Single cell sequencing of 43,168 cells during the differentiation from human induced pluripotent stem cells to cardiomyocytes
ABSTRACT: Differentiation into diverse cell lineages requires orchestration of gene regulatory networks guiding cell fate choices. Genetic factors acting through changes in transcriptional levels can contribute to cardiovascular disease risk by impacting early stages of development and have cell type-specific effects. We set out to characterize lineage trajectory progression of subpopulations and identify potential disease-related genes by examining their expression changes in single cells during early stages of cardiac lineage specification. Using 43,168 single-cell transcriptomes, we developed novel classification and trajectory analysis methods to dissect cellular composition and gene networks across five discrete time points underlying lineage derivation of mesoderm, definitive endoderm, vascular endothelium, cardiac precursors, and definitive cell types that comprise cardiomyocytes and a previously unrecognized cardiac outflow tract population.
Project description:We performed 3' single-cell RNA-seq using the 10X Genomics Chromium (version 1 chemistry) system on ~19,000 undifferentiated human IPSCs to explore the cellular heterogeneity of a seemingly homogeneous cell population.
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:We used the resolving power of single-cell transcriptional profiling to molecularly characterize the mouse adipose stem and progenitor cell-enriched, subcutaneous adipose stromal vascular fraction. We molecularly assessed CD45- CD31- SVF cells using the 10x Genomics Chromium (10x) platform.
Project description:This study shows the pronounced expansion of CD8 T cell clones at sites of active inflammation within the joints of psoriatic arthritis (PsA) patients compared to blood, and characterises the gene expression of expanded clones using droplet based single cell RNA sequencing. Mononuclear cells were separated from freshly acquired paired peripheral blood and synovial fluid samples from 3 PsA patients using density gradient separation, then enriched for CD4 and CD8 T cells using FACS. Additionally, CD45+ leukocytes were enriched by FACS from the cryopreserved synovial tissue of 2 further PsA patients. All cells were then processed using a 10x Chromium Controller and sequenced by Illumina HiSeq 4000 (peripheral blood / synovial fluid) or NovaSeq with S2 flowcell (synovial tissue).
Project description:By generating a paired single cell RNA-sequencing database of the tumor niche from 10 newly diagnosed MM patients, we created a unique dataset allowing the in-depth analyses of stromal-immune interactions within the tumor microenvironment. Using this database, we identified the presence of inflammatory stromal fibroblasts in the bone marrow of Myeloma patients.The stromal inflammation was associated with NF-κB signaling, and sources of IL-1β or TNFα were specific immune subsets previously shown to be altered in MM, suggesting the presence of an immune cell-mediated feed-forward loop of bone marrow inflammation in MM. By tracking inflammatory signatures over time in individual patients undergoing first-line treatment using bulk RNA sequencing, we show that bone marrow inflammation is not reverted by successful anti-tumor therapy (see related accession number), suggesting a role for stromal fibroblasts and bone marrow inflammation in disease persistence or relapse.
Project description:Spermatogenesis is a recurring differentiation process that results in the production of male gametes within the testes. During this process, spermatogonial stem cells differentiate to form spermatocytes, which undergo two rounds of meiotic division to form haploid spermatids. Throughout spermiogenesis, round spermatids elongate to form mature sperm. To profile maturing germ cells during the first wave of spermatogenesis, we generated droplet-based single cell RNAseq from juvenile animals at post-natal day P5-P35 as well as adult animals. Cells were isolated from whole testes. Furthermore, to assay the robustness of the meiotic cell division process, we profiled germ cells of the trans-chromosomal mouse model (Tc1) that carries a copy of the human chromosome 21.
Project description:TEC progenitors that express beta 5-t contribute to both the cortical and medullary TEC compartments. Our initial experiments across ageing thymi identified a population of potential progenitor TECs which expanded with age, and appears to be a progenitor population for mTEC. These lineage tracing experiments are designed to chart the altered differentiation and senescence of mTEC progenitors with age.
Project description:We profile single cells from patients with colorectum, ovary and breast cancer using various single-cell technologies, including Chromium 3’ and 5’ single-cell RNA-sequencing. <br>Note: Raw data files have been removed upon submitter's request.
Project description:Acute Pten loss initiates prostate tumorigenesis characterized by cellular senescence response. Here we examine the cellular senescence response in epithelial individual cells, by single-cell RNA sequencing (scRNAseq) in Ptenpc-/- and Ptenpc-/-; Timp1-/- GEMMs. ScRNAseq analysis determines a cluster of senescent cells expressing the senescence-related genes. A significant positive correlation is observed between the senescence score and Bcl2 expression. This provides the rational for targeting senescent cells using Bcl2 inhibitor.