Omics · study · 2026
Single-cell RNA sequencing reveals how myeloid cell reprogramming by commensal Prevotella enhances defense against Streptococcus pneumoniae lung infection
Listed in NCBI GEO
Streptococcus pneumoniae expresses a suite of virulence factors that modulate the innate immune response, delaying effective clearance.
Description
However, immune interactions with other bacteria influence this dynamic. Depletion of respiratory tract anaerobes including Prevotella is associated with increased mortality from pneumonia, an effect that can be replicated by pre-exposure to Prevotella melaninogenica in mice.
Here, we demonstrate using single-cell RNA sequencing that P. melaninogenica shifts myeloid cell transcriptional profiles during pneumococcal infection from interferon-dominant to pro-phagocytic, correlating with increased S. pneumoniae phagocytosis and clearance from the lung. In neutrophils, improved antibacterial defense was dependent on TNF signaling through TNFR2. Prevotella-enhanced defense also required the recruitment of monocyte-derived macrophages, with selective enrichment of a Cxcl3+ population which differed from the C1qa+ population dominant during S. pneumoniae infection in unprimed mice.
Read the rest (1 more)
This work reveals an optimized innate immune defense program which may contribute to natural infection resistance mediated by respiratory tract commensal-host interactions.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE313nnn/GSE313404 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE313404 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1379440 ncbi.nlm.nih.gov/bioproject/PRJNA1379440 ↗
project · from NCBI GEO
- PubMed 42395429 pubmed.ncbi.nlm.nih.gov/42395429 ↗
publication · 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 | GSE313404 | 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: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 |