Single_cell_analysis_of_cytokine_induced_T_cell_states
We isolated T cells from healthy platelet donors and cultured them in resting and stimulated conditions with addition of a range of cytokines. We performed scRNA sequencing to assess the variability of polarization in different cytokines treated cells. Cytokines affect T cell responses by polarising them to different phenotypes. Given that the inflammation and and autoimmune tissue distruction is driven by the local production of cytokines, we investigated cytokine induced changes in T cells by using a combination of immunological and genomics approaches. To characterize, the efficacy of cytokine induced porization, here we stimulated naive and memory CD4+ T cells in the presence of cytokine polarizing coctails and profiled single cell transcriptome five days following polarization. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
- Type: Transcriptome Analysis
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
---|---|---|---|
EGAD00001005290 | Illumina HiSeq 4000 | 16 |
Publications | Citations |
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Single-cell transcriptomics identifies an effectorness gradient shaping the response of CD4<sup>+</sup> T cells to cytokines.
Nat Commun 11: 2020 1801 |
112 |
Immune cell identifier and classifier (ImmunIC) for single cell transcriptomic readouts.
Sci Rep 13: 2023 12093 |
1 |
Autoreactive T cells target peripheral nerves in Guillain-Barré syndrome.
Nature 626: 2024 160-168 |
8 |