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Status |
Public on Jan 26, 2011 |
Title |
Transcription factor ChIP-seq in expanded human hematopoietic stem and progenitor cells |
Organism |
Homo sapiens |
Experiment type |
Genome binding/occupancy profiling by high throughput sequencing
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Summary |
While many individual transcription factors are known to regulate hematopoietic differentiation, major aspects of the global architecture of hematopoiesis remain unknown. Here, we profiled gene expression in 38 distinct purified populations of human hematopoietic cells and used probabilistic models of gene expression and analysis of cis-elements in gene promoters to decipher the general organization of their regulatory circuitry. We identified modules of highly co-expressed genes, some of which are restricted to a single lineage, but most are expressed at variable levels across multiple lineages. We found densely interconnected cis-regulatory circuits and a large number of transcription factors that are differentially expressed across hematopoietic states, suggesting a more complex regulatory system than previously assumed. We functionally validated a subset of candidate factors using RNA interference and ChIP-Seq. Our dataset, analytic tools, and findings, available on a web-based portal, provide a unique resource to study the regulatory architecture of hematopoiesis.
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Overall design |
Human CD133-positive Umbilical Cord Blood (UCB) cells were cross-linked with formaldehyde for 20 min. DNA was enriched by chromatin immunoprecipitation (ChIP) and analyzed by Solexa sequencing. A sample of whole cell extract (WCE) was sequenced and used as the background to determine enrichment. ChIP was performed using an antibody against total TAL1 (Santa Cruz SC-12984), PU.1/SPI1 (Santa Cruz SC-352X), IKAROS (Santa Cruz SC-9859X) and MEIS1 (Abcam ab19867).
This submission represents the ChIP-seq component of the study.
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Contributor(s) |
Lawton LN, Young RA |
Citation(s) |
21241896 |
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Submission date |
Dec 10, 2010 |
Last update date |
May 15, 2019 |
Contact name |
Richard A Young |
E-mail(s) |
young_computation@wi.mit.edu
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Phone |
617-258-5219
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Organization name |
Whitehead Institute for Biomedical Research
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Lab |
Young Lab
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Street address |
9 Cambridge Center
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City |
Cambridge |
State/province |
MA |
ZIP/Postal code |
02142 |
Country |
USA |
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Platforms (1) |
GPL9115 |
Illumina Genome Analyzer II (Homo sapiens) |
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Samples (10)
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Relations |
SRA |
SRP005406 |
BioProject |
PRJNA135475 |
Supplementary file |
Size |
Download |
File type/resource |
GSE26014_RAW.tar |
166.0 Mb |
(http)(custom) |
TAR (of TXT, WIG) |
GSE26014_readme.txt |
960 b |
(ftp)(http) |
TXT |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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