Omics · study · 2026
Multiome-based identification of HSC subtype markers
Listed in NCBI GEO
Individual haematopoietic stem cells (HSCs) display heterogeneous capacities to reconstitute the major blood lineages, including platelets, erythrocytes, myeloid cells, B cells, and T cells.
Description
Single-cell transplantation assays have revealed that the HSC compartment contains lineage-restricted subtypes capable of reconstituting only specific lineages, such as platelets, alongside true multi-lineage HSCs. The proportion of these lineage-restricted HSCs increases with age, contributing to declined immunity and potentially to clonal haematopoiesis.
To date, their identification and isolation have primarily relied on transgenic reporters, such as the Vwf-EGFP mouse line, which offer only moderate accuracy. In this study, we profiled highly purified adult mouse long-term HSCs (LT-HSCs; LSK CD48⁻ CD150⁺ CD34⁻) using the DOGMAseq platform, which enables simultaneous measurement of transcriptome (RNA-seq), chromatin accessibility (ATAC-seq), and surface protein expression (CITE-seq).
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We subsequently identified candidate clusters corresponding to platelet-biased and multi-lineage HSCs, and developed a fluorescence-activated cell sorting (FACS) strategy to enrich these populations. This strategy employs four surface markers detectable with commercially available antibodies and achieves higher enrichment specificity than the Vwf-EGFP reporter.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE306nnn/GSE306075 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE306075 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1309064 ncbi.nlm.nih.gov/bioproject/PRJNA1309064 ↗
project · from NCBI GEO
- PubMed 42276065 pubmed.ncbi.nlm.nih.gov/42276065 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Genome binding/occupancy profiling by high throughput sequencing · Mus musculus · Other
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE306075 | 12 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[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].geo_series_type:other | 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 |