Omics · study · 2026
Single Cell Transcriptional Signatures of Microglia and Monocytes after ICH
Listed in NCBI GEO
CNS-resident microglia and recruited myeloid cells populate the haematoma in intracerebral haemorrhage (ICH), but the contribution of these cell populations to injury and repair has been controversial.
Description
To better characterise myeloid cell changes over time, we employed single-cell RNA sequencing to generate a unique paired dataset of live haematoma and peripheral blood samples from 10 ICH patients. This work presents a temporal atlas of ICH myeloid populations and identifies population-specific in-situ transcriptional drivers.
In addition to distinct populations of activated microglia and TNF-low microglia, we found a unique and highly activated population of CD14+ monocytes in the haematoma. Perturbation analysis comparing haematoma-associated monocytes to shared populations in blood and haematomas identified TNF signalling as the primary driver of their activation. Employing a custom temporal trajectory analysis based on the embeddings of a single-cell foundation model, we found that this TNF response in monocytes was transient, peaking early after haemorrhage and decreasing over the ensuing 48 hours.
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Our analysis further identified a transient population of highly activated microglia as the likely source of TNF during the acute stage of ICH. Acute TNF signalling in CD14+ monocytes associated with better adjusted outcomes both in our and external cohorts. Overall, our results suggest that acute TNF signalling between transient populations of activated microglia and unique haematoma-associated monocytes could potentially be beneficial in recovery after ICH.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE333nnn/GSE333172 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE333172 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1470264 ncbi.nlm.nih.gov/bioproject/PRJNA1470264 ↗
project · from NCBI GEO
- PubMed 42454753 pubmed.ncbi.nlm.nih.gov/42454753 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- 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 | GSE333172 | 13 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:9606 | 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 |