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Series GSE47362 Query DataSets for GSE47362
Status Public on Aug 13, 2013
Title Epigenetic determinants of muscle stem cell quiescence and chronological aging (ChIP-seq)
Organism Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary Skeletal muscle is a post-mitotic tissue that exhibits an extremely low turnover in the absence of disease or injury. At the same time, muscle possesses remarkable regenerative capacity mediated by satellite cells (SCs) that reside in close association with individual myofibers, underneath the fiber’s basal lamina. Consistent with the low turnover of the muscle, SCs in adult animals are mitotically quiescent and therefore provide an excellent model to study stem cell quiescence. As an organism grows older, the resident stem cells are exposed to a deteriorating environment and experience chronological aging. In stem cells with high turnover, the effects of chronological aging are superimposed upon the effects of the replicative aging that results from DNA replication and cell division. On the contrary, SCs experience minimal replicative aging due to their low turnover. They are thus a good model to study the consequence of chronological aging of quiescent stem cells. We have developed an isolation protocol to selectively enrich SCs by FACS from adult mice and applied the ChIP-seq technology to obtain H3K4me3, H3K27me3 and H3K36me3 from quiescent and activated SCs from young mice and from quiescent SCs from old mice. Our analysis aims to understand the chromatin features underlying stem cell properties such as quiecence and lineage-potency, and to understand how the chromatin structure of a quiescent stem cell pouplation changes with age.
 
Overall design VCAM+/CD31-/CD45-/Sca1- quiescent satellite cells (QSCs) were isolated by FACS from hindlimb muscle of uninjured 2-3- or 22-24-month old mice and processed for ChIP-seq.
 
Contributor(s) Liu L, Rando T
Citation(s) 23810552
Submission date May 24, 2013
Last update date May 15, 2019
Contact name Ling Liu
E-mail(s) lingliu@stanford.edu
Organization name Stanford University
Street address 300 Pasteur Drive
City Palo Alto
ZIP/Postal code 94306
Country USA
 
Platforms (1)
GPL11002 Illumina Genome Analyzer IIx (Mus musculus)
Samples (11)
GSM1148110 QSC_y_H3K4me3_ChIPSeq
GSM1148111 QSC_y_H3K27me3_ChIPSeq
GSM1148112 QSC_y_H3K36me3_ChIPSeq
Relations
BioProject PRJNA205299
SRA SRP023153

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Supplementary file Size Download File type/resource
GSE47362_RAW.tar 2.9 Mb (http)(custom) TAR (of BED)
SRA Run SelectorHelp
Processed data provided as supplementary file
Raw data are available in SRA

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