ArticleRespiratory research2021
Single cell RNA sequencing identifies IGFBP5 and QKI as ciliated epithelial cell genes associated with severe COPD.
Article in Respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD.Respiratory research · 2022Pooled it
- Human iPSC-Derived Vascularised Lung Organoids for Modelling COPD and Pulmonary Hypertension.Cell proliferation · 2026Article
- PER1-related inflammatory signaling links night shift exposure to lower lung function in coal miners.iScience · 2026Article
- Epithelial QKI Protects Against Emphysema by Maintaining Mitochondrial Integrity.bioRxiv : the preprint server for biology · 2026Article
- Spatial transcriptomics reveals compartment-specific cytotoxic T cell crosstalk with AT2 and goblet cells in advanced COPD.Biomarker research · 2026Article
- Unfolding Immune Dysregulation in COPD: Identification of a Three-Gene Signature and Functional Validation ofInternational journal of molecular sciences · 2026Article
- Single-Cell RNA Sequencing of Human Lung Tissues Reveals Metallothionein-Positive T Cells as a Novel Potential Marker of Susceptibility to Chronic Obstructive Pulmonary Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Identification ofInternational journal of chronic obstructive pulmonary disease · 2026Article
- Exosomal miR-2110 from PM2.5-Exposed Lung Epithelial Cells Targets SRSF1 to Promote M1 Macrophage Polarization and Inflammatory Responses in COPD.International journal of chronic obstructive pulmonary disease · 2026Article
- Machine learning assisted immune profiling of COPD identifies a unique emphysema subtype independent of GOLD stage.iScience · 2025Article
- Integrating bulk and single-cell RNA sequencing data: unveiling RNA methylation and autophagy-related signatures in chronic obstructive pulmonary disease patients.Scientific reports · 2025Article
- Single cell transcriptomics in blood of patients with chronic obstructive pulmonary disease.BMC pulmonary medicine · 2025Article
- scRNA-seq and scATAC-seq analyses highlight the role of TNF signaling pathway in chronic obstructive pulmonary disease model mice.PloS one · 2025Article
- Role and mechanism of IGFBP5 in the real-ambient particulate matter exposure-induced chronic lung injury.Frontiers in pharmacology · 2025Article
- Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning.Frontiers in medicine · 2025Article
- Deletion of endothelial IGFBP5 protects against ischaemic hindlimb injury by promoting angiogenesis.Clinical and translational medicine · 2024Article
- Article
- Deciphering the molecular regulatory of RAB32/GPRC5A axis in chronic obstructive pulmonary disease.Respiratory research · 2024Article
- Single-Cell Sequencing of Lung Macrophages and Monocytes Reveals Novel Therapeutic Targets in COPD.Cells · 2023Article
- Analysis of human lung mast cells by single cell RNA sequencing.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
21 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundWhole lung tissue transcriptomic profiling studies in chronic obstructive pulmonary disease (COPD) have led to the identification of several genes associated with the severity of airflow limitation and/or the presence of emphysema, however, the cell types driving these gene expression signatures remain unidentified.
methodsTo determine cell specific transcriptomic changes in severe COPD, we conducted single-cell RNA sequencing (scRNA seq) on n = 29,961 cells from the peripheral lung parenchymal tissue of nonsmoking subjects without underlying lung disease (n = 3) and patients with severe COPD (n = 3). The cell type composition and cell specific gene expression signature was assessed. Gene set enrichment analysis (GSEA) was used to identify the specific cell types contributing to the previously reported transcriptomic signatures.
resultsT-distributed stochastic neighbor embedding and clustering of scRNA seq data revealed a total of 17 distinct populations. Among them, the populations with more differentially expressed genes in cases vs. controls (log fold change >|0.4| and FDR = 0.05) were: monocytes (n = 1499); macrophages (n = 868) and ciliated epithelial cells (n = 590), respectively. Using GSEA, we found that only ciliated and cytotoxic T cells manifested a trend towards enrichment of the previously reported 127 regional emphysema gene signatures (normalized enrichment score [NES] = 1.28 and = 1.33, FDR = 0.085 and = 0.092 respectively). Among the significantly altered genes present in ciliated epithelial cells of the COPD lungs, QKI and IGFBP5 protein levels were also found to be altered in the COPD lungs.
conclusionsscRNA seq is useful for identifying transcriptional changes and possibly individual protein levels that may contribute to the development of emphysema in a cell-type specific manner.
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