Search

We have previously established induced pluripotent stem cell (iPSC) models of Huntington’s disease (HD), demonstrating CAG-repeat-expansion-dependent cell biological changes and toxicity. However, the current differentiation protocols are cumbersome and time consuming, making preparation of large quantities of cells for biochemical or screening assays difficult. Here, we report the generation of immortalized striatal precursor neurons (ISPNs) with normal (33) and expanded (180) CAG repeats from HD iPSCs, differentiated to a phenotype resembling medium spiny neurons (MSN), as a proof of principle for a more tractable patient-derived cell model. For immortalization, we used co-expression of the enzymatic component of telomerase hTERT and conditional expression of c-Myc. ISPNs can be propagated as stable adherent cell lines, and rapidly differentiated into highly homogeneous MSN-like cultures within 2 weeks, as demonstrated by immunocytochemical criteria. Differentiated ISPNs recapitulate major HD-related phenotypes of the parental iPSC model, including brain-derived neurotrophic factor (BDNF)-withdrawal-induced cell death that can be rescued by small molecules previously validated in the parental iPSC model. Proteome and RNA-seq analyses demonstrate separation of HD versus control samples by principal component analysis. We identified several networks, pathways, and upstream regulators, also found altered in HD iPSCs, other HD models, and HD patient samples. HD ISPN lines may be useful for studying HD-related cellular pathogenesis, and for use as a platform for HD target identification and screening experimental therapeutics. The described approach for generation of ISPNs from differentiated patient-derived iPSCs could be applied to a larger allelic series of HD cell lines, and to comparable modeling of other genetic disorders.

Induced pluripotent stem cell (iPSC) technology holds promise for modeling neurodegenerative diseases. Traditional approaches for disease modeling using animal and cellular models require knowledge of disease mutations. However, many patients with neurodegenerative diseases do not have a known genetic cause. iPSCs offer a way to generate patient-specific models and study pathways of dysfunction in an in vitro setting in order to understand the causes and subtypes of neurodegeneration. Furthermore, iPSC-based models can be used to search for candidate therapeutics using high-throughput screening. Here we review how iPSC-based models are currently being used to further our understanding of neurodegenerative diseases, as well as discuss their challenges and future directions.

The synaptic protein α-synuclein is linked through genetics and neuropathology to the pathogenesis of Parkinson’s disease and related disorders. However, the mechanisms by which α-synuclein influences disease onset and progression are incompletely understood. To identify pathogenic pathways and therapeutic targets we performed proteomic analysis in a highly penetrant new Drosophila model of α-synucleinopathy. We identified 476 significantly upregulated and 563 significantly downregulated proteins in heads from α-synucleinopathy model flies compared to controls. We then used multiple complementary analyses to identify and prioritize genes and pathways within the large set of differentially expressed proteins for functional studies. We performed Gene Ontology enrichment analysis, integrated our proteomic changes with human Parkinson’s disease genetic studies, and compared the α-synucleinopathy proteome with that of tauopathy model flies, which are relevant to Alzheimer’s disease and related disorders. These approaches identified GTP cyclohydrolase (GCH1) and folate metabolism as candidate mediators of α-synuclein neurotoxicity. In functional validation studies, we found that the knockdown of Drosophila Gch1 enhanced locomotor deficits in α-synuclein transgenic flies, while folate supplementation protected from α-synuclein toxicity. Our integrative analysis suggested that mitochondrial dysfunction was a common downstream mediator of neurodegeneration. Accordingly, Gch1 knockdown enhanced metabolic dysfunction in α-synuclein transgenic fly brains while folate supplementation partially normalized brain bioenergetics. Here we outline and implement an integrative approach to identify and validate potential therapeutic pathways using comparative proteomics and genetics and capitalizing on the facile genetic and pharmacological tools available in Drosophila.

The ε4 allele of apolipoprotein E (APOE) is the dominant genetic risk factor for late-onset Alzheimer’s disease (AD). However, the reason for the association between APOE4 and AD remains unclear. While much of the research has focused on the ability of the apoE4 protein to increase the aggregation and decrease the clearance of Aβ, there is also an abundance of data showing that APOE4 negatively impacts many additional processes in the brain, including bioenergetics. In order to gain a more comprehensive understanding of APOE4′s role in AD pathogenesis, we performed a transcriptomics analysis of APOE4 vs. APOE3 expression in the entorhinal cortex (EC) and primary visual cortex (PVC) of aged APOE mice. This study revealed EC-specific upregulation of genes related to oxidative phosphorylation (OxPhos). Follow-up analysis utilizing the Seahorse platform showed decreased mitochondrial respiration with age in the hippocampus and cortex of APOE4 vs. APOE3 mice, but not in the EC of these mice. Additional studies, as well as the original transcriptomics data, suggest that multiple bioenergetic pathways are differentially regulated by APOE4 expression in the EC of aged APOE mice in order to increase the mitochondrial coupling efficiency in this region. Given the importance of the EC as one of the first regions to be affected by AD pathology in humans, the observation that the EC is susceptible to differential bioenergetic regulation in response to a metabolic stressor such as APOE4 may point to a causative factor in the pathogenesis of AD.

Summary Neurodegenerative diseases are challenging for systems biology because of the lack of reliable animal models or patient samples at early disease stages. Induced pluripotent stem cells (iPSCs) could address these challenges. We investigated DNA, RNA, epigenetics, and proteins in iPSC-derived motor neurons from patients with ALS carrying hexanucleotide expansions in C9ORF72. Using integrative computational methods combining all omics datasets, we identified novel and known dysregulated pathways. We used a C9ORF72 Drosophila model to distinguish pathways contributing to disease phenotypes from compensatory ones and confirmed alterations in some pathways in postmortem spinal cord tissue of patients with ALS. A different differentiation protocol was used to derive a separate set of C9ORF72 and control motor neurons. Many individual -omics differed by protocol, but some core dysregulated pathways were consistent. This strategy of analyzing patient-specific neurons provides disease-related outcomes with small numbers of heterogeneous lines and reduces variation from single-omics to elucidate network-based signatures., Graphical abstract, Highlights • Multi-omic analysis of differentiated C9ORF72 iPSC-derived motor neurons • Network-based integrative computational analysis • Pathogenic versus compensatory pathways elucidated using C9ORF72 Drosophila model • Pathways confirmed with alternative differentiation protocol and postmortem data, Biological sciences; Neuroscience; Systems neuroscience; Systems biology; Omics

SUMMARYExtrachromosomal circular DNA (ecDNA) is an important driver of aggressive tumor growth, promoting high oncogene copy number, intratumoral heterogeneity, accelerated evolution of drug resistance, enhancer rewiring, and poor outcome. ecDNA has been reported in medulloblastoma (MB), the most common malignant pediatric brain tumor, but the ecDNA landscape and its association with specific MB subgroups, its impact on enhancer rewiring, and its potential clinical implications, are not known. We assembled a retrospective cohort of 468 MB patient samples with available whole genome sequencing (WGS) data covering the four major MB subgroups WNT, SHH, Group 3 and Group 4. Using computational methods for the detection and reconstruction of ecDNA1, we find ecDNA in 82 patients (18%) and observe that ecDNA+ MB patients are more than twice as likely to relapse and three times as likely to die of disease. In addition, we find that individual medulloblastoma tumors often harbor multiple ecDNAs, each containing different amplified oncogenes along with co-amplified non-coding regulatory enhancers. ecDNA was substantially more prevalent among 31 analyzed patient-derived xenograft (PDX) models and cell lines than in our patient cohort. By mapping the accessible chromatin and 3D conformation landscapes of MB tumors that harbor ecDNA, we observe frequent candidate “enhancer rewiring” events that spatially link oncogenes with co-amplified enhancers. Our study reveals the frequency and diversity of ecDNA in a subset of highly aggressive tumors and suggests enhancer rewiring as a frequent oncogenic mechanism of ecDNAs in MB. Further, these results demonstrate that ecDNA is a frequent and potent driver of poor outcome in MB patients.

