Identification and experimental validation of ulcerative colitis-associated hub genes through integrated WGCNA and lysosomal autophagy analysis.

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY
Yuanpei Zhao, Yijun Li, Qingwen Xu, Lili Ding, Weiming Li, Qinghua Zou, Yichen Hu, Kaiwen Shi, Hongyuan Liu
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引用次数: 0

Abstract

Objective: This study aims to systematically identify differentially expressed genes associated with lysosomal autophagy in ulcerative colitis (UC) and validate key candidate genes in an animal model, thereby providing novel insights driving UC pathogenesis.

Methods: The GSE47908 dataset from the Gene Expression Omnibus (GEO) was subjected to principal component analysis (PCA), followed by stratified identification of differentially expressed genes (DEGs) across UC subtypes. Immune cell infiltration of these gene sets was evaluated using the CIBERSORT algorithm. Lysophagy-related genes set were retrieved from the GeneCards database. Bioinformatics methods were employed to stratify UC DEGs, weighted gene co-expression network analysis (WGCNA) module genes, and lysophagy-associated DEGs, which were then subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A protein-protein interaction (PPI) network was constructed via the STRING database, and Cytoscape was used to identify core genes highly associated with lysophagy. Core genes were validated using external datasets, and experimental UC mouse model was established to confirm their expression levels by real-time quantitative reverse transcription PCR (RT-qPCR).

Results: PCA of the GSE47908 dataset across UC subtypes revealed distinct spatial separation, integrated and subgroup analyses identified lysophagy-related key genes, and enrichment analyses demonstrated differences in core genes and pathways between overall UC and its subtypes. A PPI network highlighted five hub genes in UC (CASP1, CXCL1, LCN2, PSMB9, AGT). Upregulation of these genes was confirmed via external datasets and animal experiments. Moreover, immune infiltration analysis of UC samples demonstrated immune dysregulation during disease progression, underscoring the interplay between lysophagy and inflammation in UC.

Conclusion: The five genes identified-CASP1, CXCL1, LCN2, PSMB9, and AGT-exhibit strong associations with lysosomal autophagy. Our findings suggest that these genes may function as critical regulators of lysosomal autophagy in UC.

通过整合WGCNA和溶酶体自噬分析鉴定溃疡性结肠炎相关枢纽基因并进行实验验证。
目的:本研究旨在系统鉴定溃疡性结肠炎(UC)溶酶体自噬相关差异表达基因,并在动物模型中验证关键候选基因,从而为UC的发病机制提供新的见解。方法:采用主成分分析(PCA)对来自基因表达综合数据库(GEO)的GSE47908数据集进行主成分分析,然后对UC亚型的差异表达基因(DEGs)进行分层鉴定。使用CIBERSORT算法评估这些基因集的免疫细胞浸润。从GeneCards数据库中检索lysophagy相关基因集。采用生物信息学方法对UC deg、加权基因共表达网络分析(WGCNA)模块基因和溶食相关deg进行分层,然后对其进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。通过STRING数据库构建蛋白-蛋白相互作用(PPI)网络,并利用Cytoscape识别与溶噬高度相关的核心基因。利用外部数据集验证核心基因,建立UC小鼠实验模型,通过实时定量反转录PCR (RT-qPCR)验证其表达水平。结果:不同UC亚型的GSE47908数据集的PCA显示出明显的空间分离,整合和亚群分析鉴定出了与溶血相关的关键基因,富集分析显示了UC与UC亚型之间核心基因和通路的差异。PPI网络突出了UC中的5个中心基因(CASP1, CXCL1, LCN2, PSMB9, AGT)。通过外部数据集和动物实验证实了这些基因的上调。此外,UC样本的免疫浸润分析显示在疾病进展过程中免疫失调,强调了UC中溶噬和炎症之间的相互作用。结论:所鉴定的5个基因casp1、CXCL1、LCN2、PSMB9和agt与溶酶体自噬有很强的相关性。我们的研究结果表明,这些基因可能是UC溶酶体自噬的关键调节因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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