Genome-wide Analysis of Transcriptional Regulators in Human Blood Stem/Progenitor Cells reveals a densely interconnected network of coding and non-coding genes.
Transcriptomics Dataset
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General Information
AccessionGSE45144
TitleGenome-wide Analysis of Transcriptional Regulators in Human Blood Stem/Progenitor Cells reveals a densely interconnected network of coding and non-coding genes.
DescriptionCombinatorial transcription factor (TF) interactions regulate hematopoietic stem cell formation, maintenance and differentiation, and are increasingly recognised as drivers of stem cell signatures in cancer. However, genome-wide combinatorial binding patterns for key regulators do not exist in primary human hematopoietic stem/progenitor cells (HSPCs) and have constrained analysis of the global architecture of the molecular circuits controlling these cells. Here we provide new high-resolution genome-wide binding maps of seven key TFs (FLI1, ERG, GATA2, RUNX1, SCL, LYL1 and LMO2) in human CD34+ HSPCs together with quantitative RNA and microRNA expression profiles. We catalogue binding of TFs at coding genes and microRNA promoters and report that combinatorial binding of all seven TFs is favoured and is associated with differential expression of genes and microRNA in HSPCs. We also uncover a hitherto unrecognized association between FLI1 and RUNX1 pairing in HSPCs, establish a correlation between the density of histone modifications, which mark active enhancers and the number of overlapping TFs at a peak and identify complex relationships between specific miRNAs and coding genes regulated by the heptad. Taken together, this study demonstrates that a heptad of TFs forms a dense auto-regulatory core in human HSPCs with binding of all seven TFs at tissue specific regulatory elements of heptad genes and collectively regulates miRNAs that in turn target components of the heptad and genes regulated by the heptad.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45144
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset
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Interactive heatmap visualization of RNA-seq dataset GSE45144
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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