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      Dissecting neural differentiation regulatory networks through epigenetic footprinting

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          Abstract

          Human pluripotent stem cell derived models that accurately recapitulate neural development in vitro and allow for the generation of specific neuronal subtypes are of major interest to the stem cell and biomedical community. Notch signaling, particularly through the Notch effector HES5, is a major pathway critical for the onset and maintenance of neural progenitor cells (NPCs) in the embryonic and adult nervous system 1- 3 . This can be exploited to isolate distinct populations of human embryonic stem (ES) cell derived NPCs 4 . Here, we report the transcriptional and epigenomic analysis of six consecutive stages derived from a HES5-GFP reporter ES cell line 5 differentiated along the neural trajectory aimed at modeling key cell fate decisions including specification, expansion and patterning during the ontogeny of cortical neural stem and progenitor cells. In order to dissect the regulatory mechanisms that orchestrate the stage-specific differentiation process, we developed a computational framework to infer key regulators of each cell state transition based on the progressive remodeling of the epigenetic landscape and then validated these through a pooled shRNA screen. We were also able to refine our previous observations on epigenetic priming at transcription factor binding sites and show here that they are mediated by combinations of core and stage- specific factors. Taken together, we demonstrate the utility of our system and outline a general framework, not limited to the context of the neural lineage, to dissect regulatory circuits of differentiation.

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          Most cited references37

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The Xist lncRNA exploits three-dimensional genome architecture to spread across the X chromosome.

            Many large noncoding RNAs (lncRNAs) regulate chromatin, but the mechanisms by which they localize to genomic targets remain unexplored. We investigated the localization mechanisms of the Xist lncRNA during X-chromosome inactivation (XCI), a paradigm of lncRNA-mediated chromatin regulation. During the maintenance of XCI, Xist binds broadly across the X chromosome. During initiation of XCI, Xist initially transfers to distal regions across the X chromosome that are not defined by specific sequences. Instead, Xist identifies these regions by exploiting the three-dimensional conformation of the X chromosome. Xist requires its silencing domain to spread across actively transcribed regions and thereby access the entire chromosome. These findings suggest a model in which Xist coats the X chromosome by searching in three dimensions, modifying chromosome structure, and spreading to newly accessible locations.
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              An expansive human regulatory lexicon encoded in transcription factor footprints

              Regulatory factor binding to genomic DNA protects the underlying sequence from cleavage by DNaseI, leaving nucleotide-resolution footprints. Using genomic DNaseI footprinting across 41 diverse cell and tissue types, we detected 45 million factor occupancy events within regulatory regions, representing differential binding to 8.4 million distinct short sequence elements. Here we show that this small genomic sequence compartment, roughly twice the size of the exome, encodes an expansive repertoire of conserved recognition sequences for DNA-binding proteins that nearly doubles the size of the human cis-regulatory lexicon. We find that genetic variants affecting allelic chromatin states are concentrated in footprints, and that these elements are preferentially sheltered from DNA methylation. High-resolution DNaseI cleavage patterns mirror nucleotide-level evolutionary conservation and track the crystallographic topography of protein-DNA interfaces, indicating that transcription factor structure has been evolutionarily imprinted on the human genome sequence. We identify a stereotyped 50 base-pair footprint that precisely defines the site of transcript origination within thousands of human promoters. Finally, we describe a large collection of novel regulatory factor recognition motifs that are highly conserved in both sequence and function, and exhibit cell-selective occupancy patterns that closely parallel major regulators of development, differentiation, and pluripotency.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                28 October 2014
                24 December 2014
                19 February 2015
                19 August 2015
                : 518
                : 7539
                : 355-359
                Affiliations
                [1 ] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
                [2 ] Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA.
                [3 ] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
                [4 ] Department of Cell and Developmental Biology, Sackler School of Medicine, Tel Aviv University, 6997801, Israel
                [5 ] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
                [6 ] Center for Systems Biology and Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
                [7 ] Applied Bioinformatics, Center for Bioinformatics and Quantitative Biology Center, University of Tübingen, Tübingen, Germany
                Author notes
                Correspondence and requests for materials should be addressed to Yechiel Elkabetz ( elkabetz@ 123456tauex.tau.ac.il ) or Alexander Meissner ( alexander_meissner@ 123456harvard.edu ).
                Article
                NIHMS637127
                10.1038/nature13990
                4336237
                25533951
                4f31d07a-b540-41e5-a8f5-a301ca513a54

                Reprints and permissions information is available at www.nature.com/reprints.

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