768 research outputs found

    Epigenetic Regulation of Epithelial-Mesenchymal Transition in Epithelial Stem Cells and Triple Negative Breast Cancer

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    Epithelial-mesenchymal transition (EMT) is a cellular program responsible for the conversion of stationary epithelial cells characterized by apical-basolateral polarity to motile mesenchymal cells with front-back end polarity. EMT drives the fundamental developmental processes of implantation, gastrulation and neural crest formation. This essential developmental program becomes reactivated during cancer progression to promote metastasis. These studies examine the molecular and epigenetic mechanisms responsible for the induction of EMT in several developmental epithelial stem cell models and Basal-like and Claudin-low breast cancer subtypes. Using trophoblast stem (TS) cells paused in EMT, we have defined the molecular and epigenetic mechanisms responsible for modulating the induction of EMT. Targeted inactivation of MAP3K4, knockdown of CBP, or overexpression of SNAI1 in TS cells induced intermediate EMT phenotypes. These TS cells exhibited epigenetic changes in the histone acetylation landscape that caused loss of epithelial maintenance while preserving self-renewal and multipotency. MAP3K4 controls the activity of the histone acetyltransferase CBP, and acetylation of histone H2B by CBP is required to maintain the epithelial phenotype of TS cells. Combined loss of MAP3K4/CBP activity represses expression of epithelial genes and causes TS cells to undergo EMT while maintaining self-renewal and multipotency. A similar EMT phenotype and an EMT gene signature shared with TS cells in EMT were found in Claudin-low breast cancer cells with properties of EMT and stemness. Therefore, it was hypothesized that the upregulated genes within the intersecting EMT signature define a novel set of genes critical to the induction of EMT and maintenance of the mesenchymal phenotype in breast cancer cells. We designed an RNAi screen in the Claudin-low EpCAM(-) population of SUM149 and SUM229 Basal-like breast cancer cells to identify genes responsible for maintaining the mesenchymal phenotype. Using this RNAi screening strategy for EMT-regulatory genes, the chromatin-remodeling factor Smarcd3/Baf60c was identified as a novel epigenetic regulator controlling the induction of EMT. Expression of Smarcd3/Baf60c in human mammary epithelial cells promoted EMT in a Wnt5a-dependent manner. These results highlight a new mechanism of epigenetic regulation of EMT, whereby Smarcd3/Baf60c promotes loss of epithelial cell polarity and dissolution of cell-cell junctions through activation of non-canonical WNT signaling.Doctor of Philosoph

    Tracking the intermediate stages of epithelial-mesenchymal transition in epithelial stem cells and cancer

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    Epithelial-mesenchymal transition (EMT) is an essential developmental program that becomes reactivated in adult tissues to promote the progression of cancer. EMT has been largely studied by examining the beginning epithelial state or the ending mesenchymal state without studying the intermediate stages. Recent studies using trophoblast stem (TS) cells paused in EMT have defined the molecular and epigenetic mechanisms responsible for modulating the intermediate “metastable” stages of EMT. Targeted inactivation of MAP3K4, knockdown of CBP or overexpression of SNAI1 in TS cells induced similar metastable phenotypes. These TS cells exhibited epigenetic changes in the histone acetylation landscape that cause loss of epithelial maintenance while preserving self-renewal and multipotency. A similar phenotype was found in claudin-low breast cancer cells with properties of EMT and stemness. This intersection between EMT and stemness in TS cells and claudin-low metastatic breast cancer demonstrates the usefulness of developmental EMT systems to understand EMT in cancer

    The F-BAR Domain of srGAP2 Induces Membrane Protrusions Required for Neuronal Migration and Morphogenesis

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    SummaryDuring brain development, proper neuronal migration and morphogenesis is critical for the establishment of functional neural circuits. Here we report that srGAP2 negatively regulates neuronal migration and induces neurite outgrowth and branching through the ability of its F-BAR domain to induce filopodia-like membrane protrusions resembling those induced by I-BAR domains in vivo and in vitro. Previous work has suggested that in nonneuronal cells filopodia dynamics decrease the rate of cell migration and the persistence of leading edge protrusions. srGAP2 knockdown reduces leading process branching and increases the rate of neuronal migration in vivo. Overexpression of srGAP2 or its F-BAR domain has the opposite effects, increasing leading process branching and decreasing migration. These results suggest that F-BAR domains are functionally diverse and highlight the functional importance of proteins directly regulating membrane deformation for proper neuronal migration and morphogenesis

