistical analyses conducted on serial multiplex IHC slides further revealed that only 4.87% of peritumoral immune hotspots and 0.26% of intratumoral immune hotspots were tertiary lymphoid structures. Significantly lower densities of CD20+CXCR5+ and CD79b+ B cells and less diverse immune cell interactions were found in intratumoral immune hotspots compared with peritumoral immune hotspots. Furthermore, there was a negative correlation between the percentages of CD8+ T cells and T regulatory cells in intratumoral but not in peritumoral immune hotspots, with tertiary lymphoid structures excluded. These findings suggest that the intratumoral immune hotspots reflect an immunosuppressive niche compared with peritumoral immune hotspots, independent of the distribution of tertiary lymphoid structures. A balance toward increased intratumoral immune hotspots is indicative of a compromised antitumor immune response and poor outcome in lung squamous cell carcinoma. Significance: Intratumoral immune hotspots beyond tertiary lymphoid structures reflect an immunosuppressive microenvironment, different from peritumoral immune hotspots, warranting further study in the context of immunotherapies.
Published: 2023
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22. A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses

Author: William T. Harvey, Vinny Davies, Rodney S. Daniels, Lynne Whittaker, Victoria Gregory, Alan J. Hay, Dirk Husmeier, John W. McCauley, and Richard Reeve
Subjects: Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Ecology, Ecology,Evolution & Ethology, Modeling and Simulation, Genetics, Infectious Disease, Molecular Biology, Ecology, Evolution, Behavior and Systematics
Abstract: Surface antigens of pathogens are commonly targeted by vaccine-elicited antibodies but antigenic variability, notably in RNA viruses such as influenza, HIV and SARS-CoV-2, pose challenges for control by vaccination. For example, influenza A(H3N2) entered the human population in 1968 causing a pandemic and has since been monitored, along with other seasonal influenza viruses, for the emergence of antigenic drift variants through intensive global surveillance and laboratory characterisation. Statistical models of the relationship between genetic differences among viruses and their antigenic similarity provide useful information to inform vaccine development though accurate identification of causative mutations is complicated by highly correlated genetic signals that arise due to the evolutionary process. Here, using a sparse hierarchical Bayesian analogue of an experimentally validated model for integrating genetic and antigenic data, we identify the genetic changes in influenza A(H3N2) virus that underpin antigenic drift. We show that incorporating protein structural data into variable selection helps resolve ambiguities arising due to correlated signals, with the proportion of variables representing haemagglutinin positions decisively included, or excluded, increased from 59.8% to 72.4%. The accuracy of variable selection judged by proximity to experimentally determined antigenic sites was improved simultaneously. Structure-guided variable selection thus improves confidence in the identification of genetic explanations of antigenic variation and we also show that prioritising the identification of causative mutations is not detrimental to the predictive capability of the analysis. Indeed, incorporating structural information into variable selection resulted in a model that could more accurately predict antigenic assay titres for phenotypically-uncharactrised virus from genetic sequence. Combined, these analyses have the potential to inform choices of reference viruses, the targeting of laboratory assays, and predictions of the evolutionary success of different genotypes, and can therefore be used to inform vaccine selection processes.
Published: 2023
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23. Determinants of recovery from post-COVID-19 dyspnoea: analysis of UK prospective cohorts of hospitalised COVID-19 patients and community-based controls

Author: Zheng, B, Vivaldi, G, Daines, L, Leavy, OC, Richardson, M, Elneima, O, McAuley, HJC, Shikotra, A, Singapuri, A, Sereno, M, Saunders, RM, Harris, VC, Houchen-Wolloff, L, Greening, NJ, Pfeffer, PE, Hurst, JR, Brown, JS, Shankar-Hari, M, Echevarria, C, De Soyza, A, Harrison, EM, Docherty, AB, Lone, N, Quint, JK, Chalmers, JD, Ho, LP, Horsley, A, Marks, M, Poinasamy, K, Raman, B, Heaney, LG, Wain, LV, Evans, RA, Brightling, CE, Martineau, A, Sheikh, A, and Group, The PHOSP-COVID Study Collaborative
Subjects: Model organisms, Chemical Biology & High Throughput, Human Biology & Physiology, Metabolism, Ecology,Evolution & Ethology, FOS: Clinical medicine, Immunology, Synthetic Biology, Computational & Systems Biology
Abstract: Background: The risk factors for recovery from COVID-19 dyspnoea are poorly understood. We investigated determinants of recovery from dyspnoea in adults with COVID-19 and compared these to determinants of recovery from non-COVID-19 dyspnoea. Methods: We used data from two prospective cohort studies: PHOSP-COVID (patients hospitalised between March 2020 and April 2021 with COVID-19) and COVIDENCE UK (community cohort studied over the same time period). PHOSP-COVID data were collected during hospitalisation and at 5-month and 1-year follow-up visits. COVIDENCE UK data were obtained through baseline and monthly online questionnaires. Dyspnoea was measured in both cohorts with the Medical Research Council Dyspnoea Scale. We used multivariable logistic regression to identify determinants associated with a reduction in dyspnoea between 5-month and 1-year follow-up. Findings: We included 990 PHOSP-COVID and 3309 COVIDENCE UK participants. We observed higher odds of improvement between 5-month and 1-year follow-up among PHOSP-COVID participants who were younger (odds ratio 1.02 per year, 95% CI 1.01–1.03), male (1.54, 1.16–2.04), neither obese nor severely obese (1.82, 1.06–3.13 and 4.19, 2.14–8.19, respectively), had no pre-existing anxiety or depression (1.56, 1.09–2.22) or cardiovascular disease (1.33, 1.00–1.79), and shorter hospital admission (1.01 per day, 1.00–1.02). Similar associations were found in those recovering from non-COVID-19 dyspnoea, excluding age (and length of hospital admission). Interpretation: Factors associated with dyspnoea recovery at 1-year post-discharge among patients hospitalised with COVID-19 were similar to those among community controls without COVID-19. Funding: PHOSP-COVID is supported by a grant from the MRC-UK Research and Innovation and the Department of Health and Social Care through the National Institute for Health Research (NIHR) rapid response panel to tackle COVID-19. The views expressed in the publication are those of the author(s) and not necessarily those of the National Health Service (NHS), the NIHR or the Department of Health and Social Care. COVIDENCE UK is supported by the UK Research and Innovation, the National Institute for Health Research, and Barts Charity. The views expressed are those of the authors and not necessarily those of the funders.
Published: 2023
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24. RECAST: Study protocol for an observational study for the understanding of the increased resilience of children compared to adults in SARS-CoV-2 infection

Author: Sebastian Stricker, Niklas Ziegahn, Martin Karsten, Thomas Boeckel, Heike Stich-Boeckel, Jakob Maske, Evelyn Rugo, Anita Balazs, Pamela Millar Büchner, Chantip Dang-Heine, Valentin Schriever, Roland Eils, Irina Lehmann, Leif E Sander, Markus Ralser, Victor M Corman, Marcus A Mall, Birgit Sawitzki, and Jobst Roehmel
Subjects: Chemical Biology & High Throughput, Metabolism, Ecology,Evolution & Ethology, Synthetic Biology, General Medicine, Computational & Systems Biology
Abstract: IntroductionThe SARS-CoV-2 pandemic remains a threat to public health. Soon after its outbreak, it became apparent that children are less severely affected. Indeed, opposing clinical manifestations between children and adults are observed for other infections. The SARS-CoV-2 outbreak provides the unique opportunity to study the underlying mechanisms. This protocol describes the methods of an observational study that aims to characterise age dependent differences in immune responses to primary respiratory infections using SARS-CoV-2 as a model virus and to assess age differences in clinical outcomes including lung function.Methods and analysisThe study aims to recruit at least 120 children and 60 adults that are infected with SARS-CoV-2 and collect specimen for a multiomics analysis, including single cell RNA sequencing of nasal epithelial cells and peripheral blood mononuclear cells, mass cytometry of whole blood samples and nasal cells, mass spectrometry-based serum and plasma proteomics, nasal epithelial cultures with functional in vitro analyses, SARS-CoV-2 antibody testing, sequencing of the viral genome and lung function testing. Data obtained from this multiomics approach are correlated with medical history and clinical data. Recruitment started in October 2020 and is ongoing.Ethics and disseminationThe study was reviewed and approved by the Ethics Committee of Charité – Universitätsmedizin Berlin (EA2/066/20). All collected specimens are stored in the central biobank of Charité – Universitätsmedizin Berlin and are made available to all participating researchers and on request.Trial registration numberDRKS00025715, pre-results publication.
Published: 2023
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25. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

