综合单细胞和全转录组分析揭示肺动脉高压患者中单核细胞/巨噬细胞衰老相关候选基因
Integrative single-cell and bulk transcriptomic analysis identifies monocyte/macrophage senescence-associated candidate genes in pulmonary arterial hypertension
Xiaojun Chen, Weibin Wu, Yilong Liu, Guili Lian, Qingquan Liu
Journal:Frontiers in Immunology
IF:7
DOI:10.3389/fimmu.2026.1938985
PMID:
Published:2026-09-25
research field:肿瘤学癌症代谢分子生物学药理学细胞生物学血液学遗传学与基因组学
Abstract
BackgroundPulmonary arterial hypertension (PAH) is a progressive vascular disorder characterized by immune dysregulation and vascular remodeling. Cellular senescence modulates immune responses, but its role in PAH, particularly in monocytes/macrophages, remains unclear. Here, we integrated single-cell and bulk transcriptomic data to identify senescence-associated candidate genes associated with monocytes/macrophages in PAH.MethodsPublicly available single-cell RNA-seq data from PAH and control pulmonary vascular tissues were analyzed. A senescence-associated score was calculated for each cell based on MSigDB gene sets. Senescence-associated genes in monocytes/macrophages were identified through correlation and differential expression screening, and further examined in bulk transcriptomic datasets. Bulk transcriptomic discovery used GSE113439, GSE117261, and GSE254617. A sample-title audit identified 68 shared PHBI identifiers between GSE117261 and GSE254617; therefore, the merged data represented 257 expression profiles from 189 unique subjects. LASSO, Random Forest, and XGBoost were used as complementary feature-selection approaches, and genes jointly retained by the three algorithms were defined as candidates for evaluation in independent cohorts.ResultsSingle-cell RNA-seq identified 14 cell types in PAH pulmonary vascular tissues, with dendritic cells, T cells, and monocytes/macrophages exhibiting the highest senescence-associated scores. Integrative screening identified 405 senescence-associated genes enriched in monocytes/macrophages. Multi-algorithm screening prioritized 10 candidate genes for subsequent evaluation. After within-cohort multiple-testing correction, external cohort analyses reproduced the discovery-stage expression directions for RGS1, PHLDA1, MAFB, and RNF13 in lung tissue cohorts, and for MAFB in a PBMC cohort. With nominal P values, RGS1 was significantly upregulated in GSE48149 and GSE53408 (both lung), and PHLDA1 was upregulated in GSE4814
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