49 research outputs found

    Targeting individual cells by barcode in pooled sequence libraries

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    Transcriptional profiling of thousands of single cells in parallel by RNA-seq is now routine. However, due to reliance on pooled library preparation, targeting analysis to particular cells of interest is difficult. Here, we present a multiplexed PCR method for targeted sequencing of select cells from pooled single-cell sequence libraries. We demonstrated this molecular enrichment method on multiple cell types within pooled single-cell RNA-seq libraries produced from primary human blood cells. We show how molecular enrichment can be combined with FACS to efficiently target ultra-rare cell types, such as the recently identified AXL+SIGLEC6+ dendritic cell (AS DC) subset, in order to reduce the required sequencing effort to profile single cells by 100-fold. Our results demonstrate that DNA barcodes identifying cells within pooled sequencing libraries can be used as targets to enrich for specific molecules of interest, for example reads from a set of target cells.National Institute of Allergy and Infectious Diseases (U.S.) (U24AI11866803)National Human Genome Research Institute (U.S.) (RM1HG00619307)Broad Institute of MIT and HarvardBurroughs Wellcome Fund (Career Award at the Scientific Interface)National Science Foundation (U.S.). Graduate Research FellowshipNational Human Genome Research Institute (U.S.). Centers of Excellence in Genomic Science (RM1HG00619307)Massachusetts Institute of Technolog

    Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors

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    Dendritic cells (DCs) and monocytes play a central role in pathogen sensing, phagocytosis, and antigen presentation and consist of multiple specialized subtypes. However, their identities and interrelationships are not fully understood. Using unbiased single-cell RNA sequencing (RNA-seq) of ~2400 cells, we identified six human DCs and four monocyte subtypes in human blood. Our study reveals a new DC subset that shares properties with plasmacytoid DCs (pDCs) but potently activates T cells, thus redefining pDCs; a new subdivision within the CD1C+ subset of DCs; the relationship between blastic plasmacytoid DC neoplasia cells and healthy DCs; and circulating progenitor of conventional DCs (cDCs). Our revised taxonomy will enable more accurate functional and developmental analyses as well as immune monitoring in health and disease

    Genetic Variation in the Familial Mediterranean Fever Gene (MEFV) and Risk for Crohn's Disease and Ulcerative Colitis

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    BACKGROUND AND AIMS: The familial Mediterranean fever (FMF) gene (MEFV) encodes pyrin, a major regulator of the inflammasome platform controlling caspase-1 activation and IL-1beta processing. Pyrin has been shown to interact with the gene product of NLRP3, NALP3/cryopyrin, also an important active member of the inflammasome. The NLRP3 region was recently reported to be associated with Crohn's disease (CD) susceptibility. We therefore sought to evaluate MEFV as an inflammatory bowel disease (IBD) susceptibility gene. METHODOLOGY AND RESULTS: MEFV colonic mucosal gene expression was significantly increased in experimental colitis mice models (TNBS p<0.0003; DSS p<0.006), in biopsies from CD (p<0.02) and severe ulcerative colitis (UC) patients (p<0.008). Comprehensive genetic screening of the MEFV region in the Belgian exploratory sample set (440 CD trios, 137 UC trios, 239 CD cases, 96 UC cases, and 107 healthy controls) identified SNPs located in the MEFV 5' haplotype block that were significantly associated with UC (rs224217; p = 0.003; A allele frequency: 56% cases, 45% controls), while no CD associations were observed. Sequencing and subsequent genotyping of variants located in this associated haplotype block identified three synonymous variants (D102D/rs224225, G138G/rs224224, A165A/rs224223) and one non-synonymous variant (R202Q/rs224222) located in MEFV exon 2 that were significantly associated with UC (rs224222: p = 0.0005; A allele frequency: 32% in cases, 23% in controls). No consistent associations were observed in additional Canadian (256 CD trios, 91 UC trios) and Scottish (495 UC, 370 controls) sample sets. We note that rs224222 showed marginal association (p = 0.012; G allele frequency: 82% in cases, 70% in controls) in the Canadian sample, but with a different risk allele. None of the NLRP3 common variants were associated with UC in the Belgian-Canadian UC samples and no significant interactions were observed between NLRP3 and MEFV that could explain the observed flip-flop of the rs224222 risk allele. CONCLUSION: The differences in association levels observed between the sample sets may be a consequence of distinct founder effects or of the relative small sample size of the cohorts evaluated in this study. However, the results suggest that common variants in the MEFV region do not contribute to CD and UC susceptibility.Journal ArticleResearch Support, N.I.H. ExtramuralResearch Support, Non-U.S. Gov'tSCOPUS: ar.jinfo:eu-repo/semantics/publishe

