Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis
Year: 2020
Type: article
Study design: Observational Study
Abstract: We provide a single cell atlas of Idiopathic Pulmonary Fibrosis (IPF), a fatal interstitial lung disease, focusing on resident lung cell populations. By profiling 312,928 cells from 32 IPF, 29 healthy control and 18 chronic obstructive pulmonary disease (COPD) lungs, we demonstrate that IPF is characterized by changes in discrete subpopulations of cells in the three major parenchymal compartments: the epithelium, endothelium and stroma. Among epithelial cells, we identify a novel population of IPF enriched aberrant basaloid cells that co-express basal epithelial markers, mesenchymal markers, senescence markers, developmental transcription factors and are located at the edge of myofibroblast foci in the IPF lung. Among vascular endothelial cells in the in IPF lung parenchyma we identify an expanded cell population transcriptomically identical to vascular endothelial cells normally restricted to the bronchial circulation. We confirm the presence of both populations by immunohistochemistry and independent datasets. Among stromal cells we identify fibroblasts and myofibroblasts in both control and IPF lungs and leverage manifold-based algorithms diffusion maps and diffusion pseudotime to infer the origins of the activated IPF myofibroblast. Our work provides a comprehensive catalogue of the aberrant cellular transcriptional programs in IPF, demonstrates a new framework for analyzing complex disease with scRNAseq, and provides the largest lung disease single-cell atlas to date.
Source: Science Advances
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,500
Funders: Brigham and Women's Hospital, Yale University, Biogen, Deutsche Forschungsgemeinschaft, National Institutes of Health, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, U.S. National Library of Medicine, National Center for Advancing Translational Sciences
Awards: G3842720522, Deep and Integrative Analysis of RNA Sequencing Data to Identify Pathogenesis Heterogeneity of Chronic Lung Disease, Center for causal Modeling and discovery of Biomedical Knowledge from Big Data, Alveolar DevMAP, G7334788883, Normal Aging Lung Cell Atlas (NALCA), Distinct and Overlapping Pathways of Fibrosis and Emphysema in Cigarette Smokers, Genomic Analysis of Tissue and Cellular Heterogeneity in IPF, Yale Clinical and Translational Science Award
OpenAlex ID: W3041062936
