Omics · study · 2026
Single-nucleus and bulk transcriptomic atlas of human visceral adipose tissue across metabolic disease states identifies THBS1 as a fibro-inflammatory driver
Listed in NCBI GEO
The cellular complexity of adipose tissue plays a critical role in the pathogenesis of metabolic disease; however, mechanisms underlying adipose dysfunction remain poorly understood.
Description
Here, we constructed a single-nucleus and bulk transcriptomic atlas of human visceral adipose tissues from an ethnically homogeneous cohort with defined metabolic states: lean with normal glucose tolerance, obesity, and obesity with type 2 diabetes.
Single-nucleus RNA sequencing (snRNA-seq) revealed a fibro-inflammatory subpopulation of adipose stem cells and adipocytes characterized by high THBS1 expression, which were enriched in individuals with obesity and obesity with type 2 diabetes compared to lean controls. Through complementary in vitro, ex vivo, and in vivo experiments, we demonstrated that THBS1 promoted adipose fibrosis and inflammation via macrophage-mediated TGFbeta activation, impairing adipogenesis and adipocyte function.
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Inhibition of THBS1 attenuated fibro-inflammatory features in metabolically dysfunctional adipose tissues. Collectively, this dataset provides a cellular atlas of human visceral adipose tissue across metabolic disease states and identifies THBS1 as a key pathogenic driver and potential therapeutic target.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE342nnn/GSE342773 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE342773 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1508875 ncbi.nlm.nih.gov/bioproject/PRJNA1508875 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Bioinformatics and computational biology 72% · Disease 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE342773 | 15 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:3102 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| 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 (65%) |
| concepts[organism].NCBITaxon:9606 | 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 |