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微生物诱导的心血管疾病中宿主-病原体蛋白相互作用的网络分析

Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases.

作者信息

Singh Nirupma, Rai Sneha, Bhatnagar Rakesh, Bhatnagar Sonika

机构信息

Computational and Structural Biology Laboratory, Department of Biotechnology, Netaji Subhas Institute of Technology, Dwarka, New Delhi, India.

Amity University, Jaipur, Rajasthan, India.

出版信息

In Silico Biol. 2021;14(3-4):115-133. doi: 10.3233/ISB-210238.

Abstract

Large-scale visualization and analysis of HPIs involved in microbial CVDs can provide crucial insights into the mechanisms of pathogenicity. The comparison of CVD associated HPIs with the entire set of HPIs can identify the pathways specific to CVDs. Therefore, topological properties of HPI networks in CVDs and all pathogens was studied using Cytoscape3.5.1. Ontology and pathway analysis were done using KOBAS 3.0. HPIs of Papilloma, Herpes, Influenza A virus as well as Yersinia pestis and Bacillus anthracis among bacteria were predominant in the whole (wHPI) and the CVD specific (cHPI) network. The central viral and secretory bacterial proteins were predicted virulent. The central viral proteins had higher number of interactions with host proteins in comparison with bacteria. Major fraction of central and essential host proteins interacts with central viral proteins. Alpha-synuclein, Ubiquitin ribosomal proteins, TATA-box-binding protein, and Polyubiquitin-C &B proteins were the top interacting proteins specific to CVDs. Signaling by NGF, Fc epsilon receptor, EGFR and ubiquitin mediated proteolysis were among the top enriched CVD specific pathways. DEXDc and HELICc were enriched host mimicry domains that may help in hijacking of cellular machinery by pathogens. This study provides a system level understanding of cardiac damage in microbe induced CVDs.

摘要

对参与微生物性心血管疾病的人类致病岛(HPIs)进行大规模可视化和分析,可为致病性机制提供关键见解。将与心血管疾病相关的HPIs与整个HPIs集合进行比较,可识别出心血管疾病特有的途径。因此,使用Cytoscape3.5.1研究了心血管疾病和所有病原体中HPI网络的拓扑特性。使用KOBAS 3.0进行本体和途径分析。乳头瘤、疱疹、甲型流感病毒以及细菌中的鼠疫耶尔森菌和炭疽芽孢杆菌的HPIs在整个(wHPI)和心血管疾病特异性(cHPI)网络中占主导地位。预测中心病毒蛋白和分泌性细菌蛋白具有毒性。与细菌相比,中心病毒蛋白与宿主蛋白的相互作用数量更多。大部分中心和必需的宿主蛋白与中心病毒蛋白相互作用。α-突触核蛋白、泛素核糖体蛋白、TATA框结合蛋白以及多聚泛素-C和B蛋白是心血管疾病特有的顶级相互作用蛋白。NGF、Fcε受体、EGFR信号传导和泛素介导的蛋白水解是顶级富集的心血管疾病特异性途径。DEXDc和HELICc是富集的宿主模拟结构域,可能有助于病原体劫持细胞机制。本研究提供了对微生物诱导的心血管疾病中心脏损伤的系统层面理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44fd/8842779/ecbc3fe4e3e3/isb-14-isb210238-g001.jpg

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