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Series GSE224590 Query DataSets for GSE224590
Status Public on Nov 29, 2023
Title An Erratic Gene Expression Signature in Primary Hematopoietic Stem Cells: Implications for Interpretations of Aging
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Other
Summary A decline in hematopoietic stem cell (HSC) function is believed to underlie hematological shortcomings with age, but a comprehensive molecular understanding of these changes is currently lacking. Here, we provide evidence that a transcriptional signature reported in several prior studies on HSC aging is linked to stress-induced changes in gene expression rather than aging. Our findings have strong implications for the design and interpretation of HSC aging studies.
 
Overall design Single cell RNA-sequencing was performed to determine the immediate early response signature among hematopoietic stem and progenitor cells in response to different cell isolation protocols. The technology was coupled to cell hashing in order to measure the data simultaneously in samples treated with different conditions.
Web link https://www.nature.com/articles/s43587-023-00558-z
 
Contributor(s) Konturek-Ciesla A, Olofzon R, Kharazi S, Bryder D
Citation(s) 38228925
Submission date Feb 06, 2023
Last update date Feb 28, 2024
Contact name Anna Konturek-Ciesla
E-mail(s) anna.konturek-ciesla@med.lu.se
Organization name Lund University
Department Department of Molecular Hematology
Lab David Bryder lab
Street address Box 188
City Lund
ZIP/Postal code 22100
Country Sweden
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (2)
GSM7026709 HSPCs, mRNA-derived cDNA
GSM7026710 HSPCs, HTO-derived cDNA
Relations
BioProject PRJNA931929

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
GSE224590_RAW.tar 1.4 Gb (http)(custom) TAR (of CSV, H5, RDS, TAR)
SRA Run SelectorHelp
Processed data provided as supplementary file
Raw data are available in SRA

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