Omics · study · 2026
Multimodal profiling of Her2/neu-specific TCR-T cells reveals clonotype-dependent activation programs underlying differential cytotoxic efficacy
Listed in NCBI GEO
Adoptive T cell therapy targeting tumor-associated antigens offers a promising avenue for cancer immunotherapy, yet the mechanisms underlying functional heterogeneity among T cell receptors (TCR) recognizing the same antigen remain poorly understood.
Description
Here, we comprehensively profile three Her2/neu-specific TCR constructs using integrated multimodal analysis that combines cytotoxicity assays, single-cell multiomics, bulk transcriptomics, cytokine profiling, and in vivo tumor modeling.
Despite identical antigen specificity, the constructs exhibit a functional hierarchy: Construct #3 displays potent cytotoxicity in vitro and potent tumor regression in vivo, whereas Constructs #1 and #2 were less effective. Single-cell proteotranscriptomic analysis shows that tumor cell encounter drives activation of cytotoxic CD8⁺ T effector cells and transdifferentiation of NKT cells into APC-like cells. Interactomics also revealed high communication probability between APC-like NKT cells and CD4⁺ T cells, potentially forming a cooperative activation network that sustains effector function.
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Bulk transcriptomic and secretomic profiling showed that Construct #3 couples cytolytic gene expression with the secretion of anti-tumor cytokines and effector molecules. Together, these findings establish a mechanistic link between anti-Her2/neu TCR-driven transcriptional programming and therapeutic efficacy, illustrating how multi-omic approaches can inform the rational design of potent TCR therapies for solid tumors.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE313nnn/GSE313648 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE313648 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1380457 ncbi.nlm.nih.gov/bioproject/PRJNA1380457 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens · Other
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE313648 | 14 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[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| 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 |