Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Single-cell transcriptional profiling of Th17 cells, harvested at peak of disease in EAE from CNS [EAE-CNS-IL-17A/GFP+]


ABSTRACT: 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 d

ORGANISM(S): Mus musculus

SUBMITTER: Nir Yosef 

PROVIDER: E-GEOD-75107 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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