The microRNA-212/132 cluster regulates hematopoietic stem cell maintenance and survival with age by buffering FOXO3 expression
Transcriptomics Dataset
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General Information
AccessionGSE66352
TitleThe microRNA-212/132 cluster regulates hematopoietic stem cell maintenance and survival with age by buffering FOXO3 expression
DescriptionMicroRNAs are critical post-transcriptional regulators of hematopoietic cell-fate decisions, though little remains known about their role in aging hematopoietic stem cells (HSCs). The microRNA-212/132 cluster (miR-212/132) is enriched in HSCs and is up-regulated during hematopoietic aging. Both over-expression and deletion of microRNAs in this cluster leads to inappropriate hematopoiesis with age. Enforced expression of miR-132 in the bone marrow compartment of mice led to rapid HSC cycling followed by their depletion. A genetic deletion of the miR-212/132 cluster in mice resulted in HSCs that had altered cycling, function, and survival in response to growth factor starvation. We found that miR-212/132 exerts its effect on aging HSCs by targeting the transcription factor FOXO3, a known aging associated gene. Our data demonstrates that miR-212/132 plays a role in maintaining balanced hematopoietic output by buffering FOXO3 expression. We have thus identified a novel target that may play a role in age-related hematopoietic defects.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE66352
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 GSE66352
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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