Author: Jiao, Wei, Atwal, Gurnit, Polak, Paz, Karlic, Rosa, Cuppen, Edwin, Al-Shahrour, Fatima, Bailey, Peter J, Biankin, Andrew V, Boutros, Paul C, Campbell, Peter J, Chang, David K, Cooke, Susanna L, Deshpande, Vikram, Faltas, Bishoy M, Faquin, William C, Garraway, Levi, Getz, Gad, Grimmond, Sean M, Haider, Syed, Hoadley, Katherine A, Kaiser, Vera B, Kato, Mamoru, Kübler, Kirsten, Lazar, Alexander J, Li, Constance H, Louis, David N, Margolin, Adam, Martin, Sancha, Nahal-Bose, Hardeep K, Nielsen, G Petur, Nik-Zainal, Serena, Omberg, Larsson, P’ng, Christine, Perry, Marc D, Rheinbay, Esther, Rubin, Mark A, Semple, Colin A, Sgroi, Dennis C, Shibata, Tatsuhiro, Siebert, Reiner, Smith, Jaclyn, Stein, Lincoln D, Stobbe, Miranda D, Sun, Ren X, Thai, Kevin, Wright, Derek W, Wu, Chin-Lee, Yuan, Ke, Zhang, Junjun, Danyi, Alexandra, de Ridder, Jeroen, van Herpen, Carla, Lolkema, Martijn P, Steeghs, Neeltje, Morris, Quaid D, Aaltonen, Lauri A, Abascal, Federico, Abeshouse, Adam, Aburatani, Hiroyuki, Adams, David J, Agrawal, Nishant, Ahn, Keun Soo, Ahn, Sung-Min, Aikata, Hiroshi, Akbani, Rehan, Akdemir, Kadir C, Al-Ahmadie, Hikmat, Al-Sedairy, Sultan T, Alawi, Malik, Albert, Monique, Aldape, Kenneth, Alexandrov, Ludmil B, Ally, Adrian, Alsop, Kathryn, Alvarez, Eva G, Amary, Fernanda, Amin, Samirkumar B, Aminou, Brice, Ammerpohl, Ole, Anderson, Matthew J, Ang, Yeng, Antonello, Davide, Anur, Pavana, Aparicio, Samuel, Appelbaum, Elizabeth L, Arai, Yasuhito, Aretz, Axel, Arihiro, Koji, Ariizumi, Shun-ichi, Armenia, Joshua, Arnould, Laurent, Asa, Sylvia, Assenov, Yassen, Aukema, Sietse, Auman, J Todd, Aure, Miriam RR, Awadalla, Philip, Aymerich, Marta, Bader, Gary D, Baez-Ortega, Adrian, Bailey, Matthew H, Balasundaram, Miruna, Balu, Saianand, Bandopadhayay, Pratiti, Banks, Rosamonde E, Barbi, Stefano, Barbour, Andrew P, Barenboim, Jonathan, Barnholtz-Sloan, Jill, Barr, Hugh, Barrera, Elisabet, Bartlett, John, Bartolome, Javier, Bassi, Claudio, Bathe, Oliver F, Baumhoer, Daniel, Bavi, Prashant, Baylin, Stephen B, Bazant, Wojciech, Beardsmore, Duncan, Beck, Timothy A, Behjati, Sam, Behren, Andreas, Niu, Beifang, Bell, Cindy, Beltran, Sergi, Benz, Christopher, Berchuck, Andrew, Bergmann, Anke K, Bergstrom, Erik N, Berman, Benjamin P, Berney, Daniel M, Bernhart, Stephan H, Beroukhim, Rameen, Berrios, Mario, Bersani, Samantha, Bertl, Johanna, Betancourt, Miguel, Bhandari, Vinayak, Bhosle, Shriram G, Bieg, Matthias, Bigner, Darell, Binder, Hans, Birney, Ewan, Birrer, Michael, Biswas, Nidhan K, Bjerkehagen, Bodil, Bodenheimer, Tom, Boice, Lori, Bonizzato, Giada, De Bono, Johann S, Boot, Arnoud, Bootwalla, Moiz S, Borg, Ake, Borkhardt, Arndt, Boroevich, Keith A, Borozan, Ivan, Borst, Christoph, Bosenberg, Marcus, Bosio, Mattia, Boultwood, Jacqueline, Bourque, Guillaume, Bova, G Steven, Bowen, David T, Bowlby, Reanne, Bowtell, David DL, Boyault, Sandrine, Boyce, Rich, Boyd, Jeffrey, Brazma, Alvis, Brennan, Paul, Brewer, Daniel S, Brinkman, Arie B, Bristow, Robert G, Broaddus, Russell R, Brock, Jane E, Brock, Malcolm, Broeks, Annegien, Brooks, Angela N, Brooks, Denise, Brors, Benedikt, Brunak, Søren, Bruxner, Timothy JC, Bruzos, Alicia L, Buchanan, Alex, Buchhalter, Ivo, Buchholz, Christiane, Bullman, Susan, Burke, Hazel, Burkhardt, Birgit, Burns, Kathleen H, Busanovich, John, Bustamante, Carlos D, Butler, Adam P, Butte, Atul J, Byrne, Niall J, Børresen-Dale, Anne-Lise, Caesar-Johnson, Samantha J, Cafferkey, Andy, Cahill, Declan, Calabrese, Claudia, Caldas, Carlos, Calvo, Fabien, Camacho, Niedzica, Campo, Elias, Cantù, Cinzia, Cao, Shaolong, Carey, Thomas E, Carlevaro-Fita, Joana, Carlsen, Rebecca, Cataldo, Ivana, Cazzola, Mario, Cebon, Jonathan, Cerfolio, Robert, Chadwick, Dianne E, Chakravarty, Dimple, Chalmers, Don, Chan, Calvin Wing Yiu, Chan, Kin, Chan-Seng-Yue, Michelle, Chandan, Vishal S, Chanock, Stephen J, Chantrill, Lorraine A, Chateigner, Aurélien, Chatterjee, Nilanjan, Chayama, Kazuaki, Chen, Hsiao-Wei, Chen, Jieming, Chen, Ken, Chen, Yiwen, Chen, Zhaohong, Cherniack, Andrew D, Chien, Jeremy, Chiew, Yoke-Eng, Chin, Suet-Feung, Cho, Juok, Cho, Sunghoon, Choi, Jung Kyoon, Choi, Wan, Chomienne, Christine, Chong, Zechen, Choo, Su Pin, Chou, Angela, Christ, Angelika N, Christie, Elizabeth L, Chuah, Eric, Cibulskis, Carrie, Cibulskis, Kristian, Cingarlini, Sara, Clapham, Peter, Claviez, Alexander, Cleary, Sean, Cloonan, Nicole, Cmero, Marek, Collins, Colin C, Connor, Ashton A, Cooper, Colin S, Cope, Leslie, Corbo, Vincenzo, Cordes, Matthew G, Cordner, Stephen M, Cortés-Ciriano, Isidro, Covington, Kyle, Cowin, Prue A, Craft, Brian, Craft, David, Creighton, Chad J, Cun, Yupeng, Curley, Erin, Cutcutache, Ioana, Czajka, Karolina, Czerniak, Bogdan, Dagg, Rebecca A, Danilova, Ludmila, Davi, Maria Vittoria, Davidson, Natalie R, Davies, Helen, Davis, Ian J, Davis-Dusenbery, Brandi N, Dawson, Kevin J, De La Vega, Francisco M, De Paoli-Iseppi, Ricardo, Defreitas, Timothy, Dei Tos, Angelo P, Delaneau, Olivier, Demchok, John A, Demeulemeester, Jonas, Demidov, German M, Demircioğlu, Deniz, Dennis, Nening M, Denroche, Robert E, Dentro, Stefan C, Desai, Nikita, Deshwar, Amit G, Desmedt, Christine, Deu-Pons, Jordi, Dhalla, Noreen, Dhani, Neesha C, Dhingra, Priyanka, Dhir, Rajiv, DiBiase, Anthony, Diamanti, Klev, Ding, Li, Ding, Shuai, Dinh, Huy Q, Dirix, Luc, Doddapaneni, HarshaVardhan, Donmez, Nilgun, Dow, Michelle T, Drapkin, Ronny, Drechsel, Oliver, Drews, Ruben M, Serge, Serge, Dudderidge, Tim, Dueso-Barroso, Ana, Dunford, Andrew J, Dunn, Michael, Dursi, Lewis Jonathan, Duthie, Fraser R, Dutton-Regester, Ken, Eagles, Jenna, Easton, Douglas F, Edmonds, Stuart, Edwards, Paul A, Edwards, Sandra E, Eeles, Rosalind A, Ehinger, Anna, Eils, Juergen, Eils, Roland, El-Naggar, Adel, Eldridge, Matthew, Ellrott, Kyle, Erkek, Serap, Escaramis, Georgia, Espiritu, Shadrielle MG, Estivill, Xavier, Etemadmoghadam, Dariush, Eyfjord, Jorunn E, Fan, Daiming, Fan, Yu, Farcas, Claudiu, Fassan, Matteo, Fatima, Aquila, Favero, Francesco, Fayzullaev, Nodirjon, Felau, Ina, Fereday, Sian, Ferguson, Martin L, Ferretti, Vincent, Feuerbach, Lars, Field, Matthew A, Fink, J Lynn, Finocchiaro, Gaetano, Fisher, Cyril, Fittall, Matthew W, Fitzgerald, Anna, Fitzgerald, Rebecca C, Flanagan, Adrienne M, Fleshner, Neil E, Flicek, Paul, Foekens, John A, Fong, Kwun M, Fonseca, Nuno A, Foster, Christopher S, Fox, Natalie S, Fraser, Michael, Frazer, Scott, Frenkel-Morgenstern, Milana, Friedman, William, Frigola, Joan, Fronick, Catrina C, Fujimoto, Akihiro, Fujita, Masashi, Fukayama, Masashi, Fulton, Lucinda A, Fulton, Robert S, Furuta, Mayuko, Futreal, P Andrew, Füllgrabe, Anja, Gabriel, Stacey B, Gallinger, Steven, Gambacorti-Passerini, Carlo, Gao, Jianjiong, Gao, Shengjie, Garred, Øystein, Garrison, Erik, Garsed, Dale W, Gehlenborg, Nils, Gelpi, Josep LL, George, Joshy, Gerhard, Daniela S, Gerhauser, Clarissa, Gershenwald, Jeffrey E, Gerstein, Mark, Gerstung, Moritz, Ghori, Mohammed, Ghossein, Ronald, Giama, Nasra H, Gibbs, Richard A, Gibson, Bob, Gill, Anthony J, Gill, Pelvender, Giri, Dilip D, Glodzik, Dominik, Gnanapragasam, Vincent J, Goebler, Maria Elisabeth, Goldman, Mary J, Gomez, Carmen, Gonzalez, Santiago, Gonzalez-Perez, Abel, Gordenin, Dmitry A, Gossage, James, Gotoh, Kunihito, Govindan, Ramaswamy, Grabau, Dorthe, Graham, Janet S, Grant, Robert C, Green, Anthony R, Green, Eric, Greger, Liliana, Grehan, Nicola, Grimaldi, Sonia, Grossman, Robert L, Grundhoff, Adam, Gundem, Gunes, Guo, Qianyun, Gupta, Manaswi, Gupta, Shailja, Gut, Ivo G, Gut, Marta, Göke, Jonathan, Ha, Gavin, Haake, Andrea, Haan, David, Haas, Siegfried, Haase, Kerstin, Haber, James E, Habermann, Nina, Hach, Faraz, Hama, Natsuko, Hamdy, Freddie C, Hamilton, Anne, Hamilton, Mark P, Han, Leng, Hanna, George B, Hansmann, Martin, Haradhvala, Nicholas J, Harismendy, Olivier, Harliwong, Ivon, Harmanci, Arif O, Harrington, Eoghan, Hasegawa, Takanori, Haussler, David, Hawkins, Steve, Hayami, Shinya, Hayashi, Shuto, Hayes, D Neil, Hayes, Stephen J, Hayward, Nicholas K, Hazell, Steven, He, Yao, Heath, Allison P, Heath, Simon C, Hedley, David, Hegde, Apurva M, Heiman, David I, Heinold, Michael C, Heins, Zachary, Heisler, Lawrence E, Hellstrom-Lindberg, Eva, Helmy, Mohamed, Heo, Seong Gu, Hepperla, Austin J, Heredia-Genestar, José María, Herrmann, Carl, Hersey, Peter, Hess, Julian M, Hilmarsdottir, Holmfridur, Hinton, Jonathan, Hirano, Satoshi, Hiraoka, Nobuyoshi, Hobolth, Asger, Hodzic, Ermin, Hoell, Jessica I, Hoffmann, Steve, Hofmann, Oliver, Holbrook, Andrea, Holik, Aliaksei Z, Hollingsworth, Michael A, Holmes, Oliver, Holt, Robert A, Hong, Chen, Hong, Eun Pyo, Hong, Jongwhi H, Hooijer, Gerrit K, Hornshøj, Henrik, Hosoda, Fumie, Hou, Yong, Hovestadt, Volker, Howat, William, Hoyle, Alan P, Hruban, Ralph H, Hu, Jianhong, Hu, Taobo, Hua, Xing, Huang, Kuan-lin, Huang, Mei, Huang, Mi Ni, Huang, Vincent, Huang, Yi, Huber, Wolfgang, Hudson, Thomas J, Hummel, Michael, Hung, Jillian A, Huntsman, David, Hupp, Ted R, Huse, Jason, Huska, Matthew R, Hutter, Barbara, Hutter, Carolyn M, Hübschmann, Daniel, Iacobuzio-Donahue, Christine A, Imbusch, Charles David, Imielinski, Marcin, Imoto, Seiya, Isaacs, William B, Isaev, Keren, Ishikawa, Shumpei, Iskar, Murat, Islam, SM Ashiqul, Ittmann, Michael, Ivkovic, Sinisa, Izarzugaza, Jose MG, Jacquemier, Jocelyne, Jakrot, Valerie, Jamieson, Nigel B, Jang, Gun Ho, Jang, Se Jin, Jayaseelan, Joy C, Jayasinghe, Reyka, Jefferys, Stuart R, Jegalian, Karine, Jennings, Jennifer L, Jeon, Seung-Hyup, Jerman, Lara, Ji, Yuan, Johansson, Peter A, Johns, Amber L, Johns, Jeremy, Johnson, Rory, Johnson, Todd A, Jolly, Clemency, Joly, Yann, Jonasson, Jon G, Jones, Corbin D, Jones, David R, Jones, David TW, Jones, Nic, Jones, Steven JM, Jonkers, Jos, Ju, Young Seok, Juhl, Hartmut, Jung, Jongsun, Juul, Malene, Juul, Randi Istrup, Juul, Sissel, Jäger, Natalie, Kabbe, Rolf, Kahles, Andre, Kahraman, Abdullah, Kakavand, Hojabr, Kalimuthu, Sangeetha, von Kalle, Christof, Kang, Koo Jeong, Karaszi, Katalin, Karlan, Beth, Karlić, Rosa, Karsch, Dennis, Kasaian, Katayoon, Kassahn, Karin S, Katai, Hitoshi, Katoh, Hiroto, Kawakami, Yoshiiku, Kay, Jonathan D, Kazakoff, Stephen H, Kazanov, Marat D, Keays, Maria, Kebebew, Electron, Kefford, Richard F, Kellis, Manolis, Kench, James G, Kennedy, Catherine J, Kerssemakers, Jules NA, Khoo, David, Khoo, Vincent, Khuntikeo, Narong, Khurana, Ekta, Kilpinen, Helena, Kim, Hark Kyun, Kim, Hyung-Lae, Kim, Hyung-Yong, Kim, Hyunghwan, Kim, Jaegil, Kim, Jihoon, Kim, Jong K, Kim, Youngwook, King, Tari A, Klapper, Wolfram, Kleinheinz, Kortine, Klimczak, Leszek J, Knappskog, Stian, Kneba, Michael, Knoppers, Bartha M, Koh, Youngil, Komorowski, Jan, Komura, Daisuke, Komura, Mitsuhiro, Kong, Gu, Kool, Marcel, Korbel, Jan O, Korchina, Viktoriya, Korshunov, Andrey, Koscher, Michael, Koster, Roelof, Kote-Jarai, Zsofia, Koures, Antonios, Kovacevic, Milena, Kremeyer, Barbara, Kretzmer, Helene, Kreuz, Markus, Krishnamurthy, Savitri, Kube, Dieter, Kumar, Kiran, Kumar, Pardeep, Kumar, Sushant, Kumar, Yogesh, Kundra, Ritika, Küppers, Ralf, Lagergren, Jesper, Lai, Phillip H, Laird, Peter W, Lakhani, Sunil R, Lalansingh, Christopher M, Lalonde, Emilie, Lamaze, Fabien C, Lambert, Adam, Lander, Eric, Landgraf, Pablo, Landoni, Luca, Langerød, Anita, Lanzós, Andrés, Larsimont, Denis, Larsson, Erik, Lathrop, Mark, Lau, Loretta MS, Lawerenz, Chris, Lawlor, Rita T, Lawrence, Michael S, Lazic, Ana Mijalkovic, Le, Xuan, Lee, Darlene, Lee, Donghoon, Lee, Eunjung Alice, Lee, Hee Jin, Lee, Jake June-Koo, Lee, Jeong-Yeon, Lee, Juhee, Lee, Ming Ta Michael, Lee-Six, Henry, Lehmann, Kjong-Van, Lehrach, Hans, Lenze, Dido, Leonard, Conrad R, Leongamornlert, Daniel A, Leshchiner, Ignaty, Letourneau, Louis, Letunic, Ivica, Levine, Douglas A, Lewis, Lora, Ley, Tim, Li, Chang, Li, Haiyan Irene, Li, Jun, Li, Lin, Li, Shantao, Li, Siliang, Li, Xiaobo, Li, Xiaotong, Li, Xinyue, Li, Yilong, Liang, Han, Liang, Sheng-Ben, Lichter, Peter, Lin, Pei, Lin, Ziao, Linehan, WM, Lingjærde, Ole Christian, Liu, Dongbing, Liu, Eric Minwei, Liu, Fei-Fei Fei, Liu, Fenglin, Liu, Jia, Liu, Xingmin, Livingstone, Julie, Livitz, Dimitri, Livni, Naomi, Lochovsky, Lucas, Loeffler, Markus, Long, Georgina V, Lopez-Guillermo, Armando, Lou, Shaoke, Lovat, Laurence B, Lu, Yiling, Lu, Yong-Jie, Lu, Youyong, Luchini, Claudio, Lungu, Ilinca, Luo, Xuemei, Luxton, Hayley J, Lynch, Andy G, Lype, Lisa, López, Cristina, López-Otín, Carlos, Z, Eric, Ma, Yussanne, MacGrogan, Gaetan, MacRae, Shona, Macintyre, Geoff, Madsen, Tobias, Maejima, Kazuhiro, Mafficini, Andrea, Maglinte, Dennis T, Maitra, Arindam, Majumder, Partha P, Malcovati, Luca, Malikic, Salem, Malleo, Giuseppe, Mann, Graham J, Mantovani-Löffler, Luisa, Marchal, Kathleen, Marchegiani, Giovanni, Mardis, Elaine R, Margolin, Adam A, Marin, Maximillian G, Markowetz, Florian, Markowski, Julia, Marks, Jeffrey, Marques-Bonet, Tomas, Marra, Marco A, Marsden, Luke, Martens, John WM, Martin-Subero, Jose I, Martincorena, Iñigo, Martinez-Fundichely, Alexander, Maruvka, Yosef E, Mashl, R Jay, Massie, Charlie E, Matthew, Thomas J, Matthews, Lucy, Mayer, Erik, Mayes, Simon, Mayo, Michael, Mbabaali, Faridah, McCune, Karen, McDermott, Ultan, McGillivray, Patrick D, McLellan, Michael D, McPherson, John D, McPherson, John R, McPherson, Treasa A, Meier, Samuel R, Meng, Alice, Meng, Shaowu, Menzies, Andrew, Merrett, Neil D, Merson, Sue, Meyerson, Matthew, Meyerson, William, Mieczkowski, Piotr A, Mihaiescu, George L, Mijalkovic, Sanja, Mikkelsen, Tom, Milella, Michele, Mileshkin, Linda, Miller, Christopher A, Miller, David K, Miller, Jessica K, Mills, Gordon B, Milovanovic, Ana, Minner, Sarah, Miotto, Marco, Arnau, Gisela Mir, Mirabello, Lisa, Mitchell, Chris, Mitchell, Thomas J, Miyano, Satoru, Miyoshi, Naoki, Mizuno, Shinichi, Molnár-Gábor, Fruzsina, Moore, Malcolm J, Moore, Richard A, Morganella, Sandro, Morrison, Carl, Mose, Lisle E, Moser, Catherine D, Muiños, Ferran, Mularoni, Loris, Mungall, Andrew J, Mungall, Karen, Musgrove, Elizabeth A, Mustonen, Ville, Mutch, David, Muyas, Francesc, Muzny, Donna M, Muñoz, Alfonso, Myers, Jerome, Myklebost, Ola, Möller, Peter, Nagae, Genta, Nagrial, Adnan M, Nakagama, Hitoshi, Nakagawa, Hidewaki, Nakamura, Hiromi, Nakamura, Toru, Nakano, Kaoru, Nandi, Tannistha, Nangalia, Jyoti, Nastic, Mia, Navarro, Arcadi, Navarro, Fabio CP, Neal, David E, Nettekoven, Gerd, Newell, Felicity, Newhouse, Steven J, Newton, Yulia, Ng, Alvin Wei Tian, Ng, Anthony, Nicholson, Jonathan, Nicol, David, Nie, Yongzhan, Nielsen, Morten Muhlig, Noble, Michael S, Nones, Katia, Northcott, Paul A, Notta, Faiyaz, O’Connor, Brian D, O’Donnell, Peter, O’Donovan, Maria, O’Meara, Sarah, O’Neill, Brian Patrick, O’Neill, J Robert, Ocana, David, Ochoa, Angelica, Oesper, Layla, Ogden, Christopher, Ohdan, Hideki, Ohi, Kazuhiro, Ohno-Machado, Lucila, Oien, Karin A, Ojesina, Akinyemi I, Ojima, Hidenori, Okusaka, Takuji, Ong, Choon Kiat, Ossowski, Stephan, Ott, German, Ouellette, BF Francis, Paczkowska, Marta, Paiella, Salvatore, Pairojkul, Chawalit, Pajic, Marina, Pan-Hammarström, Qiang, Papaemmanuil, Elli, Papatheodorou, Irene, Paramasivam, Nagarajan, Park, Ji Wan, Park, Joong-Won, Park, Keunchil, Park, Kiejung, Park, Peter J, Parker, Joel S, Parsons, Simon L, Pass, Harvey, Pasternack, Danielle, Pastore, Alessandro, Patch, Ann-Marie, Pauporté, Iris, Pea, Antonio, Pearson, John V, Pedamallu, Chandra Sekhar, Pedersen, Jakob Skou, Pederzoli, Paolo, Peifer, Martin, Pennell, Nathan A, Perou, Charles M, Petersen, Gloria M, Peto, Myron, Petrelli, Nicholas, Petryszak, Robert, Pfister, Stefan M, Phillips, Mark, Pich, Oriol, Pickett, Hilda A, Pihl, Todd D, Pillay, Nischalan, Pinder, Sarah, Pinese, Mark, Pinho, Andreia V, Pitkänen, Esa, Pivot, Xavier, Piñeiro-Yáñez, Elena, Planko, Laura, Plass, Christoph, Pons, Tirso, Popescu, Irinel, Potapova, Olga, Prasad, Aparna, Preston, Shaun R, Prinz, Manuel, Pritchard, Antonia L, Prokopec, Stephenie D, Provenzano, Elena, Puente, Xose S, Puig, Sonia, Puiggròs, Montserrat, Pulido-Tamayo, Sergio, Pupo, Gulietta M, Purdie, Colin A, Quinn, Michael C, Rabionet, Raquel, Rader, Janet S, Radlwimmer, Bernhard, Radovic, Petar, Raeder, Benjamin, Raine, Keiran M, Ramakrishna, Manasa, Ramakrishnan, Kamna, Ramalingam, Suresh, Raphael, Benjamin J, Rathmell, W Kimryn, Rausch, Tobias, Reifenberger, Guido, Reimand, Jüri, Reis-Filho, Jorge, Reuter, Victor, Reyes-Salazar, Iker, Reyna, Matthew A, Reynolds, Sheila M, Riazalhosseini, Yasser, Richardson, Andrea L, Richter, Julia, Ringel, Matthew, Ringnér, Markus, Rino, Yasushi, Rippe, Karsten, Roach, Jeffrey, Roberts, Lewis R, Roberts, Nicola D, Roberts, Steven A, Robertson, A Gordon, Robertson, Alan J, Rodriguez, Javier Bartolomé, Rodriguez-Martin, Bernardo, Rodríguez-González, F Germán, Roehrl, Michael HA, Rohde, Marius, Rokutan, Hirofumi, Romieu, Gilles, Rooman, Ilse, Roques, Tom, Rosebrock, Daniel, Rosenberg, Mara, Rosenstiel, Philip C, Rosenwald, Andreas, Rowe, Edward W, Royo, Romina, Rozen, Steven G, Rubanova, Yulia, Rubio-Perez, Carlota, Rudneva, Vasilisa A, Rusev, Borislav C, Ruzzenente, Andrea, Rätsch, Gunnar, Sabarinathan, Radhakrishnan, Sabelnykova, Veronica Y, Sadeghi, Sara, Sahinalp, S Cenk, Saini, Natalie, Saito-Adachi, Mihoko, Saksena, Gordon, Salcedo, Adriana, Salgado, Roberto, Salichos, Leonidas, Sallari, Richard, Saller, Charles, Salvia, Roberto, Sam, Michelle, Samra, Jaswinder S, Sanchez-Vega, Francisco, Sander, Chris, Sanders, Grant, Sarin, Rajiv, Sarrafi, Iman, Sasaki-Oku, Aya, Sauer, Torill, Sauter, Guido, Saw, Robyn PM, Scardoni, Maria, Scarlett, Christopher J, Scarpa, Aldo, Scelo, Ghislaine, Schadendorf, Dirk, Schein, Jacqueline E, Schilhabel, Markus B, Schlesner, Matthias, Schlomm, Thorsten, Schmidt, Heather K, Schramm, Sarah-Jane, Schreiber, Stefan, Schultz, Nikolaus, Schumacher, Steven E, Schwarz, Roland F, Scolyer, Richard A, Scott, David, Scully, Ralph, Seethala, Raja, Segre, Ayellet V, Selander, Iris, Senbabaoglu, Yasin, Sengupta, Subhajit, Sereni, Elisabetta, Serra, Stefano, Shackleton, Mark, Shah, Nimish C, Shahabi, Sagedeh, Shang, Catherine A, Shang, Ping, Shapira, Ofer, Shelton, Troy, Shen, Ciyue, Shen, Hui, Shepherd, Rebecca, Shi, Ruian, Shi, Yan, Shiah, Yu-Jia, Shih, Juliann, Shimizu, Eigo, Shimizu, Kiyo, Shin, Seung Jun, Shiraishi, Yuichi, Shmaya, Tal, Shmulevich, Ilya, Shorser, Solomon I, Short, Charles, Shrestha, Raunak, Shringarpure, Suyash S, Shriver, Craig, Shuai, Shimin, Sidiropoulos, Nikos, Sieuwerts, Anieta M, Sieverling, Lina, Signoretti, Sabina, Sikora, Katarzyna O, Simbolo, Michele, Simon, Ronald, Simons, Janae V, Simpson, Jared T, Simpson, Peter T, Singer, Samuel, Sinnott-Armstrong, Nasa, Sipahimalani, Payal, Skelly, Tara J, Smid, Marcel, Smith-McCune, Karen, Socci, Nicholas D, Sofia, Heidi J, Soloway, Matthew G, Song, Lei, Sood, Anil K, Sothi, Sharmila, Sotiriou, Christos, Soulette, Cameron M, Span, Paul N, Spellman, Paul T, Sperandio, Nicola, Spillane, Andrew J, Spiro, Oliver, Spring, Jonathan, Staaf, Johan, Stadler, Peter F, Staib, Peter, Stark, Stefan G, Stebbings, Lucy, Stefánsson, Ólafur Andri, Stegle, Oliver, Stenhouse, Alasdair, Stewart, Chip, Stilgenbauer, Stephan, Stratton, Michael R, Stretch, Jonathan R, Struck, Adam J, Stuart, Joshua M, Stunnenberg, Henk G, Su, Hong, Su, Xiaoping, Sungalee, Stephanie, Susak, Hana, Suzuki, Akihiro, Sweep, Fred, Szczepanowski, Monika, Sültmann, Holger, Yugawa, Takashi, Tam, Angela, Tamborero, David, Tan, Benita Kiat Tee, Tan, Donghui, Tan, Patrick, Tanaka, Hiroko, Taniguchi, Hirokazu, Tanskanen, Tomas J, Tarabichi, Maxime, Tarnuzzer, Roy, Tarpey, Patrick, Taschuk, Morgan L, Tatsuno, Kenji, Tavaré, Simon, Taylor, Darrin F, Taylor-Weiner, Amaro, Teague, Jon W, Teh, Bin Tean, Tembe, Varsha, Temes, Javier, Thayer, Sarah P, Thiessen, Nina, Thomas, Gilles, Thomas, Sarah, Thompson, Alan, Thompson, Alastair M, Thompson, John FF, Thompson, R Houston, Thorne, Heather, Thorne, Leigh B, Thorogood, Adrian, Tiao, Grace, Tijanic, Nebojsa, Timms, Lee E, Tirabosco, Roberto, Tojo, Marta, Tommasi, Stefania, Toon, Christopher W, Toprak, Umut H, Torrents, David, Tortora, Giampaolo, Tost, Jörg, Totoki, Yasushi, Townend, David, Traficante, Nadia, Treilleux, Isabelle, Trotta, Jean-Rémi, Trümper, Lorenz HP, Tsao, Ming, Tsunoda, Tatsuhiko, MC Tubio, Jose, Tucker, Olga, Turkington, Richard, Turner, Daniel J, Tutt, Andrew, Ueno, Masaki, Ueno, Naoto T, Umbricht, Christopher, Umer, Husen M, Underwood, Timothy J, Urban, Lara, Urushidate, Tomoko, Ushiku, Tetsuo, Uusküla-Reimand, Liis, Valencia, Alfonso, Van Den Berg, David J, Van Laere, Steven, Van Loo, Peter, Van Meir, Erwin G, Van den Eynden, Gert G, Van der Kwast, Theodorus, Vasudev, Naveen, Vazquez, Miguel, Vedururu, Ravikiran, Veluvolu, Umadevi, Vembu, Shankar, Verbeke, Lieven PC, Vermeulen, Peter, Verrill, Clare, Viari, Alain, Vicente, David, Vicentini, Caterina, VijayRaghavan, K, Viksna, Juris, Vilain, Ricardo E, Villasante, Izar, Vincent-Salomon, Anne, Visakorpi, Tapio, Voet, Douglas, Vyas, Paresh, Vázquez-García, Ignacio, Waddell, Nick M, Waddell, Nicola, Wadelius, Claes, Wadi, Lina, Wagener, Rabea, Wala, Jeremiah A, Wang, Jian, Wang, Jiayin, Wang, Linghua, Wang, Qi, Wang, Wenyi, Wang, Yumeng, Wang, Zhining, Waring, Paul M, Warnatz, Hans-Jörg, Warrell, Jonathan, Warren, Anne Y, Waszak, Sebastian M, Wedge, David C, Weichenhan, Dieter, Weinberger, Paul, Weinstein, John N, Weischenfeldt, Joachim, Weisenberger, Daniel J, Welch, Ian, Wendl, Michael C, Werner, Johannes, Whalley, Justin P, Wheeler, David A, Whitaker, Hayley C, Wigle, Dennis, Wilkerson, Matthew D, Williams, Ashley, Wilmott, James S, Wilson, Gavin W, Wilson, Julie M, Wilson, Richard K, Winterhoff, Boris, Wintersinger, Jeffrey A, Wiznerowicz, Maciej, Wolf, Stephan, Wong, Bernice H, Wong, Tina, Wong, Winghing, Woo, Youngchoon, Wood, Scott, Wouters, Bradly G, Wright, Adam J, Wright, Mark H, Wu, Dai-Ying, Wu, Guanming, Wu, Jianmin, Wu, Kui, Wu, Yang, Wu, Zhenggang, Xi, Liu, Xia, Tian, Xiang, Qian, Xiao, Xiao, Xing, Rui, Xiong, Heng, Xu, Qinying, Xu, Yanxun, Xue, Hong, Yachida, Shinichi, Yakneen, Sergei, Yamaguchi, Rui, Yamaguchi, Takafumi N, Yamamoto, Masakazu, Yamamoto, Shogo, Yamaue, Hiroki, Yang, Fan, Yang, Huanming, Yang, Jean Y, Yang, Liming, Yang, Lixing, Yang, Shanlin, Yang, Tsun-Po, Yang, Yang, Yao, Xiaotong, Yaspo, Marie-Laure, Yates, Lucy, Yau, Christina, Ye, Chen, Ye, Kai, Yellapantula, Venkata D, Yoon, Christopher J, Yoon, Sung-Soo, Yousif, Fouad, Yu, Jun, Yu, Kaixian, Yu, Willie, Yu, Yingyan, Yuan, Yuan, Yuen, Denis, Yung, Christina K, Zaikova, Olga, Zamora, Jorge, Zapatka, Marc, Zenklusen, Jean C, Zenz, Thorsten, Zeps, Nikolajs, Zhang, Cheng-Zhong, Zhang, Fan, Zhang, Hailei, Zhang, Hongwei, Zhang, Hongxin, Zhang, Jiashan, Zhang, Jing, Zhang, Xiuqing, Zhang, Xuanping, Zhang, Yan, Zhang, Zemin, Zhao, Zhongming, Zheng, Liangtao, Zheng, Xiuqing, Zhou, Wanding, Zhou, Yong, Zhu, Bin, Zhu, Hongtu, Zhu, Jingchun, Zhu, Shida, Zou, Lihua, Zou, Xueqing, deFazio, Anna, van As, Nicholas, van Deurzen, Carolien HM, van de Vijver, Marc J, Veer, L van’t, and von Mering, Christian
Subjects: Human Biology & Physiology, Ecology,Evolution & Ethology, Tumour Biology, Genetics & Genomics, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: In cancer, the primary tumour’s organ of origin and histopathology are the strongest determinants of its clinical behaviour, but in 3% of cases a patient presents with a metastatic tumour and no obvious primary. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we train a deep learning classifier to predict cancer type based on patterns of somatic passenger mutations detected in whole genome sequencing (WGS) of 2606 tumours representing 24 common cancer types produced by the PCAWG Consortium. Our classifier achieves an accuracy of 91% on held-out tumor samples and 88% and 83% respectively on independent primary and metastatic samples, roughly double the accuracy of trained pathologists when presented with a metastatic tumour without knowledge of the primary. Surprisingly, adding information on driver mutations reduced accuracy. Our results have clinical applicability, underscore how patterns of somatic passenger mutations encode the state of the cell of origin, and can inform future strategies to detect the source of circulating tumour DNA.
Published: 2023
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26. The landscape of viral associations in human cancers

