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生物信息学分析揭示小鼠模型升主动脉组织中细胞周期相关基因上调

Bioinformatics Analysis Reveals Cell Cycle-Related Gene Upregulation in Ascending Aortic Tissues From Murine Models.

作者信息

Zhang Xiaoping, Yang Zuozhen, Li Xiaoyan, Liu Xuxia, Wang Xipeng, Qiu Tao, Wang Yueli, Li Tongxun, Li Qingle

机构信息

Beijing Anzhen Hospital, Capital Medical University, Beijing, China.

Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China.

出版信息

Front Genet. 2022 Mar 8;13:823769. doi: 10.3389/fgene.2022.823769. eCollection 2022.

DOI:10.3389/fgene.2022.823769
PMID:35356426
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8959095/
Abstract

Thoracic aortic aneurysm and dissection (TAAD) is a high-risk aortic disease. Mouse models are usually used to explore the pathological progression of TAAD. In our studies, we performed bioinformatics analysis on a microarray dataset (GSE36778) and verified experiments to define the integrated hub genes of TAAD in three different mouse models. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein-protein interaction (PPI) network analyses, and histological and quantitative reverse transcription-PCR (qRT-PCR) experiments were used in our study. First, differentially expressed genes (DEGs) were identified, and twelve common differentially expressed genes were found. Second, genes related to the cell cycle and inflammation were enriched by using GO and PPI. We focused on filtering and validating eighteen hub genes that were upregulated. Then, expression data from human ascending aortic tissues in the GSE153434 dataset were also used to verify our findings. These results indicated that cell cycle-related genes participate in the pathological mechanism of TAAD and provide new insight into the molecular mechanisms of TAAD.

摘要

胸主动脉瘤和夹层(TAAD)是一种高危主动脉疾病。小鼠模型通常用于探究TAAD的病理进展。在我们的研究中,我们对一个微阵列数据集(GSE36778)进行了生物信息学分析,并通过验证实验来确定三种不同小鼠模型中TAAD的综合核心基因。我们的研究使用了基因本体论(GO)、京都基因与基因组百科全书(KEGG)和蛋白质-蛋白质相互作用(PPI)网络分析,以及组织学和定量逆转录-聚合酶链反应(qRT-PCR)实验。首先,鉴定出差异表达基因(DEG),并发现了12个常见的差异表达基因。其次,利用GO和PPI富集了与细胞周期和炎症相关的基因。我们着重筛选和验证了18个上调的核心基因。然后,还使用了GSE153434数据集中人类升主动脉组织的表达数据来验证我们的发现。这些结果表明,细胞周期相关基因参与了TAAD的病理机制,并为TAAD的分子机制提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/fc7946bd2a3a/fgene-13-823769-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/e840e0c46593/fgene-13-823769-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/950ede06c442/fgene-13-823769-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/0d51a5aafdee/fgene-13-823769-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/fc7946bd2a3a/fgene-13-823769-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/e840e0c46593/fgene-13-823769-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/4ac7723438c7/fgene-13-823769-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/f4e76cee5cb8/fgene-13-823769-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/4427d12eca89/fgene-13-823769-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/950ede06c442/fgene-13-823769-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/0d51a5aafdee/fgene-13-823769-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db5e/8959095/fc7946bd2a3a/fgene-13-823769-g007.jpg

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