Microbes employ a large diversity of toxins to kill competing microbes or eukaryotic host cells. Polymorphic toxins are a class of protein toxins abundant in Nature and secreted through various secretion systems. Polymorphic toxins have a modular protein architecture with a toxin domain found at the protein C-terminus. The discovery of microbial toxins is important to improve our understanding of microbial ecology and infectious diseases. Here, we developed a computational approach to discover novel toxin domains of polymorphic toxins and applied it to 105,438 microbial genomes. We validated nine short novel toxins ("PTs") that lead to bacterial cell death; one of them also kills yeast. For four toxins, we also identified a cognate immunity gene ("PIM") that protects the toxin producing cell from toxicity. Additionally, we found that the novel PTs are encoded by ~2.2% of the sequenced bacteria, including numerous Gram-negative and -positive pathogens. We explored two avenues to determine the mechanism of action of these nine PTs. First, we used fluorescence microscopy to observe severe changes in cell size, membrane and chromosome morphology upon expression of the novel toxins. We then identified putative catalytic sites of these toxins, which, upon mutation, abolished their harmful activities. Thus, using this unique hybrid computational-experimental pipeline, we were able to expand the microbial toxins repertoire significantly. These new potent toxins likely play essential roles in inter-microbial competition in Nature and can be utilized in various biotechnological and clinical applications.

SUMMARYThe phenotype of a cell and its underlying molecular state is strongly influenced by extracellular signals, including growth factors, hormones, and extracellular matrix. While these signals are normally tightly controlled, their dysregulation leads to phenotypic and molecular states associated with diverse diseases. To develop a detailed understanding of the linkage between molecular and phenotypic changes, we generated a comprehensive dataset that catalogs the transcriptional, proteomic, epigenomic and phenotypic responses of MCF10A mammary epithelial cells after exposure to the ligands EGF, HGF, OSM, IFNG, TGFB and BMP2. Systematic assessment of the molecular and cellular phenotypes induced by these ligands comprise the LINCS Microenvironment (ME) perturbation dataset, which has been curated and made publicly available for community-wide analysis and development of novel computational methods (synapse.org/LINCS_MCF10A). In illustrative analyses, we demonstrate how this dataset can be used to discover functionally related molecular features linked to specific cellular phenotypes.

Huntington’s disease (HD) is a chronic neurodegenerative disorder characterized by a late clinical onset despite ubiquitous expression of the mutant Huntingtin gene ( HTT ) from birth. Transcriptional dysregulation is a pivotal feature of HD. Yet, the genes that are altered in the prodromal period and their regulators, which present opportunities for therapeutic intervention, remain to be elucidated. Using transcriptional and chromatin profiling, we found aberrant transcription and changes in histone H3K27acetylation in the striatum of R6/1 mice during the presymptomatic disease stages. Integrating these data, we identified the Elk-1 transcription factor as a candidate regulator of prodromal changes in HD. Exogenous expression of Elk-1 exerted beneficial effects in a primary striatal cell culture model of HD, and adeno-associated virus-mediated Elk-1 overexpression alleviated transcriptional dysregulation in R6/1 mice. Collectively, our work demonstrates that aberrant gene expression precedes overt disease onset in HD, identifies the Elk-1 transcription factor as a key regulator linked to early epigenetic and transcriptional changes in HD, and presents evidence for Elk-1 as a target for alleviating molecular pathology in HD.

The ATP/GTP-Binding Protein 1 (AGTPBP1) gene (OMIM *606830) catalyzes deglutamylation of polyglutamylated proteins, and its deficiency manifests by cerebellar ataxia and peripheral neuropathy in mice and lower motor neuron-like disease in sheep. In the mutant mice, cerebellar atrophy due to Purkinje cell degeneration is observed, likely due to increased tubulin polyglutamylation in affected brain areas. We report two unrelated individuals who presented with early onset cerebellar atrophy, developmental arrest with progressive muscle weakness, and feeding and respiratory difficulties, accompanied by severe motor neuronopathy. Whole exome sequencing followed by segregation analysis in the families and cDNA studies revealed deleterious biallelic variants in the AGTPBP1 gene. We conclude that complete loss-of-function of AGTPBP1 in humans, just like in mice and sheep, is associated with cerebellar and motor neuron disease, reminiscent of Pontocerebellar Hypoplasia Type 1 (PCH1).

Surra is a disease caused by the hemoflagellate pathogen Trypanosoma evansi which affects a wide variety of mammals. The only cases reported of the presence of T. evansi in Paraguay were identified in samples from horses and capybaras and they were detected by light microscopy in the 19th century. The aim of this study is to report three autochthonous cases of canine trypanosomiasis caused by T. evansi, for the first time in the country, using molecular techniques and their application for the differential diagnosis of trypanosomatids species. The technique implemented was real-time PCR-HRM, amplifying a fragment of the hsp70gene, using a pair of primers initially used to discriminate Leishmania species. This is the first report on the usage of these primers to detect T. evansi through HRM analysis, which allows thedifferentiation of trypanosomatids species simultaneously, making it an efficient tool for differential diagnosis. Surra é uma doença causada pelo patógeno hemoflagelado Trypanosoma evansi, parasito capaz de acometer diversos mamíferos No Paraguai, os únicos relatos que mencionam a presença de T. evansi datam do século 19, nos quais o parasito foi detectado em amostras provenientes de cavalos e capivaras. Nestesentido, este trabalho relata pela primeira vez três casos autóctones de tripanossomíase canina no Paraguai, aplicando técnicas moleculares para o diagnóstico diferencial de espécies de tripanossomatídeos. Paraatingir o objetivo proposto, um fragmento do gene hsp70 foi amplificado por PCR-HRM em tempo real, empregando um par de primers inicialmente utilizados para diferenciar espécies do gênero Leishmania. O presente estudo relata pela primeira vez a utilização desses primers para a detecção T. evansi mediante a análise de HRM, a qual permite a diferenciação de espécies de tripanossomatídeos simultaneamente, tornando esta metodologia uma ferramenta eficiente para o diagnostico diferencial.

Neural cultures derived from Huntington's disease (HD) patient-derived induced pluripotent stem cells were used for 'omics' analyses to identify mechanisms underlying neurodegeneration. RNA-seq analysis identified genes in glutamate and GABA signaling, axonal guidance and calcium influx whose expression was decreased in HD cultures. One-third of gene changes were in pathways regulating neuronal development and maturation. When mapped to stages of mouse striatal development, the profiles aligned with earlier embryonic stages of neuronal differentiation. We observed a strong correlation between HD-related histone marks, gene expression and unique peak profiles associated with dysregulated genes, suggesting a coordinated epigenetic program. Treatment with isoxazole-9, which targets key dysregulated pathways, led to amelioration of expanded polyglutamine repeat-associated phenotypes in neural cells and of cognitive impairment and synaptic pathology in HD model R6/2 mice. These data suggest that mutant huntingtin impairs neurodevelopmental pathways that could disrupt synaptic homeostasis and increase vulnerability to the pathologic consequence of expanded polyglutamine repeats over time., National Institutes of Health (U.S.) (Grant U54 NS091046), National Institutes of Health (U.S.) (Grant NS089076), National Institutes of Health (U.S.) (Grant R01GM089903)

Current therapies for medulloblastoma, a highly malignant childhood brain tumour, impose debilitating effects on the developing child, and highlight the need for molecularly targeted treatments with reduced toxicity. Previous studies have been unable to identify the full spectrum of driver genes and molecular processes that operate in medulloblastoma subgroups. Here we analyse the somatic landscape across 491 sequenced medulloblastoma samples and the molecular heterogeneity among 1,256 epigenetically analysed cases, and identify subgroup-specific driver alterations that include previously undiscovered actionable targets. Driver mutations were confidently assigned to most patients belonging to Group 3 and Group 4 medulloblastoma subgroups, greatly enhancing previous knowledge. New molecular subtypes were differentially enriched for specific driver events, including hotspot in-frame insertions that target KBTBD4 and 'enhancer hijacking' events that activate PRDM6. Thus, the application of integrative genomics to an extensive cohort of clinical samples derived from a single childhood cancer entity revealed a series of cancer genes and biologically relevant subtype diversity that represent attractive therapeutic targets for the treatment of patients with medulloblastoma.

