Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

The Glioma-Infiltrating T Cell Receptor Repertoire


ABSTRACT: While immune signaling has emerged as a defining feature of the glioma microenvironment, local selection of responding T cells and their anti-tumor potential as a population are difficult to measure directly in patients. High-throughput sequencing of T cell receptor repertoires (TCRseq) provides a population-wide statistical description of how T cells respond to disease. Here, we define new immunophenotypes in glioma based on TCRseq and RNA-Seq of tumor tissue, non-neoplastic brain tissue, and peripheral blood from patients. Using information theory, we characterize antigen-driven selection in glioma and its relationship with the expression of distinct immune-functional pathways in the tumor microenvironment. Finally, we identify a strong relationship between usage of certain TCR in peripheral blood and the divergence of the infiltrating T cell population from the peripheral repertoire. We anticipate that these immunophenotypes will be foundational to monitoring and predicting response to anti-glioma vaccines and immunotherapy. We characterized the T cell receptor (TCR) repertoires of 11 high-grade glioma patients, three low-grade glioma patients, and thee non-glioma patients by TCRseq of brain-infiltrating T cells and matching peripheral blood. In addition, we obtained gene expression profiles from brain tissue of each patient by RNA-Seq. We additionally measured the TCR repertoires exclusively from peripheral blood of one additional non-glioma patient.

ORGANISM(S): Homo sapiens

SUBMITTER: Peter Sims 

PROVIDER: E-GEOD-79338 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2016-05-18 | GSE79338 | GEO
2023-05-31 | E-MTAB-11498 | biostudies-arrayexpress
2022-07-19 | GSE208303 | GEO
2021-11-18 | GSE182535 | GEO
2022-04-01 | GSE184200 | GEO
2016-07-19 | E-GEOD-74396 | biostudies-arrayexpress
2020-08-01 | E-MTAB-8892 | biostudies-arrayexpress
| PRJNA804508 | ENA
2022-03-10 | GSE198052 | GEO
2016-03-29 | E-GEOD-74395 | biostudies-arrayexpress