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Hepatitis C Virus Protein Interaction Network Analysis Based on Hepatocellular Carcinoma
Epidemiological studies have validated the association between hepatitis C virus (HCV) infection and hepatocellular carcinoma (HCC). An increasing number of studies show that protein-protein interactions (PPIs) between HCV proteins and host proteins play a vital role in infection and mediate HCC pro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846009/ https://www.ncbi.nlm.nih.gov/pubmed/27115606 http://dx.doi.org/10.1371/journal.pone.0153882 |
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author | Han, Yuewen Niu, Jun Wang, Dong Li, Yuanyuan |
author_facet | Han, Yuewen Niu, Jun Wang, Dong Li, Yuanyuan |
author_sort | Han, Yuewen |
collection | PubMed |
description | Epidemiological studies have validated the association between hepatitis C virus (HCV) infection and hepatocellular carcinoma (HCC). An increasing number of studies show that protein-protein interactions (PPIs) between HCV proteins and host proteins play a vital role in infection and mediate HCC progression. In this work, we collected all published interaction between HCV and human proteins, which include 455 unique human proteins participating in 524 HCV-human interactions. Then, we construct the HCV-human and HCV-HCC protein interaction networks, which display the biological knowledge regarding the mechanism of HCV pathogenesis, particularly with respect to pathogenesis of HCC. Through in-depth analysis of the HCV-HCC interaction network, we found that interactors are enriched in the JAK/STAT, p53, MAPK, TNF, Wnt, and cell cycle pathways. Using a random walk with restart algorithm, we predicted the importance of each protein in the HCV-HCC network and found that AKT1 may play a key role in the HCC progression. Moreover, we found that NS5A promotes HCC cells proliferation and metastasis by activating AKT/GSK3β/β-catenin pathway. This work provides a basis for a detailed map tracking new cellular interactions of HCV and identifying potential targets for HCV-related hepatocellular carcinoma treatment. |
format | Online Article Text |
id | pubmed-4846009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48460092016-05-05 Hepatitis C Virus Protein Interaction Network Analysis Based on Hepatocellular Carcinoma Han, Yuewen Niu, Jun Wang, Dong Li, Yuanyuan PLoS One Research Article Epidemiological studies have validated the association between hepatitis C virus (HCV) infection and hepatocellular carcinoma (HCC). An increasing number of studies show that protein-protein interactions (PPIs) between HCV proteins and host proteins play a vital role in infection and mediate HCC progression. In this work, we collected all published interaction between HCV and human proteins, which include 455 unique human proteins participating in 524 HCV-human interactions. Then, we construct the HCV-human and HCV-HCC protein interaction networks, which display the biological knowledge regarding the mechanism of HCV pathogenesis, particularly with respect to pathogenesis of HCC. Through in-depth analysis of the HCV-HCC interaction network, we found that interactors are enriched in the JAK/STAT, p53, MAPK, TNF, Wnt, and cell cycle pathways. Using a random walk with restart algorithm, we predicted the importance of each protein in the HCV-HCC network and found that AKT1 may play a key role in the HCC progression. Moreover, we found that NS5A promotes HCC cells proliferation and metastasis by activating AKT/GSK3β/β-catenin pathway. This work provides a basis for a detailed map tracking new cellular interactions of HCV and identifying potential targets for HCV-related hepatocellular carcinoma treatment. Public Library of Science 2016-04-26 /pmc/articles/PMC4846009/ /pubmed/27115606 http://dx.doi.org/10.1371/journal.pone.0153882 Text en © 2016 Han et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Han, Yuewen Niu, Jun Wang, Dong Li, Yuanyuan Hepatitis C Virus Protein Interaction Network Analysis Based on Hepatocellular Carcinoma |
title | Hepatitis C Virus Protein Interaction Network Analysis Based on Hepatocellular Carcinoma |
title_full | Hepatitis C Virus Protein Interaction Network Analysis Based on Hepatocellular Carcinoma |
title_fullStr | Hepatitis C Virus Protein Interaction Network Analysis Based on Hepatocellular Carcinoma |
title_full_unstemmed | Hepatitis C Virus Protein Interaction Network Analysis Based on Hepatocellular Carcinoma |
title_short | Hepatitis C Virus Protein Interaction Network Analysis Based on Hepatocellular Carcinoma |
title_sort | hepatitis c virus protein interaction network analysis based on hepatocellular carcinoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846009/ https://www.ncbi.nlm.nih.gov/pubmed/27115606 http://dx.doi.org/10.1371/journal.pone.0153882 |
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