Comparison of cell subsets in chronic obstructive pulmonary disease and controls based on single-cell transcriptome sequencing

Abstract

BACKGROUND: Currently, chronic obstructive pulmonary disease (COPD) significantly impacts patients’ quality of life and survival as it has a high morbidity and mortality rate. COPD progression is associated with infiltration of adaptive inflammatory immune cells that form lymphatic follicles into the lung. OBJECTIVE: The rapid development of single-cell RNA sequencing technology (scRNA-seq) provided us with powerful tools for studying the classification of cell subtypes. Additionally, it is known that COPD is closely related to the abnormal function of long-chain non-coding RNAs (lncRNAs), and scRNA-seq can help to study the expression of lncRNA from a single cell level. METHODS: We reanalyzed the scRNA-seq data of peripheral blood mononuclear cells of COPD patients downloaded from Gene Expression Omnibus (GEO) database, and performed the mRNA-based and lncRNA-based single cell clustering to compare the cell subsets in COPD and controls without COPD. Furthermore, we performed Gene Ontology (GO) enrichment analysis for the top ranked differentially expressed genes and target genes of differentially expressed lncRNAs in different cell subtypes for COPD and controls respectively. RESULTS: Differences in cell subtypes were found between COPD and controls. CONCLUSION: This study may help us to further understand the mechanism of the human adaptive immune cell response of COPD.