Author: Zapatka, Marc, Borozan, Ivan, Brewer, Daniel S, Iskar, Murat, Grundhoff, Adam, Alawi, Malik, Desai, Nikita, Sültmann, Holger, Moch, Holger, PCAWG Pathogens, Cooper, Colin S, Eils, Roland, Ferretti, Vincent, Lichter, Peter, PCAWG Consortium, University of Zurich, and Lichter, Peter
Subjects: Human Biology & Physiology, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], 1311 Genetics, Ecology,Evolution & Ethology, 10049 Institute of Pathology and Molecular Pathology, 610 Medicine & health, Tumour Biology, Genetics & Genomics, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], Structural Biology & Biophysics, Computational & Systems Biology
Abstract: Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, for which whole-genome and-for a subset-whole-transcriptome sequencing data from 2,658 cancers across 38 tumor types was aggregated, we systematically investigated potential viral pathogens using a consensus approach that integrated three independent pipelines. Viruses were detected in 382 genome and 68 transcriptome datasets. We found a high prevalence of known tumor-associated viruses such as Epstein-Barr virus (EBV), hepatitis B virus (HBV) and human papilloma virus (HPV; for example, HPV16 or HPV18). The study revealed significant exclusivity of HPV and driver mutations in head-and-neck cancer and the association of HPV with APOBEC mutational signatures, which suggests that impaired antiviral defense is a driving force in cervical, bladder and head-and-neck carcinoma. For HBV, HPV16, HPV18 and adeno-associated virus-2 (AAV2), viral integration was associated with local variations in genomic copy numbers. Integrations at the TERT promoter were associated with high telomerase expression evidently activating this tumor-driving process. High levels of endogenous retrovirus (ERV1) expression were linked to a worse survival outcome in patients with kidney cancer.
Published: 2023

27. Genomic-transcriptomic evolution in lung cancer and metastasis

Author: Martínez-Ruiz, Carlos, Black, James RM, Puttick, Clare, Hill, Mark S, Demeulemeester, Jonas, Cadieux, Elizabeth Larose, Thol, Kerstin, Jones, Thomas P, Veeriah, Selvaraju, Naceur-Lombardelli, Cristina, Toncheva, Antonia, Prymas, Paulina, Rowan, Andrew, Ward, Sophia, Cubitt, Laura, Athanasopoulou, Foteini, Pich, Oriol, Karasaki, Takahiro, Moore, David A, Salgado, Roberto, Colliver, Emma, Castignani, Carla, Dietzen, Michelle, Huebner, Ariana, Al Bakir, Maise, Tanić, Miljana, Watkins, Thomas BK, Lim, Emilia L, Al-Rashed, Ali M, Lang, Danny, Clements, James, Cook, Daniel E, Rosenthal, Rachel, Wilson, Gareth A, Frankell, Alexander M, de Carné Trécesson, Sophie, East, Philip, Kanu, Nnennaya, Litchfield, Kevin, Birkbak, Nicolai J, Hackshaw, Allan, Beck, Stephan, Van Loo, Peter, Jamal-Hanjani, Mariam, Consortium, TRACERx, Swanton, Charles, and McGranahan, Nicholas
Subjects: Model organisms, Chemical Biology & High Throughput, Human Biology & Physiology, Stem Cells, FOS: Clinical medicine, Genome Integrity & Repair, Immunology, Gene Expression, Cell Biology, Tumour Biology, Signalling & Oncogenes, Ecology,Evolution & Ethology, Cell Cycle & Chromosomes, Genetics & Genomics, Computational & Systems Biology
Abstract: Intratumour heterogeneity (ITH) fuels lung cancer evolution, which leads to immune evasion and resistance to therapy1. Here, using paired whole-exome and RNA sequencing data, we investigate intratumour transcriptomic diversity in 354 non-small cell lung cancer tumours from 347 out of the first 421 patients prospectively recruited into the TRACERx study2,3. Analyses of 947 tumour regions, representing both primary and metastatic disease, alongside 96 tumour-adjacent normal tissue samples implicate the transcriptome as a major source of phenotypic variation. Gene expression levels and ITH relate to patterns of positive and negative selection during tumour evolution. We observe frequent copy number-independent allele-specific expression that is linked to epigenomic dysfunction. Allele-specific expression can also result in genomic-transcriptomic parallel evolution, which converges on cancer gene disruption. We extract signatures of RNA single-base substitutions and link their aetiology to the activity of the RNA-editing enzymes ADAR and APOBEC3A, thereby revealing otherwise undetected ongoing APOBEC activity in tumours. Characterizing the transcriptomes of primary-metastatic tumour pairs, we combine multiple machine-learning approaches that leverage genomic and transcriptomic variables to link metastasis-seeding potential to the evolutionary context of mutations and increased proliferation within primary tumour regions. These results highlight the interplay between the genome and transcriptome in influencing ITH, lung cancer evolution and metastasis.
Published: 2023
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28. The effects of clonal heterogeneity on cancer immunosurveillance

Author: Krijn K. Dijkstra, Yin Wu, and Charles Swanton
Subjects: Model organisms, Chemical Biology & High Throughput, Cancer Research, Human Biology & Physiology, FOS: Clinical medicine, Genome Integrity & Repair, Immunology, Cell Biology, Tumour Biology, Signalling & Oncogenes, Oncology, Ecology,Evolution & Ethology, Genetics & Genomics, Computational & Systems Biology
Abstract: Intratumor heterogeneity (ITH) is associated with tumor progression in several clinical and experimental settings and contributes to therapeutic resistance. Its relation to cancer immunosurveillance is complex. Clonally heterogeneous tumors are associated with decreased immunosurveillance and are less responsive to immune checkpoint inhibition, but the mechanistic basis underlying these observations remains unclear. One possibility is that tumors that are under active immunosurveillance are relatively homogeneous because immunosurveillance prevents the outgrowth of immunogenic subclones. Alternatively, high ITH might directly impair immunosurveillance due to lower dosages of subclonal antigens, competition between antigens and immunodominance, the induction of detrimental T cell differentiation programs, or negative feedback loops. Here we review the evidence for these scenarios and outline hypotheses that could underlie the negative association between clonal heterogeneity and cancer immunosurveillance.
Published: 2023
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29. Early immune pressure initiated by tissue-resident memory T cells sculpts tumor evolution in non-small cell lung cancer

Author: Weeden, Clare E, Gayevskiy, Velimir, Marceaux, Claire, Batey, Daniel, Tan, Tania, Yokote, Kenta, Ribera, Nina Tubau, Clatch, Allison, Christo, Susan, Teh, Charis E, Mitchell, Andrew J, Trussart, Marie, Rankin, Lucille C, Obers, Andreas, McDonald, Jackson A, Sutherland, Kate D, Sharma, Varun J, Starkey, Graham, D'Costa, Rohit, Antippa, Phillip, Leong, Tracy, Steinfort, Daniel, Irving, Louis, Swanton, Charles, Gordon, Claire L, Mackay, Laura K, Speed, Terence P, Gray, Daniel HD, and Asselin-Labat, Marie-Liesse
Subjects: Chemical Biology & High Throughput, Signalling & Oncogenes, Human Biology & Physiology, Ecology,Evolution & Ethology, Genome Integrity & Repair, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract: Tissue-resident memory T (TRM) cells provide immune defense against local infection and can inhibit cancer progression. However, it is unclear to what extent chronic inflammation impacts TRM activation and whether TRM cells existing in tissues before tumor onset influence cancer evolution in humans. We performed deep profiling of healthy lungs and lung cancers in never-smokers (NSs) and ever-smokers (ESs), finding evidence of enhanced immunosurveillance by cells with a TRM-like phenotype in ES lungs. In preclinical models, tumor-specific or bystander TRM-like cells present prior to tumor onset boosted immune cell recruitment, causing tumor immune evasion through loss of MHC class I protein expression and resistance to immune checkpoint inhibitors. In humans, only tumors arising in ES patients underwent clonal immune evasion, unrelated to tobacco-associated mutagenic signatures or oncogenic drivers. These data demonstrate that enhanced TRM-like activity prior to tumor development shapes the evolution of tumor immunogenicity and can impact immunotherapy outcomes.
Published: 2023
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30. Metabolomic profiling reveals bacterial metabolic adaptation strategies and new metabolites

Author: Wang, Hua and de Carvalho, Luiz Pedro S
Subjects: Metabolism, Ecology,Evolution & Ethology, Infectious Disease, Biochemistry & Proteomics, Biochemistry, Genetics & Genomics, Analytical Chemistry, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: How has metabolomics helped our understanding of infectious diseases? With the threat of antimicrobial resistance to human health around the world, metabolomics has emerged as a powerful tool to comprehensively characterize metabolic pathways to identify new drug targets. However, its output is constrained to known metabolites and their metabolic pathways. Recent advances in instrumentation, methodologies, and computational mass spectrometry have accelerated the use of metabolomics to understand pathogen-host metabolic interactions. This short review discusses a selection of recent publications using metabolomics in infectious/bacterial diseases. These studies unravel the links between metabolic adaptations to environments and host metabolic responses. Moreover, they highlight the importance of enzyme function and metabolite characterization in identifying new drug targets and biomarkers, as well as precision medicine in monitoring therapeutics and diagnosing diseases.
Published: 2023
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31. Combined burden and functional impact tests for cancer driver discovery using DriverPower

