ABSTRACT: We generated the individual transcriptomes of 96 liver cells using the Fluidigm C1 platform. In brief, a suspension of cells was prepared from the liver of a 14-week old B6CastF1 (C57Bl/6J mother x CAST/Ei father) female mouse and loaded onto a 10-17 m C1 Single-Cell Auto Prep IFC (Fluidigm), and cell capture was performed according to the manufacturers instructions.
Project description:This study provides an assessment of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells. The system combines microfluidic technology and nanoliter-scale reactions. We sequenced 622 cells allowing identification of 341 islet cells with high-quality gene expression profiles. The cells clustered into populations of alpha-cells (5%), beta-cells (92%), delta-cells (1%) and PP-cells (2%). We identified cell-type specific transcription factors and pathways primarily involved in nutrient sensing and oxidation and cell signaling. Unexpectedly, 281 cells had to be removed from the analysis due to low viability (23%), low sequencing quality (13%) or contamination resulting in the detection of more than one islet hormone (64%). Collectively, we provide a resource for identification of high-quality gene expression datasets to help expand insights into genes and pathways characterizing islet cell types. We reveal limitations in the C1 Fluidigm cell capture process resulting in contaminated cells with altered gene expression patterns. This calls for caution when interpreting single-cell transcriptomics data using the C1 Fluidigm system. Single-cell RNA sequencing of mouse C57BL/6 pancreatic islet cells
Project description:Oscillatory gene expression is fundamental to mammalian development, but technologies to monitor expression oscillations are limited. We have developed a statistical approach called Oscope to identify and characterize the transcriptional dynamics of oscillating genes in single-cell RNA-seq data from an unsynchronized cell population. Applications to a number of data sets, include a single-cell RNA-seq data set of human embroyonic stem cells (hESCs), demonstrate advantages of the approach and also identify a potential artifact in the Fluidigm C1 platform. Total 213 H1 single cells and 247 H1-Fucci single cells were sequenced. The 213 H1 cells were used to evaluate Oscope in identifying oscillatory genes. The H1-Fucci cells were used to confirm the cell cycle gene cluster identified by Oscope in the H1 hESCs.
Project description:We used micro-dissection and trypsinization techniques to isolate single cells from the E12.5 total kidney. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database. E12.5 kidneys are dissected; the kidneys are made into a single cell suspension via trypsinization. A subset of these cells is analysed individually via Fluidigm C1 single cell analysis. The long term goal is to generate a single cell resolution transcriptional atlas of the developing kidney.
Project description:Long non-coding RNAs (lncRNAs) are a diverse category of transcripts with poor conservation and have expanded greatly in primates, particularly in their brain. We identified a lncRNA, which has acquired 16 microRNA response elements (MREs) for miR-143-3p in the Catarrhini branch of primates. This lncRNA termed LncND (neuro-development) gets expressed in neural progenitor cells and then declines in mature neurons. Binding and release of miR-143-3p, by LncND, can control the expression of Notch. Its expression is highest in radial glia cells in the ventricular and outer subventricular zones of human fetal brain. Down-regulation of LncND in neuroblastoma cells reduced cell proliferation and induced neuronal differentiation, an effect phenocopied by miR-143-3p over-expression and supported by RNA-seq analysis. These findings support a role for LncND in miRNA-mediated regulation of Notch signaling in the expansion of the neural progenitor pool of primates and hence contributing to the rapid growth of the cerebral cortex. Cerebral organoids were generated as in Lancaster et al. (Lancaster and Knoblich, 2014). Organoids were dissociated into single cells and captured on C1 Single-Cell Auto Prep Integrated Fluidic Circuit (IFC) (Fluidigm). The RNA extraction and amplification was performed on the chip as described by the manufacturer. We captured 68 single-cells on a C1 Single-Cell Auto Prep System (Fluidigm) and sequenced the RNA on a NextSeq500 System (Illumina) (Pollen et al., 2014). Out of 68 cells, we obtained 60 high quality cells.
