Omics · study · 2026
Transcriptional and functional architecture of the whole neutrophil compartment [RNA-seq sorted_cells]
Listed in NCBI GEO
In this study, we present NeuMAP, a comprehensive single-cell analysis of neutrophils spanning over 40 anatomical, physiological, and pathological contexts in mice.
Description
NeuMAP confirms and expands previous models of neutrophil diversity, revealing the organization of neutrophils into distinct functional hubs under both normal and pathological conditions. Furthermore, we delineate prototypical trajectories as key organizers of granulopoiesis and examine neutrophil dynamics along these trajectories during acute inflammation and cancer.
Integrating insights from fate mapping, mutant mouse models, and in vitro experiments, we identified immunological signals guiding neutrophil through these typical trajectories of granulopoiesis, that balance immune protection, tissue homeostasis and repair. Specifically, we identified IFNB, GMCSF, and TGFB as drivers of pro-inflammatory, cancer-associated, and mature neutrophil states, respectively and found that the transcription factor JUNB drives the angiogenic and immunosuppressive function of neutrophils.
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Additionally, we uncover conserved transcriptional signatures for human neutrophil states, validate their prognostic significance in cancer patients, and introduce a proof-of-concept strategy for exploring the diagnostic potential of neutrophil functional diversity across various diseases using single-cell transcriptomics of blood neutrophils. Our study provides a model that delineates the global architecture of the neutrophil compartment in mammals, and stablishes a robust framework for further exploration of neutrophil biology.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE301nnn/GSE301186 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE301186 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1284250 ncbi.nlm.nih.gov/bioproject/PRJNA1284250 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE301186 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | 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[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 |