Author: Shuai, Shimin, Abascal, Federico, Amin, Samirkumar B, Bader, Gary D, Bandopadhayay, Pratiti, Barenboim, Jonathan, Beroukhim, Rameen, Bertl, Johanna, Boroevich, Keith A, Brunak, Søren, Campbell, Peter J, Carlevaro-Fita, Joana, Chakravarty, Dimple, Chan, Calvin Wing Yiu, Chen, Ken, Choi, Jung Kyoon, Deu-Pons, Jordi, Dhingra, Priyanka, Diamanti, Klev, Feuerbach, Lars, Fink, J Lynn, Fonseca, Nuno A, Frigola, Joan, Gambacorti-Passerini, Carlo, Garsed, Dale W, Gerstein, Mark, Getz, Gad, Guo, Qianyun, Gut, Ivo G, Haan, David, Hamilton, Mark P, Haradhvala, Nicholas J, Harmanci, Arif O, Helmy, Mohamed, Herrmann, Carl, Hess, Julian M, Hobolth, Asger, Hodzic, Ermin, Hong, Chen, Hornshøj, Henrik, Isaev, Keren, Izarzugaza, Jose MG, Johnson, Rory, Johnson, Todd A, Juul, Malene, Juul, Randi Istrup, Kahles, Andre, Kahraman, Abdullah, Kellis, Manolis, Khurana, Ekta, Kim, Jaegil, Kim, Jong K, Kim, Youngwook, Komorowski, Jan, Korbel, Jan O, Kumar, Sushant, Lanzós, Andrés, Larsson, Erik, Lawrence, Michael S, Lee, Donghoon, Lehmann, Kjong-Van, Li, Shantao, Li, Xiaotong, Lin, Ziao, Liu, Eric Minwei, Lochovsky, Lucas, Lou, Shaoke, Madsen, Tobias, Marchal, Kathleen, Martincorena, Iñigo, Martinez-Fundichely, Alexander, Maruvka, Yosef E, McGillivray, Patrick D, Meyerson, William, Muiños, Ferran, Mularoni, Loris, Nakagawa, Hidewaki, Nielsen, Morten Muhlig, Paczkowska, Marta, Park, Keunchil, Park, Kiejung, Pedersen, Jakob Skou, Pons, Tirso, Pulido-Tamayo, Sergio, Raphael, Benjamin J, Reimand, Jüri, Reyes-Salazar, Iker, Reyna, Matthew A, Rheinbay, Esther, Rubin, Mark A, Rubio-Perez, Carlota, Sahinalp, S Cenk, Saksena, Gordon, Salichos, Leonidas, Sander, Chris, Schumacher, Steven E, Shackleton, Mark, Shapira, Ofer, Shen, Ciyue, Shrestha, Raunak, Sidiropoulos, Nikos, Sieverling, Lina, Sinnott-Armstrong, Nasa, Stein, Lincoln D, Stuart, Joshua M, Tamborero, David, Tiao, Grace, Tsunoda, Tatsuhiko, Umer, Husen M, Uusküla-Reimand, Liis, Valencia, Alfonso, Vazquez, Miguel, Verbeke, Lieven PC, 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A, Robertson, A Gordon, Robertson, Alan J, Rodriguez, Javier Bartolomé, Rodriguez-Martin, Bernardo, Rodríguez-González, F Germán, Roehrl, Michael HA, Rohde, Marius, Rokutan, Hirofumi, Romieu, Gilles, Rooman, Ilse, Roques, Tom, Rosebrock, Daniel, Rosenberg, Mara, Rosenstiel, Philip C, Rosenwald, Andreas, Rowe, Edward W, Royo, Romina, Rozen, Steven G, Rubanova, Yulia, Rudneva, Vasilisa A, Rusev, Borislav C, Ruzzenente, Andrea, Rätsch, Gunnar, Sabarinathan, Radhakrishnan, Sabelnykova, Veronica Y, Sadeghi, Sara, Saini, Natalie, Saito-Adachi, Mihoko, Salcedo, Adriana, Salgado, Roberto, Sallari, Richard, Saller, Charles, Salvia, Roberto, Sam, Michelle, Samra, Jaswinder S, Sanchez-Vega, Francisco, Sanders, Grant, Sarin, Rajiv, Sarrafi, Iman, Sasaki-Oku, Aya, Sauer, Torill, Sauter, Guido, Saw, Robyn PM, Scardoni, Maria, Scarlett, Christopher J, Scarpa, Aldo, Scelo, Ghislaine, Schadendorf, Dirk, Schein, Jacqueline E, Schilhabel, Markus B, Schlesner, Matthias, Schlomm, Thorsten, Schmidt, Heather K, Schramm, Sarah-Jane, Schreiber, Stefan, Schultz, Nikolaus, Schwarz, Roland F, Scolyer, Richard A, Scott, David, Scully, Ralph, Seethala, Raja, Segre, Ayellet V, Selander, Iris, Semple, Colin A, Senbabaoglu, Yasin, Sengupta, Subhajit, Sereni, Elisabetta, Serra, Stefano, Sgroi, Dennis C, Shah, Nimish C, Shahabi, Sagedeh, Shang, Catherine A, Shang, Ping, Shelton, Troy, Shen, Hui, Shepherd, Rebecca, Shi, Ruian, Shi, Yan, Shiah, Yu-Jia, Shibata, Tatsuhiro, Shih, Juliann, Shimizu, Eigo, Shimizu, Kiyo, Shin, Seung Jun, Shiraishi, Yuichi, Shmaya, Tal, Shmulevich, Ilya, Shorser, Solomon I, Short, Charles, Shringarpure, Suyash S, Shriver, Craig, Siebert, Reiner, Sieuwerts, Anieta M, Signoretti, Sabina, Sikora, Katarzyna O, Simbolo, Michele, Simon, Ronald, Simons, Janae V, Simpson, Jared T, Simpson, Peter T, Singer, Samuel, Sipahimalani, Payal, Skelly, Tara J, Smid, Marcel, Smith, Jaclyn, Smith-McCune, Karen, Socci, Nicholas D, Sofia, Heidi J, Soloway, Matthew G, Song, Lei, Sood, Anil K, Sothi, Sharmila, Sotiriou, Christos, Soulette, Cameron M, Span, Paul N, Spellman, Paul T, Sperandio, Nicola, Spillane, Andrew J, Spiro, Oliver, Spring, Jonathan, Staaf, Johan, Stadler, Peter F, Staib, Peter, Stark, Stefan G, Stebbings, Lucy, Stefánsson, Ólafur Andri, Stegle, Oliver, Stenhouse, Alasdair, Stewart, Chip, Stilgenbauer, Stephan, Stobbe, Miranda D, Stratton, Michael R, Stretch, Jonathan R, Struck, Adam J, Stunnenberg, Henk G, Su, Hong, Su, Xiaoping, Sun, Ren X, Sungalee, Stephanie, Susak, Hana, Suzuki, Akihiro, Sweep, Fred, Szczepanowski, Monika, Sültmann, Holger, Yugawa, Takashi, Tam, Angela, Tan, Benita Kiat Tee, Tan, Donghui, Tan, Patrick, Tanaka, Hiroko, Taniguchi, Hirokazu, Tanskanen, Tomas J, Tarabichi, Maxime, Tarnuzzer, Roy, Tarpey, Patrick, Taschuk, Morgan L, Tatsuno, Kenji, Tavaré, Simon, Taylor, Darrin F, Taylor-Weiner, Amaro, Teague, Jon W, Teh, Bin Tean, Tembe, Varsha, Temes, Javier, Thai, Kevin, Thayer, Sarah P, Thiessen, Nina, Thomas, Gilles, Thomas, Sarah, Thompson, Alan, Thompson, Alastair M, Thompson, John FF, Thompson, R Houston, Thorne, Heather, Thorne, Leigh B, Thorogood, Adrian, Tijanic, Nebojsa, Timms, Lee E, Tirabosco, Roberto, Tojo, Marta, Tommasi, Stefania, Toon, Christopher W, Toprak, Umut H, Torrents, David, Tortora, Giampaolo, Tost, Jörg, Totoki, Yasushi, Townend, David, Traficante, Nadia, Treilleux, Isabelle, Trotta, Jean-Rémi, Trümper, Lorenz HP, Tsao, Ming, MC Tubio, Jose, Tucker, Olga, Turkington, Richard, Turner, Daniel J, Tutt, Andrew, Ueno, Masaki, Ueno, Naoto T, Umbricht, Christopher, Underwood, Timothy J, Urban, Lara, Urushidate, Tomoko, Ushiku, Tetsuo, Van Den Berg, David J, Van Laere, Steven, Van Loo, Peter, Van Meir, Erwin G, Van den Eynden, Gert G, Van der Kwast, Theodorus, Vasudev, Naveen, Vedururu, Ravikiran, Veluvolu, Umadevi, Vembu, Shankar, Vermeulen, Peter, Verrill, Clare, Viari, Alain, Vicente, David, Vicentini, Caterina, VijayRaghavan, K, Viksna, Juris, Vilain, Ricardo E, Villasante, Izar, Vincent-Salomon, Anne, Visakorpi, Tapio, Voet, Douglas, Vyas, Paresh, Vázquez-García, Ignacio, Waddell, Nick M, Waddell, Nicola, Wagener, Rabea, Wala, Jeremiah A, Wang, Jian, Wang, Linghua, Wang, Qi, Wang, Wenyi, Wang, Yumeng, Wang, Zhining, Waring, Paul M, Warnatz, Hans-Jörg, Warren, Anne Y, Wedge, David C, Weichenhan, Dieter, Weinberger, Paul, Weinstein, John N, Weisenberger, Daniel J, Welch, Ian, Wendl, Michael C, Werner, Johannes, Whalley, Justin P, Whitaker, Hayley C, Wigle, Dennis, Wilkerson, Matthew D, Williams, Ashley, Wilmott, James S, Wilson, Gavin W, Wilson, Julie M, Wilson, Richard K, Winterhoff, Boris, Wintersinger, Jeffrey A, Wiznerowicz, Maciej, Wolf, Stephan, Wong, Bernice H, Wong, Tina, Wong, Winghing, Woo, Youngchoon, Wood, Scott, Wouters, Bradly G, Wright, Adam J, Wright, Derek W, Wright, Mark H, Wu, Chin-Lee, Wu, Dai-Ying, Wu, Jianmin, Wu, Kui, Wu, Yang, Wu, Zhenggang, Xi, Liu, Xia, Tian, Xiang, Qian, Xiao, Xiao, Xing, Rui, Xiong, Heng, Xu, Qinying, Xu, Yanxun, Xue, Hong, Yachida, Shinichi, Yakneen, Sergei, Yamaguchi, Rui, Yamaguchi, Takafumi N, Yamamoto, Masakazu, Yamamoto, Shogo, Yamaue, Hiroki, Yang, Fan, Yang, Huanming, Yang, Jean Y, Yang, Liming, Yang, Lixing, Yang, Shanlin, Yang, Tsun-Po, Yang, Yang, Yao, Xiaotong, Yaspo, Marie-Laure, Yates, Lucy, Yau, Christina, Ye, Chen, Ye, Kai, Yellapantula, Venkata D, Yoon, Christopher J, Yoon, Sung-Soo, Yousif, Fouad, Yu, Kaixian, Yu, Willie, Yu, Yingyan, Yuan, Ke, Yuan, Yuan, Yuen, Denis, Yung, Christina K, Zaikova, Olga, Zamora, Jorge, Zapatka, Marc, Zenklusen, Jean C, Zenz, Thorsten, Zeps, Nikolajs, Zhang, Cheng-Zhong, Zhang, Fan, Zhang, Hailei, Zhang, Hongwei, Zhang, Hongxin, Zhang, Jiashan, Zhang, Junjun, Zhang, Xiuqing, Zhang, Zemin, Zheng, Liangtao, Zheng, Xiuqing, Zhou, Wanding, Zhou, Yong, Zhu, Bin, Zhu, Hongtu, Zhu, Jingchun, Zhu, Shida, Zou, Xueqing, deFazio, Anna, van As, Nicholas, van Deurzen, Carolien HM, van de Vijver, Marc J, and Veer, L van’t
Subjects: Human Biology & Physiology, Ecology,Evolution & Ethology, Tumour Biology, Genetics & Genomics, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole genomes. Using a total of 1373 genomic features derived from public sources, DriverPower’s background mutation model explains up to 93% of the regional variance in the mutation rate across multiple tumour types. By incorporating functional impact scores, we are able to further increase the accuracy of driver discovery. Testing across a collection of 2583 cancer genomes from the PCAWG project, DriverPower identifies 217 coding and 95 non-coding driver candidates. Comparing to six published methods used by the PCAWG Drivers and Functional Interpretation Working Group, DriverPower has the highest F1 score for both coding and non-coding driver discovery. This demonstrates that DriverPower is an effective framework for computational driver discovery.
Published: 2023
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32. The molecular evolution of spermatogenesis across mammals

Author: Svante Pääbo, Henrik Kaessmann, Thoomke Brüning, Frank Grützner, Philipp Khaitovich, Francesco Lamanna, Mari Sepp, Meritxell Riera Belles, Julia Schmidt, Katharina Mößinger, Christian Conrad, Rüdiger Behr, Celine Schneider, Ronald E. Bontrop, Sofia B. Winge, Kristian Almstrup, Timo Trefzer, Florent Murat, Ivanela Kondova, Margarida Cardoso-Moreira, Evgeny Leushkin, Noe Mbengue, Mikkel H. Schierup, Tomas Marques-Bonet, Theoretical Biology and Bioinformatics, Sub Theoretical Biology, Center for Molecular Biology - Zentrum für Molekulare Biologie [Heidelberg, Germany] (ZMBH), Universität Heidelberg [Heidelberg], Aarhus University [Aarhus], University of Copenhagen = Københavns Universitet (KU), Berlin Institute of Health (BIH), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], The Francis Crick Institute [London], Biomedical Primate Research Centre [Rijswijk] (BPRC), German Primate Center - Deutsches Primatenzentrum -- Leibniz Insitute for Primate Research -- [Göttingen, Allemagne] (GPC - DPZ), German Center for Cardiovascular Research (DZHK), Skolkovo Institute of Science and Technology [Moscow] (Skoltech), Max Planck Institute for Evolutionary Anthropology [Leipzig], Max-Planck-Gesellschaft, Institut de Biologia Evolutiva [Barcelona] (IBE / UPF - CSIC), Universitat Pompeu Fabra [Barcelona] (UPF), Institució Catalana de Recerca i Estudis Avançats (ICREA), Centre for Genomic Regulation [Barcelona] (CRG), Universitat Pompeu Fabra [Barcelona] (UPF)-Centro Nacional de Analisis Genomico [Barcelona] (CNAG), Barcelona Institute of Science and Technology (BIST), Universitat Autònoma de Barcelona (UAB), Robinson Research Institute, and University of Adelaide
Subjects: Male, [SDV]Life Sciences [q-bio], Gene Expression, Cell-adhesion, 0302 clinical medicine, Ecology,Evolution & Ethology, Origins, Sex-chromosomes, Features, X chromosome, X-chromosome, 0303 health sciences, Spermatogenic Cell, Human Biology & Physiology, Multidisciplinary, Chromatin/genetics, Sertoli cell, Gene expression profiling, Dynamics, Chromatin, medicine.anatomical_structure, Sexual selection, Genetics & Genomics, Macaque, Model organisms, Evolution, Mammals/genetics, Biology, Chromosomes, Evolutionary genetics, Evolution, Molecular, 03 medical and health sciences, Meiosis, Molecular evolution, medicine, Animals, mammals, General, 030304 developmental biology, Computational & Systems Biology, Spermatogenesis/genetics, Molecular, Chromosome, Evolutionary pressure, spermatogenesis, Genes, Meiosis/genetics, Evolutionary biology, Testis/metabolism, 030217 neurology & neurosurgery, Developmental Biology
Abstract: The testis produces gametes through spermatogenesis and evolves rapidly at both the morphological and molecular level in mammals1-6, probably owing to the evolutionary pressure on males to be reproductively successful7. However, the molecular evolution of individual spermatogenic cell types across mammals remains largely uncharacterized. Here we report evolutionary analyses of single-nucleus transcriptome data for testes from 11 species that cover the three main mammalian lineages (eutherians, marsupials and monotremes) and birds (the evolutionary outgroup), and include seven primates. We find that the rapid evolution of the testis was driven by accelerated fixation rates of gene expression changes, amino acid substitutions and new genes in late spermatogenic stages, probably facilitated by reduced pleiotropic constraints, haploid selection and transcriptionally permissive chromatin. We identify temporal expression changes of individual genes across species and conserved expression programs controlling ancestral spermatogenic processes. Genes predominantly expressed in spermatogonia (germ cells fuelling spermatogenesis) and Sertoli (somatic support) cells accumulated on X chromosomes during evolution, presumably owing to male-beneficial selective forces. Further work identified transcriptomal differences between X- and Y-bearing spermatids and uncovered that meiotic sex-chromosome inactivation (MSCI) also occurs in monotremes and hence is common to mammalian sex-chromosome systems. Thus, the mechanism of meiotic silencing of unsynapsed chromatin, which underlies MSCI, is an ancestral mammalian feature. Our study illuminates the molecular evolution of spermatogenesis and associated selective forces, and provides a resource for investigating the biology of the testis across mammals. We thank all members of the Kaessmann group, S. Tirier for discussions and N. Trost for the administration of the Kaessmann laboratory server. Computations were performed on the Kaessmann laboratory server and the bwForCluster from the Heidelberg University Computational Center (supported by the state of Baden-Württemberg through bwHPC and the German Research Foundation grant no. INST 35/1134-1 FUGG). This research was supported by grants from the ERC (grant no. 615253, OntoTransEvol) and German Research Council (DFG, grant nos. SFB 873 and KA 1710/4-1) to H.K., by the CellNetworks Postdoc Fellowship and EMBO Long-Term Fellowship to F.M. (grant no. ALTF 591-2017), and by the Australian Research Council (grant no. FT160100267) to F.G. and by the Novo Nordisk Foundation (grant no. NNF21OC0069913) to K.A. and (grant no. NNF18OC0031004) to M.H.S. The use of all other mammalian samples for the type of work described in this study was approved by ERC ethics screening panels (ERC starting grant no. 242597, SexGenTransEvolution and ERC consolidator grant no. 615253, OntoTransEvol).
Published: 2023
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33. Integrative pathway enrichment analysis of multivariate omics data

