Transcriptomics

Dataset Information

0

Joint single-cell transcriptomics and epigenomics analysis reveal key regulators of CAR T cell stemness and antitumor immunity


ABSTRACT: In this study, we revealed the molecular network governing the differentiation of CAR T cells into transcriptionally and epigenetically distinct subsets. Using two mouse cancer models with different sensitivities to CAR T-cell therapy, we showed that CD8+ CAR T cells transitioned from the stem-like to effector-like subset in B-cell ALL but developed into exhausted T cells in the solid tumor. By simultaneously profiling transcriptomic and epigenomic analyses in single cells, we demonstrated that lineage-defining TFs were often controlled by exceptionally high numbers of cis-regulatory elements and regulated distinct chromatin states foreshadowing transcriptional changes during T cell differentiation. Different CAR T-cell subsets were governed by distinct gene regulatory networks with TFs as hubs. We showed that FOXP1 was a hub TF in the stem-like network and promoted the antitumor response and stemness of CAR T cells while limiting their transition to the effector-like subset. In contrast, KLF2, a hub TF in the effector-like network, controlled the lineage choice between effector-like and exhausted subsets by driving the effector program and suppressing the exhaustion program.

ORGANISM(S): Mus musculus

PROVIDER: GSE202543 | GEO | 2023/10/09

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2010-12-20 | E-GEOD-26083 | biostudies-arrayexpress
2017-03-13 | GSE89037 | GEO
2010-12-20 | GSE26083 | GEO
2021-05-22 | GSE149810 | GEO
2021-05-22 | GSE149752 | GEO
2021-06-02 | GSE149796 | GEO
2024-08-04 | GSE254807 | GEO
2024-08-04 | GSE254808 | GEO
2023-07-02 | PXD035484 | Pride
2024-04-15 | GSE263718 | GEO