© 2018 Elsevier Inc., To identify novel genes associated with ALS, we undertook two lines of investigation. We carried out a genome-wide association study comparing 20,806 ALS cases and 59,804 controls. Independently, we performed a rare variant burden analysis comparing 1,138 index familial ALS cases and 19,494 controls. Through both approaches, we identified kinesin family member 5A (KIF5A) as a novel gene associated with ALS. Interestingly, mutations predominantly in the N-terminal motor domain of KIF5A are causative for two neurodegenerative diseases: hereditary spastic paraplegia (SPG10) and Charcot-Marie-Tooth type 2 (CMT2). In contrast, ALS-associated mutations are primarily located at the C-terminal cargo-binding tail domain and patients harboring loss-of-function mutations displayed an extended survival relative to typical ALS cases. Taken together, these results broaden the phenotype spectrum resulting from mutations in KIF5A and strengthen the role of cytoskeletal defects in the pathogenesis of ALS.

Answer ALS is a comprehensive multi-omics approach to ALS to ascertain, at a population level, the various clinical-molecular- biochemical subtypes of sporadic ALS. This national program enrolled 1046 ALS and ALS/FTD patients along with a cohort of 100 matched control patients followed longitudinally over at least one year. A smartphone-based app was employed to collect deep clinical data including fine motor activity, speech, breathing and linguistics/cognition. Analytics of the speech patterns revealed a strong correlation between clinical progression indices and speech. In parallel, blood-derived iPS motor neurons were generated from each patient and the cells underwent multi-omics analytics including whole genome sequencing, RNA transcriptomics, ATAC-Seq and proteome along with quality assurance standards. HIPPA compliant cloud data bases were employed to store all data. There are more than 6 billion clinical and molecular data points per patient generated in the program. The program was designed, and patient consented, to be open access to all clinical, biological and molecular data as well as public release of all generated iPS cell lines. A web portal is available to academics as well as commercial researchers. The ultimate intent of this data is for the generation of Integrated clinical and biological signatures using bioinformatics, statistics and computational biology to establish patterns that may lead to a better understanding of the underlying mechanisms of disease including subgroup identification. Overall, this community based clinical and science program provides for the identification of distinct reliably identifiable subgroups among the sporadic and familial patients and the great utility in iPS based approaches to disease pathophysiology and therapy discovery. Although the data is ALS centric, given the large number of both ALS and control data sets, it would also be enormously useful to others studying frontotemporal dementia, Alzheimer’s, Parkinson’s disease and others.

Summary Aberrant neuronal development and the persistence of mitotic cellular populations have been implicated in a multitude of neurological disorders, including Huntington's disease (HD). However, the mechanism underlying this potential pathology remains unclear. We used a modified protocol to differentiate induced pluripotent stem cells (iPSCs) from HD patients and unaffected controls into neuronal cultures enriched for medium spiny neurons, the cell type most affected in HD. We performed single-cell and bulk transcriptomic and epigenomic analyses and demonstrated that a persistent cyclin D1+ neural stem cell (NSC) population is observed selectively in adult-onset HD iPSCs during differentiation. Treatment with a WNT inhibitor abrogates this NSC population while preserving neurons. Taken together, our findings identify a mechanism that may promote aberrant neurodevelopment and adult neurogenesis in adult-onset HD striatal neurons with the potential for therapeutic compensation., Graphical Abstract, Highlights • Modified iPSC neuronal differentiation protocol that increased production of MSNs • Cyclin D1+ mitotic cells persisted in adult-onset HD iPSC neuronal cultures • Single-cell RNA-seq identified the persistent mitotic population as NSCs • The cyclin D1+ population is abrogated in response to WNT inhibition, Thompson et al. describe a cyclin D1+ neural stem cell population unique to adult-onset Huntington’s disease iPSC-derived neuronal cultures, differentiated using a protocol that increases the derivation of medium spiny neurons. These findings highlight a selective CAG-length-dependent deficit in neurodevelopment. This aberrant mitotic population is ameliorated with WNT inhibition, perhaps identifying a mechanism that can be exploited for therapeutic compensation.

The R6/2 transgenic mouse model of Huntington's disease (HD) shows a disintegration of circadian rhythms that can be delayed by pharmacological and non-pharmacological means. Since the molecular machinery underlying the circadian clocks is intact, albeit progressively dysfunctional, we wondered if light phase shifts could modulate the deterioration in daily rhythms in R6/2 mice. Mice were subjected to four x 4 hour advances in light onset. R6/2 mice adapted to phase advances, although angles of entrainment increased with age. A second cohort was subjected to a jet-lag paradigm (6 hour delay or advance in light onset, then reversal after 2 weeks). R6/2 mice adapted to the original shift, but could not adjust accurately to the reversal. Interestingly, phase shifts ameliorated the circadian rhythm breakdown seen in R6/2 mice under normal LD conditions. Our previous finding that the circadian period (tau) of 16 week old R6/2 mice shortens to approximately 23 hours may explain how they adapt to phase advances and maintain regular circadian rhythms. We tested this using a 23 hour period light/dark cycle. R6/2 mice entrained to this cycle, but onsets of activity continued to advance, and circadian rhythms still disintegrated. Therefore, the beneficial effects of phase-shifting are not due solely to the light cycle being closer to the tau of the mice. Our data show that R6/2 mice can adapt to changes in the LD schedule, even beyond the age when their circadian rhythms would normally disintegrate. Nevertheless, they show abnormal responses to changes in light cycles. These might be caused by a shortened tau, impaired photic re-synchronization, impaired light detection and/or reduced masking by evening light. If similar abnormalities are present in HD patients, they may suffer exaggerated jet-lag. Since the underlying molecular clock mechanism remains intact, light may be a useful treatment for circadian dysfunction in HD.

The Paraguayan Chaco is an isolated environment with its own unique ecosystem. In this region, Chagas disease remains a health problem. Chagas disease is caused by the parasite Trypanosoma cruzi, and it is primarily transmitted by triatomines. In order to identify the blood meal sources of triatomines, specimens of the vector were collected in domestic and peridomestic areas and the PCR-RFLP method was implemented. Cytochrome b was amplified from the samples and later subjected to digestion with two restriction enzymes: Hae III and Xho I.It was possible to generate distinct restriction patterns on the amplified material to identify several blood meal sources for the vectors. We employed the blood from several species as positive controls: human, chicken, canine, feline, and armadillo blood. However, we identified only 3 sources for the blood meals of the insect vectors: human, chicken and canine blood. In total, 76 triatomines were captured. T. cruzi was not found in any of them. In 61% of the captured specimens, the blood meal sources for the vectors could be identified. In 30% of these cases, the presence of DNA from more than one vertebrate was detected in the same triatomine. The most common blood meal source found was chicken blood. The presence of human and chicken blood in triatomines captured in domestic and peridomestic areas strongly suggests that the parasite can freely move amongst both areas regardless of food availability. Free vector movement in these areas constitutes an epidemiological threat for the inhabitants of the community under study.

