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全转录组关联研究和 mRNA 表达谱的整合分析鉴定与强直性脊柱炎相关的候选基因和通路。

Transcriptome-Wide Association Studies and Integration Analysis of mRNA Expression Profiles Identify Candidate Genes and Pathways Associated With Ankylosing Spondylitis.

机构信息

Department of Joint Surgery, HongHui Hospital, Xian Jiaotong University, Xi'an, China.

Department of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

出版信息

Front Immunol. 2022 May 10;13:814303. doi: 10.3389/fimmu.2022.814303. eCollection 2022.

Abstract

This study aimed to identify susceptibility genes and pathways associated with ankylosing spondylitis (AS) by integrating whole transcriptome-wide association study (TWAS) analysis and mRNA expression profiling data. AS genome-wide association study (GWAS) summary data from the large GWAS database were used. This included data of 1265 AS patients and 452264 controls. A TWAS of AS was conducted using these data. The analysis software used was FUSION, and Epstein-Barr virus-transformed lymphocytes, transformed fibroblasts, peripheral blood, and whole blood were used as gene expression references. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed for the important genes identified TWAS. Protein-protein interaction (PPI) network analysis based on the STRING database was also performed to detect genes shared by TWAS and mRNA expression profiles in AS. TWAS identified 920 genes (P <0.05) and analyzed mRNA expression profiles to obtain 1183 differential genes. Following comparison of the TWAS results and mRNA expression characteristics, we obtained 70 overlapping genes and performed GO and KEGG enrichment analyses of these genes to obtain 16 pathways. PPI network analysis, we obtained the protein interaction network and performed MCODE analysis to acquire the HUB genes. Similarly, we performed GO and KEGG analyses on the genes identified by TWAS, obtained 98 pathways after screening, and analyzed protein interactions the PPI network. Through the integration of TWAS and mRNA expression analysis, genes related to AS and GO and KEGG terms were determined, providing new evidence and revealing the pathogenesis of AS. Our AS TWAS work identified novel genes associated with AS, as well as suggested potential tissues and pathways of action for these TWAS AS genes, providing a new direction for research into the pathogenesis of AS.

摘要

本研究旨在通过整合全转录组关联研究(TWAS)分析和 mRNA 表达谱数据,鉴定与强直性脊柱炎(AS)相关的易感基因和途径。使用了来自大型 GWAS 数据库的 AS 全基因组关联研究(GWAS)汇总数据。这包括 1265 名 AS 患者和 452264 名对照的数据。使用这些数据进行了 AS 的 TWAS。分析软件使用的是 FUSION,使用 Epstein-Barr 病毒转化的淋巴细胞、转化的成纤维细胞、外周血和全血作为基因表达参考。对 TWAS 中确定的重要基因进行了基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析。还基于 STRING 数据库进行了蛋白质-蛋白质相互作用(PPI)网络分析,以检测 TWAS 和 AS mRNA 表达谱中共享的基因。TWAS 确定了 920 个基因(P <0.05),并分析了 mRNA 表达谱,得到了 1183 个差异基因。比较 TWAS 结果和 mRNA 表达特征后,我们获得了 70 个重叠基因,并对这些基因进行了 GO 和 KEGG 富集分析,得到了 16 条途径。通过 PPI 网络分析,我们获得了蛋白质相互作用网络,并进行了 MCODE 分析以获得 HUB 基因。同样,我们对 TWAS 鉴定的基因进行了 GO 和 KEGG 分析,筛选后得到 98 条途径,并对 PPI 网络中的蛋白质相互作用进行了分析。通过 TWAS 和 mRNA 表达分析的整合,确定了与 AS 相关的基因以及 GO 和 KEGG 术语,为 AS 的发病机制提供了新的证据,并揭示了 AS 的发病机制。我们的 AS TWAS 工作确定了与 AS 相关的新基因,并提出了这些 TWAS AS 基因潜在的作用组织和途径,为研究 AS 的发病机制提供了新的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e8/9128383/5c46d40d359b/fimmu-13-814303-g001.jpg

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