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      Gene regulatory networks controlling vertebrate retinal regeneration

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          Abstract

          Injury induces retinal Müller glia of certain cold-blooded vertebrates, but not mammals, to regenerate neurons. To identify gene regulatory networks that reprogram Müller glia into progenitor cells, we profiled changes in gene expression and chromatin accessibility in Müller glia from zebrafish, chick and mice in response to different stimuli. We identified evolutionarily conserved and species-specific gene networks controlling glial quiescence, reactivity and neurogenesis. In zebrafish and chick, transition from the quiescence to reactivity is essential for retinal regeneration, while in mice a dedicated network suppresses neurogenic competence and restores quiescence. Disruption of nuclear factor I (NFI) transcription factors, which maintain and restore quiescence, induces Müller glia to proliferate and generate neurons in adult mice following injury. These findings may aid in designing therapies to restore retinal neurons lost to degenerative diseases.

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          Most cited references42

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          Identifying ChIP-seq enrichment using MACS.

          Model-based analysis of ChIP-seq (MACS) is a computational algorithm that identifies genome-wide locations of transcription/chromatin factor binding or histone modification from ChIP-seq data. MACS consists of four steps: removing redundant reads, adjusting read position, calculating peak enrichment and estimating the empirical false discovery rate (FDR). In this protocol, we provide a detailed demonstration of how to install MACS and how to use it to analyze three common types of ChIP-seq data sets with different characteristics: the sequence-specific transcription factor FoxA1, the histone modification mark H3K4me3 with sharp enrichment and the H3K36me3 mark with broad enrichment. We also explain how to interpret and visualize the results of MACS analyses. The algorithm requires ∼3 GB of RAM and 1.5 h of computing time to analyze a ChIP-seq data set containing 30 million reads, an estimate that increases with sequence coverage. MACS is open source and is available from http://liulab.dfci.harvard.edu/MACS/.
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            Genetic and pharmacological disruption of the TEAD-YAP complex suppresses the oncogenic activity of YAP.

            The Drosophila TEAD ortholog Scalloped is required for Yki-mediated overgrowth but is largely dispensable for normal tissue growth, suggesting that its mammalian counterpart may be exploited for selective inhibition of oncogenic growth driven by YAP hyperactivation. Here we test this hypothesis genetically and pharmacologically. We show that a dominant-negative TEAD molecule does not perturb normal liver growth but potently suppresses hepatomegaly/tumorigenesis resulting from YAP overexpression or Neurofibromin 2 (NF2)/Merlin inactivation. We further identify verteporfin as a small molecule that inhibits TEAD-YAP association and YAP-induced liver overgrowth. These findings provide proof of principle that inhibiting TEAD-YAP interactions is a pharmacologically viable strategy against the YAP oncoprotein.
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              Metabolic functions of FABPs—mechanisms and therapeutic implications

              Intracellular and extracellular interactions with proteins enables the functional and mechanistic diversity of lipids. Fatty acid-binding proteins (FABPs) were originally described as intracellular proteins that can affect lipid fluxes, metabolism and signalling within cells. As the functions of this protein family have been further elucidated, it has become evident that they are critical mediators of metabolism and inflammatory processes, both locally and systemically, and therefore are potential therapeutic targets for immunometabolic diseases. In particular, genetic deficiency and small molecule-mediated inhibition of FABP4 (also known as aP2) and FABP5 can potently improve glucose homeostasis and reduce atherosclerosis in mouse models. Further research has shown that in addition to their intracellular roles, some FABPs are found outside the cells, and FABP4 undergoes regulated, vesicular secretion. The circulating form of FABP4 has crucial hormonal functions in systemic metabolism. In this Review we discuss the roles and regulation of both intracellular and extracellular FABP actions, highlighting new insights that might direct drug discovery efforts and opportunities for management of chronic metabolic diseases.
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                Author and article information

                Contributors
                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                October 01 2020
                : eabb8598
                Affiliations
                [1 ]Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
                [2 ]Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
                [3 ]Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.
                [4 ]Center for Stem Cells and Regenerative Medicine, University of Notre Dame, Notre Dame, IN 46556, USA.
                [5 ]Center for Zebrafish Research, University of Notre Dame, Notre Dame, IN 46556, USA.
                [6 ]Department of Neuroscience, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
                [7 ]Department of Ophthalmology, University of Florida School of Medicine, Gainesville, FL 32610, USA.
                [8 ]Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
                [9 ]Center for Human Systems Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
                [10 ]Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
                Article
                10.1126/science.abb8598
                33004674
                670a23d5-f20e-4dfd-9cfe-043542c2a8e1
                © 2020
                History

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