GSE48085 | Datasets2Tools

Genome-scale analysis in blood progenitor and mast cells reveals how lineage-affiliated transcription factors control distinct regulatory programs [ChIP-Seq/RNA-Seq Experiments]

Transcriptomics Dataset

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General Information

Accession	GSE48085
Title	Genome-scale analysis in blood progenitor and mast cells reveals how lineage-affiliated transcription factors control distinct regulatory programs [ChIP-Seq/RNA-Seq Experiments]
Description	Despite major advances in the generation of genome-wide binding maps, the mechanisms by which transcription factors (TFs) regulate cell type identity have remained largely obscure. Through comparative analysis of 10 key haematopoietic TFs in both mast cells and blood progenitors, we demonstrate that the largely cell-type specific binding profiles are not opportunistic, but instead contribute to cell-type specific transcriptional control, because (1) mathematical modelling of differential binding of shared TFs can explain differential gene expression, (2) cell-type specific binding is largely mediated through consensus binding sites, and (3) knock-down of blood stem cell regulators Gata2 and Erg in mast cells reveals mast cell specific genes as direct targets. Finally we show that the known mast cell regulators Mitf and c-Fos likely contribute to the global reorganisation of TF binding profiles. Taken together therefore, our study elucidates how key regulatory TFs contribute to transcriptional programmes in several distinct mammalian cell types.
Landing Page	https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48085
Repository	Gene 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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