We present a method for automatically discovering signaling pathways from time-resolved phosphoproteomic data. The Temporal Pathway Synthesizer (TPS) algorithm uses constraint-solving techniques first developed in the context of formal verification to explore paths in an interaction network. It systematically eliminates all candidate structures for a signaling pathway where a protein is activated or inactivated before its upstream regulators. The algorithm can model more than one hundred thousand dynamic phosphosites and can discover pathway members that are not differentially phosphorylated. By analyzing temporal data, TPS defines signaling cascades without needing to experimentally perturb individual proteins. It recovers known pathways and proposes pathway connections when applied to the human epidermal growth factor and yeast osmotic stress responses. Independent kinase mutant studies validate predicted substrates in the TPS osmotic stress pathway. Köksal et al. present a computational technique, the temporal pathway synthesizer (TPS), that combines time series global phosphoproteomic data and protein-protein interaction networks to reconstruct the vast signaling pathways that control post-translational modifications., National Science Foundation (U.S.) ( grant DBI-1553206), National Institutes of Health (U.S.) (training grant T32-HL007312), National Institutes of Health (U.S.) (grant U01-CA184898), National Institutes of Health (U.S.) (grant U54-NS09104)

Glial cells have increasingly been implicated as active participants in the pathogenesis of neurological diseases, but critical pathways and mechanisms controlling glial function and secondary non-cell autonomous neuronal injury remain incompletely defined. Here we use models of Alexander disease, a severe brain disorder caused by gain-of-function mutations in GFAP, to demonstrate that misregulation of GFAP leads to activation of a mechanosensitive signaling cascade characterized by activation of the Hippo pathway and consequent increased expression of A-type lamin. Importantly, we use genetics to verify a functional role for dysregulated mechanotransduction signaling in promoting behavioral abnormalities and non-cell autonomous neurodegeneration. Further, we take cell biological and biophysical approaches to suggest that brain tissue stiffness is increased in Alexander disease. Our findings implicate altered mechanotransduction signaling as a key pathological cascade driving neuronal dysfunction and neurodegeneration in Alexander disease, and possibly also in other brain disorders characterized by gliosis., National Institute of Child Health and Human Development (U.S.) (P01HD076892), National Institute of Child Health and Human Development (U.S.) (U54HD090255), National Institute of Child Health and Human Development (U.S.) (U54HD090256), National Science Foundation (U.S.). Division of Materials Research (DMR-1310266), National Science Foundation (U.S.). Division of Materials Research (DMR-1420570), National Institutes of Health (U.S.) (P01HL120839-03), National Institutes of Health (U.S.) (P01GM096971)

BACKGROUND Glioblastoma is the most common primary malignancy of the central nervous system with a dismal prognosis, even with surgical and chemoradiotherapy. Expression profiling studies classify IDH-wildtype Glioblastoma into three subtypes: Proneural (PN), mesenchymal (MES) and classical (CL). A promising target to inhibit in Glioblastoma is the non-receptor tyrosine kinase and proto-oncogene SRC. After robust pre-clinical results, SRC inhibitors like dasatinib did not improve survival of Glioblastoma patients after recurrence in clinical trials. MATERIAL AND METHODS Consolidating efforts to personalize cancer therapy, we use in silico analyses backed by in vitro and in vivo experiments on Glioblastoma stem-like cells (GSCs) derived from primary patient tumors to present a novel stratification strategy for dasatinib therapy in glioblastoma. To further tackle dasatinib resistance in GSCs, a pooled shRNA library against 5000 genes was combined with dasatinib to identify genes whose knockdown sensitizes GSCs to dasatinib. This was integrated with proteomics and phosphoproteomics data of dasatinib inhibited GSCs. RESULTS We found MES tumors with high expression of SERPINH1 to be sensitive to dasatinib inhibition, compared to the CL and PN subtypes. Interestingly, SRC phosphorylation status did not predict the efficacy of dasatinib inhibition. Computational analyses integrating data from the loss-of-function dropout viability screen and proteomics/phosphoproteomics using a novel modification of the SamNet algorithm identified Wee1, a tyrosine kinase involved in cell-cycle signaling, as a potential combination inhibition target with dasatinib. Further validation experiments showed a robust synergistic effect through combination of dasatinib and the wee1 inhibitor, MK-1775 in PN GSCs. CONCLUSION This study highlights strategies to optimize dasatinib treatment in different glioblastoma subtypes. While the stratification of patients harboring mesenchymal glioblastoma with SERPINH1 overexpression could provide an option in this particular subtype, combining dasatinib or other SRC inhibitors with Wee1 inhibitors could present an additional possibility for treating resistant proneural tumors

To systematically define molecular features in human tumor cells that determine their degree of sensitivity to human allogeneic natural killer (NK) cells, we quantified the NK cell responsiveness of hundreds of molecularly annotated ‘DNA-barcoded’ solid tumor cell lines in multiplexed format and applied genome-scale CRISPR-based gene-editing screens in several solid tumor cell lines, to functionally interrogate which genes in tumor cells regulate the response to NK cells. In these orthogonal studies, NK cell–sensitive tumor cells tend to exhibit ‘mesenchymal-like’ transcriptional programs; high transcriptional signature for chromatin remodeling complexes; high levels of B7-H6 (NCR3LG1); and low levels of HLA-E/antigen presentation genes. Importantly, transcriptional signatures of NK cell–sensitive tumor cells correlate with immune checkpoint inhibitor (ICI) resistance in clinical samples. This study provides a comprehensive map of mechanisms regulating tumor cell responses to NK cells, with implications for future biomarker-driven applications of NK cell immunotherapies. The use of natural killer (NK) cells in immunotherapy as an alternative to allogeneic T cells is gaining ground. Here, two genome-scale high-throughput platforms are used to identify genes that modulate the sensitivity of multiple solid tumor cell lines to NK-mediated killing.

Extrachromosomal circular DNA (ecDNA) has been shown to be an important driver of particularly aggressive human cancers. However, it remains unknown to what extent and by which molecular mechanisms ecDNA promotes tumor development and progression in the different molecular subgroups of medulloblastoma (MB), the most common malignant pediatric brain tumor. To answer these questions, we have assembled a multi-institutional retrospective cohort of 472 MB patient samples with available whole genome sequencing (WGS) data, drawing from three non-overlapping public cancer genomic data repositories and covering all four MB subgroups (i.e. WNT, SHH, Group 3 and Group 4). Using genomic cloud computing platforms, local computing resources and recent computational methods for the detection and reconstruction of ecDNA, we find ecDNA in 66 patients (14%) and observe that the presence of ecDNA is associated with significantly poorer outcomes. By subgroup, ecDNA was found in 0/13 WNT (0%), 18/69 SHH (26%), 12/76 G3 (16%) and 14/123 G4 (11%) patients. Affected genomic loci harbor up to hundredfold amplification of oncogenes including MYC, MYCN, and TERT; as well as amplifications of novel putative driver genes involved in chromatin remodeling, DNA repair, and kinase signaling pathways. To investigate the frequency and properties of ecDNA in model systems of MB tumors, we further analyzed WGS data from 24 patient-derived xenografts (PDX) and four cell lines. ecDNA was substantially more frequent in these patient-derived models (17 of 29, 59%) than in our patient cohort. To elucidate the functional regulatory landscapes of ecDNAs in MB, we generated transcriptional (RNA-seq), accessible chromatin (ATAC-seq), and chromatin interaction (Hi-C) profiles from 6 MB tumor samples. In each case, we identify regulatory interactions that cross fusion breakpoints on the ecDNA, representing potential “enhancer rewiring” events that are likely to contribute to transcriptional activation of co-amplified oncogenes. To test this hypothesis, we are currently conducting in-vitro CRISPRi screens targeting regulatory regions on the ecDNA with the aim of testing whether enhancer-rewiring increases the transcription of co-amplified oncogenes and promotes proliferation and cell line growth. In summary, our study analyzes the frequency, diversity and functional relevance of regulatory enhancers co-amplified with oncogenes on ecDNA across MB subgroups and provides strong scientific justification for continued mechanistic studies of ecDNA in MB tumors and tumor models with the potential to uncover new therapeutic approaches. Citation Format: Owen S. Chapman, Shanqing Wang, Jens Luebeck, Alexandra Garancher, Jon D. Larson, Joshua Lange, John Crawford, Scott L. Pomeroy, Paul Mischel, Ernest Fraenkel, Robert J. Wechsler-Reya, Vineet Bafna, Jill P. Mesirov, Lukas Chavez. The landscape of extrachromosomal circular DNA in medulloblastoma subgroups [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 95.