Author: Paczkowska, Marta, Barenboim, Jonathan, Sintupisut, Nardnisa, Fox, Natalie S, Zhu, Helen, Abd-Rabbo, Diala, Mee, Miles W, Boutros, Paul C, Abascal, Federico, Amin, Samirkumar B, Bader, Gary D, Beroukhim, Rameen, Bertl, Johanna, Boroevich, Keith A, Brunak, Søren, Campbell, Peter J, Carlevaro-Fita, Joana, Chakravarty, Dimple, Chan, Calvin Wing Yiu, Chen, Ken, Choi, Jung Kyoon, Deu-Pons, Jordi, Dhingra, Priyanka, Diamanti, Klev, Feuerbach, Lars, Fink, J Lynn, Fonseca, Nuno A, Frigola, Joan, Gambacorti-Passerini, Carlo, Garsed, Dale W, Gerstein, Mark, Getz, Gad, Gonzalez-Perez, Abel, Guo, Qianyun, Gut, Ivo G, Haan, David, Hamilton, Mark P, Haradhvala, Nicholas J, Harmanci, Arif O, Helmy, Mohamed, Herrmann, Carl, Hess, Julian M, Hobolth, Asger, Hodzic, Ermin, Hong, Chen, Hornshøj, Henrik, Isaev, Keren, Izarzugaza, Jose MG, Johnson, Rory, Johnson, Todd A, Juul, Malene, Juul, Randi Istrup, Kahles, Andre, Kahraman, Abdullah, Kellis, Manolis, Khurana, Ekta, Kim, Jaegil, Kim, Jong K, Kim, Youngwook, Komorowski, Jan, Korbel, Jan O, Kumar, Sushant, Lanzós, Andrés, Lawrence, Michael S, Lee, Donghoon, Lehmann, Kjong-Van, Li, Shantao, Li, Xiaotong, Lin, Ziao, Liu, Eric Minwei, Lochovsky, Lucas, Lou, Shaoke, Madsen, Tobias, Marchal, Kathleen, Martincorena, Iñigo, Martinez-Fundichely, Alexander, Maruvka, Yosef E, McGillivray, Patrick D, Meyerson, William, Muiños, Ferran, Mularoni, Loris, Nakagawa, Hidewaki, Nielsen, Morten Muhlig, Park, Keunchil, Park, Kiejung, Pedersen, Jakob Skou, Pich, Oriol, Pons, Tirso, Pulido-Tamayo, Sergio, Raphael, Benjamin J, Reyes-Salazar, Iker, Reyna, Matthew A, Rheinbay, Esther, Rubin, Mark A, Rubio-Perez, Carlota, Sabarinathan, Radhakrishnan, Sahinalp, S Cenk, Saksena, Gordon, Salichos, Leonidas, Sander, Chris, Schumacher, Steven E, Shackleton, Mark, Shapira, Ofer, Shen, Ciyue, Shrestha, Raunak, Shuai, Shimin, Sidiropoulos, Nikos, Sieverling, Lina, Sinnott-Armstrong, Nasa, Stein, Lincoln D, Stuart, Joshua M, Tamborero, David, Tiao, Grace, Tsunoda, Tatsuhiko, Umer, Husen M, Uusküla-Reimand, Liis, Valencia, Alfonso, Vazquez, Miguel, Verbeke, Lieven PC, Wadelius, Claes, Wadi, Lina, Wang, Jiayin, Warrell, Jonathan, Waszak, Sebastian M, Weischenfeldt, Joachim, Wheeler, David A, Wu, Guanming, Yu, Jun, Zhang, Jing, Zhang, Xuanping, Zhang, Yan, Zhao, Zhongming, Zou, Lihua, von Mering, Christian, Reimand, Jüri, Aaltonen, Lauri A, Abeshouse, Adam, Aburatani, Hiroyuki, Adams, David J, Agrawal, Nishant, Ahn, Keun Soo, Ahn, Sung-Min, Aikata, Hiroshi, Akbani, Rehan, Akdemir, Kadir C, Al-Ahmadie, Hikmat, Al-Sedairy, Sultan T, Al-Shahrour, Fatima, Alawi, Malik, Albert, Monique, Aldape, Kenneth, Alexandrov, Ludmil B, Ally, Adrian, Alsop, Kathryn, Alvarez, Eva G, Amary, Fernanda, Aminou, Brice, Ammerpohl, Ole, Anderson, Matthew J, Ang, Yeng, Antonello, Davide, Anur, Pavana, Aparicio, Samuel, Appelbaum, Elizabeth L, Arai, Yasuhito, Aretz, Axel, Arihiro, Koji, Ariizumi, Shun-ichi, Armenia, Joshua, Arnould, Laurent, Asa, Sylvia, Assenov, Yassen, Atwal, Gurnit, Aukema, Sietse, Auman, J Todd, Aure, Miriam RR, Awadalla, Philip, Aymerich, Marta, Baez-Ortega, Adrian, Bailey, Matthew H, Bailey, Peter J, Balasundaram, Miruna, Balu, Saianand, Bandopadhayay, Pratiti, Banks, Rosamonde E, Barbi, Stefano, Barbour, Andrew P, Barnholtz-Sloan, Jill, Barr, Hugh, Barrera, Elisabet, Bartlett, John, Bartolome, Javier, Bassi, Claudio, Bathe, Oliver F, Baumhoer, Daniel, Bavi, Prashant, Baylin, Stephen B, Bazant, Wojciech, Beardsmore, Duncan, Beck, Timothy A, Behjati, Sam, Behren, Andreas, Niu, Beifang, Bell, Cindy, Beltran, Sergi, Benz, Christopher, Berchuck, Andrew, Bergmann, Anke K, Bergstrom, Erik N, Berman, Benjamin P, Berney, Daniel M, Bernhart, Stephan H, Berrios, Mario, Bersani, Samantha, Betancourt, Miguel, Bhandari, Vinayak, Bhosle, Shriram G, Biankin, Andrew V, Bieg, Matthias, Bigner, Darell, Binder, Hans, Birney, Ewan, Birrer, Michael, Biswas, Nidhan K, Bjerkehagen, Bodil, Bodenheimer, Tom, Boice, Lori, Bonizzato, Giada, De Bono, Johann S, Boot, Arnoud, Bootwalla, Moiz S, Borg, Ake, Borkhardt, Arndt, Borozan, Ivan, Borst, Christoph, Bosenberg, Marcus, Bosio, Mattia, Boultwood, Jacqueline, Bourque, Guillaume, Bova, G Steven, Bowen, David T, Bowlby, Reanne, Bowtell, David DL, Boyault, Sandrine, Boyce, Rich, Boyd, Jeffrey, Brazma, Alvis, Brennan, Paul, Brewer, Daniel S, Brinkman, Arie B, Bristow, Robert G, Broaddus, Russell R, Brock, Jane E, Brock, Malcolm, Broeks, Annegien, Brooks, Angela N, Brooks, Denise, Brors, Benedikt, Bruxner, Timothy JC, Bruzos, Alicia L, Buchanan, Alex, Buchhalter, Ivo, Buchholz, Christiane, Bullman, Susan, Burke, Hazel, Burkhardt, Birgit, Burns, Kathleen H, Busanovich, John, Bustamante, Carlos D, Butler, Adam P, Butte, Atul J, Byrne, Niall J, Børresen-Dale, Anne-Lise, Caesar-Johnson, Samantha J, Cafferkey, Andy, Cahill, Declan, Calabrese, Claudia, Caldas, Carlos, Calvo, Fabien, Camacho, Niedzica, Campo, Elias, Cantù, Cinzia, Cao, Shaolong, Carey, Thomas E, Carlsen, Rebecca, Cataldo, Ivana, Cazzola, Mario, Cebon, Jonathan, Cerfolio, Robert, Chadwick, Dianne E, Chalmers, Don, Chan, Kin, Chan-Seng-Yue, Michelle, Chandan, Vishal S, Chang, David K, Chanock, Stephen J, Chantrill, Lorraine A, Chateigner, Aurélien, Chatterjee, Nilanjan, Chayama, Kazuaki, Chen, Hsiao-Wei, Chen, Jieming, Chen, Yiwen, Chen, Zhaohong, Cherniack, Andrew D, Chien, Jeremy, Chiew, Yoke-Eng, Chin, Suet-Feung, Cho, Juok, Cho, Sunghoon, Choi, Wan, Chomienne, Christine, Chong, Zechen, Choo, Su Pin, Chou, Angela, Christ, Angelika N, Christie, Elizabeth L, Chuah, Eric, Cibulskis, Carrie, Cibulskis, Kristian, Cingarlini, Sara, Clapham, Peter, Claviez, Alexander, Cleary, Sean, Cloonan, Nicole, Cmero, Marek, Collins, Colin C, Connor, Ashton A, Cooke, Susanna L, Cooper, Colin S, Cope, Leslie, Corbo, Vincenzo, Cordes, Matthew G, Cordner, Stephen M, Cortés-Ciriano, Isidro, Covington, Kyle, Cowin, Prue A, Craft, Brian, Craft, David, Creighton, Chad J, Cun, Yupeng, Curley, Erin, Cutcutache, Ioana, Czajka, Karolina, Czerniak, Bogdan, Dagg, Rebecca A, Danilova, Ludmila, Davi, Maria Vittoria, Davidson, Natalie R, Davies, Helen, Davis, Ian J, Davis-Dusenbery, Brandi N, Dawson, Kevin J, De La Vega, Francisco M, De Paoli-Iseppi, Ricardo, Defreitas, Timothy, Dei Tos, Angelo P, Delaneau, Olivier, Demchok, John A, Demeulemeester, Jonas, Demidov, German M, Demircioğlu, Deniz, Dennis, Nening M, Denroche, Robert E, Dentro, Stefan C, Desai, Nikita, Deshpande, Vikram, Deshwar, Amit G, Desmedt, Christine, Dhalla, Noreen, Dhani, Neesha C, Dhir, Rajiv, DiBiase, Anthony, Ding, Li, Ding, Shuai, Dinh, Huy Q, Dirix, Luc, Doddapaneni, HarshaVardhan, Donmez, Nilgun, Dow, Michelle T, Drapkin, Ronny, Drechsel, Oliver, Drews, Ruben M, Serge, Serge, Dudderidge, Tim, Dueso-Barroso, Ana, Dunford, Andrew J, Dunn, Michael, Dursi, Lewis Jonathan, Duthie, Fraser R, Dutton-Regester, Ken, Eagles, Jenna, Easton, Douglas F, Edmonds, Stuart, Edwards, Paul A, Edwards, Sandra E, Eeles, Rosalind A, Ehinger, Anna, Eils, Juergen, Eils, Roland, El-Naggar, Adel, Eldridge, Matthew, Ellrott, Kyle, Erkek, Serap, Escaramis, Georgia, Espiritu, Shadrielle MG, Estivill, Xavier, Etemadmoghadam, Dariush, Eyfjord, Jorunn E, Faltas, Bishoy M, Fan, Daiming, Fan, Yu, Faquin, William C, Farcas, Claudiu, Fassan, Matteo, Fatima, Aquila, Favero, Francesco, Fayzullaev, Nodirjon, Felau, Ina, Fereday, Sian, Ferguson, Martin L, Ferretti, Vincent, Field, Matthew A, Finocchiaro, Gaetano, Fisher, Cyril, Fittall, Matthew W, Fitzgerald, Anna, Fitzgerald, Rebecca C, Flanagan, Adrienne M, Fleshner, Neil E, Flicek, Paul, Foekens, John A, Fong, Kwun M, Foster, Christopher S, Fraser, Michael, Frazer, Scott, Frenkel-Morgenstern, Milana, Friedman, William, Fronick, Catrina C, Fujimoto, Akihiro, Fujita, Masashi, Fukayama, Masashi, Fulton, Lucinda A, Fulton, Robert S, Furuta, Mayuko, Futreal, P Andrew, Füllgrabe, Anja, Gabriel, Stacey B, Gallinger, Steven, Gao, Jianjiong, Gao, Shengjie, Garraway, Levi, Garred, Øystein, Garrison, Erik, Gehlenborg, Nils, Gelpi, Josep LL, George, Joshy, Gerhard, Daniela S, Gerhauser, Clarissa, Gershenwald, Jeffrey E, Gerstung, Moritz, Ghori, Mohammed, Ghossein, Ronald, Giama, Nasra H, Gibbs, Richard A, Gibson, Bob, Gill, Anthony J, Gill, Pelvender, Giri, Dilip D, Glodzik, Dominik, Gnanapragasam, Vincent J, Goebler, Maria Elisabeth, Goldman, Mary J, Gomez, Carmen, Gonzalez, Santiago, Gordenin, Dmitry A, Gossage, James, Gotoh, Kunihito, Govindan, Ramaswamy, Grabau, Dorthe, Graham, Janet S, Grant, Robert C, Green, Anthony R, Green, Eric, Greger, Liliana, Grehan, Nicola, Grimaldi, Sonia, Grimmond, Sean M, Grossman, Robert L, Grundhoff, Adam, Gundem, Gunes, Gupta, Manaswi, Gupta, Shailja, Gut, Marta, Göke, Jonathan, Ha, Gavin, Haake, Andrea, Haas, Siegfried, Haase, Kerstin, Haber, James E, Habermann, Nina, Hach, Faraz, Haider, Syed, Hama, Natsuko, Hamdy, Freddie C, Hamilton, Anne, Han, Leng, Hanna, George B, Hansmann, Martin, Harismendy, Olivier, Harliwong, Ivon, Harrington, Eoghan, Hasegawa, Takanori, Haussler, David, Hawkins, Steve, Hayami, Shinya, Hayashi, Shuto, Hayes, D Neil, Hayes, Stephen J, Hayward, Nicholas K, Hazell, Steven, He, Yao, Heath, Allison P, Heath, Simon C, Hedley, David, Hegde, Apurva M, Heiman, David I, Heinold, Michael C, Heins, Zachary, Heisler, Lawrence E, Hellstrom-Lindberg, Eva, Heo, Seong Gu, Hepperla, Austin J, Heredia-Genestar, José María, Hersey, Peter, Hilmarsdottir, Holmfridur, Hinton, Jonathan, Hirano, Satoshi, Hiraoka, Nobuyoshi, Hoadley, Katherine A, Hoell, Jessica I, Hoffmann, Steve, Hofmann, Oliver, Holbrook, Andrea, Holik, Aliaksei Z, Hollingsworth, Michael A, Holmes, Oliver, Holt, Robert A, Hong, Eun Pyo, Hong, Jongwhi H, Hooijer, Gerrit K, Hosoda, Fumie, Hou, Yong, Hovestadt, Volker, Howat, William, Hoyle, Alan P, Hruban, Ralph H, Hu, Jianhong, Hu, Taobo, Hua, Xing, Huang, Kuan-lin, Huang, Mei, Huang, Mi Ni, Huang, Vincent, Huang, Yi, Huber, Wolfgang, Hudson, Thomas J, Hummel, Michael, Hung, Jillian A, Huntsman, David, 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Qian, Xiao, Xiao, Xing, Rui, Xiong, Heng, Xu, Qinying, Xu, Yanxun, Xue, Hong, Yachida, Shinichi, Yakneen, Sergei, Yamaguchi, Rui, Yamaguchi, Takafumi N, Yamamoto, Masakazu, Yamamoto, Shogo, Yamaue, Hiroki, Yang, Fan, Yang, Huanming, Yang, Jean Y, Yang, Liming, Yang, Lixing, Yang, Shanlin, Yang, Tsun-Po, Yang, Yang, Yao, Xiaotong, Yaspo, Marie-Laure, Yates, Lucy, Yau, Christina, Ye, Chen, Ye, Kai, Yellapantula, Venkata D, Yoon, Christopher J, Yoon, Sung-Soo, Yousif, Fouad, Yu, Kaixian, Yu, Willie, Yu, Yingyan, Yuan, Ke, Yuan, Yuan, Yuen, Denis, Yung, Christina K, Zaikova, Olga, Zamora, Jorge, Zapatka, Marc, Zenklusen, Jean C, Zenz, Thorsten, Zeps, Nikolajs, Zhang, Cheng-Zhong, Zhang, Fan, Zhang, Hailei, Zhang, Hongwei, Zhang, Hongxin, Zhang, Jiashan, Zhang, Junjun, Zhang, Xiuqing, Zhang, Zemin, Zheng, Liangtao, Zheng, Xiuqing, Zhou, Wanding, Zhou, Yong, Zhu, Bin, Zhu, Hongtu, Zhu, Jingchun, Zhu, Shida, Zou, Xueqing, deFazio, Anna, van As, Nicholas, van Deurzen, Carolien HM, van de Vijver, Marc J, and Veer, L van’t
Subjects: Human Biology & Physiology, Ecology,Evolution & Ethology, Tumour Biology, Genetics & Genomics, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: Multi-omics datasets represent distinct aspects of the central dogma of molecular biology. Such high-dimensional molecular profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple datasets using statistical data fusion, rationalizes contributing evidence and highlights associated genes. As part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we integrated genes with coding and non-coding mutations and revealed frequently mutated pathways and additional cancer genes with infrequent mutations. We also analyzed prognostic molecular pathways by integrating genomic and transcriptomic features of 1780 breast cancers and highlighted associations with immune response and anti-apoptotic signaling. Integration of ChIP-seq and RNA-seq data for master regulators of the Hippo pathway across normal human tissues identified processes of tissue regeneration and stem cell regulation. ActivePathways is a versatile method that improves systems-level understanding of cellular organization in health and disease through integration of multiple molecular datasets and pathway annotations.
Published: 2023
Full Text: View/download PDF

34. Pathway and network analysis of more than 2500 whole cancer genomes

Author: Reyna, Matthew A, Haan, David, Paczkowska, Marta, Verbeke, Lieven PC, Vazquez, Miguel, Kahraman, Abdullah, Pulido-Tamayo, Sergio, Barenboim, Jonathan, Wadi, Lina, Dhingra, Priyanka, Shrestha, Raunak, Getz, Gad, Lawrence, Michael S, Pedersen, Jakob Skou, Rubin, Mark A, Wheeler, David A, Brunak, Søren, Izarzugaza, Jose MG, Khurana, Ekta, Marchal, Kathleen, von Mering, Christian, Sahinalp, S Cenk, Valencia, Alfonso, Abascal, Federico, Amin, Samirkumar B, Bader, Gary D, Bandopadhayay, Pratiti, Beroukhim, Rameen, Bertl, Johanna, Boroevich, Keith A, Busanovich, John, Campbell, Peter J, Carlevaro-Fita, Joana, Chakravarty, Dimple, Chan, Calvin Wing Yiu, Chen, Ken, Choi, Jung Kyoon, Deu-Pons, Jordi, Diamanti, Klev, Feuerbach, Lars, Fink, J Lynn, Fonseca, Nuno A, Frigola, Joan, Gambacorti-Passerini, Carlo, Garsed, Dale W, Gerstein, Mark, Guo, Qianyun, Gut, Ivo G, Hamilton, Mark P, Haradhvala, Nicholas J, Harmanci, Arif O, Helmy, Mohamed, Herrmann, Carl, Hess, Julian M, Hobolth, Asger, Hodzic, Ermin, Hong, Chen, Hornshøj, Henrik, Isaev, Keren, Johnson, Rory, Johnson, Todd A, Juul, Malene, Juul, Randi Istrup, Kahles, Andre, Kellis, Manolis, Kim, Jaegil, Kim, Jong K, Kim, Youngwook, Komorowski, Jan, Korbel, Jan O, Kumar, Sushant, Lanzós, Andrés, Larsson, Erik, Lee, Donghoon, Lehmann, Kjong-Van, Li, Shantao, Li, Xiaotong, Lin, Ziao, Liu, Eric Minwei, Lochovsky, Lucas, Lou, Shaoke, Madsen, Tobias, Martincorena, Iñigo, Martinez-Fundichely, Alexander, Maruvka, Yosef E, McGillivray, Patrick D, Meyerson, William, Muiños, Ferran, Mularoni, Loris, Nakagawa, Hidewaki, Nielsen, Morten Muhlig, Park, Keunchil, Park, Kiejung, Pons, Tirso, Reyes-Salazar, Iker, Rheinbay, Esther, Rubio-Perez, Carlota, Saksena, Gordon, Salichos, Leonidas, Sander, Chris, Schumacher, Steven E, Shackleton, Mark, Shapira, Ofer, Shen, Ciyue, Shuai, Shimin, Sidiropoulos, Nikos, Sieverling, Lina, Sinnott-Armstrong, Nasa, Stein, Lincoln D, Tamborero, David, Tiao, Grace, Tsunoda, Tatsuhiko, Umer, Husen M, 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Subjects: Human Biology & Physiology, Ecology,Evolution & Ethology, Tumour Biology, Genetics & Genomics, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: The catalog of cancer driver mutations in protein-coding genes has greatly expanded in the past decade. However, non-coding cancer driver mutations are less well-characterized and only a handful of recurrent non-coding mutations, most notably TERT promoter mutations, have been reported. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancer across 38 tumor types, we perform multi-faceted pathway and network analyses of non-coding mutations across 2583 whole cancer genomes from 27 tumor types compiled by the ICGC/TCGA PCAWG project that was motivated by the success of pathway and network analyses in prioritizing rare mutations in protein-coding genes. While few non-coding genomic elements are recurrently mutated in this cohort, we identify 93 genes harboring non-coding mutations that cluster into several modules of interacting proteins. Among these are promoter mutations associated with reduced mRNA expression in TP53, TLE4, and TCF4. We find that biological processes had variable proportions of coding and non-coding mutations, with chromatin remodeling and proliferation pathways altered primarily by coding mutations, while developmental pathways, including Wnt and Notch, altered by both coding and non-coding mutations. RNA splicing is primarily altered by non-coding mutations in this cohort, and samples containing non-coding mutations in well-known RNA splicing factors exhibit similar gene expression signatures as samples with coding mutations in these genes. These analyses contribute a new repertoire of possible cancer genes and mechanisms that are altered by non-coding mutations and offer insights into additional cancer vulnerabilities that can be investigated for potential therapeutic treatments.
Published: 2023
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35. Divergent mutational processes distinguish hypoxic and normoxic tumours

