Single-cell RNA-seq of CD4+ Treg and Tmem cells from different tissues in mouse (Chromium 10x data)
ABSTRACT: Non-lymphoid tissues (NLTs) harbour a pool of adaptive immune cells distinct from their counterparts in lymphoid tissues, and their development and phenotype remains largely unexplored. We used scRNA-seq to survey CD4+ T regulatory (Treg) and memory T (Tmem) cells in spleen, lymph nodes, skin and colon in an unbiased way, in mouse. This cross-tissues comparison allows us to obtain marker genes for immune populations in specific locations, as well as examine each population's heterogeneity. Additionally, a continuous phenotype of Treg migration can be modelled from the mouse data, unravelling the transcriptional stages through which these cells transition between tissues.
Project description:Barcode swapping results in the mislabeling of sequencing reads between multiplexed samples on the new patterned flow cell Illumina sequencing machines. This may compromise the validity of numerous genomic assays, especially for single-cell studies where many samples are routinely multiplexed together. The severity and consequences of barcode swapping for single-cell transcriptomic studies remain poorly understood. We have used two statistical approaches to robustly quantify the fraction of swapped reads in each of two plate-based single-cell RNA sequencing datasets. We found that approximately 2.5% of reads were mislabeled between samples on the HiSeq 4000 machine, which is lower than previous reports. We observed no correlation between the swapped fraction of reads and the concentration of free barcode across plates. Further- more, we have demonstrated that barcode swapping may generate complex but artefactual cell libraries in droplet-based single-cell RNA sequencing studies. To eliminate these artefacts, we have developed an algorithm to exclude individual molecules that have swapped between samples in 10X Genomics experiments, exploiting the combinatorial complexity present in the data. This permits the continued use of cutting-edge sequencing machines for droplet-based experiments while avoiding the confounding effects of barcode swapping. This data repository contains the sequencing files associated with the droplet based scRNA-seq dataset in Griffiths et al. (2018). The data presented here should purely used for technical analysis, the biological motivation is nonetheless briefly described in the following: The mammary gland is a unique organ as it undergoes most of its development during puberty and adulthood. Characterising the hierarchy of the various mammary epithelial cells and how they are regulated in response to gestation, lactation and involution is important for understanding how breast cancer develops. Recent studies have used numerous markers to enrich, isolate and characterise the different epithelial cell compartments within the adult mammary gland. However, in all of these studies only a handful of markers were used to define and trace cell populations. Therefore, there is a need for an unbiased and comprehensive description of mammary epithelial cells within the gland at different developmental stages. To this end we used single cell RNA sequencing (scRNAseq) to determine the gene expression profile of individual mammary epithelial cells across four adult developmental stages; nulliparous, mid gestation, lactation and post weaning (full natural involution).
Project description:The heterogeneity of endothelial cells (ECs), lining blood vessels, across tissues remains incompletely inventoried. We constructed an atlas of >32,000 single-EC transcriptomic data from 11 tissues of the model organism Mus musculus. We propose a new classification of EC phenotypes based on transcriptome signatures and inferred putative biological features. We identified top-ranking markers for ECs from each tissue. ECs from different vascular beds (arteries, capillaries, veins, lymphatics) resembled each other across tissues, but only arterial, venous and lymphatic (not capillary) ECs shared markers, illustrating a greater heterogeneity of capillary ECs. We identified high-endothelial-venule and lacteal-like ECs in the intestines, and angiogenic ECs in healthy tissues. Metabolic transcriptomes of ECs differed amongst spleen, lung, liver, brain and testis, while being similar for kidney, heart, muscle and intestines. Within tissues, metabolic gene expression was heterogeneous amongst ECs from different vascular beds, altogether highlighting large EC heterogeneity.
Project description:Single-cell transcriptome profiling using a 3' droplet-based platform (Chromium,10x Genomics) of human CD45+ leukocytes isolated from leukemic HuSGM3 mice infused with CD19.28z CAR-T cells, two days after cytokine release syndrome (CRS) onset and 5 days later.