Obesity is a major human health crisis that promotes insulin resistance and, ultimately, type 2 diabetes. The molecular mechanisms that mediate this response occur across many highly complex biological regulatory levels that are incompletely understood. Here, we present a comprehensive molecular systems biology study of hepatic responses to high-fat feeding in mice. We interrogated diet-induced epigenomic, transcriptomic, proteomic, and metabolomic alterations using high-throughput omic methods and used a network modeling approach to integrate these diverse molecular signals. Our model indicated that disruption of hepatic architecture and enhanced hepatocyte apoptosis are among the numerous biological processes that contribute to early liver dysfunction and low-grade inflammation during the development of diet-induced metabolic syndrome. We validated these model findings with additional experiments on mouse liver sections. In total, we present an integrative systems biology study of diet-induced hepatic insulin resistance that uncovered molecular features promoting the development and maintenance of metabolic disease.

Impaired iron homeostasis and the suppressive effects of proinflammatory cytokines on erythropoiesis, together with alterations of the erythrocyte membrane that impair its survival, cause anemia of inflammation. Recent epidemiologic studies have connected inflammatory anemia with critical illness, obesity, aging, kidney failure, cancer, chronic infection, and autoimmune disease. The proinflammatory cytokine, interleukin-6, the iron regulatory hormone, hepcidin, and the iron exporter, ferroportin, interact to cause iron sequestration in the setting of inflammation. Although severe anemia is associated with adverse outcomes in critical illness, experimental models suggest that iron sequestration is part of a natural defense against pathogens.

SUMMARY Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the progressive loss of motor neurons. While several pathogenic mutations have been identified, the vast majority of ALS cases have no family history of disease. Thus, for most ALS cases, the disease may be a product of multiple pathways contributing to varying degrees in each patient. Using machine learning algorithms, we stratify the transcriptomes of 148 ALS postmortem cortex samples into three distinct molecular subtypes. The largest cluster, identified in 61% of patient samples, displays hallmarks of oxidative and proteotoxic stress. Another 19% of the samples shows predominant signatures of glial activation. Finally, a third group (20%) exhibits high levels of retrotransposon expression and signatures of TARDBP/TDP-43 dysfunction. We further demonstrate that TDP-43 (1) directly binds a subset of retrotransposon transcripts and contributes to their silencing in vitro, and (2) pathological TDP-43 aggregation correlates with retrotransposon de-silencing in vivo., Graphical Abstract, In Brief Tam et al. present transcriptome profiling results from a large set of amyotrophic lateral sclerosis (ALS) patient cortex samples, finding 3 distinct groups. Two ALS subtypes are marked by gene pathways previously associated with ALS disease, while a third group shows elevated retrotransposon expression linked to TDP-43 pathology.

Transcriptional and epigenetic alterations occur early in Huntington's disease (HD), and treatment with epigenetic modulators is beneficial in several HD animal models. The drug JQ1, which inhibits histone acetyl-lysine reader bromodomains, has shown promise for multiple cancers and neurodegenerative disease. We tested whether JQ1 could improve behavioral phenotypes in the R6/2 mouse model of HD and modulate HD-associated changes in transcription and epigenomics. R6/2 and non-transgenic (NT) mice were treated with JQ1 daily from 5 to 11 weeks of age and behavioral phenotypes evaluated over this period. Following the trial, cortex and striatum were isolated and subjected to mRNA-seq and ChIP-seq for the histone marks H3K4me3 and H3K27ac. Initially, JQ1 enhanced motor performance in NT mice. In R6/2 mice, however, JQ1 had no effect on rotarod or grip strength but exacerbated weight loss and worsened performance on the pole test. JQ1-induced gene expression changes in NT mice were distinct from those in R6/2 and primarily involved protein translation and bioenergetics pathways. Dysregulation of HD-related pathways in striatum was exacerbated by JQ1 in R6/2 mice, but not in NTs, and JQ1 caused a corresponding increase in the formation of a mutant huntingtin protein-dependent high molecular weight species associated with pathogenesis. This study suggests that drugs predicted to be beneficial based on their mode of action and effects in wild-type or in other neurodegenerative disease models may have an altered impact in the HD context. These observations have important implications in the development of epigenetic modulators as therapies for HD., National Institutes of Health (Award NRSA-1F31NS090859-01

Erythroid maturation requires the concerted action of a core set of transcription factors. We previously identified the Krüppel-type zinc finger transcription factor Zfp148 (also called ZBP-89) as an interacting partner of the master erythroid transcription factor GATA1. Here we report the conditional knockout of Zfp148 in mice. Global loss of Zfp148 results in perinatal lethality from nonhematologic causes. Selective Zfp148 loss within the hematopoietic system results in a mild microcytic and hypochromic anemia, mildly impaired erythroid maturation, and delayed recovery from phenylhydrazine-induced hemolysis. Based on the mild erythroid phenotype of these mice compared with GATA1-deficient mice, we hypothesized that additional factor(s) may complement Zfp148 function during erythropoiesis. We show that Zfp281 (also called ZBP-99), another member of the Zfp148 transcription factor family, is highly expressed in murine and human erythroid cells. Zfp281 knockdown by itself results in partial erythroid defects. However, combined deficiency of Zfp148 and Zfp281 causes a marked erythroid maturation block. Zfp281 physically associates with GATA1, occupies many common chromatin sites with GATA1 and Zfp148, and regulates a common set of genes required for erythroid cell differentiation. These findings uncover a previously unknown role for Zfp281 in erythroid development and suggest that it functionally overlaps with that of Zfp148 during erythropoiesis.

Although much has been done to understand how rearrangement of the Igκ locus is regulated during B-cell development, little is known about the way the variable (V) segments themselves are selected. Here we show, using B6/Cast hybrid pre-B-cell clones, that a limited number of V segments on each allele is stochastically activated as characterized by the appearance of non-coding RNA and histone modifications. The activation states are clonally distinct, stable across cell division and developmentally important in directing the Ig repertoire upon differentiation. Using a new approach of allelic ATAC-seq, we demonstrate that the Igκ V alleles have differential chromatin accessibility, which may serve as the underlying basis of clonal maintenance at this locus, as well as other instances of monoallelic expression throughout the genome. These findings highlight a new level of immune system regulation that optimizes gene diversity., B cell development involves sequential rearrangement of the immunoglobulin chains, but fine control over the selection process remains a mystery. Here the authors show that individual alleles in pre-B cells are clonally unique and result from stochastic activation of V gene segments to induce optimal generation of a diverse repertoire.

