Muscleblind-like proteins regulate embryonic stem cell-specific alternative splicing and reprogramming II
Transcriptomics Dataset
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General Information
AccessionGSE45504
TitleMuscleblind-like proteins regulate embryonic stem cell-specific alternative splicing and reprogramming II
DescriptionPrevious investigations of the core gene regulatory circuitry that controls embryonic stem cell (ESC) pluripotency have largely focused on the roles of transcription, chromatin and non- coding RNA regulators. Alternative splicing (AS) represents a widely acting mode of gene regulation, yet its role in the regulation of ESC pluripotency and differentiation is poorly understood. Here, we identify the Muscleblind-like RNA binding proteins, MBNL1 and MBNL2, as conserved and direct negative regulators of a large program of AS events that are differentially regulated between ESCs and other cell types. Knockdown of MBNL proteins in differentiated cells causes switching to an ESC-like AS pattern for at least half of these AS events. Among the events is an ESC-specific AS switch in the forkhead family transcription factor FOXP1 that controls pluripotency. Consistent with a central and negative regulatory role for MBNL proteins in pluripotency, their knockdown significantly enhances the expression of key pluripotency genes and the formation of induced pluripotent stem cells (iPSCs) during somatic cell reprogramming.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45504
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

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE45504
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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