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      Histone hyperacetylation disrupts core gene regulatory architecture in rhabdomyosarcoma

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          Abstract

          Core regulatory transcription factors (CR TFs) orchestrate the placement of super-enhancers (SEs) to activate transcription of cell-identity specifying gene networks, and are critical in promoting cancer. Here, we define the core regulatory circuitry of rhabdomyosarcoma (RMS) and identify critical CR TF dependencies. These CR TFs build SEs that have the largest levels of histone acetylation, yet paradoxically SEs also harbor the highest amounts of histone deacetylases (HDACs). We find that hyperacetylation selectively halts CR TF transcription. To investigate the architectural determinants of this phenotype, we developed Absolute Quantification of Architecture (AQuA) HiChIP, revealing erosion of native SE contacts, and aberrant spreading of contacts involving histone acetylation. Hyperacetylation removes RNA Pol2 from core regulatory genetic elements, and eliminates RNA-Pol2 but not BRD4 phase condensates. This study identifies a SE-specific requirement for balancing histone modification states to maintain SE architecture and CR TF transcription.

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          Most cited references34

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          Discovery of cancer drug targets by CRISPR-Cas9 screening of protein domains

          CRISPR-Cas9 genome editing technology holds great promise for discovering therapeutic targets in cancer and other diseases. Current screening strategies target CRISPR-induced mutations to the 5’ exons of candidate genes 1–5 , but this approach often produces in-frame variants that retain functionality, which can obscure even strong genetic dependencies. Here we overcome this limitation by targeting CRISPR mutagenesis to exons encoding functional protein domains. This generates a higher proportion of null mutations and substantially increases the potency of negative selection. We show that the magnitude of negative selection reports the functional importance of individual protein domains of interest. A screen of 192 chromatin regulatory domains in murine acute myeloid leukemia cells identifies six known drug targets and 19 additional dependencies. A broader application of this approach may allow comprehensive identification of protein domains that sustain cancer cells and are suitable for drug targeting.
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            Database for mRNA Half-Life of 19 977 Genes Obtained by DNA Microarray Analysis of Pluripotent and Differentiating Mouse Embryonic Stem Cells

            Degradation of mRNA is one of the key processes that control the steady-state level of gene expression. However, the rate of mRNA decay for the majority of genes is not known. We successfully obtained the rate of mRNA decay for 19 977 non-redundant genes by microarray analysis of RNA samples obtained from mouse embryonic stem (ES) cells. Median estimated half-life was 7.1 h and only <100 genes, including Prdm1, Myc, Gadd45 g, Foxa2, Hes5 and Trib1, showed half-life less than 1 h. In general, mRNA species with short half-life were enriched among genes with regulatory functions (transcription factors), whereas mRNA species with long half-life were enriched among genes related to metabolism and structure (extracellular matrix, cytoskeleton). The stability of mRNAs correlated more significantly with the structural features of genes than the function of genes: mRNA stability showed the most significant positive correlation with the number of exon junctions per open reading frame length, and negative correlation with the presence of PUF-binding motifs and AU-rich elements in 3′-untranslated region (UTR) and CpG di-nucleotides in the 5′-UTR. The mRNA decay rates presented in this report are the largest data set for mammals and the first for ES cells.
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              ACETYLATION AND METHYLATION OF HISTONES AND THEIR POSSIBLE ROLE IN THE REGULATION OF RNA SYNTHESIS

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                Author and article information

                Journal
                9216904
                2419
                Nat Genet
                Nat. Genet.
                Nature genetics
                1061-4036
                1546-1718
                9 November 2019
                29 November 2019
                December 2019
                29 May 2020
                : 51
                : 12
                : 1714-1722
                Affiliations
                [1 ]Genetics Branch, NCI, NIH, Bethesda, MD, USA
                [2 ]Department of Oncohematology, Ospedale Pediatrico Bambino Gesu’ Research Institute, IRCCS, Rome, Italy
                [3 ]Pediatric Oncology Branch, CCR, NCI, NIH, Bethesda, MD, USA
                [4 ]Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
                [5 ]Genetics Program, Stony Brook University, Stony Brook, New York 11794, USA
                [6 ]Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, Chapel Hill, NC 27599, USA
                [7 ]Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
                [8 ]Systems Biology Center, NHLBI, NIH, Bethesda, MD, USA
                [9 ]Advanced Imaging and Microscopy Resource, NIBIB, NIH, Bethesda, MD, USA
                [10 ]The Research Institute at Nationwide, Nationwide Children’s Hospital, Columbus, OH, USA
                Author notes

                Author Contributions

                B.E.G. and J.K. conceived the project. B.E.G. wrote the manuscript. All authors contributed to the interpretation of data and editing of the manuscript. B.E.G., S.P., C.S., and Y.S. performed ChIP-seq and RNA-seq experiments and generated data. B.E.G. and B.Z.S. conceived and performed AQuA-HiChIP experiments. B.E.G., A.W., X.W., and H.-C.C. wrote scripts and pipelines for bioinformatic analysis. B.E.G. and J.C. designed and performed imaging experiments. B.E.G., S.B., R.S. and A.M.C. performed dCas9-based recruitment experiments under N.H.’s supervision. J.S., B.Z.S, K.Z., C.V. and J.K. supervised the work and mentored the first author. S.P. performed western blot and shRNA experiments under R.R.’s supervision. X.S.W. designed and performed domain focused CRISPR screening under C.V.’s supervision. B.E.G. and J.K. made final edits.

                [* ]Corresponding authors: Berkley E. Gryder, Ph.D. berkley.gryder@ 123456nih.gov , Javed Khan, M.D. khanjav@ 123456mail.nih.gov
                Article
                NIHMS1541485
                10.1038/s41588-019-0534-4
                6886578
                31784732
                2704b2ab-4b73-4ea7-85cd-3d9bb62a197e

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                Genetics
                Genetics

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