1. PURPOSE OF REVIEW: To provide an overview of recent articles discussing patient preferences for rheumatoid arthritis treatment. 2. RECENT FINDINGS: Recent studies examined patient preferences for rheumatoid arthritis (RA) treatment in several populations, finding that most participants were willing to accept certain risks of adverse effects to gain potential benefits. Perspectives regarding cannabis were studied, with patients describing medical marijuana as an alternative therapy to be used with prescription medications or as means of tapering off these medications. Treatment preferences for different RA therapies were explored using a conjoint analysis survey and five distinct preference phenotypes emerged, with members of the largest group most concerned with the cost of medications. Other discrete choice studies demonstrated route of administration as an important attribute influencing treatment preferences, with patients expressing preference for various modes in different studies. Patient preferences for route of administration have demonstrated preference for newer auto-injectors over pre-filled syringes as well as currently marketed auto-injectors. Incorporating patient preferences in clinical practice recommendations was described in the development of the 2015 American College of Rheumatology (ACR) RA treatment guidelines as well as the 2017 ACR/American Association of Hip and Knee Surgeons guidelines for perioperative management of anti-rheumatic medications. Additionally, other studies explored preferences with regard to predictive testing, medication intensification and tapering, treatment goals and psychological support. 3. SUMMARY: Our review of recent studies show variability in patient preferences for RA treatment, highlighting the importance of incorporating patient input into the treatment approach.

AIM To examine frequencies and spectrum of genomic alterations in Ukrainian patients diagnosed with primary myelofibrosis (PMF). MATERIALS AND METHODS We enrolled 30 Ukrainian patients diagnosed with PMF who were previously tested for usual mutations in mye-loproliferative neoplasms driver genes (JAK2, MPL and CALR). Genomic DNA samples were obtained from peripheral blood leukocytes of these patients. Copy number alterations and copy-neutral loss of heterozygosity (cnLOH) were assessed using a high-density CytoScan HD microarray platform. Statistical significance was evaluated by the Fisher exact test. RESULTS We identified frequent genomic alterations, but no significant difference in the rates of copy-number loss, copy-number gain, cnLOH, or multiple genomic alterations were found in the groups of PMF patients that were positive for one of the usual mutations in driver genes or negative for such mutations (33.3% and 55.6%, p = 0.4181, 19.0% and 11.1%, p = 1.0000, 61.9% and 44.4%, p = 0.4434, 33.3% and 55.6%, p = 0.4181, respectively). The most frequent alterations were cnLOH at 1p36-1p22, 9p24.3-9p13.3 and 11q12.3-11q25; copy number loss at 7q21-7q36.3 and 13q12.3-13q14.3. Copy number alterations and cnLOH commonly affected the EZH2, LAMB4, CBL, CUX1, ATM, RB1 and TP53 genes, in addition to JAK2, MPL and CALR. CONCLUSION We demonstrated the spectrum of genomic alterations in the groups of the Ukrainian PMF patients with or without the usual mutations in the specific driver genes. We identified several potential genes, which may be involved in the myeloproliferative neoplasms development and their phenotype modification (EZH2, LAMB4, CBL, CUX1, ATM, RB1 and TP53).

Extrachromosomal circular DNA (ecDNA) is an important driver of particularly aggressive human cancers. However, the prevalence of ecDNA, and its role in tumor development and progression in the different molecular subgroups of medulloblastoma (MB), remain unknown. To answer these questions, we have assembled a multi-institutional retrospective cohort of 472 MB patients with available whole genome sequencing (WGS) data, drawing from three cancer genomic data repositories and covering all MB subgroups (WNT, SHH, Group 3 and Group 4). Using recent computational methods to detect and reconstruct ecDNA, we find ecDNA in 66 patients (14%) and observe that the presence of ecDNA is associated with significantly poorer outcomes. By subgroup, ecDNA was found in 0/24 WNT (0%), 22/109 SHH (20%), 15/107 Group 3 (14%) and 20/181 Group 4 (11%) patients. Affected genomic loci harbor up to hundredfold amplification of oncogenes including MYC, MYCN, TERT, and other novel putative oncogenes. We further analyzed 24 patient-derived xenograft (PDX) and four cell line models of MB tumors. ecDNA was substantially more frequent in patient-derived models (17 of 29, 59%) than in our patient cohort. To elucidate the functional regulatory landscapes of ecDNAs in MB, we generated transcriptional (RNA-seq), accessible chromatin (ATAC-seq), and chromatin interaction (Hi-C) profiles of 6 MB tumor samples. In each case, we identify regulatory interactions that cross fusion breakpoints on the ecDNA, representing potential “enhancer rewiring” events which may contribute to transcriptional activation of co-amplified oncogenes. To test this hypothesis, we are currently conducting in-vitro CRISPRi screens targeting regulatory regions on the ecDNA of a MB cell line to determine whether these enhancers promote proliferation. In summary, our study analyzes the frequency, diversity and functional relevance of ecDNA across MB subgroups and provides strong justification for continued mechanistic studies of ecDNA in MB with the potential to uncover new therapeutic approaches.

Leishmaniasis is a group of zoonotic diseases caused by a protozoa of the genus Leishmania sp. There have been numerous cases in canines, and in recent years isolated cases in felines were reported. Therefore, cats that live in endemic areas of leishmaniasis are significantly more likely to be infected. It is probable that feline’s immune system is able to control the infection of the parasite, either by eliminating it or by keeping it in a chronic subclinical state. We report a feline case, young adult from Asuncion (Paraguay) with non-specific clinical symptoms. Complementary hematological studies were performed, among them peripheral blood smear and bone marrow puncture, that allowed the identification of the presence of amastigotes of Leishmania sp. L. infantum was identified by molecular techniques. Patient was submitted to treatment, with favorable response and total remission of clinical signs. The identification of the protozoa is determinant for the diagnosis of this disease. Therefore, feline leishmaniasis is less frequent, but not non-existent, and should be included as a differential diagnosis, especially in endemic areas.

The immense and growing repositories of transcriptional data may contain critical insights for developing new therapies. Current approaches to mining these data largely rely on binary classifications of disease vs. control, and are not able to incorporate measures of disease severity. We report an analytical approach to integrate ordinal clinical information with transcriptomics. We apply this method to public data for a large cohort of Huntington’s disease patients and controls, identifying and prioritizing phenotype-associated genes. We verify the role of a high-ranked gene in dysregulation of sphingolipid metabolism in the disease and demonstrate that inhibiting the enzyme, sphingosine-1-phosphate lyase 1 (SPL), has neuroprotective effects in Huntington’s disease models. Finally, we show that one consequence of inhibiting SPL is intracellular inhibition of histone deacetylases, thus linking our observations in sphingolipid metabolism to a well-characterized Huntington’s disease pathway. Our approach is easily applied to any data with ordinal clinical measurements, and may deepen our understanding of disease processes., Identifying gene subsets affecting disease phenotypes from transcriptome data is challenge. Here, the authors develop a method that combines transcriptional data with disease ordinal clinical measurements to discover a sphingolipid metabolism regulator involving in Huntington’s disease progression.