    Single-Cell RNA Sequencing of Human T Cells.

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    Genetic investigation of inflammatory bowel disease and post-infectious irritable bowel syndrome : the contribution of innate immunity candidate risk variants

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    The gastro-intestinal (GI) tract represents the largest surface of the body and is continuously exposed to the microbial environment. In such anatomy, the survival of the host requires that the intestinal microbial flora be contained without excessive immune-reactivity to commensal bacteria while retaining the ability to respond to episodic pathogens. The discriminative recognition between beneficial commensal bacteria and potentially harmful pathogens demands an accurate interpretation by the GI mucosal immune system. Any defects in the processes of innate immune recognition and killing may lead to the development and perpetuation of chronic intestinal inflammation, namely inflammatory bowel disease (i.e. Crohn's disease (CD) and ulcerative colitis (UC)) and post-infectious irritable bowel syndrome (PI-IBS). The aim of ours studies was to evaluate the contribution of candidate genes, involved in the homeostasis and regulation of the intestinal innate immune response, to the susceptibility to CD, DC, and PI-IBS. In the first phase, we describe functional and genetic association results supporting NLRP3, encoding NALP3/cryopyrin, as a novel CD susceptibility gene. We subsequently report that the MEFV gene, encoding pyrin, known to interact with and be involved in the same pathway as NALP3/cryopyrin, does not contribute to CD and DC susceptibility. No CD or DC additional associations were observed upon NLRP3-MEFV gene-gene interaction analyses. In the third phase, we report the first association study evaluating genetic determinants for PI-IBS, using the well-characterized Walkerton population cohort. We uncovered variants in the TLR9, CDH1, and IL6 regions associated with PI-IBS susceptibility. These results are in keeping with the pathophysiologic changes observed in patients with PI-IBS, which include increased intestinal permeability and intestinal immune activation.Overall, these results contribute to a better understanding of the genetic susceptibility to CD, DC and PI-IBS and shed light on new pathogenic signaling pathways in the development of these diseases

    Editorial: The contribution of genetic studies in shifting the immunopathogenesis paradigm of Crohn's disease

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    SCOPUS: ed.jinfo:eu-repo/semantics/publishe

    Single-Cell RNA Sequencing of Human T Cells

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    Understanding how populations of human T cells leverage cellular heterogeneity, plasticity, and diversity to achieve a wide range of functional flexibility, particularly during dynamic processes such as development, differentiation, and antigenic response, is a core challenge that is well suited for single-cell analysis. Hypothesis-free evaluation of cellular states and subpopulations by transcriptional profiling of single T cells can identify relationships that may be obscured by targeted approaches such as FACS sorting on cell-surface antigens, or bulk expression analysis. While this approach is relevant to all cell types, it is of particular interest in the study of T cells for which classical phenotypic criteria are now viewed as insufficient for distinguishing different T cell subtypes and transitional states, and defining the changes associated with dysfunctional T cell states in autoimmunity and tumor-related exhaustion. This unit describes a protocol to generate single-cell transcriptomic libraries of human blood CD4+ and CD8+ T cells, and also introduces the basic bioinformatic steps to process the resulting sequence data for further computational analysis. We show how cellular subpopulations can be identified from transcriptional data, and derive characteristic gene expression signatures that distinguish these states. We believe single-cell RNA-seq is a powerful technique to study the cellular heterogeneity in complex tissues, a paradigm that will be of great value for the immune system
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