Omics · study · 2026
XCR1+ and CD11b+ migratory dendritic cells cooperate for the crosspriming of intratumoral CD8+ T cells with a tissue-resident memory phenotype [RNA-Seq]
Listed in NCBI GEO
The composition and diversity of tumor-infiltrating CD8+ T cell populations have important consequences on the development of anti-tumor immunity.
Description
In a murine model of lung cancer, we have addressed the role of dendritic cell subsets on the generation of various types of tumor-infiltrating CD8+ T cells. We show that CD44+PD1- effector and PD1+TIM3+ exhausted, tumor-infiltrating CD8+ T cells require XCR1+ DC1s but not IRF4-dependent CD11b+ DC2s.
By contrast, CD103+CD69+ TRM-like, tumor-infiltrating CD8+ T cells require both DC1s and DC2s. The same requirement is found in tumor-draining lymph nodes where we identify CD103+ TRM-like precursors that are dependent on both XCR1+ DC1s and CD11b+, migratory DC2s. Mechanistically, we evidence that both types of migratory DCs cooperate.
Read the rest (1 more)
Mild TCR triggering by low MHCI-peptide density at the surface of cross-presenting migratory DC2s and low IL-12 support TGFb-dependent TRM specification in lymph nodes. High TCR triggering and high MHCI-peptide density at the surface of cross-presenting migratory DC1s and high IL-12 support proliferative expansion and CXCR6 acquisition. Altogether, these findings highlight the induction of intratumoral TRM-like cells under the collective aegis of multiple DCs subsets within tumor-draining lymph nodes reconciliating TRM phenotype instruction with proliferative expansion.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE337nnn/GSE337601 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE337601 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1490476 ncbi.nlm.nih.gov/bioproject/PRJNA1490476 ↗
project · 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 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE337601 | 13 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 (65%) |
| 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 |