Transcriptomic profiles of single-cell autophagy-related genes (ATGs) in lung diseases

• DOI: 10.1007/s10565-025-09990-w
• Publication Date: 2025-02-07T16:52:45Z
• Authors: Xuanqi Liu; Linlin Zhang; Liyang Li; Jiayun Hou; Mengjia Qian; Nannan Zheng; Yifei Liu; Yuanlin Song

Autophagy related genes (ATGs) play essential roles in maintaining cellular functions, although biological and pathological alterations of ATG phenotypes remain poorly understood. To address this knowledge gap, we utilized the single-cell sequencing technology to elucidate transcriptomic atlas ATGs lung diseases, with a focus on epithelium lymphocytes. This study conducted comprehensive investigation into RNA profiles tissues obtained from healthy subjects patients different diseases through (scRNA-seq), including COVID-19 acute damage, idiopathic pulmonary fibrosis (IPF), chronic obstructive disease (COPD), systemic sclerosis (SSC), adenocarcinoma (LUAD). Our findings revealed significant variations expression across epithelial cell subsets, e.g., over-expression MAPK8 basal cells, ATG10 club BCL2 goblet subset. The changes autophagy-related pathways varied between lymphocyte subsets. We identified disease-associated expression, BCL2, BCL2L1, PRKCD, PRKCQ inflammatory (COPD IPF), MAP2K7, MAPK3, RHEB cancer (LUAD), as compared normal tissues. Key ligand-receptor pairs (e.g., CD6-ALCAM, CD99-CD99) signaling APP, CD74) might serve biomarkers for diseases. evaluate responses external challenges, examined lines exposed cigarette smoking extract (CSE), lysophosphatidylcholine (lysoPC), lipopolysaccharide (LPS), cholesterol at various doses durations. Notable were observed CFLAR, EIF2S1, PPP2CA, PPP2CB A549 H1299 against CSE LPS. heterogeneity was dependent pathologic conditions, well among phenotypes, behaviors, severity In conclusion, our data provide new insights biology pathogenesis, implications progression prognosis.