Omics · study · 2026
Hematopoietic stem cell sex-dimorphism intensifies aging phenotypes and downstream hematopoiesis
Listed in NCBI GEO
Hematopoietic stem cells (HSCs) sustain blood and immune production throughout life and are central to aging and disease.
Description
Yet, most studies of HSC aging rely on male mice, leaving sex-specific trajectories poorly defined. We profiled HSC aging across the lifespan in male and female mice using multi-omic analyses and over 820 animals.
Two patterns emerged. In males, HSCs continue to remodel after mid-life, showing progressive accumulation of CD150^high myeloid-biased cells, widespread transcriptional shifts, and chromatin reprogramming. In females, HSC changes plateau earlier but exhibit greater inter-individual variability.
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Integration of RNA-seq, ATAC-seq, and single-cell data implies GATA, RUNX, and Sema4a as key factors. Surprisingly, transplantation studies revealed that many sex-dependent phenotypes are overridden by the host environment. These findings define distinct, sex-specific trajectories of hematopoietic aging and provide a comprehensive resource to guide mechanistic studies and inform sex-tailored therapeutic strategies.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE215nnn/GSE215923 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE215923 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA891294 ncbi.nlm.nih.gov/bioproject/PRJNA891294 ↗
project · from NCBI GEO
- PubMed 42618695 pubmed.ncbi.nlm.nih.gov/42618695 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Genome binding/occupancy profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Disease 75% · RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE215923 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |