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Series GSE76181 Query DataSets for GSE76181
Status Public on Dec 18, 2015
Title Models of Human Core Transcriptional Regulatory Circuitries
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary 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 autoregulatory 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.
 
Overall design ChIP-Seq for RUNX1 and GATA3 in Jurkat T cell acute lymphoblastic leukemia cells.
 
Contributor(s) Saint-Andre V, Federation AJ, Lin CY, Abraham BJ, Reddy J, Lee TI, Bradner JE, Young RA
Citation(s) 26843070
Submission date Dec 18, 2015
Last update date May 15, 2019
Contact name Richard A Young
E-mail(s) young_computation@wi.mit.edu
Phone 617-258-5219
Organization name Whitehead Institute for Biomedical Research
Lab Young Lab
Street address 9 Cambridge Center
City Cambridge
State/province MA
ZIP/Postal code 02142
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (2)
GSM1975912 Jurkat_Runx1_ChIP-seq
GSM1975913 Jurkat_Gata3_ChIP-seq
Relations
BioProject PRJNA306531
SRA SRP067592

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE76181_RAW.tar 142.6 Mb (http)(custom) TAR (of WIG)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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