Ectodomain shedding of cell-surface precursor proteins by metalloproteases generates important cellular signalingmolecules. Of importance for disease is the release of ligands that activate the EGFR, such as TGFα, which is mostly carried out by ADAM17 [a member of the A-disintegrin and metalloprotease (ADAM) domain family]. EGFR ligand shedding has been linked to many diseases, in particular cancer development, growth and metastasis, as well as resistance to cancer therapeutics. Excessive EGFR ligand release can outcompete therapeutic EGFR inhibition or the inhibition of other growth factor pathways by providing bypass signaling via EGFR activation. Drugging metalloproteases directly have failed clinically because it indiscriminately affected shedding of numerous substrates. It is therefore essential to identify regulators for EGFR ligand cleavage. Here, integration of a functional shRNA genomic screen, computational network analysis, and dedicated validation tests succeeded in identifying several key signaling pathways as novel regulators of TGFα shedding in cancer cells. Most notably, a cluster of genes with NFκB pathway regulatory functions was found to strongly influence TGFα release, albeit independent of their NFκB regulatory functions. Inflammatory regulators thus also govern cancer cell growth-promoting ectodomain cleavage, lending mechanistic understanding to the well-known connection between inflammation and cancer. Implications: Using genomic screens and network analysis, this study defines targets that regulate ectodomain shedding and suggests new treatment opportunities for EGFR-driven cancers., National Institutes of Health (U.S.) (Grant U01-CA155758), National Institutes of Health (U.S.) (Grant R01-CA096504), National Institutes of Health (U.S.) (Grant U01-CA184898), National Science Foundation (U.S.) (Grant DB1-0821391)

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Small molecule screens are widely used to prioritize pharmaceutical development. However, determining the pathways targeted by these molecules is challenging, since the compounds are often promiscuous. We present a network strategy that takes into account the polypharmacology of small molecules in order to generate hypotheses for their broader mode of action. We report a screen for kinase inhibitors that increase the efficacy of gemcitabine, the first-line chemotherapy for pancreatic cancer. Eight kinase inhibitors emerge that are known to affect 201 kinases, of which only three kinases have been previously identified as modifiers of gemcitabine toxicity. In this work, we use the SAMNet algorithm to identify pathways linking these kinases and genetic modifiers of gemcitabine toxicity with transcriptional and epigenetic changes induced by gemcitabine that we measure using DNaseI-seq and RNA-seq. SAMNet uses a constrained optimization algorithm to connect genes from these complementary datasets through a small set of protein-protein and protein-DNA interactions. The resulting network recapitulates known pathways including DNA repair, cell proliferation and the epithelial-to-mesenchymal transition. We use the network to predict genes with important roles in the gemcitabine response, including six that have already been shown to modify gemcitabine efficacy in pancreatic cancer and ten novel candidates. Our work reveals the important role of polypharmacology in the activity of these chemosensitiz-ing agents., National Institutes of Health (U.S.) (Grant R01-GM089903), National Institutes of Health (U.S.) (Grant U01-CA184898)

Medulloblastoma (MB) is one of the most common pediatric brain tumors. Current treatment options carry substantial risk for lifelong cognitive and neurological impairment. Consequently, there is a pressing need to elucidate molecular mechanisms with the ultimate goal of developing targeted tumor-specific therapies. In a recent study on proteomes and phospho-proteomes of primary MB tumors, we identified proteomic MB subtypes that were not apparent from transcriptional or methylation data. To identify gene regulatory circuitries that drive these MB subtypes, we have now mapped accessible chromatin and 3D chromosome conformation in 23 and 13 MB tumors from the same cohort, using ATAC-seq and Hi-C respectively. We identify subtype-specific accessible regulatory chromatin regions, including a subset of regions not identifiable by the enhancer mark H3K27ac. We associate regulatory regions to their target gene promoters by correlating transcription with ATAC-seq signal strength, and confirm these relationships using the newly generated Hi-C data. Using an unpublished adaptation of the GSEA algorithm, which we tailored for an enrichment analysis of non-coding regulatory elements instead of genes, we identify transcription factors and master regulators with binding sites specific to an MB subtype. By associating these master regulators with their transcriptional targets, we have derived models of regulatory circuitry in MB which implicate central mechanisms of MB pathogenesis and may inform future therapeutic targeting. Citation Format: Owen S. Chapman, Tobias Ehrenberger, Tenley C. Archer, Maxwell P. Gold, Filip Mundt, Miriam Adam, Clarence K. Mah, Karsten Krug, Sahaana Chandran, Jesse R. Dixon, Scot L. Pomeroy, Ernest Fraenkel, Jill P. Mesirov, Lukas Chavez. Integrated omics modeling of transcriptional regulation in medulloblastoma subtypes [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 447.

The ε4 allele of apolipoprotein E (APOE) is the dominant genetic risk factor for late-onset Alzheimer’s disease (AD). However, the reason for the association between APOE4 and AD remains unclear. While much of the research has focused on the ability of the apoE4 protein to increase the aggregation and decrease the clearance of Aβ, there is also an abundance of data showing that APOE4 negatively impacts many additional processes in the brain, including bioenergetics. In order to gain a more comprehensive understanding of the APOE4’s role in AD pathogenesis, we performed a multi-omic analysis of APOE4 vs. APOE3 expression in the entorhinal cortex (EC) and primary visual cortex (PVC) of aged APOE mice. These studies revealed region-specific alterations in several bioenergetic pathways, including oxidative phosphorylation (OxPhos), the TCA-cycle and fatty acid metabolism. Follow-up analysis utilizing the Seahorse platform revealed decreased mitochondrial respiration in the hippocampus and cortex of aged APOE4 vs. APOE3 mice, but not in the EC of these mice. Additional studies, as well as the original multi-omic data suggest that bioernergetic pathways in the EC of aged APOE mice may be differentially regulated by APOE4 expression. Given the importance of the EC as one of the first regions to be affected by AD pathology in humans, this differential bionenergetic regulation observed in the EC vs. other brain regions of aged APOE4 mice may play an important role in the pathogenesis of AD, particularly among APOE4 carriers.

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) represent two ends of a disease spectrum with shared clinical, genetic and pathological features. These include near ubiquitous pathological inclusions of the RNA-binding protein (RBP) TDP-43, and often the presence of a GGGGCC expansion in the C9ORF72 (C9) gene. Previously, we reported that the sequestration of hnRNP H altered the splicing of target transcripts in C9ALS patients (Conlon et al., 2016). Here, we show that this signature also occurs in half of 50 postmortem sporadic, non-C9 ALS/FTD brains. Furthermore, and equally surprisingly, these ‘like-C9’ brains also contained correspondingly high amounts of insoluble TDP-43, as well as several other disease-related RBPs, and this correlates with widespread global splicing defects. Finally, we show that the like-C9 sporadic patients, like actual C9ALS patients, were much more likely to have developed FTD. We propose that these unexpected links between C9 and sporadic ALS/FTD define a common mechanism in this disease spectrum.

Altered cellular metabolism is believed to be an important contributor to pathogenesis of the neurodegenerative disorder Huntington’s disease (HD). Research has primarily focused on mitochondrial toxicity, which can cause death of the vulnerable striatal neurons, but other aspects of metabolism have also been implicated. Most previous studies have been carried out using postmortem human brain or non-human cells. Here, we studied bioenergetics in an induced pluripotent stem cell-based model of the disease. We found decreased adenosine triphosphate (ATP) levels in HD cells compared to controls across differentiation stages and protocols. Proteomics data and multiomics network analysis revealed normal or increased levels of mitochondrial messages and proteins, but lowered expression of glycolytic enzymes. Metabolic experiments showed decreased spare glycolytic capacity in HD neurons, while maximal and spare respiratory capacities driven by oxidative phosphorylation were largely unchanged. ATP levels in HD neurons could be rescued with addition of pyruvate or late glycolytic metabolites, but not earlier glycolytic metabolites, suggesting a role for glycolytic deficits as part of the metabolic disturbance in HD neurons. Pyruvate or other related metabolic supplements could have therapeutic benefit in HD.

Obesity is a major human health crisis that promotes the development of insulin resistance and, ultimately, type 2 diabetes. The molecular mechanisms that mediate this response occur across many levels of biological regulation that are highly complex and incompletely understood. Here we present a comprehensive molecular systems biology study of hepatic responses to high-fat feeding in mice. We interrogated diet-induced epigenomic, transcriptomic, proteomic, and metabolomic alterations using high-throughput omic methods and employed a network modeling approach to integrate these diverse molecular signals. Our model indicated that disruption of hepatic architecture and enhanced hepatocyte apoptosis are among the numerous biological processes that contribute to early liver dysfunction and low-grade inflammation during the development of diet-induced metabolic syndrome. We validated these and other model findings with additional experiments on mouse liver sections. In total, we present a novel integrative systems biology approach to the study of diet-induced hepatic insulin resistance that uncovered molecular features promoting the development and maintenance of metabolic disease.