Author: Bhandari, Vinayak, Li, Constance H, Bristow, Robert G, Boutros, Paul C, Aaltonen, Lauri A, Abascal, Federico, Abeshouse, Adam, Aburatani, Hiroyuki, Adams, David J, Agrawal, Nishant, Ahn, Keun Soo, Ahn, Sung-Min, Aikata, Hiroshi, Akbani, Rehan, Akdemir, Kadir C, Al-Ahmadie, Hikmat, Al-Sedairy, Sultan T, Al-Shahrour, Fatima, Alawi, Malik, Albert, Monique, Aldape, Kenneth, Alexandrov, Ludmil B, Ally, Adrian, Alsop, Kathryn, Alvarez, Eva G, Amary, Fernanda, Amin, Samirkumar B, Aminou, Brice, Ammerpohl, Ole, Anderson, Matthew J, Ang, Yeng, Antonello, Davide, Anur, Pavana, Aparicio, Samuel, Appelbaum, Elizabeth L, Arai, Yasuhito, Aretz, Axel, Arihiro, Koji, Ariizumi, Shun-ichi, Armenia, Joshua, Arnould, Laurent, Asa, Sylvia, Assenov, Yassen, Atwal, Gurnit, Aukema, Sietse, Auman, J Todd, Aure, Miriam RR, Awadalla, Philip, Aymerich, Marta, Bader, Gary D, Baez-Ortega, Adrian, Bailey, Matthew H, Bailey, Peter J, Balasundaram, Miruna, Balu, Saianand, Bandopadhayay, Pratiti, Banks, Rosamonde E, Barbi, Stefano, Barbour, Andrew P, Barenboim, Jonathan, Barnholtz-Sloan, Jill, Barr, Hugh, Barrera, Elisabet, Bartlett, John, Bartolome, Javier, Bassi, Claudio, Bathe, Oliver F, Baumhoer, Daniel, Bavi, Prashant, Baylin, Stephen B, Bazant, Wojciech, Beardsmore, Duncan, Beck, Timothy A, Behjati, Sam, Behren, Andreas, Niu, Beifang, Bell, Cindy, Beltran, Sergi, Benz, Christopher, Berchuck, Andrew, Bergmann, Anke K, Bergstrom, Erik N, Berman, Benjamin P, Berney, Daniel M, Bernhart, Stephan H, Beroukhim, Rameen, Berrios, Mario, Bersani, Samantha, Bertl, Johanna, Betancourt, Miguel, Bhosle, Shriram G, Biankin, Andrew V, Bieg, Matthias, Bigner, Darell, Binder, Hans, Birney, Ewan, Birrer, Michael, Biswas, Nidhan K, Bjerkehagen, Bodil, Bodenheimer, Tom, Boice, Lori, Bonizzato, Giada, De Bono, Johann S, Boot, Arnoud, Bootwalla, Moiz S, Borg, Ake, Borkhardt, Arndt, Boroevich, Keith A, Borozan, Ivan, Borst, Christoph, Bosenberg, Marcus, Bosio, Mattia, Boultwood, Jacqueline, Bourque, Guillaume, Bova, G Steven, Bowen, David T, Bowlby, Reanne, Bowtell, David DL, Boyault, Sandrine, Boyce, Rich, Boyd, Jeffrey, Brazma, Alvis, Brennan, Paul, Brewer, Daniel S, Brinkman, Arie B, Broaddus, Russell R, Brock, Jane E, Brock, Malcolm, Broeks, Annegien, Brooks, Angela N, Brooks, Denise, Brors, Benedikt, Brunak, Søren, Bruxner, Timothy JC, Bruzos, Alicia L, Buchanan, Alex, Buchhalter, Ivo, Buchholz, Christiane, Bullman, Susan, Burke, Hazel, Burkhardt, Birgit, Burns, Kathleen H, Busanovich, John, Bustamante, Carlos D, Butler, Adam P, Butte, Atul J, Byrne, Niall J, Børresen-Dale, Anne-Lise, Caesar-Johnson, Samantha J, Cafferkey, Andy, Cahill, Declan, Calabrese, Claudia, Caldas, Carlos, Calvo, Fabien, Camacho, Niedzica, Campbell, Peter J, Campo, Elias, Cantù, Cinzia, Cao, Shaolong, Carey, Thomas E, Carlevaro-Fita, Joana, Carlsen, Rebecca, Cataldo, Ivana, Cazzola, Mario, Cebon, Jonathan, Cerfolio, Robert, Chadwick, Dianne E, Chakravarty, Dimple, Chalmers, Don, Chan, Calvin Wing Yiu, Chan, Kin, Chan-Seng-Yue, Michelle, Chandan, Vishal S, Chang, David K, Chanock, Stephen J, Chantrill, Lorraine A, Chateigner, Aurélien, Chatterjee, Nilanjan, Chayama, Kazuaki, Chen, Hsiao-Wei, Chen, Jieming, Chen, Ken, Chen, Yiwen, Chen, Zhaohong, Cherniack, Andrew D, Chien, Jeremy, Chiew, Yoke-Eng, Chin, Suet-Feung, Cho, Juok, Cho, Sunghoon, Choi, Jung Kyoon, Choi, Wan, Chomienne, Christine, Chong, Zechen, Choo, Su Pin, Chou, Angela, Christ, Angelika N, Christie, Elizabeth L, Chuah, Eric, Cibulskis, Carrie, Cibulskis, Kristian, Cingarlini, Sara, Clapham, Peter, Claviez, Alexander, Cleary, Sean, Cloonan, Nicole, Cmero, Marek, Collins, Colin C, Connor, Ashton A, Cooke, Susanna L, Cooper, Colin S, Cope, Leslie, Corbo, Vincenzo, Cordes, Matthew G, Cordner, Stephen M, Cortés-Ciriano, Isidro, Covington, Kyle, Cowin, Prue A, Craft, Brian, Craft, David, Creighton, Chad J, Cun, Yupeng, Curley, Erin, Cutcutache, Ioana, Czajka, Karolina, Czerniak, Bogdan, Dagg, Rebecca A, Danilova, Ludmila, Davi, Maria Vittoria, Davidson, Natalie R, Davies, Helen, Davis, Ian J, Davis-Dusenbery, Brandi N, Dawson, Kevin J, De La Vega, Francisco M, De Paoli-Iseppi, Ricardo, Defreitas, Timothy, Dei Tos, Angelo P, Delaneau, Olivier, Demchok, John A, Demeulemeester, Jonas, Demidov, German M, Demircioğlu, Deniz, Dennis, Nening M, Denroche, Robert E, Dentro, Stefan C, Desai, Nikita, Deshpande, Vikram, Deshwar, Amit G, Desmedt, Christine, Deu-Pons, Jordi, Dhalla, Noreen, Dhani, Neesha C, Dhingra, Priyanka, Dhir, Rajiv, DiBiase, Anthony, Diamanti, Klev, Ding, Li, Ding, Shuai, Dinh, Huy Q, Dirix, Luc, Doddapaneni, HarshaVardhan, Donmez, Nilgun, Dow, Michelle T, Drapkin, Ronny, Drechsel, Oliver, Drews, Ruben M, Serge, Serge, Dudderidge, Tim, Dueso-Barroso, Ana, Dunford, Andrew J, Dunn, Michael, Dursi, Lewis Jonathan, Duthie, Fraser R, Dutton-Regester, Ken, Eagles, Jenna, Easton, Douglas F, Edmonds, Stuart, Edwards, Paul A, Edwards, Sandra E, Eeles, Rosalind A, Ehinger, Anna, Eils, Juergen, Eils, Roland, El-Naggar, Adel, Eldridge, Matthew, Ellrott, Kyle, Erkek, Serap, Escaramis, Georgia, Espiritu, Shadrielle MG, Estivill, Xavier, Etemadmoghadam, Dariush, Eyfjord, Jorunn E, Faltas, Bishoy M, Fan, Daiming, Fan, Yu, Faquin, William C, Farcas, Claudiu, Fassan, Matteo, Fatima, Aquila, Favero, Francesco, Fayzullaev, Nodirjon, Felau, Ina, Fereday, Sian, Ferguson, Martin L, Ferretti, Vincent, Feuerbach, Lars, Field, Matthew A, Fink, J Lynn, Finocchiaro, Gaetano, Fisher, Cyril, Fittall, Matthew W, Fitzgerald, Anna, Fitzgerald, Rebecca C, Flanagan, Adrienne M, Fleshner, Neil E, Flicek, Paul, Foekens, John A, Fong, Kwun M, Fonseca, Nuno A, Foster, Christopher S, Fox, Natalie S, Fraser, Michael, Frazer, Scott, Frenkel-Morgenstern, Milana, Friedman, William, Frigola, Joan, Fronick, Catrina C, Fujimoto, Akihiro, Fujita, Masashi, Fukayama, Masashi, Fulton, Lucinda A, Fulton, Robert S, Furuta, Mayuko, Futreal, P Andrew, Füllgrabe, Anja, Gabriel, Stacey B, Gallinger, Steven, Gambacorti-Passerini, Carlo, Gao, Jianjiong, Gao, Shengjie, Garraway, Levi, Garred, Øystein, Garrison, Erik, Garsed, Dale W, Gehlenborg, Nils, Gelpi, Josep LL, George, Joshy, Gerhard, Daniela S, Gerhauser, Clarissa, Gershenwald, Jeffrey E, Gerstein, Mark, Gerstung, Moritz, Getz, Gad, Ghori, Mohammed, Ghossein, Ronald, Giama, Nasra H, Gibbs, Richard A, Gibson, Bob, Gill, Anthony J, Gill, Pelvender, Giri, Dilip D, Glodzik, Dominik, Gnanapragasam, Vincent J, Goebler, Maria Elisabeth, Goldman, Mary J, Gomez, Carmen, Gonzalez, Santiago, Gonzalez-Perez, Abel, Gordenin, Dmitry A, Gossage, James, Gotoh, Kunihito, Govindan, Ramaswamy, Grabau, Dorthe, Graham, Janet S, Grant, Robert C, Green, Anthony R, Green, Eric, Greger, Liliana, Grehan, Nicola, Grimaldi, Sonia, Grimmond, Sean M, Grossman, Robert L, Grundhoff, Adam, Gundem, Gunes, Guo, Qianyun, Gupta, Manaswi, Gupta, Shailja, Gut, Ivo G, Gut, Marta, Göke, Jonathan, Ha, Gavin, Haake, Andrea, Haan, David, Haas, Siegfried, Haase, Kerstin, Haber, 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R, Stretch, Jonathan R, Struck, Adam J, Stuart, Joshua M, Stunnenberg, Henk G, Su, Hong, Su, Xiaoping, Sun, Ren X, Sungalee, Stephanie, Susak, Hana, Suzuki, Akihiro, Sweep, Fred, Szczepanowski, Monika, Sültmann, Holger, Yugawa, Takashi, Tam, Angela, Tamborero, David, Tan, Benita Kiat Tee, Tan, Donghui, Tan, Patrick, Tanaka, Hiroko, Taniguchi, Hirokazu, Tanskanen, Tomas J, Tarabichi, Maxime, Tarnuzzer, Roy, Tarpey, Patrick, Taschuk, Morgan L, Tatsuno, Kenji, Tavaré, Simon, Taylor, Darrin F, Taylor-Weiner, Amaro, Teague, Jon W, Teh, Bin Tean, Tembe, Varsha, Temes, Javier, Thai, Kevin, Thayer, Sarah P, Thiessen, Nina, Thomas, Gilles, Thomas, Sarah, Thompson, Alan, Thompson, Alastair M, Thompson, John FF, Thompson, R Houston, Thorne, Heather, Thorne, Leigh B, Thorogood, Adrian, Tiao, Grace, Tijanic, Nebojsa, Timms, Lee E, Tirabosco, Roberto, Tojo, Marta, Tommasi, Stefania, Toon, Christopher W, Toprak, Umut H, Torrents, David, Tortora, Giampaolo, Tost, Jörg, Totoki, Yasushi, Townend, David, Traficante, Nadia, Treilleux, Isabelle, Trotta, Jean-Rémi, Trümper, Lorenz HP, Tsao, Ming, Tsunoda, Tatsuhiko, MC Tubio, Jose, Tucker, Olga, Turkington, Richard, Turner, Daniel J, Tutt, Andrew, Ueno, Masaki, Ueno, Naoto T, Umbricht, Christopher, Umer, Husen M, Underwood, Timothy J, Urban, Lara, Urushidate, Tomoko, Ushiku, Tetsuo, Uusküla-Reimand, Liis, Valencia, Alfonso, Van Den Berg, David J, Van Laere, Steven, Van Loo, Peter, Van Meir, Erwin G, Van den Eynden, Gert G, Van der Kwast, Theodorus, Vasudev, Naveen, Vazquez, Miguel, Vedururu, Ravikiran, Veluvolu, Umadevi, Vembu, Shankar, Verbeke, Lieven PC, Vermeulen, Peter, Verrill, Clare, Viari, Alain, Vicente, David, Vicentini, Caterina, VijayRaghavan, K, Viksna, Juris, Vilain, Ricardo E, Villasante, Izar, Vincent-Salomon, Anne, Visakorpi, Tapio, Voet, Douglas, Vyas, Paresh, Vázquez-García, Ignacio, Waddell, Nick M, Waddell, Nicola, Wadelius, Claes, Wadi, Lina, Wagener, Rabea, Wala, Jeremiah A, Wang, Jian, Wang, Jiayin, Wang, Linghua, Wang, Qi, Wang, Wenyi, Wang, Yumeng, Wang, Zhining, Waring, Paul M, Warnatz, Hans-Jörg, Warrell, Jonathan, Warren, Anne Y, Waszak, Sebastian M, Wedge, David C, Weichenhan, Dieter, Weinberger, Paul, Weinstein, John N, Weischenfeldt, Joachim, Weisenberger, Daniel J, Welch, Ian, Wendl, Michael C, Werner, Johannes, Whalley, Justin P, Wheeler, David A, Whitaker, Hayley C, Wigle, Dennis, Wilkerson, Matthew D, Williams, Ashley, Wilmott, James S, Wilson, Gavin W, Wilson, Julie M, Wilson, Richard K, Winterhoff, Boris, Wintersinger, Jeffrey A, Wiznerowicz, Maciej, Wolf, Stephan, Wong, Bernice H, Wong, Tina, Wong, Winghing, Woo, Youngchoon, Wood, Scott, Wouters, Bradly G, Wright, Adam J, Wright, Derek W, Wright, Mark H, Wu, Chin-Lee, Wu, Dai-Ying, Wu, Guanming, Wu, Jianmin, Wu, Kui, Wu, Yang, Wu, Zhenggang, Xi, Liu, Xia, Tian, Xiang, Qian, Xiao, Xiao, Xing, Rui, Xiong, Heng, Xu, Qinying, Xu, Yanxun, Xue, Hong, Yachida, Shinichi, Yakneen, Sergei, Yamaguchi, Rui, Yamaguchi, Takafumi N, Yamamoto, Masakazu, Yamamoto, Shogo, Yamaue, Hiroki, Yang, Fan, Yang, Huanming, Yang, Jean Y, Yang, Liming, Yang, Lixing, Yang, Shanlin, Yang, Tsun-Po, Yang, Yang, Yao, Xiaotong, Yaspo, Marie-Laure, Yates, Lucy, Yau, Christina, Ye, Chen, Ye, Kai, Yellapantula, Venkata D, Yoon, Christopher J, Yoon, Sung-Soo, Yousif, Fouad, Yu, Jun, Yu, Kaixian, Yu, Willie, Yu, Yingyan, Yuan, Ke, Yuan, Yuan, Yuen, Denis, Yung, Christina K, Zaikova, Olga, Zamora, Jorge, Zapatka, Marc, Zenklusen, Jean C, Zenz, Thorsten, Zeps, Nikolajs, Zhang, Cheng-Zhong, Zhang, Fan, Zhang, Hailei, Zhang, Hongwei, Zhang, Hongxin, Zhang, Jiashan, Zhang, Jing, Zhang, Junjun, Zhang, Xiuqing, Zhang, Xuanping, Zhang, Yan, Zhang, Zemin, Zhao, Zhongming, Zheng, Liangtao, Zheng, Xiuqing, Zhou, Wanding, Zhou, Yong, Zhu, Bin, Zhu, Hongtu, Zhu, Jingchun, Zhu, Shida, Zou, Lihua, Zou, Xueqing, deFazio, Anna, van As, Nicholas, van Deurzen, Carolien HM, van de Vijver, Marc J, Veer, L van’t, and von Mering, Christian
Subjects: Human Biology & Physiology, Ecology,Evolution & Ethology, Tumour Biology, Genetics & Genomics, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: Many primary tumours have low levels of molecular oxygen (hypoxia), and hypoxic tumours respond poorly to therapy. Pan-cancer molecular hallmarks of tumour hypoxia remain poorly understood, with limited comprehension of its associations with specific mutational processes, non-coding driver genes and evolutionary features. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we quantify hypoxia in 1188 tumours spanning 27 cancer types. Elevated hypoxia associates with increased mutational load across cancer types, irrespective of underlying mutational class. The proportion of mutations attributed to several mutational signatures of unknown aetiology directly associates with the level of hypoxia, suggesting underlying mutational processes for these signatures. At the gene level, driver mutations in TP53, MYC and PTEN are enriched in hypoxic tumours, and mutations in PTEN interact with hypoxia to direct tumour evolutionary trajectories. Overall, hypoxia plays a critical role in shaping the genomic and evolutionary landscapes of cancer.
Published: 2023
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36. Modelled mortality benefits of multi-cancer early detection screening in England

Author: Peter Sasieni, Rebecca Smittenaar, Earl Hubbell, John Broggio, Richard D. Neal, and Charles Swanton
Subjects: Chemical Biology & High Throughput, Cancer Research, Signalling & Oncogenes, Human Biology & Physiology, Oncology, Ecology,Evolution & Ethology, Genome Integrity & Repair, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract: Background Screening programmes utilising blood-based multi-cancer early detection (MCED) tests, which can detect a shared cancer signal from any site in the body with a single, low false-positive rate, could reduce cancer burden through early diagnosis. Methods A natural history (‘interception’) model of cancer was previously used to characterise potential benefits of MCED screening (based on published performance of an MCED test). We built upon this using a two-population survival model to account for an increased risk of death from cfDNA-detectable cancers relative to cfDNA-non-detectable cancers. We developed another model allowing some cancers to metastasise directly from stage I, bypassing intermediate tumour stages. We used incidence and survival-by-stage data from the National Cancer Registration and Analysis Service in England to estimate longer-term benefits to a cohort screened between ages 50–79 years. Results Estimated late-stage and mortality reductions were robust to a range of assumptions. With the least favourable dwell (sojourn) time and cfDNA status hazard ratio assumptions, we estimated, among 100,000 screened individuals, 67 (17%) fewer cancer deaths per year corresponding to 2029 fewer deaths in those screened between ages 50–79 years. Conclusion Realising the potential benefits of MCED tests could substantially reduce late-stage cancer diagnoses and mortality.
Published: 2023
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37. Age differences in comorbidities, presenting symptoms, and outcomes of influenza illness requiring hospitalization: A worldwide perspective from the global influenza hospital surveillance network

Author: Andrew, Melissa K, Pott, Henrique, Staadegaard, Lisa, Paget, John, Chaves, Sandra S, Ortiz, Justin R, McCauley, John, Bresee, Joseph, Nunes, Marta C, Baumeister, Elsa, Raboni, Sonia Mara, Giamberardino, Heloisa IG, McNeil, Shelly A, Gomez, Doris, Zhang, Tao, Vanhems, Philippe, Koul, Parvaiz A, Coulibaly, Daouda, Otieno, Nancy A, Dbaibo, Ghassan, Almeida, Maria Lourdes Guerrero, Laguna-Torres, Victor Alberto, Drăgănescu, Anca Cristina, Burtseva, Elena, Sominina, Anna, Danilenko, Daria, Medić, Snežana, Diez-Domingo, Javier, Lina, Bruno, and Investigators, on behalf of GIHSN
Subjects: Ecology,Evolution & Ethology, Infectious Disease
Abstract: Background. The Global Influenza Hospital Surveillance Network (GIHSN) was established in 2012 to conduct coordinated worldwide influenza surveillance. In this study, we describe underlying comorbidities, symptoms, and outcomes in patients hospitalized with influenza. Methods. Between November 2018 and October 2019, GIHSN included 19 sites in 18 countries using a standardized surveillance protocol. Influenza infection was laboratory-confirmed with reverse-transcription polymerase chain reaction. A multivariate logistic regression model was utilized to analyze the extent to which various risk factors predict severe outcomes. Results. Of 16 022 enrolled patients, 21.9% had laboratory-confirmed influenza; 49.2% of influenza cases were A/ H1N1pdm09. Fever and cough were the most common symptoms, although they decreased with age (P < .001). Shortness of breath was uncommon among those
Published: 2023
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38. An ERK1/2-driven RNA-binding switch in nucleolin drives ribosome biogenesis and pancreatic tumorigenesis downstream of RAS oncogene

Author: Muhammad S Azman, Emilie L Alard, Martin Dodel, Federica Capraro, Rupert Faraway, Maria Dermit, Wanling Fan, Alina Chakraborty, Jernej Ule, and Faraz K Mardakheh
Subjects: General Immunology and Microbiology, Ecology,Evolution & Ethology, General Neuroscience, FOS: Clinical medicine, Stem Cells, Neurosciences, Gene Expression, Biochemistry & Proteomics, Molecular Biology, Genetics & Genomics, General Biochemistry, Genetics and Molecular Biology, Computational & Systems Biology
Abstract: Oncogenic RAS signaling reprograms gene expression through both transcriptional and post-transcriptional mechanisms. While transcriptional regulation downstream of RAS is relatively well characterized, how RAS post-transcriptionally modulates gene expression to promote malignancy remains largely unclear. Using quantitative RNA interactome capture analysis, we here reveal that oncogenic RAS signaling reshapes the RNA-bound proteomic landscape of pancreatic cancer cells, with a network of nuclear proteins centered around nucleolin displaying enhanced RNA-binding activity. We show that nucleolin is phosphorylated downstream of RAS, which increases its binding to pre-ribosomal RNA (rRNA), boosts rRNA production, and promotes ribosome biogenesis. This nucleolin-dependent enhancement of ribosome biogenesis is crucial for RAS-induced pancreatic cancer cell proliferation and can be targeted therapeutically to inhibit tumor growth. Our results reveal that oncogenic RAS signaling drives ribosome biogenesis by regulating the RNA-binding activity of nucleolin and highlight a crucial role for this mechanism in RAS-mediated tumorigenesis.
Published: 2023
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39. Ancient human DNA recovered from a Palaeolithic pendant

Author: Elena Essel, Elena I. Zavala, Ellen Schulz-Kornas, Maxim B. Kozlikin, Helen Fewlass, Benjamin Vernot, Michael V. Shunkov, Anatoly P. Derevianko, Katerina Douka, Ian Barnes, Marie-Cécile Soulier, Anna Schmidt, Merlin Szymanski, Tsenka Tsanova, Nikolay Sirakov, Elena Endarova, Shannon P. McPherron, Jean-Jacques Hublin, Janet Kelso, Svante Pääbo, Mateja Hajdinjak, Marie Soressi, and Matthias Meyer
Subjects: Multidisciplinary, Ecology,Evolution & Ethology, Infectious Disease, Genetics & Genomics
Abstract: Artefacts made from stones, bones and teeth are fundamental to our understanding of human subsistence strategies, behaviour and culture in the Pleistocene. Although these resources are plentiful, it is impossible to associate artefacts to specific human individuals1 who can be morphologically or genetically characterized, unless they are found within burials, which are rare in this time period. Thus, our ability to discern the societal roles of Pleistocene individuals based on their biological sex or genetic ancestry is limited2–5. Here we report the development of a non-destructive method for the gradual release of DNA trapped in ancient bone and tooth artefacts. Application of the method to an Upper Palaeolithic deer tooth pendant from Denisova Cave, Russia, resulted in the recovery of ancient human and deer mitochondrial genomes, which allowed us to estimate the age of the pendant at approximately 19,000–25,000 years. Nuclear DNA analysis identifies the presumed maker or wearer of the pendant as a female individual with strong genetic affinities to a group of Ancient North Eurasian individuals who lived around the same time but were previously found only further east in Siberia. Our work redefines how cultural and genetic records can be linked in prehistoric archaeology.
Published: 2023

