15 results on '"Slodkowicz G"'
Search Results
2. Transcriptional diversity during lineage commitment of human blood progenitors
- Author
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Chen, L., Kostadima, M., Martens, J.H., Canu, G., Garcia, S.P., Turro, E., Downes, K., Macaulay, I.C., Bielczyk-Maczynska, E., Coe, S., Farrow, S., Poudel, P., Burden, F., Jansen, S.B., Astle, W.J., Attwood, A., Bariana, T., Bono, B. de, Breschi, A., Chambers, J.C., Consortium, B., Choudry, F.A., Clarke, L., Coupland, P., Ent, M. van der, Erber, W.N., Jansen, J.H., Favier, R., Fenech, M.E., Foad, N., Freson, K., Geet, C. Van, Gomez, K., Guigo, R., Hampshire, D., Kelly, A.M., Kerstens, H.H., Kooner, J.S., Laffan, M., Lentaigne, C., Labalette, C., Martin, T., Meacham, S., Mumford, A., Nürnberg, S., Palumbo, E., Reijden, B.A. van der, Richardson, D., Sammut, S.J., Slodkowicz, G., Tamuri, A.U., Vasquez, L., Voss, K., Watt, S., Westbury, S., Flicek, P., Loos, R., Goldman, N., Bertone, P., Read, R.J., Richardson, S., Cvejic, A., Soranzo, N., Ouwehand, W.H., Stunnenberg, H.G., Frontini, M., Rendon, A., Chen, L., Kostadima, M., Martens, J.H., Canu, G., Garcia, S.P., Turro, E., Downes, K., Macaulay, I.C., Bielczyk-Maczynska, E., Coe, S., Farrow, S., Poudel, P., Burden, F., Jansen, S.B., Astle, W.J., Attwood, A., Bariana, T., Bono, B. de, Breschi, A., Chambers, J.C., Consortium, B., Choudry, F.A., Clarke, L., Coupland, P., Ent, M. van der, Erber, W.N., Jansen, J.H., Favier, R., Fenech, M.E., Foad, N., Freson, K., Geet, C. Van, Gomez, K., Guigo, R., Hampshire, D., Kelly, A.M., Kerstens, H.H., Kooner, J.S., Laffan, M., Lentaigne, C., Labalette, C., Martin, T., Meacham, S., Mumford, A., Nürnberg, S., Palumbo, E., Reijden, B.A. van der, Richardson, D., Sammut, S.J., Slodkowicz, G., Tamuri, A.U., Vasquez, L., Voss, K., Watt, S., Westbury, S., Flicek, P., Loos, R., Goldman, N., Bertone, P., Read, R.J., Richardson, S., Cvejic, A., Soranzo, N., Ouwehand, W.H., Stunnenberg, H.G., Frontini, M., and Rendon, A.
- Abstract
Item does not contain fulltext
- Published
- 2014
3. Masking strategies for SARS-CoV-2 alignments
- Author
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Nicola De Maio, Walker C, Borges R, Weilguny L, Slodkowicz G, and Goldman N
4. Issues with SARS-CoV-2 sequencing data
- Author
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De Maio N, Conor Walker, Borges R, Weilguny L, Slodkowicz G, and Goldman N
5. TRIM7 Restricts Coxsackievirus and Norovirus Infection by Detecting the C-Terminal Glutamine Generated by 3C Protease Processing.
- Author
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Luptak J, Mallery DL, Jahun AS, Albecka A, Clift D, Ather O, Slodkowicz G, Goodfellow I, and James LC
- Subjects
- 3C Viral Proteases, Enterovirus, Humans, Norovirus, Viral Proteins genetics, Caliciviridae Infections, Glutamine, Tripartite Motif Proteins genetics, Ubiquitin-Protein Ligases metabolism
- Abstract
TRIM7 catalyzes the ubiquitination of multiple substrates with unrelated biological functions. This cross-reactivity is at odds with the specificity usually displayed by enzymes, including ubiquitin ligases. Here we show that TRIM7's extreme substrate promiscuity is due to a highly unusual binding mechanism, in which the PRYSPRY domain captures any ligand with a C-terminal helix that terminates in a hydrophobic residue followed by a glutamine. Many of the non-structural proteins found in RNA viruses contain C-terminal glutamines as a result of polyprotein cleavage by 3C protease. This viral processing strategy generates novel substrates for TRIM7 and explains its ability to inhibit Coxsackie virus and norovirus replication. In addition to viral proteins, cellular proteins such as glycogenin have evolved C-termini that make them a TRIM7 substrate. The 'helix-ΦQ' degron motif recognized by TRIM7 is reminiscent of the N-end degron system and is found in ~1% of cellular proteins. These features, together with TRIM7's restricted tissue expression and lack of immune regulation, suggest that viral restriction may not be its physiological function.
