Project description:Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease. Knowledge of circulating immune cell types and cell states associated with SLE remains incomplete. We profiled over 1.2 million PBMCs (162 cases, 99 controls) with multiplexed single-cell RNA-seq (mux-seq). Cases exhibited prominent expression of type-1 interferon-stimulated genes (ISG) in monocytes, reduction of naïve CD4+ T cells that correlated with monocyte ISG expression, and expansion of repertoire-restricted cytotoxic GZMH+ CD8+ T cells. Cell-type-specific expression features accurately predicted case-control status and stratified patients into two molecular subtypes. We integrated dense genotyping data, mapping cell-type-specific cis-eQTLs and linked known and novel SLE-associated variants to cell-type-specific gene expression. These results demonstrate mux-seq as a systematic approach to characterize cellular composition, identify transcriptional signatures, and annotate genetic variants associated with SLE.
Project description:Systemic lupus erythematosus (SLE) is an autoimmune disease defined by a broad range of symptoms that disproportionately affects women Our knowledge of which immune cells mediate the etiology and pathogenesis of the disease remains incomplete Identifying pathogenic cells using bulk gene expression analysis is confounded by the functional overlap and frequency variation of immune cell types Here, we used multiplexed single-cell RNA-seq (scRNA-seq) to profile ~1 million peripheral blood mononuclear cells from 134 SLE cases and 58 healthy controls Cases were marked by a reduction of naive CD4+ T cells, clonal restriction of effector memory CD8+ T cells, and elevated expression of interferon-stimulated genes in classical monocytes An additional 15 cases experiencing active disease flares displayed increased expansion of effector memory CD8+ T cells and the presence of macrophages not seen in managed disease Although cell-type-specific expression contributed most to inter-individual expression variability across all cells, cell composition accounted for more variability in genes differentially expressed in cases We integrated dense genotyping data to map thousands of genetic variants, including SLE-associations, whose effects on expression are modified by cell type or interferon activation Population-scale scRNA-seq analysis reveals changes in cell composition and state associated with SLE, and when integrated with genetic data, ascribes function to disease-associated and disease-modified variants
Project description:Multiplexed RNA-sequencing of 1M immune cells reveals the cellular, molecular, and genetic correlates of systemic lupus erythematosus
Project description:The goal of the study was to identify transcriptional correlates of SLE disease activity both at the cohort and at the individual levels. To do so, we longitudinally profiled the whole blood transcriptomes of 158 SLE patients by microarray for up to 4 years, yielding 924 SLE samples and 48 matched pediatric healthy samples. The transcriptional data are complemented by demographic, laboratory and clinical data.
Project description:Cancer is a heterogeneous disease, where multiple, phenotypically distinct subpopulations co-exist. Tumour evolution is a result of a complex interplay of genetic and epigenetic factors. To predict the molecular drivers of distinct cancer responses, we apply single-cell lineage tracing (scRNA-Seq of barcoded cells) on a triple-negative breast cancer model. SUM159PT cells infected with a lentiviral barcode library (Perturb-seq Library) were sorted according to the presence of BFP signal, treated or not with paclitaxel (PTX), multiplexed with MULTI-Seq protocol, and then processed by scRNA-Seq.
Project description:To investigate the molecular changes that NEP subpopulations endure upon injury and to determine whether specific populations of NEPs have a transient increase in the signaling pathways associated with injury induced cellular stress and ROS, we performed multiplexed scRNA-seq of NEPs (CFP+) isolated by fluorescence activated cell sorting (FACS) from Nes-CFP/+ transgenic neonates with and without irradiation at timepoints P1, P2, P3 and P5.