研究细胞压力相关途径中 D-氨基酸氧化酶的表达和相互作用网络分析:对衰老生物学的影响。

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Bioinformatics and Biology Insights Pub Date : 2024-02-28 eCollection Date: 2024-01-01 DOI:10.1177/11779322241234772
V Kalidasan, Darshinie Suresh, Nurulisa Zulkifle, Yap Siew Hwei, Leong Kok Hoong, Reena Rajasuriar, Kumitaa Theva Das
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引用次数: 0

摘要

D-氨基酸氧化酶(DAO)是一种黄酶,通过氧化脱氨基作用代谢D-氨基酸,产生过氧化氢(H2O2)作为副产品。细胞内 H2O2 的产生可能会改变细胞的氧化还原平衡机制,增加组织中的氧化应激水平,与老年相关疾病和器官衰退的发病机制有关。本研究利用聚类规律性间隔短回文重复序列(CRISPR),通过硅学方法研究了敲除DAO对其蛋白-蛋白相互作用(PPIs)的影响及其在衰老过程中的潜在作用。研究人员利用CCTop数据库设计了DAO的靶序列和引导RNA,利用检索相互作用基因/蛋白的搜索工具(STRING)数据库进行了PPI分析,利用基因本体(GO)和京都基因和基因组百科全书(KEGG)进行了分析,利用Reactome生物通路进行了分析,利用GalaxyTongDock数据库进行了蛋白对接,并进行了结构分析。DAO 的翻译靶序列位于 43 至 50 个氨基酸之间。预测与 DAO 相互作用的 10 个蛋白质涉及过氧化物酶体通路,如酰基辅酶 A 氧化酶 1(ACOX1)、丙氨酸-乙醛酸和丝氨酸-丙酮酸氨基转移酶(AGXT)、过氧化氢酶(CAT)、肉碱 O-乙酰基转移酶(CRAT)、甘油磷酸 O-乙酰转移酶(GNPAT)、羟基酸氧化酶 1(HAO1)、羟基酸氧化酶 2(HAO2)、反式-L-3-羟基脯氨酸脱水酶(L3HYPDH)、多胺氧化酶(PAOX)以及哌啶醇酸和肌氨酸氧化酶(PIPOX)。总之,DAO 基因突变很可能会降低与其产生 H2O2 的相互作用蛋白的活性。然而,DAO 突变可能会导致过氧化物酶体紊乱,因此应考虑采用其他技术来进行体内研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating D-Amino Acid Oxidase Expression and Interaction Network Analyses in Pathways Associated With Cellular Stress: Implications in the Biology of Aging.

D-amino acid oxidase (DAO) is a flavoenzyme that metabolizes D-amino acids by oxidative deamination, producing hydrogen peroxide (H2O2) as a by-product. The generation of intracellular H2O2 may alter the redox-homeostasis mechanism of cells and increase the oxidative stress levels in tissues, associated with the pathogenesis of age-related diseases and organ decline. This study investigates the effect of DAO knockdown using clustered regularly interspaced short palindromic repeats (CRISPR) through an in silico approach on its protein-protein interactions (PPIs) and their potential roles in the process of aging. The target sequence and guide RNA of DAO were designed using the CCTop database, PPI analysis using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, Reactome biological pathway, protein docking using GalaxyTongDock database, and structure analysis. The translated target sequence of DAO lies between amino acids 43 to 50. The 10 proteins that were predicted to interact with DAO are involved in peroxisome pathways such as acyl-coenzyme A oxidase 1 (ACOX1), alanine-glyoxylate and serine-pyruvate aminotransferase (AGXT), catalase (CAT), carnitine O-acetyltransferase (CRAT), glyceronephosphate O-acyltransferase (GNPAT), hydroxyacid oxidase 1 (HAO1), hydroxyacid oxidase 2 (HAO2), trans-L-3-hydroxyproline dehydratase (L3HYPDH), polyamine oxidase (PAOX), and pipecolic acid and sarcosine oxidase (PIPOX). In summary, DAO mutation would most likely reduce activity with its interacting proteins that generate H2O2. However, DAO mutation may result in peroxisomal disorders, and thus, alternative techniques should be considered for an in vivo approach.

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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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