Combined heterozygous loss of Ebf1 and Pax5 allows for T-lineage conversion of B-cell progenitors
Transcriptomics Dataset
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General Information
AccessionGSE69227
TitleCombined heterozygous loss of Ebf1 and Pax5 allows for T-lineage conversion of B-cell progenitors
DescriptionIn order to investigate how transcription factor dose impacts B-lymphocyte development, we generated mice carrying transheterozygous mutations in the Pax5 and Ebf1 genes. While combined reduction of Pax5 and Ebf1 dose had minimal impact on the development of the earliest CD19+ progenitors, these cells displayed an increased T-cell potential in vivo and in vitro. Alteration in lineage fate depended on a Notch1 mediated conversion process while no signs of de-differentiation could be detected. The differences in functional response to Notch signaling in Wt and Pax5+/-Ebf1+/- pro-B cells was reflected in the transcriptional response because even though cells of both genotypes responded by the generation of intracellular Notch1 and activation of a set of target genes, only the Pax5+/-Ebf1+/- pro-B cells down-regulated genes central for the preservation of stable B-cell identity. This report stresses the importance of transcription factor dose in lymphocyte development and suggests that Pax5 and Ebf1 collaborate to modulate the transcriptional response to Notch signaling after the generation of activated intracellular Notch1. This provides an insight to how transcription factors like Ebf1 and Pax5 preserve cellular identity during differentiation.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE69227
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 GSE69227
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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