- Published
- 2022
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6. Stability of SARS-CoV-2 phylogenies.
- Author
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Turakhia Y, De Maio N, Thornlow B, Gozashti L, Lanfear R, Walker CR, Hinrichs AS, Fernandes JD, Borges R, Slodkowicz G, Weilguny L, Haussler D, Goldman N, and Corbett-Detig R
- Subjects
- Algorithms, COVID-19, Computational Biology, Evolution, Molecular, Humans, RNA, Viral genetics, Sequence Alignment, Whole Genome Sequencing, Genome, Viral genetics, Phylogeny, SARS-CoV-2 genetics
- Abstract
The SARS-CoV-2 pandemic has led to unprecedented, nearly real-time genetic tracing due to the rapid community sequencing response. Researchers immediately leveraged these data to infer the evolutionary relationships among viral samples and to study key biological questions, including whether host viral genome editing and recombination are features of SARS-CoV-2 evolution. This global sequencing effort is inherently decentralized and must rely on data collected by many labs using a wide variety of molecular and bioinformatic techniques. There is thus a strong possibility that systematic errors associated with lab-or protocol-specific practices affect some sequences in the repositories. We find that some recurrent mutations in reported SARS-CoV-2 genome sequences have been observed predominantly or exclusively by single labs, co-localize with commonly used primer binding sites and are more likely to affect the protein-coding sequences than other similarly recurrent mutations. We show that their inclusion can affect phylogenetic inference on scales relevant to local lineage tracing, and make it appear as though there has been an excess of recurrent mutation or recombination among viral lineages. We suggest how samples can be screened and problematic variants removed, and we plan to regularly inform the scientific community with our updated results as more SARS-CoV-2 genome sequences are shared (https://virological.org/t/issues-with-sars-cov-2-sequencing-data/473 and https://virological.org/t/masking-strategies-for-sars-cov-2-alignments/480). We also develop tools for comparing and visualizing differences among very large phylogenies and we show that consistent clade- and tree-based comparisons can be made between phylogenies produced by different groups. These will facilitate evolutionary inferences and comparisons among phylogenies produced for a wide array of purposes. Building on the SARS-CoV-2 Genome Browser at UCSC, we present a toolkit to compare, analyze and combine SARS-CoV-2 phylogenies, find and remove potential sequencing errors and establish a widely shared, stable clade structure for a more accurate scientific inference and discourse., Competing Interests: Conflict of interest statement. A.S.H. and D.H. receive royalties from the sale of UCSC Genome Browser source code, LiftOver, GBiB, and GBiC licenses to commercial entities. RL works as an advisor to GISAID.
- Published
- 2020
- Full Text
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7. Ribosome collisions trigger cis-acting feedback inhibition of translation initiation.
- Author
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Juszkiewicz S, Slodkowicz G, Lin Z, Freire-Pritchett P, Peak-Chew SY, and Hegde RS
- Subjects
- Feedback, Physiological, HEK293 Cells, Humans, Proteomics, RNA, Messenger metabolism, Carrier Proteins metabolism, Protein Processing, Post-Translational, Ribosomes metabolism
- Abstract
Translation of aberrant mRNAs can cause ribosomes to stall, leading to collisions with trailing ribosomes. Collided ribosomes are specifically recognised by ZNF598 to initiate protein and mRNA quality control pathways. Here we found using quantitative proteomics of collided ribosomes that EDF1 is a ZNF598-independent sensor of ribosome collisions. EDF1 stabilises GIGYF2 at collisions to inhibit translation initiation in cis via 4EHP. The GIGYF2 axis acts independently of the ZNF598 axis, but each pathway's output is more pronounced without the other. We propose that the widely conserved and highly abundant EDF1 monitors the transcriptome for excessive ribosome density, then triggers a GIGYF2-mediated response to locally and temporarily reduce ribosome loading. Only when collisions persist is translation abandoned to initiate ZNF598-dependent quality control. This tiered response to ribosome collisions would allow cells to dynamically tune translation rates while ensuring fidelity of the resulting protein products., Competing Interests: SJ, GS, ZL, PF, SP No competing interests declared, RH Reviewing editor, eLife, (© 2020, Juszkiewicz et al.)