40. Utility of polygenic risk scores in UK cancer screening: a modelling analysis

Author: Huntley, Catherine, Torr, Bethany, Sud, Amit, Rowlands, Charlie F, Way, Rosalind, Snape, Katie, Hanson, Helen, Swanton, Charles, Broggio, John, Lucassen, Anneke, McCartney, Margaret, Houlston, Richard S, Hingorani, Aroon D, Jones, Michael E, Turnbull, Clare, University of St Andrews. School of Medicine, and University of St Andrews. Population and Behavioural Science Division
Subjects: Chemical Biology & High Throughput, Signalling & Oncogenes, Human Biology & Physiology, SDG 3 - Good Health and Well-being, Oncology, Ecology,Evolution & Ethology, MCP, Genome Integrity & Repair, DAS, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract: This work was funded by a Wellcome Trust Clinical Research Fellowship. CH is supported by a Wellcome Trust Clinical Research Training Fellowship (203924/Z/16/Z). RSH acknowledges grant support from Cancer Research UK (C1298/A8362) and the Wellcome Trust (214388). AS is in receipt of a National Institute for Health Research (NIHR) Academic Clinical Lectureship, funding from the Royal Marsden Biomedical Research Centre, and is recipient of the Whitney-Wood Scholarship from the Royal College of Physicians. CT, CFR, HH, KS, RW, and BT acknowledge grant support from Cancer Research UK (C8620/A8372). MEJ receives funding from Breast Cancer Now. It is proposed that, through restriction to individuals delineated as high risk, polygenic risk scores (PRSs) might enable more efficient targeting of existing cancer screening programmes and enable extension into new age ranges and disease types. To address this proposition, we present an overview of the performance of PRS tools (ie, models and sets of single nucleotide polymorphisms) alongside harms and benefits of PRS-stratified cancer screening for eight example cancers (breast, prostate, colorectal, pancreas, ovary, kidney, lung, and testicular cancer). For this modelling analysis, we used age-stratified cancer incidences for the UK population from the National Cancer Registration Dataset (2016-18) and published estimates of the area under the receiver operating characteristic curve for current, future, and optimised PRS for each of the eight cancer types. For each of five PRS-defined high-risk quantiles (ie, the top 50%, 20%, 10%, 5%, and 1%) and according to each of the three PRS tools (ie, current, future, and optimised) for the eight cancers, we calculated the relative proportion of cancers arising, the odds ratios of a cancer arising compared with the UK population average, and the lifetime cancer risk. We examined maximal attainable rates of cancer detection by age stratum from combining PRS-based stratification with cancer screening tools and modelled the maximal impact on cancer-specific survival of hypothetical new UK programmes of PRS-stratified screening. The PRS-defined high-risk quintile (20%) of the population was estimated to capture 37% of breast cancer cases, 46% of prostate cancer cases, 34% of colorectal cancer cases, 29% of pancreatic cancer cases, 26% of ovarian cancer cases, 22% of renal cancer cases, 26% of lung cancer cases, and 47% of testicular cancer cases. Extending UK screening programmes to a PRS-defined high-risk quintile including people aged 40-49 years for breast cancer, 50-59 years for colorectal cancer, and 60-69 years for prostate cancer has the potential to avert, respectively, a maximum of 102, 188, and 158 deaths annually. Unstratified screening of the full population aged 48-49 years for breast cancer, 58-59 years for colorectal cancer, and 68-69 years for prostate cancer would use equivalent resources and avert, respectively, an estimated maximum of 80, 155, and 95 deaths annually. These maximal modelled numbers will be substantially attenuated by incomplete population uptake of PRS profiling and cancer screening, interval cancers, non-European ancestry, and other factors. Under favourable assumptions, our modelling suggests modest potential efficiency gain in cancer case detection and deaths averted for hypothetical new PRS-stratified screening programmes for breast, prostate, and colorectal cancer. Restriction of screening to high-risk quantiles means many or most incident cancers will arise in those assigned as being low-risk. To quantify real-world clinical impact, costs, and harms, UK-specific cluster-randomised trials are required. Publisher PDF
Published: 2023
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41. Tsetse flies (Glossina morsitans morsitans) choose birthing sites guided by substrate cues with no evidence for a role of pheromones

Author: Andrea K. Adden, Lee R. Haines, Álvaro Acosta-Serrano, and Lucia L. Prieto-Godino
Subjects: General Immunology and Microbiology, Ecology,Evolution & Ethology, FOS: Clinical medicine, Neurosciences, General Medicine, General Agricultural and Biological Sciences, Genetics & Genomics, General Biochemistry, Genetics and Molecular Biology, General Environmental Science, Imaging, Developmental Biology
Abstract: Tsetse flies significantly impact public health and economic development in sub-Saharan African countries by transmitting the fatal disease African trypanosomiasis. Unusually, instead of laying eggs, tsetse birth a single larva that immediately burrows into the soil to pupate. Where the female chooses to larviposit is, therefore, crucial for offspring survival. Previous laboratory studies suggested that a putative larval pheromone, n -pentadecane, attracts gravid female Glossina morsitans morsitans to appropriate larviposition sites. However, this attraction could not be reproduced in field experiments. Here, we resolve this disparity by designing naturalistic laboratory experiments that closely mimic the physical characteristics found in the wild. We show that gravid G. m. morsitans were neither attracted to the putative pheromone nor, interestingly, to pupae placed in the soil. By contrast, females appear to choose larviposition sites based on environmental substrate cues. We conclude that, among the many cues that likely contribute to larviposition choice in nature, substrate features are a main determinant, while we failed to find evidence for a role of pheromones.
Published: 2023
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42. Optimization of energy production and central carbon metabolism in a non-respiring eukaryote

Author: Sara Alam, Ying Gu, Polina Reichert, Jürg Bähler, and Snezhana Oliferenko
Subjects: Ecology,Evolution & Ethology, Cell Cycle & Chromosomes, Cell Biology, General Agricultural and Biological Sciences, General Biochemistry, Genetics and Molecular Biology
Abstract: SummaryMost eukaryotes respire oxygen, using it to generate biomass and energy. Yet, a few organisms lost the capacity to respire. Understanding how they manage biomass and energy production may illuminate the critical points at which respiration feeds into central carbon metabolism and explain possible routes to its optimization. Here we use two related fission yeasts,Schizosaccharomyces pombeandSchizosaccharomyces japonicus, as a comparative model system. We show that althoughS. japonicusdoes not respire oxygen, unlikeS. pombe, it is capable of efficient NADH oxidation, amino acid synthesis and ATP generation. We probe possible optimization strategies using stable isotope tracing metabolomics, mass isotopologue distribution analysis, genetics, and physiological experiments.S. japonicusappears to have optimized cytosolic NADH oxidation via glycerol-3-phosphate synthesis. It runs a fully bifurcated TCA ‘cycle’, supporting higher amino acid production. Finally, it uses the pentose phosphate pathway both to support faster biomass generation and as a shunt to optimize glycolytic flux, thus producing more ATP than the respiro-fermentingS. pombe. By comparing two related organisms with vastly different metabolic strategies, our work highlights the versatility and plasticity of central carbon metabolism in eukaryotes, illuminating critical adaptations supporting the preferential use of glycolysis over oxidative phosphorylation.
Published: 2023
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43. Imprinted anti-hemagglutinin and anti-neuraminidase antibody responses after childhood infections of A(H1N1) and A(H1N1)pdm09 influenza viruses

Author: Pavithra Daulagala, Brian R. Mann, Kathy Leung, Eric H.Y. Lau, Louise Yung, Ruipeng Lei, Sarea I.N. Nizami, Joseph T. Wu, Susan S. Chiu, Rodney S. Daniels, Nicholas Wu, David Wentworth, Malik Peiris, and Hui-Ling Yen
Subjects: Ecology,Evolution & Ethology, Virology, Infectious Disease, Microbiology
Abstract: Immune imprinting is a driver known to shape the anti-hemagglutinin (HA) antibody landscape of individuals born within the same birth cohort. With the HA and neuraminidase (NA) proteins evolving at different rates under immune selection pressures, anti-HA and anti-NA antibody responses since childhood influenza infections have not been evaluated in parallel at the individual level. This is partly due to the limited knowledge of changes in NA antigenicity, as seasonal influenza vaccines have focused on generating neutralising anti-HA antibodies against HA antigenic variants. Here we systematically characterised the NA antigenic variants of seasonal A(H1N1) viruses from 1977 to 1991 and completed the antigenic profile of N1 NAs from 1977 to 2015. We identified that NA proteins of A/USSR/90/77, A/Singapore/06/86, and A/Texas/36/91 were antigenically distinct and mapped N386K as a key determinant of the NA antigenic change from A/USSR/90/77 to A/Singapore/06/86. With comprehensive panels of HA and NA antigenic variants of A(H1N1) and A(H1N1)pdm09 viruses, we determined hemagglutinin inhibition (HI) and neuraminidase inhibition (NI) antibodies from 130 subjects born between 1950-2015. Age-dependent imprinting was observed for both anti-HA and anti-NA antibodies, with the peak HI and NI titers predominantly detected from subjects at 4-12 years old during the year of initial virus isolation, except the age-independent anti-HA antibody response against A(H1N1)pdm09 viruses. More participants possessed antibodies that reacted to multiple antigenically distinct NA proteins than those with antibodies that reacted to multiple antigenically distinct HA proteins. Our results support the need to include NA proteins in seasonal influenza vaccine preparations.IMPORTANCESeasonal influenza vaccines have aimed to generate neutralizing anti-HA antibodies for protection since licensure. More recently, anti-NA antibodies have been established as an additional correlate of protection. While HA and NA antigenic changes occurred discordantly, the anti-HA and anti-NA antibody profiles have rarely been analysed in parallel at the individual level, due to the limited knowledge on NA antigenic changes. By characterizing NA antigenic changes of A(H1N1) viruses, we determined the anti-HA and anti-NA antibody landscape against antigenically distinct A(H1N1) and A(H1N1)pdm09 viruses using sera of 130 subjects born between 1950-2015. We observed age-dependent imprinting of both anti-HA and anti-NA antibodies against strains circulated during the first decade of life. 67.7% (88/130) and 90% (117/130) of participants developed cross-reactive antibodies to multiple HA and NA antigens at titers ≥1:40. With slower NA antigenic changes and cross-reactive anti-NA antibody responses, including NA protein in influenza vaccine preparation may enhance vaccine efficacy. (150 words)
Published: 2023
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44. OptoPi: An open source flexible platform for the analysis of small animal behaviour

Author: Xavier Cano-Ferrer, Ruairí J.V. Roberts, Alice S. French, Joost de Folter, Hui Gong, Luke Nightingale, Amy Strange, Albane Imbert, and Lucia L. Prieto-Godino
Subjects: Ecology,Evolution & Ethology, FOS: Clinical medicine, Neurosciences, Microfabrication & Bioengineering, Genetics & Genomics, Imaging, Developmental Biology, Computational & Systems Biology
Abstract: Behaviour is the ultimate output of neural circuit computations, and therefore its analysis is a cornerstone of neuroscience research. However, every animal and experimental paradigm requires different illumination conditions to capture and, in some cases, manipulate specific behavioural features. This means that researchers often develop, from scratch, their own solutions and experimental set-ups. Here, we present OptoPi, an open source, affordable (∼ £600), behavioural arena with accompanying multi-animal tracking software. The system features highly customisable and reproducible visible and infrared illumination and allows for temporally precise optogenetic stimulation. OptoPi acquires images using a Raspberry Pi camera, features motorised LED-based illumination, Arduino control, as well as spectrum and irradiance monitoring to fine-tune illumination conditions with real time feedback. Our open-source software (BIO) can be used to simultaneously track multiple animals while accurately keeping individual animal’s identity both in on-line and off-line modes. We demonstrate the functionality of OptoPi by recording and tracking under different illumination conditions the spontaneous behaviour of larval zebrafish as well as adult Drosophila flies and their first instar larvae, an experimental animal that due to its small size and transparency has classically been hard to track. Further, we showcase OptoPi’s optogenetic capabilities through a series of experiments using transgenic Drosophila larvae.
Published: 2023
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45. Insights into the metastatic cascade through research autopsies

Author: Hessey, Sonya, Fessas, Petros, Zaccaria, Simone, Jamal-Hanjani, Mariam, and Swanton, Charles
Subjects: Chemical Biology & High Throughput, Cancer Research, Signalling & Oncogenes, Human Biology & Physiology, Oncology, Ecology,Evolution & Ethology, Genome Integrity & Repair, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract: Metastasis is a complex process and the leading cause of cancer-related death globally. Recent studies have demonstrated that genomic sequencing data from paired primary and metastatic tumours can be used to trace the evolutionary origins of cells responsible for metastasis. This approach has yielded new insights into the genomic alterations that engender metastatic potential, and the mechanisms by which cancer spreads. Given that the reliability of these approaches is contingent upon how representative the samples are of primary and metastatic tumour heterogeneity, we review insights from studies that have reconstructed the evolution of metastasis within the context of their cohorts and designs. We discuss the role of research autopsies in achieving the comprehensive sampling necessary to advance the current understanding of metastasis.
Published: 2023
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46. Human endogenous retrovirus onco-exaptation counters cancer cell senescence through calbindin

Author: Jan Attig, Judith Pape, Laura Doglio, Anastasiya Kazachenka, Eleonora Ottina, George R. Young, Katey S.S. Enfield, Iker Valle Aramburu, Kevin W. Ng, Nikhil Faulkner, William Bolland, Venizelos Papayannopoulos, Charles Swanton, and George Kassiotis
Subjects: Model organisms, Chemical Biology & High Throughput, Signalling & Oncogenes, Human Biology & Physiology, Ecology,Evolution & Ethology, FOS: Clinical medicine, Genome Integrity & Repair, Immunology, Infectious Disease, General Medicine, Tumour Biology, Genetics & Genomics, Computational & Systems Biology
Abstract: Increased levels and diversity of human endogenous retrovirus (HERV) transcription characterizes most cancer types, linked with disease outcomes. However, the underlying processes are incompletely understood. We show that elevated transcription of HERVH proviruses predicts survival of lung squamous cell carcinoma (LUSC) and identify an isoform of CALB1, encoding Calbindin, ectopically driven by an upstream HERVH provirus under the control of KLF5, as the mediator of this effect. HERVH-CALB1 expression initiates in pre-invasive lesions and associates with their progression. Calbindin loss in LUSC cell lines impairs in vitro and in vivo growth and triggers senescence, consistent with a pro-tumor effect. However, Calbindin also directly controls the senescence-associated secretory phenotype (SASP), marked by secretion of CXCL8 and other neutrophil chemoattractants. In established carcinomas, CALB1-negative cancer cells become the dominant source of CXCL8, correlating with neutrophil infiltration and worse prognosis. Thus, HERVH-CALB1 expression in LUSC may display antagonistic pleiotropy, whereby the benefits of escaping senescence early during cancer initiation and clonal competition are offset by the prevention of SASP and pro-tumor inflammation at later stages.
Published: 2023
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47. Integrated transcriptome landscape of ALS identifies genome instability linked to TDP-43 pathology

Author: Oliver J. Ziff, Jacob Neeves, Jamie Mitchell, Giulia Tyzack, Carlos Martinez-Ruiz, Raphaelle Luisier, Anob M. Chakrabarti, Nicholas McGranahan, Kevin Litchfield, Simon J. Boulton, Ammar Al-Chalabi, Gavin Kelly, Jack Humphrey, and Rickie Patani
Subjects: Model organisms, Chemical Biology & High Throughput, Multidisciplinary, FOS: Clinical medicine, Stem Cells, Genome Integrity & Repair, Neurosciences, General Physics and Astronomy, Gene Expression, General Chemistry, Cell Biology, Tumour Biology, Biochemistry & Proteomics, General Biochemistry, Genetics and Molecular Biology, Ecology,Evolution & Ethology, Cell Cycle & Chromosomes, Genetics & Genomics, Computational & Systems Biology
Abstract: Amyotrophic Lateral Sclerosis (ALS) causes motor neuron degeneration, with 97% of cases exhibiting TDP-43 proteinopathy. Elucidating pathomechanisms has been hampered by disease heterogeneity and difficulties accessing motor neurons. Human induced pluripotent stem cell-derived motor neurons (iPSMNs) offer a solution; however, studies have typically been limited to underpowered cohorts. Here, we present a comprehensive compendium of 429 iPSMNs from 15 datasets, and 271 post-mortem spinal cord samples. Using reproducible bioinformatic workflows, we identify robust upregulation of p53 signalling in ALS in both iPSMNs and post-mortem spinal cord. p53 activation is greatest with C9orf72 repeat expansions but is weakest with SOD1 and FUS mutations. TDP-43 depletion potentiates p53 activation in both post-mortem neuronal nuclei and cell culture, thereby functionally linking p53 activation with TDP-43 depletion. ALS iPSMNs and post-mortem tissue display enrichment of splicing alterations, somatic mutations, and gene fusions, possibly contributing to the DNA damage response.
Published: 2023
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48. Genomic footprints of activated telomere maintenance mechanisms in cancer

