Transcriptional signature of MAITs in LTBI (CD8+ or CD8-)
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ABSTRACT:
PROVIDER: PRJNA549485 | ENA |
REPOSITORIES: ENA
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Project description: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.
2020-05-13 | GSE132931 | GEO
Project description: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.
2020-05-13 | GSE132790 | GEO
Project description:Transcriptional signature of MAITs in LTBI
| PRJNA549010 | ENA
Project description: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.
2020-05-13 | GSE132932 | GEO
Project description:Mtb-induced BAL cell gene expression signature in LTBI [CD8 experiment]
| PRJNA555589 | ENA
Project description:Transcriptional signature of MAITs in LTBI (memory CD8 T cells and subsets of TRAV1-2+CD161+ MAITs)
| PRJNA549484 | ENA
Project description:In this study, we evaluated global Mtb-induced gene expression in airway immune cells obtained by bronchoalveolar lavage of individuals with latent tuberculosis infection (LTBI) and in Mtb-naïve control subjects We used microarrays to detail the global programme of gene expression evaluating the impact of localized T cells subsets in the recall responses of individuals with LTBI
2019-08-09 | GSE134550 | GEO
Project description:Mtb-induced BAL cell gene expression signature in LTBI
| PRJNA555583 | ENA
Project description:In this study, we evaluated global Mtb-induced gene expression in airway immune cells obtained by bronchoalveolar lavage of individuals with latent tuberculosis infection (LTBI) and in Mtb-naïve control subjects We used microarrays to detail the global programme of gene expression evaluating the impact of localized T cells subsets in the recall responses of individuals with LTBI
2019-08-09 | GSE134565 | GEO
Project description:In this study, we evaluated global Mtb-induced gene expression in airway immune cells obtained by bronchoalveolar lavage of individuals with latent tuberculosis infection (LTBI) and in Mtb-naïve control subjects We used microarrays to detail the global programme of gene expression evaluating the impact of localized T cells subsets in the recall responses of individuals with LTBI
2019-08-09 | GSE134564 | GEO