56 research outputs found

    Single-cell transcriptome analysis of fish immune cells provides insight into the evolution of vertebrate immune cell types

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    The immune system of vertebrate species consists of many different cell types that have distinct functional roles and are subject to different evolutionary pressures. Here, we first analyzed conservation of genes specific for all major immune cell types in human and mouse. Our results revealed higher gene turnover and faster evolution of trans-membrane proteins in NK cells compared with other immune cell types, and especially T cells, but similar conservation of nuclear and cytoplasmic protein coding genes. To validate these findings in a distant vertebrate species, we used single-cell RNA sequencing of lck:GFP cells in zebrafish and obtained the first transcriptome of specific immune cell types in a nonmammalian species. Unsupervised clustering and single-cell TCR locus reconstruction identified three cell populations, T cells, a novel type of NK-like cells, and a smaller population of myeloid-like cells. Differential expression analysis uncovered new immune-cell–specific genes, including novel immunoglobulin-like receptors, and neofunctionalization of recently duplicated paralogs. Evolutionary analyses confirmed the higher gene turnover of trans-membrane proteins in NK cells compared with T cells in fish species, suggesting that this is a general property of immune cell types across all vertebrates.This work was supported by SystemsX (MelanomX grant for S.J.C.), Cancer Research UK grant number C45041/A14953 to A.C. and L.F., European Research Council project 677501–ZF_Blood to A.C., and a core support grant from the Wellcome Trust and MRC to the Wellcome Trust–Medical Research Council Cambridge Stem Cell Institute

    Aging increases cell-to-cell transcriptional variability upon immune stimulation

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    Aging is characterized by progressive loss of physiological and cellular functions, but the molecular basis of this decline remains unclear. We explored how aging affects transcriptional dynamics using single-cell RNA sequencing of unstimulated and stimulated naïve and effector memory CD4(+) T cells from young and old mice from two divergent species. In young animals, immunological activation drives a conserved transcriptomic switch, resulting in tightly controlled gene expression characterized by a strong up-regulation of a core activation program, coupled with a decrease in cell-to-cell variability. Aging perturbed the activation of this core program and increased expression heterogeneity across populations of cells in both species. These discoveries suggest that increased cell-to-cell transcriptional variability will be a hallmark feature of aging across most, if not all, mammalian tissues.Funded by the European Research Council (F.C., T.F.R., D.T.O., S.A.T., and M.J.T.S.), EMBO Young Investigators Programme (D.T.O.), Cancer Research UK (H.-C.C., M.d.l.R., D.T.O., and J.C.M.), Janet Thornton Fellowship (WT098051 to C.P.M.-J.), Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (107609/Z/15/Z to M.d.l.R.), European Molecular Biology Laboratory (N.E., A.A.K., M.J.T.S., S.A.T., and J.C.M.), Medical Research Council Biostatistics Unit (MRC_MC_UP_0801/1 to C.A.V.), WTSI (C.P.M.-J., S.A.T., J.C.M., and D.T.O.), and Biotechnology and Biological Sciences Research Council–Collaborative Awards in Science and Engineering Studentship with Abcam plc (A.A.K.)

    Single-cell sequencing reveals clonal expansions of pro-inflammatory synovial CD8 T cells expressing tissue-homing receptors in psoriatic arthritis.

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    Psoriatic arthritis (PsA) is a debilitating immune-mediated inflammatory arthritis of unknown pathogenesis commonly affecting patients with skin psoriasis. Here we use complementary single-cell approaches to study leukocytes from PsA joints. Mass cytometry demonstrates a 3-fold expansion of memory CD8 T cells in the joints of PsA patients compared to peripheral blood. Meanwhile, droplet-based and plate-based single-cell RNA sequencing of paired T cell receptor alpha and beta chain sequences show pronounced CD8 T cell clonal expansions within the joints. Transcriptome analyses find these expanded synovial CD8 T cells to express cycling, activation, tissue-homing and tissue residency markers. T cell receptor sequence comparison between patients identifies clonal convergence. Finally, chemokine receptor CXCR3 is upregulated in the expanded synovial CD8 T cells, while two CXCR3 ligands, CXCL9 and CXCL10, are elevated in PsA synovial fluid. Our data thus provide a quantitative molecular insight into the cellular immune landscape of psoriatic arthritis

    T cell fate and clonality inference from single-cell transcriptomes.

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    We developed TraCeR, a computational method to reconstruct full-length, paired T cell receptor (TCR) sequences from T lymphocyte single-cell RNA sequence data. TraCeR links T cell specificity with functional response by revealing clonal relationships between cells alongside their transcriptional profiles. We found that T cell clonotypes in a mouse Salmonella infection model span early activated CD4(+) T cells as well as mature effector and memory cells

    Are cells from a snowman realistic? Cryopreserved tissues as a source for single-cell RNA-sequencing experiments

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    A recently published study in Genome Biology shows that cells isolated from cryopreserved tissues are a reliable source of genetic material for single-cell RNA-sequencing experiments.Please see related Method article: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1171-9

    Redundant regulation

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    Specificity meets function

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