Project description:Single-cell transcriptome profiling using a 3' droplet-based platform (Chromium,10x Genomics) of CD11b+ cells isolated from the spleen of control and tumor-bearing mice, treated or not with IFN gene therapy.
Project description:Anopheline mosquitoes transmit Plasmodium parasites to humans, and are responsible for an estimated 219 million cases of malaria, leading to over 400,000 deaths annually. The mosquito’s immune system limits Plasmodium infection in several ways, and hemocytes, the insect white blood cells, are key players in these defense responses. However, the full functional diversity of mosquito hemocytes and their developmental trajectories have not been established. We use single cell RNA sequencing (scRNA-seq) to analyze the transcriptional profiles of individual mosquito hemocytes in response to blood feeding or infection with Plasmodium. Circulating hemocytes were collected from adult A. gambiae M form (A. coluzzii) females that were either kept on a sugar meal or fed on a healthy or a Plasmodium berghei-infected mouse. Transcriptomes from 5,383 cells (collected 1, 3, and 7 days after feeding) revealed nine major cell clusters.
Project description:We performed single-cell RNA-sequencing to create a cell census of the human thymus during development, early childhood and adult life. We sampled 15 embryonic and fetal thymi spanning thymic developmental stages between 7 post-conception weeks (PCW) to 17 PCW, and 9 postnatal thymi from paediatric and adult samples. We compared the cellular composition and T cell differentiation within human and mouse thymus using newly generated and repository mouse datasets. Finally, we investigated the bias in the recombination and selection of human versus mouse TCR repertoires.
Project description:The human colon contains an extensively diverse microbial ecosystem and one of the most numerous communities of immune cells. Studies have highlighted dynamic crosstalk between immune cells and commensals. While studies have demonstrated increasing diversity of microbiota from stomach to stool, whether and how immune cell heterogeneity and microbiota diversity change across the colon is undefined. Furthermore, whether these changes are co-depended in the healthy colon is unknown. Here, tissue samples are collected from caecum, transverse colon, sigmoid colon and mLN of cadaveric donors by the Cambridge Biorepository of Translational Medicine (CBTM). We use single cell RNA sequencing (10X genomics) to assess the dynamics of immune cell populations across the colon and in matching lymph nodes. Associated microbiome 16S sequencing data is available.
Project description:We report scRNA-seq data captured from 9,410 cells obtained from the skin of K14E7 transgenic and wildtype C57/BL6 mice. The K14E7 mouse model harbors the HPV16 E7 oncogene driven from a Keratin 14 promoter for keratinocyte-specific expression. We used scRNA-seq to detect and measure E7 transcription with unprecedented accuracy and resolution. With these data, we uncovered transcriptional differences between the individual cells; demonstrated that increased HPV16 E7 copy number is associated with increased expression of E7-induced genes; and showed that E7 expression is predominantly associated with basal keratinocytes.
Project description:Endothelial cell (EC) metabolism regulates angiogenesis and is an emerging target for anti-angiogenic therapy in tumor and choroidal neovascularization (CNV). In contrast to tumor ECs (TECs), CNV-ECs cannot be isolated for unbiased metabolic target discovery. Here we used scRNA-sequencing to profile 28,337 choroidal ECs (CECs) from mice to in silico distinguish healthy CECs from CNV-ECs. Trajectory inference suggested that CNV-ECs plastically upregulate genes in central carbon metabolism and collagen biosynthesis during differentiation from quiescent postcapillary venous ECs. CEC-tailored genome scale metabolic modeling predicted essentiality of SQLE and ALDH18A1 for proliferation and collagen production, respectively. Comparative analysis in TECs revealed more outspoken metabolic transcriptome heterogeneity in subtypes and consistent upregulation of SQLE and ALDH18A1 across tumor types. Inhibition of SQLE and ALDH18A1 reduced sprouting angiogenesis in vitro. These findings demonstrate the potential of integrated scRNA-seq analysis to identify angiogenic metabolic targets in disease ECs.