Diffusion of information throughout the host interactome reveals gene expression variations in network proximity to target proteins of hepatitis C virus
Hepatitis C virus infection is one of the most common and chronic in the world, and hepatitis associated with HCV infection is a major risk factor for the development of cirrhosis and hepatocellular carcinoma (HCC). The rapidly growing number of viral-host and host protein-protein interactions is en...
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description | Hepatitis C virus infection is one of the most common and chronic in the world, and hepatitis associated with HCV infection is a major risk factor for the development of cirrhosis and hepatocellular carcinoma (HCC). The rapidly growing number of viral-host and host protein-protein interactions is enabling more and more reliable network-based analyses of viral infection supported by omics data. The study of molecular interaction networks helps to elucidate the mechanistic pathways linking HCV molecular activities and the host response that modulates the stepwise hepatocarcinogenic process from preneoplastic lesions (cirrhosis and dysplasia) to HCC. Simulating the impact of HCV-host molecular interactions throughout the host protein-protein interaction (PPI) network, we ranked the host proteins in relation to their network proximity to viral targets. We observed that the set of proteins in the neighborhood of HCV targets in the host interactome is enriched in key players of the host response to HCV infection. In opposition to HCV targets, subnetworks of proteins in network proximity to HCV targets are significantly enriched in proteins reported as differentially expressed in preneoplastic and neoplastic liver samples by two independent studies. Using multi-objective optimization, we extracted subnetworks that are simultaneously "guilt-by-association" with HCV proteins and enriched in proteins differentially expressed. These subnetworks contain established, recently proposed and novel candidate proteins for the regulation of the mechanisms of liver cells response to chronic HCV infection. |
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The rapidly growing number of viral-host and host protein-protein interactions is enabling more and more reliable network-based analyses of viral infection supported by omics data. The study of molecular interaction networks helps to elucidate the mechanistic pathways linking HCV molecular activities and the host response that modulates the stepwise hepatocarcinogenic process from preneoplastic lesions (cirrhosis and dysplasia) to HCC. Simulating the impact of HCV-host molecular interactions throughout the host protein-protein interaction (PPI) network, we ranked the host proteins in relation to their network proximity to viral targets. We observed that the set of proteins in the neighborhood of HCV targets in the host interactome is enriched in key players of the host response to HCV infection. In opposition to HCV targets, subnetworks of proteins in network proximity to HCV targets are significantly enriched in proteins reported as differentially expressed in preneoplastic and neoplastic liver samples by two independent studies. Using multi-objective optimization, we extracted subnetworks that are simultaneously "guilt-by-association" with HCV proteins and enriched in proteins differentially expressed. These subnetworks contain established, recently proposed and novel candidate proteins for the regulation of the mechanisms of liver cells response to chronic HCV infection.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0113660</identifier><identifier>PMID: 25461596</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and life sciences ; Carcinoma, Hepatocellular - genetics ; Carcinoma, Hepatocellular - virology ; Chronic infection ; Cirrhosis ; Computer and Information Sciences ; Dysplasia ; Enrichment ; Gene expression ; Gene Expression Regulation, Viral ; Gene Regulatory Networks ; Health aspects ; Health risks ; Hepacivirus - genetics ; Hepacivirus - metabolism ; Hepacivirus - pathogenicity ; Hepatitis ; Hepatitis C ; Hepatitis C - genetics ; Hepatitis C - pathology ; Hepatitis C - virology ; Hepatitis C virus ; Hepatocellular carcinoma ; Hepatocytes ; Hepatocytes - metabolism ; Hepatocytes - virology ; Host-Pathogen Interactions - genetics ; Humans ; Infection ; Lesions ; Liver ; Liver cancer ; Liver cirrhosis ; Liver Cirrhosis - genetics ; Liver Cirrhosis - pathology ; Liver Cirrhosis - virology ; Liver Neoplasms - genetics ; Liver Neoplasms - virology ; Medicine and Health Sciences ; Molecular chains ; Molecular interactions ; Multiple objective analysis ; Optimization ; Protein interaction ; Protein Interaction Maps - genetics ; Protein-protein interactions ; Proteins ; Proximity ; Research and Analysis Methods ; Risk factors ; Viral Proteins - biosynthesis ; Virus diseases ; Viruses</subject><ispartof>PloS one, 2014-12, Vol.9 (12), p.e113660-e113660</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Mosca et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Mosca et al 2014 Mosca et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-7493daa0dbd5f1a56d325cf0d6f63abba0ae8f31eda57a60bc31bd1888e0ce083</citedby><cites>FETCH-LOGICAL-c692t-7493daa0dbd5f1a56d325cf0d6f63abba0ae8f31eda57a60bc31bd1888e0ce083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251971/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251971/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25461596$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ray, Ranjit</contributor><creatorcontrib>Mosca, Ettore</creatorcontrib><creatorcontrib>Alfieri, Roberta</creatorcontrib><creatorcontrib>Milanesi, Luciano</creatorcontrib><title>Diffusion of information throughout the host interactome reveals gene expression variations in network proximity to target proteins of hepatitis C virus</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Hepatitis C virus infection is one of the most common and chronic in the world, and hepatitis associated with HCV infection is a major risk factor for the development of cirrhosis and hepatocellular carcinoma (HCC). The rapidly growing number of viral-host and host protein-protein interactions is enabling more and more reliable network-based analyses of viral infection supported by omics data. The study of molecular interaction networks helps to elucidate the mechanistic pathways linking HCV molecular activities and the host response that modulates the stepwise hepatocarcinogenic process from preneoplastic lesions (cirrhosis and dysplasia) to HCC. Simulating the impact of HCV-host molecular interactions throughout the host protein-protein interaction (PPI) network, we ranked the host proteins in relation to their network proximity to viral targets. We observed that the set of proteins in the neighborhood of HCV targets in the host interactome is enriched in key players of the host response to HCV infection. In opposition to HCV targets, subnetworks of proteins in network proximity to HCV targets are significantly enriched in proteins reported as differentially expressed in preneoplastic and neoplastic liver samples by two independent studies. Using multi-objective optimization, we extracted subnetworks that are simultaneously "guilt-by-association" with HCV proteins and enriched in proteins differentially expressed. These subnetworks contain established, recently proposed and novel candidate proteins for the regulation of the mechanisms of liver cells response to chronic HCV infection.</description><subject>Biology and life sciences</subject><subject>Carcinoma, Hepatocellular - genetics</subject><subject>Carcinoma, Hepatocellular - virology</subject><subject>Chronic infection</subject><subject>Cirrhosis</subject><subject>Computer and Information Sciences</subject><subject>Dysplasia</subject><subject>Enrichment</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Viral</subject><subject>Gene Regulatory Networks</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hepacivirus - genetics</subject><subject>Hepacivirus - metabolism</subject><subject>Hepacivirus - pathogenicity</subject><subject>Hepatitis</subject><subject>Hepatitis C</subject><subject>Hepatitis C - genetics</subject><subject>Hepatitis C - pathology</subject><subject>Hepatitis C - virology</subject><subject>Hepatitis C virus</subject><subject>Hepatocellular carcinoma</subject><subject>Hepatocytes</subject><subject>Hepatocytes - metabolism</subject><subject>Hepatocytes - virology</subject><subject>Host-Pathogen Interactions - genetics</subject><subject>Humans</subject><subject>Infection</subject><subject>Lesions</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Liver cirrhosis</subject><subject>Liver Cirrhosis - genetics</subject><subject>Liver Cirrhosis - pathology</subject><subject>Liver Cirrhosis - virology</subject><subject>Liver Neoplasms - genetics</subject><subject>Liver Neoplasms - virology</subject><subject>Medicine and Health Sciences</subject><subject>Molecular chains</subject><subject>Molecular interactions</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Protein interaction</subject><subject>Protein Interaction Maps - genetics</subject><subject>Protein-protein interactions</subject><subject>Proteins</subject><subject>Proximity</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Viral Proteins - biosynthesis</subject><subject>Virus