Transcriptomics

Dataset Information

0

RNA sequencing of slow-and fast-cycling epidermal stem cells vs hair follicle stem cells in young vs old mice


ABSTRACT: This study was performed to compare transcriptomic changes in the heterogeneous mouse skin epidermal stem cells and hair follicle stem cells (HFSC) populations during chronological aging. Slow-cycling stem cells (label retaining cells, LRCs), fast-cycling stem cells (non-label retaining cells, nLRCs) and hair follicle stem cells express unique gene signatures in young age (2 months old) and have independent stem cell identities. The changes in aging stem cells lineage identities have been a topic of discussion and here we examined if distinct stem cells cycling speed affects their aging process by comparing the transcriptomes of slow-and fast-cycling epidermal stem cells. Our data indicates the loss of unique stem cell identities in aging slow or fast-cycling epidermal stem cells or HFSC at 2 years of age with intermediary effects seen at 1.5 year old.

ORGANISM(S): Mus musculus

PROVIDER: GSE185087 | GEO | 2022/10/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-10-01 | GSE185086 | GEO
2015-03-24 | ST000248 | MetabolomicsWorkbench
| EGAD00001004380 | EGA
2014-02-12 | E-GEOD-53074 | biostudies-arrayexpress
2015-08-05 | E-GEOD-71693 | biostudies-arrayexpress
| PRJNA767627 | ENA
2022-10-17 | GSE204671 | GEO
2011-08-02 | GSE31094 | GEO
2011-08-02 | GSE31093 | GEO
2015-12-01 | GSE72863 | GEO