- Published
- 2020
- Full Text
- View/download PDF
8. Integrated structural and evolutionary analysis reveals common mechanisms underlying adaptive evolution in mammals.
- Author
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Slodkowicz G and Goldman N
- Subjects
- Animals, Environment, Enzymes chemistry, Genomics, Immunity, Mammals immunology, Models, Molecular, Phylogeny, Protein Conformation, Proteins chemistry, Adaptation, Physiological, Evolution, Molecular, Mammals genetics, Mammals physiology, Selection, Genetic
- Abstract
Understanding the molecular basis of adaptation to the environment is a central question in evolutionary biology, yet linking detected signatures of positive selection to molecular mechanisms remains challenging. Here we demonstrate that combining sequence-based phylogenetic methods with structural information assists in making such mechanistic interpretations on a genomic scale. Our integrative analysis shows that positively selected sites tend to colocalize on protein structures and that positively selected clusters are found in functionally important regions of proteins, indicating that positive selection can contravene the well-known principle of evolutionary conservation of functionally important regions. This unexpected finding, along with our discovery that positive selection acts on structural clusters, opens previously unexplored strategies for the development of better models of protein evolution. Remarkably, proteins where we detect the strongest evidence of clustering belong to just two functional groups: Components of immune response and metabolic enzymes. This gives a coherent picture of pathogens and xenobiotics as important drivers of adaptive evolution of mammals., Competing Interests: The authors declare no competing interest.
- Published
- 2020
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9. Rare missense variants in the human cytosolic antibody receptor preserve antiviral function.
- Author
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Zeng J, Slodkowicz G, and James LC
- Subjects
- Adenoviridae genetics, Antibodies, Viral genetics, Antibodies, Viral immunology, Binding Sites, Computational Biology methods, Conserved Sequence, Gene Expression, HEK293 Cells, Haplotypes, HeLa Cells, Healthy Volunteers, Humans, Models, Molecular, Protein Binding, Protein Conformation, alpha-Helical, Protein Conformation, beta-Strand, Protein Interaction Domains and Motifs, Ribonucleoproteins genetics, Ribonucleoproteins immunology, Selection, Genetic, Adenoviridae chemistry, Antibodies, Viral chemistry, Mutation, Missense, Polymorphism, Genetic, Ribonucleoproteins chemistry
- Abstract
The genetic basis of most human disease cannot be explained by common variants. One solution to this 'missing heritability problem' may be rare missense variants, which are individually scarce but collectively abundant. However, the phenotypic impact of rare variants is under-appreciated as gene function is normally studied in the context of a single 'wild-type' sequence. Here, we explore the impact of naturally occurring missense variants in the human population on the cytosolic antibody receptor TRIM21, using volunteer cells with variant haplotypes, CRISPR gene editing and functional reconstitution. In combination with data from a panel of computational predictors, the results suggest that protein robustness and purifying selection ensure that function is remarkably well-maintained despite coding variation., Competing Interests: JZ, GS, LJ No competing interests declared, (© 2019, Zeng et al.)
- Published
- 2019
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10. A conserved molecular switch in Class F receptors regulates receptor activation and pathway selection.
