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10.1101/gr.197590.115 http://scihub22266oqcxt.onion/10.1101/gr.197590.115 C4772020!4772020!26843070     free     free     free Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genome+Res 2016 ; 26 (3): 385-96 Nephropedia Template TP {{tp|p=26843070|t=2016. Models of human core transcriptional regulatory circuitries |pdf=|usr=}}{{26843070}} gab.com Text Models of human core transcriptional regulatory circuitries JO: Genome Res http://www.kidney.de/pget.php?&tw=1&pmid=26843070 #FOAvip A small set of core transcription factors (TFs) dominates control of the gene expression program in embryonic stem cells and other well-studied cellular models. These core TFs collectively regulate their own gene expression, thus forming an interconnected auto-regulatory loop that can be considered the core transcriptional regulatory circuitry (CRC) for that cell type. There is limited knowledge of core TFs, and thus models of core regulatory circuitry, for most cell types. We recently discovered that genes encoding known core TFs forming CRCs are driven by super-enhancers, which provides an opportunity to systematically predict CRCs in poorly studied cell types through super-enhancer mapping. Here, we use super-enhancer maps to generate CRC models for 75 human cell and tissue types. These core circuitry models should prove valuable for further investigating cell-type?specific transcriptional regulation in healthy and diseased cells. Twit Text FOAVip Models of human core transcriptional regulatory circuitries ????Genome Res http://www.kidney.de/pget.php?&tw=1&pmid=26843070 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26843070 #FOAvip English Wikipedia <ref>{{Cite pmid|26843070}}</ref> Models of human core transcriptional regulatory circuitries #MMPMID26843070 Saint-André V; Federation AJ; Lin CY; Abraham BJ; Reddy J; Lee TI; Bradner JE; Young RA Genome Res 2016[Mar]; 26 (3): 385-96 PMID26843070show ga A small set of core transcription factors (TFs) dominates control of the gene expression program in embryonic stem cells and other well-studied cellular models. These core TFs collectively regulate their own gene expression, thus forming an interconnected auto-regulatory loop that can be considered the core transcriptional regulatory circuitry (CRC) for that cell type. There is limited knowledge of core TFs, and thus models of core regulatory circuitry, for most cell types. We recently discovered that genes encoding known core TFs forming CRCs are driven by super-enhancers, which provides an opportunity to systematically predict CRCs in poorly studied cell types through super-enhancer mapping. Here, we use super-enhancer maps to generate CRC models for 75 human cell and tissue types. These core circuitry models should prove valuable for further investigating cell-type?specific transcriptional regulation in healthy and diseased cells. äModels of human core transcriptional regulatory circuitries (epmc).pdf DeepDyve Pubget Overpricing