Author: Sieverling, Lina, Hong, Chen, Koser, Sandra D, Ginsbach, Philip, Kleinheinz, Kortine, Hutter, Barbara, Braun, Delia M, Cortés-Ciriano, Isidro, Xi, Ruibin, Kabbe, Rolf, Park, Peter J, Eils, Roland, Schlesner, Matthias, Akdemir, Kadir C, Alvarez, Eva G, Baez-Ortega, Adrian, Beroukhim, Rameen, Boutros, Paul C, Bowtell, David DL, Brors, Benedikt, Burns, Kathleen H, Campbell, Peter J, Chan, Kin, Chen, Ken, Dueso-Barroso, Ana, Dunford, Andrew J, Edwards, Paul A, Estivill, Xavier, Etemadmoghadam, Dariush, Feuerbach, Lars, Fink, J Lynn, Frenkel-Morgenstern, Milana, Garsed, Dale W, Gerstein, Mark, Gordenin, Dmitry A, Haan, David, Haber, James E, Hess, Julian M, Imielinski, Marcin, Jones, David TW, Ju, Young Seok, Kazanov, Marat D, Klimczak, Leszek J, Koh, Youngil, Korbel, Jan O, Kumar, Kiran, Lee, Eunjung Alice, Lee, Jake June-Koo, Li, Yilong, Lynch, Andy G, Macintyre, Geoff, Markowetz, Florian, Martincorena, Iñigo, Martinez-Fundichely, Alexander, Meyerson, Matthew, Miyano, Satoru, Nakagawa, Hidewaki, Navarro, Fabio CP, Ossowski, Stephan, Pearson, John V, Puiggròs, Montserrat, Rippe, Karsten, Roberts, Nicola D, Roberts, Steven A, Rodriguez-Martin, Bernardo, Schumacher, Steven E, Scully, Ralph, Shackleton, Mark, Sidiropoulos, Nikos, Stewart, Chip, Torrents, David, MC Tubio, Jose, Villasante, Izar, Waddell, Nicola, Wala, Jeremiah A, Weischenfeldt, Joachim, Yang, Lixing, Yao, Xiaotong, Yoon, Sung-Soo, Zamora, Jorge, Zhang, Cheng-Zhong, Aaltonen, Lauri A, Abascal, Federico, Abeshouse, Adam, Aburatani, Hiroyuki, Adams, David J, Agrawal, Nishant, Ahn, Keun Soo, Ahn, Sung-Min, Aikata, Hiroshi, Akbani, Rehan, Al-Ahmadie, Hikmat, Al-Sedairy, Sultan T, Al-Shahrour, Fatima, Alawi, Malik, Albert, Monique, Aldape, Kenneth, Alexandrov, Ludmil B, Ally, Adrian, Alsop, Kathryn, Amary, Fernanda, Amin, Samirkumar B, Aminou, Brice, Ammerpohl, Ole, Anderson, Matthew J, Ang, Yeng, Antonello, Davide, Anur, Pavana, Aparicio, Samuel, Appelbaum, Elizabeth L, Arai, Yasuhito, Aretz, Axel, Arihiro, Koji, Ariizumi, Shun-ichi, Armenia, Joshua, Arnould, Laurent, Asa, Sylvia, Assenov, Yassen, Atwal, Gurnit, Aukema, Sietse, Auman, J Todd, Aure, Miriam RR, Awadalla, Philip, Aymerich, Marta, Bader, Gary D, Bailey, Matthew H, Bailey, Peter J, Balasundaram, Miruna, Balu, Saianand, Bandopadhayay, Pratiti, Banks, Rosamonde E, Barbi, Stefano, Barbour, Andrew P, Barenboim, Jonathan, Barnholtz-Sloan, Jill, Barr, Hugh, Barrera, Elisabet, Bartlett, John, Bartolome, Javier, Bassi, Claudio, Bathe, Oliver F, Baumhoer, Daniel, Bavi, Prashant, Baylin, Stephen B, Bazant, Wojciech, Beardsmore, Duncan, Beck, Timothy A, Behjati, Sam, Behren, Andreas, Niu, Beifang, Bell, Cindy, Beltran, Sergi, Benz, Christopher, Berchuck, Andrew, Bergmann, Anke K, Bergstrom, Erik N, Berman, Benjamin P, Berney, Daniel M, Bernhart, Stephan H, Berrios, Mario, Bersani, Samantha, Bertl, Johanna, Betancourt, Miguel, Bhandari, Vinayak, Bhosle, Shriram G, Biankin, Andrew V, Bieg, Matthias, Bigner, Darell, Binder, Hans, Birney, Ewan, Birrer, Michael, Biswas, Nidhan K, Bjerkehagen, Bodil, Bodenheimer, Tom, Boice, Lori, Bonizzato, Giada, De Bono, Johann S, Boot, Arnoud, Bootwalla, Moiz S, Borg, Ake, Borkhardt, Arndt, Boroevich, Keith A, Borozan, Ivan, Borst, Christoph, Bosenberg, Marcus, Bosio, Mattia, Boultwood, Jacqueline, Bourque, Guillaume, Bova, G Steven, Bowen, David T, Bowlby, Reanne, Boyault, Sandrine, Boyce, Rich, Boyd, Jeffrey, Brazma, Alvis, Brennan, Paul, Brewer, Daniel S, Brinkman, Arie B, Bristow, Robert G, Broaddus, Russell R, Brock, Jane E, Brock, Malcolm, Broeks, Annegien, Brooks, Angela N, Brooks, Denise, Brunak, Søren, Bruxner, Timothy JC, Bruzos, Alicia L, Buchanan, Alex, Buchhalter, Ivo, Buchholz, Christiane, Bullman, Susan, Burke, Hazel, Burkhardt, Birgit, Busanovich, John, Bustamante, Carlos D, Butler, Adam P, Butte, Atul J, Byrne, Niall J, Børresen-Dale, Anne-Lise, Caesar-Johnson, Samantha J, Cafferkey, Andy, Cahill, Declan, Calabrese, Claudia, Caldas, Carlos, Calvo, Fabien, Camacho, Niedzica, Campo, Elias, Cantù, Cinzia, Cao, Shaolong, Carey, Thomas E, Carlevaro-Fita, Joana, Carlsen, Rebecca, Cataldo, Ivana, Cazzola, Mario, Cebon, Jonathan, Cerfolio, Robert, Chadwick, Dianne E, Chakravarty, Dimple, Chalmers, Don, Chan, Calvin Wing Yiu, Chan-Seng-Yue, Michelle, Chandan, Vishal S, Chang, David K, Chanock, Stephen J, Chantrill, Lorraine A, Chateigner, Aurélien, Chatterjee, Nilanjan, Chayama, Kazuaki, Chen, Hsiao-Wei, Chen, Jieming, Chen, Yiwen, Chen, Zhaohong, Cherniack, Andrew D, Chien, Jeremy, Chiew, Yoke-Eng, Chin, Suet-Feung, Cho, Juok, Cho, Sunghoon, Choi, Jung Kyoon, Choi, Wan, Chomienne, Christine, Chong, Zechen, Choo, Su Pin, Chou, Angela, Christ, Angelika N, Christie, Elizabeth L, Chuah, Eric, Cibulskis, Carrie, Cibulskis, Kristian, Cingarlini, Sara, Clapham, Peter, Claviez, Alexander, Cleary, Sean, Cloonan, Nicole, Cmero, Marek, Collins, Colin C, Connor, Ashton A, Cooke, Susanna L, Cooper, Colin S, Cope, Leslie, Corbo, Vincenzo, Cordes, Matthew G, 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Fraser R, Dutton-Regester, Ken, Eagles, Jenna, Easton, Douglas F, Edmonds, Stuart, Edwards, Sandra E, Eeles, Rosalind A, Ehinger, Anna, Eils, Juergen, El-Naggar, Adel, Eldridge, Matthew, Ellrott, Kyle, Erkek, Serap, Escaramis, Georgia, Espiritu, Shadrielle MG, Eyfjord, Jorunn E, Faltas, Bishoy M, Fan, Daiming, Fan, Yu, Faquin, William C, Farcas, Claudiu, Fassan, Matteo, Fatima, Aquila, Favero, Francesco, Fayzullaev, Nodirjon, Felau, Ina, Fereday, Sian, Ferguson, Martin L, Ferretti, Vincent, Field, Matthew A, Finocchiaro, Gaetano, Fisher, Cyril, Fittall, Matthew W, Fitzgerald, Anna, Fitzgerald, Rebecca C, Flanagan, Adrienne M, Fleshner, Neil E, Flicek, Paul, Foekens, John A, Fong, Kwun M, Fonseca, Nuno A, Foster, Christopher S, Fox, Natalie S, Fraser, Michael, Frazer, Scott, Friedman, William, Frigola, Joan, Fronick, Catrina C, Fujimoto, Akihiro, Fujita, Masashi, Fukayama, Masashi, Fulton, Lucinda A, Fulton, Robert S, Furuta, Mayuko, Futreal, P Andrew, Füllgrabe, Anja, Gabriel, Stacey 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Steven JM, Jonkers, Jos, Juhl, Hartmut, Jung, Jongsun, Juul, Malene, Juul, Randi Istrup, Juul, Sissel, Jäger, Natalie, Kahles, Andre, Kahraman, Abdullah, Kaiser, Vera B, Kakavand, Hojabr, Kalimuthu, Sangeetha, von Kalle, Christof, Kang, Koo Jeong, Karaszi, Katalin, Karlan, Beth, Karlić, Rosa, Karsch, Dennis, Kasaian, Katayoon, Kassahn, Karin S, Katai, Hitoshi, Kato, Mamoru, Katoh, Hiroto, Kawakami, Yoshiiku, Kay, Jonathan D, Kazakoff, Stephen H, Keays, Maria, Kebebew, Electron, Kefford, Richard F, Kellis, Manolis, Kench, James G, Kennedy, Catherine J, Kerssemakers, Jules NA, Khoo, David, Khoo, Vincent, Khuntikeo, Narong, Khurana, Ekta, Kilpinen, Helena, Kim, Hark Kyun, Kim, Hyung-Lae, Kim, Hyung-Yong, Kim, Hyunghwan, Kim, Jaegil, Kim, Jihoon, Kim, Jong K, Kim, Youngwook, King, Tari A, Klapper, Wolfram, Knappskog, Stian, Kneba, Michael, Knoppers, Bartha M, Komorowski, Jan, Komura, Daisuke, Komura, Mitsuhiro, Kong, Gu, Kool, Marcel, Korchina, Viktoriya, Korshunov, Andrey, Koscher, Michael, Koster, Roelof, Kote-Jarai, Zsofia, Koures, Antonios, Kovacevic, Milena, Kremeyer, Barbara, Kretzmer, Helene, Kreuz, Markus, Krishnamurthy, Savitri, Kube, Dieter, Kumar, Pardeep, Kumar, Sushant, Kumar, Yogesh, Kundra, Ritika, Kübler, Kirsten, Küppers, Ralf, Lagergren, Jesper, Lai, Phillip H, Laird, Peter W, Lakhani, Sunil R, Lalansingh, Christopher M, Lalonde, Emilie, Lamaze, Fabien C, Lambert, Adam, Lander, Eric, Landgraf, Pablo, Landoni, Luca, Langerød, Anita, Lanzós, Andrés, Larsimont, Denis, Larsson, Erik, Lathrop, Mark, Lau, Loretta MS, Lawerenz, Chris, Lawlor, Rita T, Lawrence, Michael S, Lazar, Alexander J, Lazic, Ana Mijalkovic, Le, Xuan, Lee, Darlene, Lee, Donghoon, Lee, Hee Jin, Lee, Jeong-Yeon, Lee, Juhee, Lee, Ming Ta Michael, Lee-Six, Henry, Lehmann, Kjong-Van, Lehrach, Hans, Lenze, Dido, Leonard, Conrad R, Leongamornlert, Daniel A, Leshchiner, Ignaty, Letourneau, Louis, Letunic, Ivica, Levine, Douglas A, Lewis, Lora, Ley, Tim, Li, Chang, Li, Constance H, Li, 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Staaf, Johan, Stadler, Peter F, Staib, Peter, Stark, Stefan G, Stebbings, Lucy, Stefánsson, Ólafur Andri, Stegle, Oliver, Stein, Lincoln D, Stenhouse, Alasdair, Stilgenbauer, Stephan, Stobbe, Miranda D, Stratton, Michael R, Stretch, Jonathan R, Struck, Adam J, Stuart, Joshua M, Stunnenberg, Henk G, Su, Hong, Su, Xiaoping, Sun, Ren X, Sungalee, Stephanie, Susak, Hana, Suzuki, Akihiro, Sweep, Fred, Szczepanowski, Monika, Sültmann, Holger, Yugawa, Takashi, Tam, Angela, Tamborero, David, Tan, Benita Kiat Tee, Tan, Donghui, Tan, Patrick, Tanaka, Hiroko, Taniguchi, Hirokazu, Tanskanen, Tomas J, Tarabichi, Maxime, Tarnuzzer, Roy, Tarpey, Patrick, Taschuk, Morgan L, Tatsuno, Kenji, Tavaré, Simon, Taylor, Darrin F, Taylor-Weiner, Amaro, Teague, Jon W, Teh, Bin Tean, Tembe, Varsha, Temes, Javier, Thai, Kevin, Thayer, Sarah P, Thiessen, Nina, Thomas, Gilles, Thomas, Sarah, Thompson, Alan, Thompson, Alastair M, Thompson, John FF, Thompson, R Houston, Thorne, Heather, Thorne, Leigh B, Thorogood, Adrian, Tiao, Grace, Tijanic, Nebojsa, Timms, Lee E, Tirabosco, Roberto, Tojo, Marta, Tommasi, Stefania, Toon, Christopher W, Toprak, Umut H, Tortora, Giampaolo, Tost, Jörg, Totoki, Yasushi, Townend, David, Traficante, Nadia, Treilleux, Isabelle, Trotta, Jean-Rémi, Trümper, Lorenz HP, Tsao, Ming, Tsunoda, Tatsuhiko, Tucker, Olga, Turkington, Richard, Turner, Daniel J, Tutt, Andrew, Ueno, Masaki, Ueno, Naoto T, Umbricht, Christopher, Umer, Husen M, Underwood, Timothy J, Urban, Lara, Urushidate, Tomoko, Ushiku, Tetsuo, Uusküla-Reimand, Liis, Valencia, Alfonso, Van Den Berg, David J, Van Laere, Steven, Van Loo, Peter, Van Meir, Erwin G, Van den Eynden, Gert G, Van der Kwast, Theodorus, Vasudev, Naveen, Vazquez, Miguel, Vedururu, Ravikiran, Veluvolu, Umadevi, Vembu, Shankar, Verbeke, Lieven PC, Vermeulen, Peter, Verrill, Clare, Viari, Alain, Vicente, David, Vicentini, Caterina, VijayRaghavan, K, Viksna, Juris, Vilain, Ricardo E, Vincent-Salomon, Anne, Visakorpi, Tapio, Voet, Douglas, Vyas, Paresh, Vázquez-García, Ignacio, Waddell, Nick M, Wadelius, Claes, Wadi, Lina, Wagener, Rabea, Wang, Jian, Wang, Jiayin, Wang, Linghua, Wang, Qi, Wang, Wenyi, Wang, Yumeng, Wang, Zhining, Waring, Paul M, Warnatz, Hans-Jörg, Warrell, Jonathan, Warren, Anne Y, Waszak, Sebastian M, Wedge, David C, Weichenhan, Dieter, Weinberger, Paul, Weinstein, John N, Weisenberger, Daniel J, Welch, Ian, Wendl, Michael C, Werner, Johannes, Whalley, Justin P, Wheeler, David A, Whitaker, Hayley C, Wigle, Dennis, Wilkerson, Matthew D, Williams, Ashley, Wilmott, James S, Wilson, Gavin W, Wilson, Julie M, Wilson, Richard K, Winterhoff, Boris, Wintersinger, Jeffrey A, Wiznerowicz, Maciej, Wolf, Stephan, Wong, Bernice H, Wong, Tina, Wong, Winghing, Woo, Youngchoon, Wood, Scott, Wouters, Bradly G, Wright, Adam J, Wright, Derek W, Wright, Mark H, Wu, Chin-Lee, Wu, Dai-Ying, Wu, Guanming, Wu, Jianmin, Wu, Kui, Wu, Yang, Wu, Zhenggang, Xi, Liu, Xia, Tian, Xiang, Qian, Xiao, Xiao, Xing, Rui, Xiong, Heng, Xu, Qinying, Xu, Yanxun, Xue, Hong, Yachida, Shinichi, Yakneen, Sergei, Yamaguchi, Rui, Yamaguchi, Takafumi N, Yamamoto, Masakazu, Yamamoto, Shogo, Yamaue, Hiroki, Yang, Fan, Yang, Huanming, Yang, Jean Y, Yang, Liming, Yang, Shanlin, Yang, Tsun-Po, Yang, Yang, Yaspo, Marie-Laure, Yates, Lucy, Yau, Christina, Ye, Chen, Ye, Kai, Yellapantula, Venkata D, Yoon, Christopher J, Yousif, Fouad, Yu, Jun, Yu, Kaixian, Yu, Willie, Yu, Yingyan, Yuan, Ke, Yuan, Yuan, Yuen, Denis, Yung, Christina K, Zaikova, Olga, Zapatka, Marc, Zenklusen, Jean C, Zenz, Thorsten, Zeps, Nikolajs, Zhang, Fan, Zhang, Hailei, Zhang, Hongwei, Zhang, Hongxin, Zhang, Jiashan, Zhang, Jing, Zhang, Junjun, Zhang, Xiuqing, Zhang, Xuanping, Zhang, Yan, Zhang, Zemin, Zhao, Zhongming, Zheng, Liangtao, Zheng, Xiuqing, Zhou, Wanding, Zhou, Yong, Zhu, Bin, Zhu, Hongtu, Zhu, Jingchun, Zhu, Shida, Zou, Lihua, Zou, Xueqing, deFazio, Anna, van As, Nicholas, van Deurzen, Carolien HM, van de Vijver, Marc J, Veer, L van’t, and von Mering, Christian
Subjects: Human Biology & Physiology, Ecology,Evolution & Ethology, Tumour Biology, Genetics & Genomics, Structural Biology & Biophysics, Computational & Systems Biology
Abstract: Cancers require telomere maintenance mechanisms for unlimited replicative potential. They achieve this through TERT activation or alternative telomere lengthening associated with ATRX or DAXX loss. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we dissect whole-genome sequencing data of over 2500 matched tumor-control samples from 36 different tumor types aggregated within the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium to characterize the genomic footprints of these mechanisms. While the telomere content of tumors with ATRX or DAXX mutations (ATRX/DAXXtrunc) is increased, tumors with TERT modifications show a moderate decrease of telomere content. One quarter of all tumor samples contain somatic integrations of telomeric sequences into non-telomeric DNA. This fraction is increased to 80% prevalence in ATRX/DAXXtrunc tumors, which carry an aberrant telomere variant repeat (TVR) distribution as another genomic marker. The latter feature includes enrichment or depletion of the previously undescribed singleton TVRs TTCGGG and TTTGGG, respectively. Our systematic analysis provides new insight into the recurrent genomic alterations associated with telomere maintenance mechanisms in cancer.
Published: 2023
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49. The impact of acute nutritional interventions on the plasma proteome

Author: Spyros I Vernardis, Vadim Demichev, Oliver Lemke, Nana-Maria Grüning, Christoph Messner, Matt White, Maik Pietzner, Alina Peluso, Tinh-Hai Collet, Elana Henning, Christoph Gille, Archie Campbell, Caroline Hayward, David J Porteous, Riccardo E Marioni, Michael Mülleder, Aleksej Zelezniak, Nicholas J Wareham, Claudia Langenberg, I Sadaf Farooqi, and Markus Ralser
Subjects: Chemical Biology & High Throughput, Endocrinology, Metabolism, Ecology,Evolution & Ethology, Endocrinology, Diabetes and Metabolism, Biochemistry (medical), Clinical Biochemistry, Synthetic Biology, Biochemistry, Computational & Systems Biology
Abstract: ContextHumans respond profoundly to changes in diet, while nutrition and environment have a great impact on population health. It is therefore important to deeply characterize the human nutritional responses.ObjectiveEndocrine parameters and the metabolome of human plasma are rapidly responding to acute nutritional interventions such as caloric restriction or a glucose challenge. It is less well understood whether the plasma proteome would be equally dynamic, and whether it could be a source of corresponding biomarkers.MethodsWe used high-throughput mass spectrometry to determine changes in the plasma proteome of i) 10 healthy, young, male individuals in response to 2 days of acute caloric restriction followed by refeeding; ii) 200 individuals of the Ely epidemiological study before and after a glucose tolerance test at 4 time points (0, 30, 60, 120 minutes); and iii) 200 random individuals from the Generation Scotland study. We compared the proteomic changes detected with metabolome data and endocrine parameters.ResultsBoth caloric restriction and the glucose challenge substantially impacted the plasma proteome. Proteins responded across individuals or in an individual-specific manner. We identified nutrient-responsive plasma proteins that correlate with changes in the metabolome, as well as with endocrine parameters. In particular, our study highlights the role of apolipoprotein C1 (APOC1), a small, understudied apolipoprotein that was affected by caloric restriction and dominated the response to glucose consumption and differed in abundance between individuals with and without type 2 diabetes.ConclusionOur study identifies APOC1 as a dominant nutritional responder in humans and highlights the interdependency of acute nutritional response proteins and the endocrine system.
Published: 2023
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50. The health of influenza surveillance and pandemic preparedness in the wake of the COVID-19 pandemic

Author: Rodney Stuart Daniels and John William McCauley
Subjects: Ecology,Evolution & Ethology, Virology, Infectious Disease
Abstract: The COVID-19 pandemic is the first to have emerged when Next Generation Sequencing was readily available and it has played the major role in following evolution of the causative agent, Severe Acute Respiratory Syndrome Coronavirus 2. Response to the pandemic was greatly facilitated though use of existing influenza surveillance networks: World Health Organization (WHO) Global Influenza Surveillance and Response System (GISRS), focussing largely on human influenza, and the OFFLU network of expertise on avian influenza established by the Food and Agricultural Organization of the United Nations (FAO) and the World Organization for Animal Health (WOAH). Data collection/deposition platforms associated with these networks, notably WHO’s FluNet and the Global Initiative on Sharing All Influenza Data (GISAID) were/are being used intensely. Measures introduced to combat COVID-19 resulted in greatly decreased circulation of human seasonal influenza viruses for approximately 2 years, but circulation continued in the animal sector with an upsurge in the spread of highly pathogenic avian influenza subtype H5N1 with large numbers of wild bird deaths, culling of many poultry flocks and sporadic spill over into mammalian species, including humans, thereby increasing pandemic risk potential. While there are proposals/implementations to extend use of GISRS and GISAID to other infectious disease agents (e.g. Respiratory Syncytial Virus and Monkeypox), there is need to ensure that influenza surveillance is maintained and improved in both human and animal sectors in a sustainable manner to be truly prepared (early detection) for the next influenza pandemic.
Published: 2023
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