Diet-induced obesity (DIO) predisposes individuals to insulin resistance, and adipose tissue has a major role in the disease. Insulin resistance can be induced in cultured adipocytes by a variety of treatments, but what aspects of the in vivo responses are captured by these models remains unknown. We use global RNA sequencing to investigate changes induced by TNF-α, hypoxia, dexamethasone, high insulin, and a combination of TNF-α and hypoxia, comparing the results to the changes in white adipose tissue from DIO mice. We found that different in vitro models capture distinct features of DIO adipose insulin resistance, and a combined treatment of TNF-α and hypoxia is most able to mimic the in vivo changes. Using genome-wide DNase I hypersensitivity followed by sequencing, we further examined the transcriptional regulation of TNF-α-induced insulin resistance, and we found that C/EPBβ is a potential key regulator of adipose insulin resistance., National Institutes of Health (U.S.) (Grant DK-068348), National Institutes of Health (U.S.) (Grant R24 DK-090963), National Institutes of Health (U.S.) (Grant R01GM-089903)

OBJECTIVES To determine the mortality rate secondary to blaKPC Klebsiella pneumoniae (KPC/Kp) bacteraemia, compared with that from ESBL-producing K. pneumoniae (ESBL/Kp) bacteraemia, and to determine associated risk factors. METHODS This was a retrospective case-control study of all 68 KPC/Kp bacteraemia patients diagnosed since 2006, matched by year of isolation, gender and age, at a ratio of 1:2, to 136 ESBL/Kp bacteraemia patients. RESULTS There were no demographic differences between the two groups, but there were minor clinical differences. Fewer KPC/Kp study patients than ESBL/Kp control patients had a systolic blood pressure

The anemia of chronic disease is an old disease concept, but contemporary research in the role of proinflammatory cytokines and iron biology has shed new light on the pathophysiology of the condition. Recent epidemiologic studies have connected the anemia of chronic disease with critical illness, obesity, aging, and kidney failure, as well as with the well-established associations of cancer, chronic infection, and autoimmune disease. Functional iron deficiency, mediated principally by the interaction of interleukin-6, the iron regulatory hormone hepcidin, and the iron exporter ferroportin, is a major contributor to the anemia of chronic disease. Although anemia is associated with adverse outcomes, experimental models suggest that iron sequestration is desirable in the setting of severe infection. Experimental therapeutic approaches targeting interleukin-6 or the ferroportin–hepcidin axis have shown efficacy in reversing anemia in either animal models or human patients, although these agents have not yet been approved for the treatment of the anemia of chronic disease.

MicroRNAs (miRNAs) are small non-coding RNAs that play a significant role in development and cancer but induce only moderate repression of direct messenger RNA (mRNA) targets, suggesting that they coordinate with other modes of cellular regulation to affect cellular phenotype. In this work we exhaustively profile the transcriptional and post-transcriptional regulatory changes between an isogenic pair of murine fibroblast cell lines with and without Dicer, an enzyme required for miRNA processing. Through quantitative analysis of diverse high-throughput datasets collected from both cell lines, we were able to decouple transcriptional from post-transcriptional changes reflected in mRNA expression changes between cells with and without miRNAs. We present three major findings. First, we find that direct miRNA-mRNA interactions have a limited impact on gene expression changes upon Dicer deletion when compared to changes at transcription. We then introduce an integrative graphical network approach to identify specific transcription factors that explain the observed changes in gene expression upon loss of Dicer. Validation of this computational model via transcription factor over-expression reveals a subset of the miRNA-mediated transcriptional program that is activated upon Dicer loss, confirming that transcriptional networks amplify the effects of miRNAs. Lastly, we use this network to examine coordination between transcriptional and post-transcriptional regulation. We identify numerous coherent and in-coherent feed-forward loops, network motifs that have been alluded to but only minimally studied in the context of microRNAs and transcription factors, and find that genes regulated within feed-forward loops by microRNAs and transcription factors exhibit distinct properties in development. In summary, our work illustrates how transcriptional networks amplify the effects of microRNAs. We show coordinated regulation of transcription factors by microRNAs that suggests that most gene expression changes attributed to microRNAs in diseases such as cancer are due to changes in transcription rather than microRNA-mediated degradataion. As such, this work has the potential to reframe future studies of microRNAs in the context of cancer by shifting the focus to understanding the impact of microRNAs on transcription factors. Citation Format: Sara JC Gosline, Allan M. Gurtan, Courtney K. JnBaptiste, Andrew Bosson, Pamela Milani, Simona Dalin, Bryan Matthews, Yoon Sing Yap, Phillip A. Sharp, Ernest Fraenkel. Uncovering coordinated regulation of transcription factors by microRNAs using integrated network models. [abstract]. In: Proceedings of the AACR Special Conference on Computational and Systems Biology of Cancer; Feb 8-11 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 2):Abstract nr B2-45.

It is well known that components of the ADAM17/EGFR ligand axis, ADAM17, TGFa, and AR, are upregulated in aggressive, metastatic forms of triple negative breast cancer (TNBC). Furthermore, we know that activation of alternate receptor-tyrosine kinase (RTK) ligands can decrease sensitivity to kinase inhibitor treatments (such as the EGFR-targeting erlotinib) and that locally-shed growth ligands are one source of RTK reactivation1. Unfortunately, directly targeting ADAM17 activity is a poor therapeutic option due to non-specific effects. It is currently unknown what regulators affect ligand shedding, the extent of specificity in this regulation and what connections, if any, exist between ligand shedding regulation and RTK re-activation, cell growth and metastasis in TNBC. We hypothesize that ligand shedding regulation is an important component of altered growth factor pathway signaling and that targets within these pathways contribute to the reactivation of growth factor pathways and chemotherapy resistance in TNBC. Here we use the Prize-Collecting Steiner Forest (PCSF), an interactome-based network construction tool, to identify candidate regulators of ectodomain shedding and leverage TNBC patient data to identify regulators with relevance to TNBC pathology. Citation Format: Jennifer L. Wilson, Ernest Fraenkel, Douglas A. Lauffenburger, Andreas Herrlich. Network analyses identify hidden regulators of TGFa shedding. [abstract]. In: Proceedings of the AACR Special Conference on Computational and Systems Biology of Cancer; Feb 8-11 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 2):Abstract nr B1-33.

Diet plays a crucial role in shaping human health and disease. Diets promoting obesity and insulin resistance can lead to severe metabolic diseases, while calorie-restricted (CR) diets can improve health and extend lifespan. In this work, we fed mice either a chow diet (CD), a 16 week high-fat diet (HFD), or a CR diet to compare and contrast the effects of these diets on mouse liver biology. We collected transcriptomic and epigenomic datasets from these mice using RNA-Seq and DNase-Seq. We found that both CR and HFD induce extensive transcriptional changes, in some cases altering the same genes in the same direction. We used our epigenomic data to infer transcriptional regulatory proteins bound near these genes that likely influence their expression levels. In particular, we found evidence for critical roles played by PPARα and RXRα. We used ChIP-Seq to profile the binding locations for these factors in HFD and CR livers. We found extensive binding of PPARα near genes involved in glycolysis/gluconeogenesis and uncovered a role for this factor in regulating anaerobic glycolysis. Overall, we generated extensive transcriptional and epigenomic datasets from livers of mice fed these diets and uncovered new functions and gene targets for PPARα., United States. Army Research Office (W911NF-09-0001), United States. National Institutes of Health (R24 DK-090963), United States. National Institutes of Health (R01 DK107220), United States. National Institutes of Health (R01GM-089903), United States. National Institutes of Health (P30-ES002109), National Science Foundation (U.S.) (DB1-0821391)