Omics · study · 2026
Single-cell RNA sequencing of Ms4a3-lineage myeloid cells in mouse brain after transient middle cerebral artery occlusion
Listed in NCBI GEO
Ischemic stroke triggers a robust neuroinflammatory response characterized by the activation and infiltration of myeloid cells, including resident microglia and monocyte-derived macrophages.
Description
However, the lineage origin and temporal transcriptional dynamics of these myeloid populations remain incompletely understood.In this study, we performed single-cell RNA sequencing (scRNA-seq) on brain immune cells isolated from Ms4a3creERT2-Ai14 reporter mice, in which circulating monocyte-derived cells are permanently labeled following tamoxifen induction.
Transient middle cerebral artery occlusion (tMCAO) or sham surgery was performed, and brain tissues were collected at 1 day and 3 days post-ischemia.Using single-cell analysis platform, we generated high-resolution transcriptomic profiles of brain-resident and infiltrating immune populations. Unsupervised clustering revealed distinct immune and non-immune cell types, including microglia, monocyte-derived macrophages, neutrophils, astrocytes, endothelial cells, and neurons.
Read the rest (1 more)
Comparative analysis across time points identified dynamic transcriptional changes in myeloid cell states following ischemic injury.This dataset provides a comprehensive single-cell resource to investigate the lineage tracing, heterogeneity, and temporal remodeling of brain myeloid cells in ischemic stroke.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE319nnn/GSE319066 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE319066 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1422043 ncbi.nlm.nih.gov/bioproject/PRJNA1422043 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- 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 | GSE319066 | 14 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: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 |