通过综合分析多个数据集探索败血症相关脑病的分子机制

IF 3.7 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Qiulei Zhang , Chang Lu , Weixuan Fan , Yongjie Yin
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引用次数: 0

摘要

背景我们旨在研究与败血症相关脑病(SAE)有关的枢纽基因和信号通路。方法原始数据集来自基因表达总库(GEO)数据库(GSE198861 和 GSE167610)。R 软件过滤了差异表达基因(DEGs),以便利用这些基因进行京都基因组百科全书(KEGG)通路富集分析。枢纽基因是通过蛋白质-蛋白质相互作用(PPI)网络从 DEGs 的交叉点中识别出来的。并利用单细胞数据集(GSE101901)来验证枢纽基因在海马细胞中的表达位置。结果 在 GSE198861 和 GSE167610 数据集中共发现了 161 个 DEGs。生物功能分析显示,这些 DEGs 主要参与了吞噬体通路,并显著富集。PPI 网络提取了 10 个枢纽基因。M2巨噬细胞在急性期明显减少,枢纽基因可能在这一生物学过程中发挥作用。结论枢纽基因(Pecam1、Cdh5、Fcgr、C1qa、Vwf、Vegfa、C1qb、C1qc、Fcgr4和Fcgr2b)可能参与了SAE的生物学过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the molecular mechanism of sepsis-associated encephalopathy by integrated analysis of multiple datasets

Background

We aim to deal with the Hub-genes and signalling pathways connected with Sepsis-associated encephalopathy (SAE).

Methods

The raw datasets were acquired from the Gene Expression Omnibus (GEO) database (GSE198861 and GSE167610). R software filtered the differentially expressed genes (DEGs) for hub genes exploited for Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Hub genes were identified from the intersection of DEGs via protein–protein interaction (PPI) network. And the single-cell dataset (GSE101901) was used to authenticate where the hub genes express in hippocampus cells. Cell–cell interaction analysis and Gene Set Variation Analysis (GSVA) analysis of the whole transcriptome validated the interactions between hippocampal cells.

Results

A total of 161 DEGs were revealed in GSE198861 and GSE167610 datasets. Biological function analysis showed that the DEGs were primarily involved in the phagosome pathway and significantly enriched. The PPI network extracted 10 Hub genes. The M2 Macrophage cell decreased significantly during the acute period, and the hub gene may play a role in this biological process. The hippocampal variation pathway was associated with the MAPK signaling pathway.

Conclusion

Hub genes (Pecam1, Cdh5, Fcgr, C1qa, Vwf, Vegfa, C1qb, C1qc, Fcgr4 and Fcgr2b) may paticipate in the biological process of SAE.

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来源期刊
Cytokine
Cytokine 医学-免疫学
CiteScore
7.60
自引率
2.60%
发文量
262
审稿时长
48 days
期刊介绍: The journal Cytokine has an open access mirror journal Cytokine: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. * Devoted exclusively to the study of the molecular biology, genetics, biochemistry, immunology, genome-wide association studies, pathobiology, diagnostic and clinical applications of all known interleukins, hematopoietic factors, growth factors, cytotoxins, interferons, new cytokines, and chemokines, Cytokine provides comprehensive coverage of cytokines and their mechanisms of actions, 12 times a year by publishing original high quality refereed scientific papers from prominent investigators in both the academic and industrial sectors. We will publish 3 major types of manuscripts: 1) Original manuscripts describing research results. 2) Basic and clinical reviews describing cytokine actions and regulation. 3) Short commentaries/perspectives on recently published aspects of cytokines, pathogenesis and clinical results.
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