Omics · study · 2026
Single-Cell RNA Sequencing Reveals Commensal Microbes Amplify Sex-Specific Immune Programming in the Murine Lung
Listed in NCBI GEO
Sex-based differences in respiratory disease outcomes are well recognized.
Description
However, the underlying immunological mechanisms driving this dimorphism remain incompletely understood. While sex hormones influence immune cell development and function, the role of commensal microbes in shaping sex-specific lung immunity has not been explored.
Here, we used single-cell RNA sequencing (scRNAseq) and flow cytometry to profile lung immune cells in male and female mice housed under specific pathogen-free (SPF) or germ-free (GF) conditions. Under SPF conditions, males exhibited a striking myeloid bias, with increased monocytes and macrophages, along with broad upregulation of inflammatory mediators, including S100a8, S100a9, and Il1b, across multiple cell types, and enrichment of TNF and interferon (IFN) signaling pathways.
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In contrast, females displayed lymphocyte-skewed profiles, with higher frequencies of T cells and natural killer (NK) cells. Interestingly, these sex-based differences in immune composition and inflammatory programs were largely absent in GF mice, indicating that microbial exposure amplifies baseline immunological dimorphism between males and females. Notably, select sex-associated features, including female-biased NK cell enrichment, persisted regardless of microbial status, suggesting intrinsic, microbiota-independent programming.
Together, these findings suggest that commensal microbes modulate sex-specific lung immunity by amplifying pre-existing intrinsic differences, highlighting the intersection of extrinsic (microbial) and intrinsic (sex-linked) factors in shaping baseline mucosal immunity.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE316nnn/GSE316448 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE316448 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1402924 ncbi.nlm.nih.gov/bioproject/PRJNA1402924 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Disease 75% · Genetics 70% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE316448 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3105 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| 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 |