Omics · study · 2026
Viscoelasticity reprograms T cell metabolism for TCR-T cell manufacturing and therapy
Listed in NCBI GEO
Adoptive T cell receptor (TCR)–based immunotherapy offers a powerful strategy to target solid tumors through recognition of either cell surface antigens or intracellular tumor antigens.
Description
However, the ex vivo generation of metabolically fit, durable T cells capable of sustained function in the immunosuppressive solid tumor microenvironment remains a major bottleneck. While dendritic cell–based antigen presentation can provide physiological activation signals, its clinical translation is limited by donor variability, poor scalability, uncontrolled paracrine signaling, and the risk of T cell exhaustion.
Here we develop synthetic viscoelastic activating cells (SynVAC)—a class of artificial antigen-presenting cells (aAPCs) whose stress-relaxation kinetics are independently and precisely tuned while maintaining constant stiffness and defined densities of peptide–major histocompatibility complex (pMHC) and co-stimulatory ligands. SynVAC-pMHC offers a well-defined and scalable platform that outperforms monocyte-derived dendritic cells (moDCs) to enrich antigen-specific CD8+ T cells.
Read the rest (1 more)
Particularly, fast-relaxing SynVAC-pMHC amplifies TCR signaling and mTOR activity, drives mitochondrial remodeling, and programs antigen-specific T cells toward an energetically favorable metabolic state with enhanced stem-like properties. Furthermore, TCR-T cells expanded using fast-relaxing SynVAC-pMHC exhibit superior persistence and durable antitumor activity in melanoma and ovarian cancer models. Together, these results establish cell-mimetic viscoelasticity as a key biophysical cue governing T cell metabolism and differentiation, and provide a scalable, fully synthetic strategy to manufacture potent TCR-T cells for solid tumor therapy.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE324nnn/GSE324103 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE324103 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1433438 ncbi.nlm.nih.gov/bioproject/PRJNA1433438 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE324103 | 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[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 |