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Series GSE185087 Query DataSets for GSE185087
Status Public on Oct 01, 2022
Title RNA sequencing of slow-and fast-cycling epidermal stem cells vs hair follicle stem cells in young vs old mice
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary 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.
 
Overall design mRNA expression analysis from slow-and fast-cycling epidermal stem cells and hair follicle stem cells at 2 months old, 1.5 year old and 2 years old.
 
Contributor(s) Changarathil G, Raja E, Sada A, Yanagisawa H
Citation(s) 36278510
Submission date Sep 30, 2021
Last update date Jan 05, 2023
Contact name Erna Raja
Organization name University of Tsukuba
Department TARA center
Lab Yanagisawa
Street address 1-1-1 Tennodai
City Tsukuba
ZIP/Postal code 305-8577
Country Japan
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (24)
GSM5605988 LRC 2m_1
GSM5605989 nLRC 2m_1
GSM5605990 HFSC 2m_1
Relations
BioProject PRJNA767627
SRA SRP339564

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE185087_H2BGFP_supplementary.xlsx 38.1 Mb (ftp)(http) XLSX
GSE185087_RAW.tar 10.7 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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