    Efficiently identifying genome-wide changes with next-generation sequencing data

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    We propose a new and effective statistical framework for identifying genome-wide differential changes in epigenetic marks with ChIP-seq data or gene expression with mRNA-seq data, and we develop a new software tool EpiCenter that can efficiently perform data analysis. The key features of our framework are: (i) providing multiple normalization methods to achieve appropriate normalization under different scenarios, (ii) using a sequence of three statistical tests to eliminate background regions and to account for different sources of variation and (iii) allowing adjustment for multiple testing to control false discovery rate (FDR) or family-wise type I error. Our software EpiCenter can perform multiple analytic tasks including: (i) identifying genome-wide epigenetic changes or differentially expressed genes, (ii) finding transcription factor binding sites and (iii) converting multiple-sample sequencing data into a single read-count data matrix. By simulation, we show that our framework achieves a low FDR consistently over a broad range of read coverage and biological variation. Through two real examples, we demonstrate the effectiveness of our framework and the usages of our tool. In particular, we show that our novel and robust ‘parsimony’ normalization method is superior to the widely-used ‘tagRatio’ method. Our software EpiCenter is freely available to the public

    MAP3K4/CBP-Regulated H2B Acetylation Controls Epithelial-Mesenchymal Transition in Trophoblast Stem Cells

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    Epithelial stem cells self-renew while maintaining multipotency, but the dependence of stem cell properties on maintenance of the epithelial phenotype is unclear. We previously showed that trophoblast stem (TS) cells lacking the protein kinase MAP3K4 maintain properties of both stemness and epithelial-mesenchymal transition (EMT). Here, we show that MAP3K4 controls the activity of the histone acetyltransferase CBP, and that acetylation of histones H2A and H2B by CBP is required to maintain the epithelial phenotype. Combined loss of MAP3K4/CBP activity represses expression of epithelial genes and causes TS cells to undergo EMT while maintaining their self-renewal and multipotency properties. The expression profile of MAP3K4 deficient TS cells defines an H2B acetylation regulated gene signature that closely overlaps with that of human breast cancer cells. Taken together, our data define an epigenetic switch that maintains the epithelial phenotype in TS cells and reveal previously unrecognized genes potentially contributing to breast cancer

    Nucleoside Reverse Transcriptase Inhibitor Resistance Mutations Associated with First-Line Stavudine-Containing Antiretroviral Therapy: Programmatic Implications for Countries Phasing Out Stavudine

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    Background The World Health Organization Antiretroviral Treatment Guidelines recommend phasing-out stavudine because of its risk of long-term toxicity. There are two mutational pathways of stavudine resistance with different implications for zidovudine and tenofovir cross-resistance, the primary candidates for replacing stavudine. However, because resistance testing is rarely available in resource-limited settings, it is critical to identify the cross-resistance patterns associated with first-line stavudine failure. Methods We analyzed HIV-1 resistance mutations following first-line stavudine failure from 35 publications comprising 1,825 individuals. We also assessed the influence of concomitant nevirapine vs. efavirenz, therapy duration, and HIV-1 subtype on the proportions of mutations associated with zidovudine vs. tenofovir cross-resistance. Results Mutations with preferential zidovudine activity, K65R or K70E, occurred in 5.3% of individuals. Mutations with preferential tenofovir activity, ≥two thymidine analog mutations (TAMs) or Q151M, occurred in 22% of individuals. Nevirapine increased the risk of TAMs, K65R, and Q151M. Longer therapy increased the risk of TAMs and Q151M but not K65R. Subtype C and CRF01_AE increased the risk of K65R, but only CRF01_AE increased the risk of K65R without Q151M. Conclusions Regardless of concomitant nevirapine vs. efavirenz, therapy duration, or subtype, tenofovir was more likely than zidovudine to retain antiviral activity following first-line d4T therap

    Dynamic Reprogramming of the Kinome in Response to Targeted MEK Inhibition in Triple-Negative Breast Cancer

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    Kinase inhibitors have limited success in cancer treatment because tumors circumvent their action. Using a quantitative proteomics approach, we assessed kinome activity in response to MEK inhibition in triple negative breast cancer (TNBC) cells and genetically engineered mice (GEMMs). MEK inhibition caused acute ERK activity loss, resulting in rapid c-Myc degradation that induced expression and activation of several receptor tyrosine kinases (RTKs). RNAi knockdown of ERK or c-Myc mimicked RTK induction by MEK inhibitors, whereas prevention of proteasomal c-Myc degradation blocked kinome reprogramming. MEK inhibitor-induced RTK stimulation overcame MEK2 but not MEK1 inhibition, reactivating ERK and producing drug resistance. The C3Tag GEMM for TNBC similarly induced RTKs in response to MEK inhibition. The inhibitor-induced RTK profile suggested a kinase inhibitor combination therapy that produced GEMM tumor apoptosis and regression where single agents were ineffective. This approach defines mechanisms of drug resistance, allowing rational design of combination therapies for cancer

    Exome-wide association study to identify rare variants influencing COVID-19 outcomes : Results from the Host Genetics Initiative

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    Publisher Copyright: Copyright: © 2022 Butler-Laporte et al. 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.Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75–10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.Peer reviewe

    Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative

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