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      ARID1A loss impairs enhancer-mediated gene regulation and drives colon cancer in mice

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          Abstract

          Genes encoding subunits of SWI/SNF chromatin remodeling complexes are collectively mutated in ~20% of all human cancers 12 . Although ARID1A is the most frequent target of mutations, the mechanism by which its inactivation promotes tumorigenesis is unclear. Here, we demonstrate that Arid1a functions as a tumor suppressor in the mouse colon, but not the small intestine, and that invasive ARID1A-deficient adenocarcinomas resemble human colorectal cancer (CRC). These tumors lack deregulation of APC/β-catenin, crucial gatekeepers in common forms of intestinal cancer. ARID1A normally targets SWI/SNF complexes to enhancers, where they function in coordination with transcription factors (TFs) to facilitate gene activation. ARID1B preserves SWI/SNF function in ARID1A-deficient cells, but defects in SWI/SNF targeting and control of enhancer activity cause extensive dysregulation of gene expression. These findings represent an advance in colon cancer modeling and implicate enhancer-mediated gene regulation as a principal tumor suppressor function of ARID1A.

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          Most cited references28

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          A genetic model for colorectal tumorigenesis.

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            Molecular genetics of colorectal cancer.

            Over the past three decades, molecular genetic studies have revealed some critical mutations underlying the pathogenesis of the sporadic and inherited forms of colorectal cancer (CRC). A relatively limited number of oncogenes and tumor-suppressor genes-most prominently the APC, KRAS, and p53 genes-are mutated in a sizeable fraction of CRCs, and a larger collection of genes that are mutated in subsets of CRC have begun to be defined. Together with DNA-methylation and chromatin-structure changes, the mutations act to dysregulate conserved signaling networks that exert context-dependent effects on critical cell phenotypes, including the regulation of cellular metabolism, proliferation, differentiation, and survival. Much work remains to be done to fully understand the nature and significance of the individual and collective genetic and epigenetic defects in CRC. Some key concepts for the field have emerged, two of which are emphasized in this review. Specifically, the gene defects in CRC often target proteins and pathways that exert pleiotropic effects on the cancer cell phenotype, and particular genetic and epigenetic alterations are linked to biologically and clinically distinct subsets of CRC.
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              Design and analysis of ChIP-seq experiments for DNA-binding proteins

              Recent progress in massively parallel sequencing platforms has allowed for genome-wide measurements of DNA-associated proteins using a combination of chromatin immunoprecipitation and sequencing (ChIP-seq). While a variety of methods exist for analysis of the established microarray alternative (ChIP-chip), few approaches have been described for processing ChIP-seq data. To fill this gap, we propose an analysis pipeline specifically designed to detect protein binding positions with high accuracy. Using three separate datasets, we illustrate new methods for improving tag alignment and correcting for background signals. We also compare sensitivity and spatial precision of several novel and previously described binding detection algorithms. Finally, we analyze the relationship between the depth of sequencing and characteristics of the detected binding positions, and provide a method for estimating the sequencing depth necessary for a desired coverage of protein binding sites.
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                Author and article information

                Journal
                9216904
                2419
                Nat Genet
                Nat. Genet.
                Nature genetics
                1061-4036
                1546-1718
                22 November 2016
                12 December 2016
                February 2017
                12 June 2017
                : 49
                : 2
                : 296-302
                Affiliations
                [1 ]Program in Biological & Biomedical Sciences, Harvard Medical School, Boston MA, 02215, USA
                [2 ]Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
                [3 ]Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
                [4 ]Department of Medical Oncology and Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
                [5 ]Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
                [6 ]Departments of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
                [7 ]Department of Oncology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
                Author notes
                Article
                NIHMS831184
                10.1038/ng.3744
                5285448
                27941798
                840f3bbe-d888-482d-9ffa-4e79ed37b6a0

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                Genetics
                Genetics

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