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10.1101/gr.215004.116 http://scihub22266oqcxt.onion/10.1101/gr.215004.116 C5495076!5495076 !28424352     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28424352 &cmd=llinks): Failed to open stream: HTTP request failed! 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Chromatin module inference on cellular trajectories identifies key transition points and poised epigenetic states in diverse developmental processes |pdf=|usr=}}{{28424352 }} gab.com Text Chromatin module inference on cellular trajectories identifies key transition points and poised epigenetic states in diverse developmental processes JO: Genome Res http://www.kidney.de/pget.php?&tw=1&pmid=28424352 #FOAvip Changes in chromatin state play important roles in cell fate transitions. Current computational approaches to analyze chromatin modifications across multiple cell types do not model how the cell types are related on a lineage or over time. To overcome this limitation, we developed a method called Chromatin Module INference on Trees (CMINT), a probabilistic clustering approach to systematically capture chromatin state dynamics across multiple cell types. Compared to existing approaches, CMINT can handle complex lineage topologies, capture higher quality clusters, and reliably detect chromatin transitions between cell types. We applied CMINT to gain novel insights in two complex processes: reprogramming to induced pluripotent stem cells (iPSCs) and hematopoiesis. In reprogramming, chromatin changes could occur without large gene expression changes, different combinations of activating marks were associated with specific reprogramming factors, there was an order of acquisition of chromatin marks at pluripotency loci, and multivalent states (comprising previously undetermined combinations of activating and repressive histone modifications) were enriched for CTCF. In the hematopoietic system, we defined critical decision points in the lineage tree, identified regulatory elements that were enriched in cell-type-specific regions, and found that the underlying chromatin state was achieved by specific erasure of preexisting chromatin marks in the precursor cell or by de novo assembly. Our method provides a systematic approach to model the dynamics of chromatin state to provide novel insights into the relationships among cell types in diverse cell-fate specification processes. Twit Text FOAVip Chromatin module inference on cellular trajectories identifies key transition points and poised epigenetic states in diverse developmental processes ????Genome Res http://www.kidney.de/pget.php?&tw=1&pmid=28424352 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28424352 #FOAvip English Wikipedia <ref>{{Cite pmid|28424352 }}</ref> Chromatin module inference on cellular trajectories identifies key transition points and poised epigenetic states in diverse developmental processes #MMPMID28424352 Roy S ; Sridharan R Genome Res 2017[Jul]; 27 (7 ): 1250-1262 PMID28424352 show ga Changes in chromatin state play important roles in cell fate transitions. Current computational approaches to analyze chromatin modifications across multiple cell types do not model how the cell types are related on a lineage or over time. To overcome this limitation, we developed a method called Chromatin Module INference on Trees (CMINT), a probabilistic clustering approach to systematically capture chromatin state dynamics across multiple cell types. Compared to existing approaches, CMINT can handle complex lineage topologies, capture higher quality clusters, and reliably detect chromatin transitions between cell types. We applied CMINT to gain novel insights in two complex processes: reprogramming to induced pluripotent stem cells (iPSCs) and hematopoiesis. In reprogramming, chromatin changes could occur without large gene expression changes, different combinations of activating marks were associated with specific reprogramming factors, there was an order of acquisition of chromatin marks at pluripotency loci, and multivalent states (comprising previously undetermined combinations of activating and repressive histone modifications) were enriched for CTCF. In the hematopoietic system, we defined critical decision points in the lineage tree, identified regulatory elements that were enriched in cell-type-specific regions, and found that the underlying chromatin state was achieved by specific erasure of preexisting chromatin marks in the precursor cell or by de novo assembly. Our method provides a systematic approach to model the dynamics of chromatin state to provide novel insights into the relationships among cell types in diverse cell-fate specification processes. |*Cellular Reprogramming [MESH] |*Epigenesis, Genetic [MESH] |*Hematopoiesis [MESH] |Cell Line [MESH] |Chromatin/genetics/*metabolism [MESH] |Humans [MESH]Chromatin module inference on cellular trajectories identifies key tra(epmc).pdf DeepDyve Pubget Overpricing