Transcriptomics

Dataset Information

0

Combining targeting of the cancer-metabolome with cancer-associated stress antigens impacts transcriptomic heterogeneity, dynamics, and efficacy of engineered T-cells


ABSTRACT: The majority of cancers cannot be efficiently targeted with engineered T cell strategies. In this line, we explored how and whether γδTCR-mediated cancer metabolome targeting can be combined with the attack of cancer-associated stress antigens, like NKG2D-ligands, in order to overcome limited targeting of many tumors, and at the same time skew heterogeneous transcriptomic signatures of engineered immune cells towards more active, and less exhausted phenotypes.Single cell transcriptomic analysis revealed that only NKG2D-4-1BBCD28TM chimera reprogrammed TEGs significantly, by skewing CD4+ TEG heterogeneity towards more adhesive, proliferative, cytotoxic, and less exhausted transcriptional signatures.

ORGANISM(S): Homo sapiens

PROVIDER: GSE244053 | GEO | 2023/09/27

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2013-07-09 | E-GEOD-45530 | biostudies-arrayexpress
2021-08-16 | GSE179408 | GEO
2005-06-01 | E-MEXP-285 | biostudies-arrayexpress
2024-10-01 | GSE249511 | GEO
2021-08-13 | GSE165612 | GEO
2013-07-09 | GSE45530 | GEO
2020-02-16 | GSE129018 | GEO
| PRJNA1021170 | ENA
2023-07-18 | GSE160132 | GEO
2018-04-05 | GSE111322 | GEO