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Time series messenger RNA analysis of immature T-cells and reMAIT cells by microarrays

ABSTRACT: To explore the molecular mechanisms underlying selective differentiation of MAIT-derived iPSCs into reMAITs, we conducted mRNAs profiling based on microarrays. We sampled reMAITs during the time course of differentiation from iPSCs as well as mature MAITs isolated from cord blood (CB MAITs). As control, we used immature T cells differentiated from hematopoietic stem cells (HSCs). For each of reMAITs and the immature T cells, we selected four time points: Start, Early, Middle, and Late.

ORGANISM(S): Homo sapiens

PROVIDER: GSE87739 | GEO | 2017/03/14

SECONDARY ACCESSION(S): PRJNA347297

REPOSITORIES: GEO

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Time series micro RNA analysis of immature T-cells and reMAIT cells by microarrays

Project description:To explore the molecular mechanisms underlying selective differentiation of MAIT-derived iPSCs into reMAITs, we conducted micro RNAs profiling based on microarrays. We sampled reMAITs during the time course of differentiation from iPSCs as well as mature MAITs isolated from cord blood (CB MAITs). As control, we used immature T cells differentiated from hematopoietic stem cells (HSCs). For each of reMAITs and the immature T cells, we selected four time points: Start, Early, Middle, and Late. MAITs isolated from CB were reprogrammed to iPSCs (PMID:23523177). The MAIT-derived iPSCs were cultured on OP9, and CD34+ CD43+ cells were isolated. These CD34+ CD43+ precursor cells were furthered cultured on OP9/DL1 for re-differentiation into MAITs. Based on the observation of the reported surface antigen profiles (PMID:23523177), reMAITs were harvested at four different time points: day 0 (Start), day 4 (Early), day 7-10 (Middle), and after day 30 (Late). For the immature T cells, CD34+ cells were isolated from CB using CD34 MicroBead Kit (Miltenyi Biotech). These CD34+ HSCs were cultured on OP9/DL1 for differentiation into T cell lineage as previously described (PMID:15494433). Based on the surface antigen profiles, the immature T cells were harvested at four different time points: CD34+ cells at day 0 (Start), CD4- CD8- double negative cells at day 21 (Early) and day 40 (Midlle), and CD4+ CD8+ double positive cells after day 50 (Late). Total RNA was extracted from each sample using RNeasy Kit (Quiagen). For micro RNA analysis, RNA was labeled with Cy3-pCp by ligation, and subjected to analysis using Human miRNA Microarray Release 19.0 8x60K (Agilent).

2017-03-14 | GSE88936 | GEO

Time series DNA methylation analysis of immature T-cells and reMAIT cells by using methylation array

Project description:To explore the molecular mechanisms underlying selective differentiation of MAIT-derived iPSCs into reMAITs, we conducted DNA methylation profiling based on a methylation array. We sampled reMAITs during the time course of differentiation from iPSCs as well as mature MAITs isolated from cord blood (CB MAITs). As control, we used immature T cells differentiated from hematopoietic stem cells (HSCs). For each of reMAITs and the immature T cells, we selected four time points: Start, Early, Middle, and Late.

2017-03-14 | GSE88937 | GEO

Gene expression profiles of MAIT cells, MAIT-iPSCs, hiPSCs, hESCs, and reMAIT cells

Project description:To show the similarity among MAIT-iPSCs, hiPSCs and hESCs and the gradual change of global gene expression of reMAIT cells along with differentiation, this experiment was designed. MAIT cells, MAIT-iPSCs, hiPSCs, hESCs, MAIT cells, and reMAIT cells at the several differerent stages of differentiation were collected. Then, they were applied in this experiment.

2013-03-21 | E-GEOD-44559 | biostudies-arrayexpress

Microarray expression profiling of NKT and MAIT subsets in different organs of B6-MAIT/CAST mice.

Project description:MAIT cells (MAITs) represent an abundant T lymphocyte subset with unique specificity for microbial metabolites presented by the MHC-1b molecule, MR1. MAIT conservation along evolution indicates important, non-redundant functions, but their low frequency in mice has hampered their detailed characterization. Here, we performed a transcriptomic analysis of murine MAITs in comparison with NKT subsets and with mainstream T cells in spleen and peripheral organs of B6-MAIT/CAST mice expressing a Rorc-GFP transgene. MAIT and NKT cells have been FACS-sorted after tetramer staining (MR1:5-OP-RU Tet+ for MAIT, CD1d:PBS57Tet+ for NKT), and 1/17 subsetting based on the expression of Rorc.

2018-12-03 | E-MTAB-7133 | biostudies-arrayexpress

Gene expression profiles of MAIT cells, MAIT-iPSCs, hiPSCs, hESCs, and reMAIT cells

2013-03-21 | GSE44559 | GEO

Time series transcriptome and DNA methylome analysis of immature T-cells and reMAIT cells

Project description:Time series transcriptome and DNA methylome analysis of immature T-cells and reMAIT cells

| PRJNA349147 | ENA

The transcriptomic landscape of MAIT cell development in the thymus (C006 RNAseq data set)

Project description:We report the transcriptomic landscape of MAIT cell development by examining thymic immature stage 1 and mature stage 3 MAIT cells from mouse thymus, and thymic immature stage 1, stage 2 mature stage 3 MAIT cells from human thymus using RNAseq.

2019-09-26 | GSE137349 | GEO

The transcriptomic landscape of MAIT cell development in the thymus (NN41 RNAseq data set)

2019-09-26 | GSE137347 | GEO

Expression data from iPS cells

Project description:We generated iPSCs from imatinib-sensitive chronic myelogenous leukemia (CML) patient samples. We used microarrays tc ompare the gene expression pattern among CML-iPSCs and normal cord blood (CB) iPSCs. Two CML derived iPS cells and one CB derived iPS cells were selected for RNA extraction and hybridization on Affymetrix microarrays.

2012-05-15 | E-GEOD-37982 | biostudies-arrayexpress

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

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

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