Omics · study · 2026
Single-cell RNA sequencing reveals that the immunosuppression in landscape induced by chronic stress in colorectal cancer
Listed in NCBI GEO
The high prevalence of depressive disorders in individuals with cancer and their contribution to tumour progression is a topic that is gradually gaining attention.
Description
Recent evidence has shown that there are prominent connections between immune gene variants and mood disorders. The ho_x0002_meostasis of the tumour immune microenvironment (TIME) and the infiltration and activation of immune cells play a very important role in the antitumour effect.
In this study, we established a compound mouse model with chronic unpredictable mild stress (CUMS) and orthotopic colorectal cancer to simulate colorectal cancer (CRC) patients with depression. Using 10✕Genomics single_x0002_cell transcriptome sequencing technology, we profiled nearly 30,000 cells from tumour samples of 8 mice from the control and CUMS groups, revealed that immune cells in tumours under a chronic stress state trend toward a more immunosuppressive and exhaustive status, and described the crosstalk between the overall inflammatory environment and immunosuppressive landscape to provide mechanistic information or efficacious strategies for immune-oncology treatments in CRC with depressive disorders.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE275nnn/GSE275178 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE275178 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1149730 ncbi.nlm.nih.gov/bioproject/PRJNA1149730 ↗
project · from NCBI GEO
- PubMed 41798904 pubmed.ncbi.nlm.nih.gov/41798904 ↗
publication · 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 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE275178 | 15 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 (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 |