生物
免疫系统
转录组
基因
脂质代谢
CD8型
免疫学
RNA干扰
基因表达
遗传学
核糖核酸
内分泌学
作者
Yuanmin Jia,Haixia Wang,Bin Ma,Zeyi Zhang,Jingjing Wang,Jin Wang,Ou Chen
出处
期刊:BMC Genomics
[Springer Nature]
日期:2024-02-01
卷期号:25 (1)
被引量:2
标识
DOI:10.1186/s12864-023-09795-3
摘要
Lipid metabolism plays a pivotal role in asthma pathogenesis. However, a comprehensive analysis of the importance of lipid metabolism-related genes (LMRGs) in regulating the immune microenvironment in asthma remains lacking. The transcriptome matrix was downloaded from the Gene Expression Omnibus (GEO) dataset. Differentially expressed analysis and weighted gene coexpression network analysis (WGCNA) were conducted on the GSE74986 dataset to select hub LMRGs, and gene set enrichment analysis (GSEA) was conducted to explore their biological functions. The CIBERSORT algorithm was used to determine immune infiltration in the asthma and control groups, and the correlation of diagnostic biomarkers and immune cells was performed via Spearman correlation analysis. Subsequently, a competitive endogenous RNA (ceRNA) network was constructed to investigate the hidden molecular mechanism of asthma. The expression levels of the hub genes were further validated in the GSE143192 dataset, and RT‒qPCR and immunofluorescence were performed to verify the reliability of the results in the OVA asthma model. Lastly, the ceRNA network was confirmed by qRT-PCR and RNAi experiments in the characteristic cytokine (IL-13)-induced asthma cellular model.
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