Genome-wide analysis of Musashi-2 targets reveals novel functions in governing epithelial cell migration
Transcriptomics Dataset
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General Information
AccessionGSE71333
TitleGenome-wide analysis of Musashi-2 targets reveals novel functions in governing epithelial cell migration
DescriptionThe Musashi-2 (Msi2) RNA-binding protein maintains stem cell self-renewal and promotes oncogenesis by enhancing cell proliferation in hematopoietic and gastrointestinal tissues. However, it is unclear how Msi2 recognizes and regulates mRNA targets in vivo and whether Msi2 primarily controls cell growth in all cell types. Here we identified Msi2 targets with HITSCLIP and revealed that Msi2 primarily recognizes mRNA 3UTRs at sites enriched in multiple copies of UAG motifs in epithelial progenitor cells. RNA-seq and ribosome profiling demonstrated that Msi2 promotes targeted mRNA decay without affecting translation efficiency. Unexpectedly, the most prominent Msi2 targets identified are key regulators that govern cell motility with a high enrichment in focal adhesion and extracellular matrix-receptor interaction, in addition to regulators of cell growth and survival. Loss of Msi2 stimulates epithelial cellmigration, increases the number of focal adhesion and also compromises cell growth. These findings provide new insights into the molecular mechanisms of Msi2s recognition and repression of targets and uncover a key function of Msi2 in restricting epithelial cell migration.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71333
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 GSE71333
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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