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

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...

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Autores principales: Singh, Nirupma, Rai, Sneha, Bhatnagar, Rakesh, Bhatnagar, Sonika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842779/
https://www.ncbi.nlm.nih.gov/pubmed/35001887
http://dx.doi.org/10.3233/ISB-210238
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author Singh, Nirupma
Rai, Sneha
Bhatnagar, Rakesh
Bhatnagar, Sonika
author_facet Singh, Nirupma
Rai, Sneha
Bhatnagar, Rakesh
Bhatnagar, Sonika
author_sort Singh, Nirupma
collection PubMed
description 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.
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spelling pubmed-88427792022-03-02 Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases Singh, Nirupma Rai, Sneha Bhatnagar, Rakesh Bhatnagar, Sonika In Silico Biol Research Article 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. IOS Press 2022-01-07 /pmc/articles/PMC8842779/ /pubmed/35001887 http://dx.doi.org/10.3233/ISB-210238 Text en © 2021 – The authors. Published by IOS Press https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Singh, Nirupma
Rai, Sneha
Bhatnagar, Rakesh
Bhatnagar, Sonika
Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases
title Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases
title_full Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases
title_fullStr Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases
title_full_unstemmed Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases
title_short Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases
title_sort network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842779/
https://www.ncbi.nlm.nih.gov/pubmed/35001887
http://dx.doi.org/10.3233/ISB-210238
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