Project description:A subset of adipocytes residing within the inguinal white adipose tissue (ingWAT) of mice exhibit thermogenic activity in response to various external stimuli, including cold exposure. The inducible nature of this thermogenic response, coupled with its robust energy-depleting capacity have prompted investigation into the adipose precursor cells (APCs) from which thermogenic adipocytes derive. To this end, we performed single-cell transcriptomics on cells derived from ingWAT, interscapular brown adipose tissue (iBAT) and epididymal WAT. A subset of single cells collected from ingWAT and epiWAT of mice were chronically (4 days) treated with CL-316,243 (dose at 1 mg kg -1). Tissues of n=28, 10 week-old mice were digested and stromal cells were subsequently purified via differential centrifugation. Single-cell RNA extraction and mRNA amplification were performed on the C1™ Single-Cell Auto Prep Integrated Fluidic Circuit (IFC) following the protocol (PN 100-7168, http://www.fluidigm.com/). Following centrifugation and removal of the medium, cells were resuspended at a concentration of 150–500 cells/μL. This cell suspension was mixed with C1 Cell Suspension Reagent (Fluidigm, Cat # 634833) at the recommended ratio of 3:2 immediately before loading 5 μL of this final mix on the C1 IFC. We obtained, on average, 2.5 million mapped reads per one single cell and successfully reconstructed single-cell expression of ~9,000 genes. Our results revealed a unique cluster of cells that exhibited enriched expression of canonical thermogenic and adipogenic gene markers. Notably, we identified tetraspanin CD81 as a discretely expressed membrane-bound protein conserved specifically within this population. All experiments were performed at our facility at the University of California, San Francisco.
Project description:Understanding cell type identity in complex tissues or organisms requires integration of each cell's expression profile with its spatial location within the tissue under study. We developed a high-throughput method that combines in vitro single-cell RNA-sequencing with a gene expression atlas to map single cells back to their location within the tissue of interest. We used the developing brain of a marine annelid, Platynereis dumerilii that is an important model system for studying bilaterian brain evolution, to benchmark our approach. To generate the single-cell mRNA-sequencing data, P. dumerilii larval brains were dissociated, followed by cell capture, cDNA synthesis and amplification on the C1 Single-Cell Auto Prep IFC for 10-17 um cells (Fluidigm). Sequencing libraries were produced using Nexera XT DNA kit (Illumina). In total, we sequenced 213 samples, of which 129 correspond to single, alive cells (as judged by visual inspection of the captured cells) with the remainder consisting of a variety of single dead cells (n=18), wells containing extracellular matrix contaminants (n=8) or multiple cells (n=17), as well as a negative controls where no cells were observed (n=41). For this dataset, we achieved ~90% success rate for the spatial mapping of the single-cell RNA-seq data to P. dumerilii brain atlas. NOTE: 72 additional samples were added on 13th December 2014.
Project description:We used micro-dissection with FACS sorting techniques to isolate single cells from the metanephric mesenchyme of the E11.5 developing kidney. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database. Kidneys are harvested from Tg(Crym-EGFP)GF82Gsat mice. Single cells are extracted from E11.5 metanephric mesenchyme using manual micro-dissection techniques. A subset of these cells is analyzed individually via Fluidigm single cell analysis. The long term goal is to generate a transcriptional atlas of the developing kidney.
Project description:In this study, we aimed to study the gene expression patterns at single cell level across the different cell cycle stages in mESC. We performed single cell RNA-Seq experiment on mESC that were stained with Hoechst 33342 and Flow cytometry sorted for G1, S and G2M stages of cell cycle. Single cell RNA-Seq was performed using Fluidigm C1 system and libraries were generated using Nextera XT (Illumina) kit.
Project description:Cardiac fibroblasts convert to myofibroblasts with injury to mediate healing after acute myocardial infarction and to mediate long-standing fibrosis with chronic disease. Myofibroblasts remain a poorly defined cell-type in terms of their origins and functional effects in vivo. Methods: Here we generate Postn (periostin) gene-targeted mice containing a tamoxifen inducible Cre for cellular lineage tracing analysis. This Postn allele identifies essentially all myofibroblasts within the heart and multiple other tissues. Results: Lineage tracing with 4 additional Cre-expressing mouse lines shows that periostin-expressing myofibroblasts in the heart derive from tissue-resident fibroblasts of the Tcf21 lineage, but not endothelial, immune/myeloid or smooth muscle cells. Deletion of periostin+ myofibroblasts reduces collagen production and scar formation after myocardial infarction. Periostin-traced myofibroblasts also revert back to a less activated state upon injury resolution. Conclusions: Our results define the myofibroblast as a periostin-expressing cell-type necessary for adaptive healing and fibrosis in the heart, which arises from Tcf21+ tissue-resident fibroblasts. Fluidigm C1 whole genome transcriptome analysis of lineage mapped cardiac myofibroblasts
Project description:We used micro-dissection with FACS sorting techniques to isolate renal vesicle single cell types from post natal (P4) kidneys. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database. Kidneys are harvested from Tg(Crym-EGFP)GF82Gsat mice. Single cells are extracted from P4 renal vesicles using micro-dissection with FACS sorting techniques. A subset of these cells is analyzed individually via Fluidigm single cell analysis. The long term goal is to generate a transcriptional atlas of the developing kidney.