Omics · study · 2026
Single-cell RNA sequencing reveals endothelial STING-dependent immune remodeling in murine metabolic dysfunction-associated steatohepatitis
Listed in NCBI GEO
Liver sinusoidal endothelial cells (LSECs) regulate nutrient flux and immune surveillance within the hepatic niche.
Description
Here, we investigate how endothelial-intrinsic cGAS-STING signaling integrates metabolic stress signals to reshape adaptive immune responses in metabolic dysfunction-associated steatohepatitis (MASH) at single-cell resolution. We performed single-cell RNA sequencing on liver tissues from endothelial cell-specific Sting knockout mice (Stingfl/fl Cdh5-Cre+) and littermate controls (Stingfl/fl Cdh5-Cre-) subjected to a western diet combined with CCl4 (WD-CCl4) for 12 weeks.
Unbiased cell-type annotation revealed broad immune remodeling following LSEC-STING deletion. Among CD4+ T cells, LSEC-STING deletion resulted in a marked reduction of pathological Th17 cells, accompanied by expansion of regulatory T cells (Tregs), leading to a significantly increased Treg/Th17 ratio. LSEC-STING deletion also reduced exhausted CD8+ T cells while increasing effector CD8+ T cells.
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Mechanistically, LSEC-intrinsic STING signaling represses BMP4 transcription through NF-kB-mediated competition with AP-1, disrupting a tolerance-supporting angiocrine program. These findings identify endothelial STING as a vascular immunometabolic checkpoint that links chronic metabolic stress to adaptive immune remodeling in MASH.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE335nnn/GSE335775 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE335775 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1479427 ncbi.nlm.nih.gov/bioproject/PRJNA1479427 ↗
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 | GSE335775 | 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 |