Omics · study · 2026
A single-cell transcriptomic atlas of rhesus macaque hematopoiesis reveals age-related myeloid bias and differentiation changes
Listed in NCBI GEO
Aging is accompanied by profound functional declines in the hematopoietic system, including diminished regenerative capacity and a skewing toward the myeloid lineage.
Description
While murine models have provided critical insights into hematopoietic stem cell (HSC) aging, the evolutionary distance to humans limits their translational applicability. Non-human primates, such as rhesus macaques, offer a highly relevant model, yet a comprehensive single-cell transcriptomic map of their aging hematopoietic system has been lacking.
Here, we present a high-resolution single-cell RNA sequencing atlas of rhesus macaque hematopoiesis, profiling whole bone marrow, peripheral blood, and CD34-enriched progenitor cells from young and late-middle-aged cohorts. Our analysis delineates the transcriptional landscape of macaque hematopoiesis and identifies robust surface markers for prospective isolation of progenitor subpopulations. We uncover distinct, lineage-specific aging signatures, with the most profound transcriptional alterations occurring in multipotent progenitors and classical monocytes.
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Pseudotime and RNA velocity analyses reveal that aged HSCs reside in a more advanced state of differentiation with altered kinetics, providing a molecular basis for the observed age-related myeloid bias. Furthermore, cross-species integration with healthy human bone marrow data demonstrates profound transcriptional conservation of the stem and progenitor compartments between R. macaques and humans, with minimal species-specific divergence.
These findings establish the rhesus macaque as a highly faithful surrogate for human hematopoietic aging and provide a critical resource for developing targeted interventions to rejuvenate the aging blood system.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE329nnn/GSE329536 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE329536 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1459447 ncbi.nlm.nih.gov/bioproject/PRJNA1459447 ↗
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 · Macaca mulatta
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE329536 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| 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[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9544 | 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 |