- Author
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Wright SC, Kozielewicz P, Kowalski-Jahn M, Petersen J, Bowin CF, Slodkowicz G, Marti-Solano M, Rodríguez D, Hot B, Okashah N, Strakova K, Valnohova J, Babu MM, Lambert NA, Carlsson J, and Schulte G
- Subjects
- Flow Cytometry, HEK293 Cells, Humans, Immunoblotting, Mitogen-Activated Protein Kinase 1, Mitogen-Activated Protein Kinase 3, Models, Molecular, Phylogeny, Protein Binding, Protein Conformation, Receptors, G-Protein-Coupled genetics, Models, Theoretical, Molecular Dynamics Simulation, Receptors, G-Protein-Coupled metabolism
- Abstract
Class F receptors are considered valuable therapeutic targets due to their role in human disease, but structural changes accompanying receptor activation remain unexplored. Employing population and cancer genomics data, structural analyses, molecular dynamics simulations, resonance energy transfer-based approaches and mutagenesis, we identify a conserved basic amino acid in TM6 in Class F receptors that acts as a molecular switch to mediate receptor activation. Across all tested Class F receptors (FZD
4,5,6,7, SMO), mutation of the molecular switch confers an increased potency of agonists by stabilizing an active conformation as assessed by engineered mini G proteins as conformational sensors. Disruption of the switch abrogates the functional interaction between FZDs and the phosphoprotein Dishevelled, supporting conformational selection as a prerequisite for functional selectivity. Our studies reveal the molecular basis of a common activation mechanism conserved in all Class F receptors, which facilitates assay development and future discovery of Class F receptor-targeting drugs.- Published
- 2019
- Full Text
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11. From prioritisation to understanding: mechanistic predictions of variant effects.
- Author
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Slodkowicz G and Babu MM
- Subjects
- Nucleotides
- Published
- 2018
- Full Text
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12. TRIM21 mediates antibody inhibition of adenovirus-based gene delivery and vaccination.
- Author
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Bottermann M, Foss S, van Tienen LM, Vaysburd M, Cruickshank J, O'Connell K, Clark J, Mayes K, Higginson K, Hirst JC, McAdam MB, Slodkowicz G, Hutchinson E, Kozik P, Andersen JT, and James LC
- Subjects
- Adenoviridae Infections genetics, Adenoviridae Infections immunology, Animals, Fibrosarcoma genetics, Fibrosarcoma immunology, Gene Transfer Techniques, Genetic Vectors, Mice, Mice, Inbred C57BL, Mice, Knockout, Transgenes, Tumor Cells, Cultured, Adenoviridae immunology, Adenoviridae Infections therapy, Antibodies immunology, Fibrosarcoma therapy, Genetic Therapy, Ribonucleoproteins physiology, Vaccination
- Abstract
Adenovirus has enormous potential as a gene-therapy vector, but preexisting immunity limits its widespread application. What is responsible for this immune block is unclear because antibodies potently inhibit transgene expression without impeding gene transfer into target cells. Here we show that antibody prevention of adenoviral gene delivery in vivo is mediated by the cytosolic antibody receptor TRIM21. Genetic KO of TRIM21 or a single-antibody point mutation is sufficient to restore transgene expression to near-naïve immune levels. TRIM21 is also responsible for blocking cytotoxic T cell induction by vaccine vectors, preventing a protective response against subsequent influenza infection and an engrafted tumor. Furthermore, adenoviral preexisting immunity can lead to an augmented immune response upon i.v. administration of the vector. Transcriptomic analysis of vector-transduced tissue reveals that TRIM21 is responsible for the specific up-regulation of hundreds of immune genes, the majority of which are components of the intrinsic or innate response. Together, these data define a major mechanism underlying the preimmune block to adenovirus gene therapy and demonstrate that TRIM21 efficiently blocks gene delivery in vivo while simultaneously inducing a rapid program of immune transcription., Competing Interests: The authors declare no conflict of interest., (Copyright © 2018 the Author(s). Published by PNAS.)
- Published
- 2018
- Full Text
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13. A scored human protein-protein interaction network to catalyze genomic interpretation.
- Author
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Li T, Wernersson R, Hansen RB, Horn H, Mercer J, Slodkowicz G, Workman CT, Rigina O, Rapacki K, Stærfeldt HH, Brunak S, Jensen TS, and Lage K
- Subjects
- Databases, Protein, Genome, Human, Humans, User-Computer Interface, Computational Biology methods, Data Interpretation, Statistical, Gene Regulatory Networks, Genomics methods, Neoplasms genetics, Neoplasms metabolism, Protein Interaction Maps genetics
- Abstract
Genome-scale human protein-protein interaction networks are critical to understanding cell biology and interpreting genomic data, but challenging to produce experimentally. Through data integration and quality control, we provide a scored human protein-protein interaction network (InWeb_InBioMap, or InWeb_IM) with severalfold more interactions (>500,000) and better functional biological relevance than comparable resources. We illustrate that InWeb_InBioMap enables functional interpretation of >4,700 cancer genomes and genes involved in autism.
- Published
- 2017
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14. The human blood DNA methylome displays a highly distinctive profile compared with other somatic tissues.
- Author
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Lowe R, Slodkowicz G, Goldman N, and Rakyan VK
- Subjects
- Gene Expression Regulation, Humans, Methylation, Blood metabolism, DNA Methylation, Histone Code, Histones chemistry, Histones metabolism, Organ Specificity
- Abstract
In mammals, DNA methylation profiles vary substantially between tissues. Recent genome-scale studies report that blood displays a highly distinctive methylomic profile from other somatic tissues. In this study, we sought to understand why blood DNA methylation state is so different to the one found in other tissues. We found that whole blood contains approximately twice as many tissue-specific differentially methylated positions (tDMPs) than any other somatic tissue examined. Furthermore, a large subset of blood tDMPs showed much lower levels of methylation than tDMPs for other tissues. Surprisingly, these regions of low methylation in blood show no difference regarding genomic location, genomic content, evolutionary rates, or histone marks when compared to other tDMPs. Our results reveal why blood displays a distinctive methylation profile relative to other somatic tissues. In the future, it will be important to study how these blood specific tDMPs are mechanistically involved in blood-specific functions.
- Published
- 2015
- Full Text
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15. Transcriptional diversity during lineage commitment of human blood progenitors.
- Author
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Chen L, Kostadima M, Martens JHA, Canu G, Garcia SP, Turro E, Downes K, Macaulay IC, Bielczyk-Maczynska E, Coe S, Farrow S, Poudel P, Burden F, Jansen SBG, Astle WJ, Attwood A, Bariana T, de Bono B, Breschi A, Chambers JC, Consortium B, Choudry FA, Clarke L, Coupland P, van der Ent M, Erber WN, Jansen JH, Favier R, Fenech ME, Foad N, Freson K, van Geet C, Gomez K, Guigo R, Hampshire D, Kelly AM, Kerstens HHD, Kooner JS, Laffan M, Lentaigne C, Labalette C, Martin T, Meacham S, Mumford A, Nürnberg S, Palumbo E, van der Reijden BA, Richardson D, Sammut SJ, Slodkowicz G, Tamuri AU, Vasquez L, Voss K, Watt S, Westbury S, Flicek P, Loos R, Goldman N, Bertone P, Read RJ, Richardson S, Cvejic A, Soranzo N, Ouwehand WH, Stunnenberg HG, Frontini M, and Rendon A
- Subjects
- Genetic Variation, Hematopoietic Stem Cells metabolism, Humans, NFI Transcription Factors genetics, NFI Transcription Factors metabolism, RNA-Binding Proteins metabolism, Thrombopoiesis genetics, Transcriptome, Alternative Splicing, Cell Lineage genetics, Hematopoiesis genetics, Hematopoietic Stem Cells cytology
- Abstract
Blood cells derive from hematopoietic stem cells through stepwise fating events. To characterize gene expression programs driving lineage choice, we sequenced RNA from eight primary human hematopoietic progenitor populations representing the major myeloid commitment stages and the main lymphoid stage. We identified extensive cell type-specific expression changes: 6711 genes and 10,724 transcripts, enriched in non-protein-coding elements at early stages of differentiation. In addition, we found 7881 novel splice junctions and 2301 differentially used alternative splicing events, enriched in genes involved in regulatory processes. We demonstrated experimentally cell-specific isoform usage, identifying nuclear factor I/B (NFIB) as a regulator of megakaryocyte maturation-the platelet precursor. Our data highlight the complexity of fating events in closely related progenitor populations, the understanding of which is essential for the advancement of transplantation and regenerative medicine., (Copyright © 2014, American Association for the Advancement of Science.)
- Published
- 2014
- Full Text
- View/download PDF
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