心脏肥大相关基因的生物信息学分析和验证。

IF 1.3 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY General physiology and biophysics Pub Date : 2023-03-01 DOI:10.4149/gpb_2022059
Ai Meng, Siang Wei, Lihuan Yan, Yao Xiao, Zhiwen Ding, Yan Feng
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引用次数: 0

摘要

在这项研究中,我们使用代偿性应激过载小鼠模型(横断主动脉收缩,TAC)和生物信息学筛选了涉及心肌肥厚(MH)的基因。下载微阵列,根据维恩图,得到三组数据交集。通过基因本体(GO)和京都基因与基因组百科全书(KEGG)分析基因功能,使用STRING数据库分析蛋白质-蛋白质相互作用(PPI)。建立小鼠主动脉弓结扎模型,验证和筛选中枢基因的表达。共筛选出53个(DEGs)基因和32个PPI基因。氧化石墨烯分析显示,DEGs主要参与细胞因子和肽抑制剂活性。KEGG分析的重点是ECM受体相互作用和破骨细胞分化。Expedia共表达基因网络分析显示,Serpina3n、Cdkn1a、Fos、Col5a2、Fn1和Timp1参与了MH的发生发展,RT-qPCR证实除Lox外,其余9个枢纽基因均在TAC小鼠中高表达。本研究为进一步研究MH的分子机制和分子标记的筛选奠定了基础。
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Bioinformatic analysis and validation of cardiac hypertrophy-related genes.

In this study, we have screened genes involved in myocardial hypertrophy (MH) using a mice model for compensatory stress overload (transverse aortic constriction, TAC) and bioinformatics. Microarrays were downloaded, and according to the Venn diagram, three groups of data intersections were obtained. Gene function was analyzed by Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG), whereas protein-protein interactions (PPI) were analyzed using the STRING database. A mouse aortic arch ligation model was established to verify and screen the expression of hub genes. A total of 53 (DEGs) and 32 PPI genes were screened out. GO analysis showed DEGs mainly involved in cytokine and peptide inhibitor activity. KEGG analysis focused on ECM receptor interaction and osteoclast differentiation. Expedia co-expression gene network analysis showed that Serpina3n, Cdkn1a, Fos, Col5a2, Fn1 and Timp1 participated in the occurrence and development of MH. RT-qPCR verified that all the other 9 hub genes except Lox were highly expressed in TAC mice. This study lays a foundation for further study on the molecular mechanism of MH and for screening of molecular markers.

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来源期刊
General physiology and biophysics
General physiology and biophysics 生物-生化与分子生物学
CiteScore
2.70
自引率
0.00%
发文量
42
审稿时长
6-12 weeks
期刊介绍: General Physiology and Biophysics is devoted to the publication of original research papers concerned with general physiology, biophysics and biochemistry at the cellular and molecular level and is published quarterly by the Institute of Molecular Physiology and Genetics, Slovak Academy of Sciences.
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