Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA302465 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2920800_1.fastq.gz | Fastqsanger.gz | |||
| SRR2920800_2.fastq.gz | Fastqsanger.gz | |||
| SRR2920801_1.fastq.gz | Fastqsanger.gz | |||
| SRR2920801_2.fastq.gz | Fastqsanger.gz | |||
| SRR2920802_1.fastq.gz | Fastqsanger.gz |
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Project description:Extensive cellular heterogeneity exists within specific immune-cell subtypes classified as a single lineage, but its molecular underpinnings are rarely characterized at a genomic scale. Here, we use single-cell RNA-seq to investigate the molecular mechanisms governing heterogeneity and pathogenicity of Th17 cells isolated from the central nervous system (CNS) and lymph nodes (LN) at the peak of autoimmune encephalomyelitis (EAE) or polarized in vitro under either pathogenic or non-pathogenic differentiation conditions. Computational analysis reveals a spectrum of cellular states in vivo, including a self-renewal state, Th1-like effector/memory states and a dysfunctional/senescent state. Relating these states to in vitro differentiated Th17 cells, unveils genes governing pathogenicity and disease susceptibility. Using knockout mice, we validate four novel genes: Gpr65, Plzp, Toso and Cd5l (in a companion paper). Cellular heterogeneity thus informs Th17 function in autoimmunity, and can identify targets for selective suppression of pathogenic Th17 cells while sparing non-pathogenic tissue-protective ones. Population transcriptional profiling of in vitro polarized Th17 cells, either sorted for IL17A/GFP+ or unsorted.
2015-11-20 | E-GEOD-75103 | biostudies-arrayexpress
Project description:Microarray data on TH17 cells from Bhlhe40-GFP reporter mice We used microarrays to detail the global programme of gene expression in polarized Bhlhe40-GFPneg and Bhlhe40-GFPpos TH17 cells Purified naïve CD4 T cells from spleen were polarized under TH17 condition in vitro. On day 4, cells were stimulated with PMA and ionomycin, and sorted by their Bhlhe40-GFP expression prior to microarray analysis
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Project description:We compared the methylated and non-methylated regions in the genome of ex vivo-isolated naive CD4+ T cells, Th1 cells, Th17 cells and regulatory T cells by methyl-CpG binding domain protein sequencing (MBD-seq). Naive T cells and Th1 cells share more methylated regions than naive T cells and Th17 cells or Th1 and Th17 cells. However, analysis of the non-methylated regions revealed the highest similarity between Th1 and Th17 cells. Another aim was the analysis of the Th17 lineage on the basis of the methylome. We searched for regions absent in the methylome of Th17 but present in naive T cells, Th1 cells and regulatory T cells. Here, we identified differential methylation in the loci of Il17a, Chn2, Dpp4 and Dclk1. CD4+ T effector cells were prepared ex vivo, stimulated with PMA/Ionomycin, subjected to a comercially available cytokine secretion kit (IL-17A and IFNg), stained by adding fluorescence-labeled antibodies against CD3, CD4 and CD45RB and sorted by flow cytometry. We sorted naive CD4+ T cells (CD3+CD4+CD45RB_high), Th1 cells (CD3+CD4+CD45RB_low_IFNg+IL17A-), Th17 cells (CD3+CD4+CD45RB_low_IFNg-IL17A+) and regulatory T cells (CD3+CD4+CD25++).
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