Genomics

Dataset Information

0

Transcriptional signature of MAITs in LTBI (CD8+ or CD8-)


ABSTRACT: We applied a cell population transcriptomics strategy to sorted human memory CD8 T cells to define novel immune signatures of latent tuberculosis infection (LTBI) and understand the phenotype of tuberculosis (TB)-specific T cells. We found a 41-gene signature that could discriminate between memory CD8 T cells from healthy LTBI subjects and noninfected controls. The gene signature was dominated by genes known to be associated with mucosal associated invariant T cells (MAITs) and reflected the lower frequency of MAITs observed in individuals with LTBI. There was no evidence for a conventional CD8 T cell specific signature between the two cohorts. We therefore investigated the MAITs in more detail in these cohorts. Phenotyping based on Vα7.2 and CD161 expression and MR1 tetramers revealed 2 distinct populations of CD8+Vα7.2+CD161+ T cells: MR1 tetramer+ and MR1 tetramer−, both of which had a distinct gene expression profile compared to CD8 memory T cells. Transcriptomic analysis of LTBI vs. noninfected individuals did not reveal significant differences for MR1 tetramer+ cells. However, gene expression of MR1 tetramer− cells showed a very different profile with large inter-individual diversity and a TB-specific signature. This was further strengthened by a more diverse TCR-α and -β repertoire of MR1 tetramer− cells as compared to MR1 tetramer+. Thus, cell population transcriptomics revealed a dominant MAIT signature in CD8 memory T cells that upon detailed investigation provided novel insights into the phenotype of different MAIT populations implicated in tuberculosis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE132931 | GEO | 2020/05/13

REPOSITORIES: GEO

Similar Datasets

2020-05-13 | GSE132932 | GEO
2020-05-13 | GSE132790 | GEO
2018-12-03 | E-MTAB-7133 | biostudies-arrayexpress
| PRJNA549485 | ENA
| PRJNA549484 | ENA
| PRJNA549010 | ENA
2019-09-10 | GSE123805 | GEO
2019-06-12 | GSE84445 | GEO
2020-05-26 | GSE99374 | GEO
2021-05-11 | GSE162725 | GEO