diseases</subject><subject>Viruses</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tu1DAQhiMEoqXwBggiISG42MWOYye5QaqW00qVKnG6tSbOJHFJ4q3tLNs34XFxdrfVLuoFykWc8Tf_b09moug5JXPKMvruyox2gG6-MgPOCaVMCPIgOqUFS2YiIezhwfokeuLcFSGc5UI8jk4SngrKC3Ea_fmg63p02gyxqWM91Mb24KdP31ozNq0ZfVhi3Brnw75HC8qbHmOLa4TOxQ0OGONmZdFtZdZg9VbBBTwe0P829le8smaje-1vYm9iD7ZBP8U86sAF5xZXIclrFy_itbajexo9qoM8Ptu_z6Ifnz5-X3yZXVx-Xi7OL2ZKFImfZWnBKgBSlRWvKXBRsYSrmlSiFgzKEghgXjOKFfAMBCkVo2VF8zxHopDk7Cx6udNddcbJfVGdpCIpeJHRjAdiuSMqA1dyZXUP9kYa0HIbMLaRYL1WHUqBZU64Smqa8jQhCmjFCgEsLdIq50CC1vu921j2WCkcvIXuSPR4Z9CtbMxapgmn4ThB4M1ewJrrEZ2XvXYKuw4GNON0bpYmohB88nr1D3r_7fZUA-ECUwMEXzWJyvOUiizLWTHZzu-hwlNhr1XowFqH-FHC26OEwHjc-AZG5-Ty29f_Zy9_HrOvD9g2dKBvnenGbcMdg-kOVNY4Z7G-KzIlchqg22rIaYDkfoBC2ovDH3SXdDsx7C_-qRrC</recordid><startdate>20141202</startdate><enddate>20141202</enddate><creator>Mosca, Ettore</creator><creator>Alfieri, Roberta</creator><creator>Milanesi, Luciano</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20141202</creationdate><title>Diffusion of information throughout the host interactome reveals gene expression variations in network proximity to target proteins of hepatitis C virus</title><author>Mosca, Ettore ; Alfieri, Roberta ; Milanesi, Luciano</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-7493daa0dbd5f1a56d325cf0d6f63abba0ae8f31eda57a60bc31bd1888e0ce083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biology and life sciences</topic><topic>Carcinoma, Hepatocellular - genetics</topic><topic>Carcinoma, Hepatocellular - virology</topic><topic>Chronic infection</topic><topic>Cirrhosis</topic><topic>Computer and Information Sciences</topic><topic>Dysplasia</topic><topic>Enrichment</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Viral</topic><topic>Gene Regulatory Networks</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Hepacivirus - genetics</topic><topic>Hepacivirus - metabolism</topic><topic>Hepacivirus - pathogenicity</topic><topic>Hepatitis</topic><topic>Hepatitis C</topic><topic>Hepatitis C - genetics</topic><topic>Hepatitis C - pathology</topic><topic>Hepatitis C - virology</topic><topic>Hepatitis C virus</topic><topic>Hepatocellular carcinoma</topic><topic>Hepatocytes</topic><topic>Hepatocytes - metabolism</topic><topic>Hepatocytes - virology</topic><topic>Host-Pathogen Interactions - genetics</topic><topic>Humans</topic><topic>Infection</topic><topic>Lesions</topic><topic>Liver</topic><topic>Liver cancer</topic><topic>Liver cirrhosis</topic><topic>Liver Cirrhosis - genetics</topic><topic>Liver Cirrhosis - pathology</topic><topic>Liver Cirrhosis - virology</topic><topic>Liver Neoplasms - genetics</topic><topic>Liver Neoplasms - virology</topic><topic>Medicine and Health Sciences</topic><topic>Molecular chains</topic><topic>Molecular interactions</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Protein interaction</topic><topic>Protein Interaction Maps - genetics</topic><topic>Protein-protein interactions</topic><topic>Proteins</topic><topic>Proximity</topic><topic>Research and Analysis Methods</topic><topic>Risk factors</topic><topic>Viral Proteins - biosynthesis</topic><topic>Virus diseases</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mosca, Ettore</creatorcontrib><creatorcontrib>Alfieri, Roberta</creatorcontrib><creatorcontrib>Milanesi, Luciano</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mosca, Ettore</au><au>Alfieri, Roberta</au><au>Milanesi, Luciano</au><au>Ray, Ranjit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diffusion of information throughout the host interactome reveals gene expression variations in network proximity to target proteins of hepatitis C virus</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-12-02</date><risdate>2014</risdate><volume>9</volume><issue>12</issue><spage>e113660</spage><epage>e113660</epage><pages>e113660-e113660</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Hepatitis C virus infection is one of the most common and chronic in the world, and hepatitis associated with HCV infection is a major risk factor for the development of cirrhosis and hepatocellular carcinoma (HCC). The rapidly growing number of viral-host and host protein-protein interactions is enabling more and more reliable network-based analyses of viral infection supported by omics data. The study of molecular interaction networks helps to elucidate the mechanistic pathways linking HCV molecular activities and the host response that modulates the stepwise hepatocarcinogenic process from preneoplastic lesions (cirrhosis and dysplasia) to HCC. Simulating the impact of HCV-host molecular interactions throughout the host protein-protein interaction (PPI) network, we ranked the host proteins in relation to their network proximity to viral targets. We observed that the set of proteins in the neighborhood of HCV targets in the host interactome is enriched in key players of the host response to HCV infection. In opposition to HCV targets, subnetworks of proteins in network proximity to HCV targets are significantly enriched in proteins reported as differentially expressed in preneoplastic and neoplastic liver samples by two independent studies. Using multi-objective optimization, we extracted subnetworks that are simultaneously "guilt-by-association" with HCV proteins and enriched in proteins differentially expressed. These subnetworks contain established, recently proposed and novel candidate proteins for the regulation of the mechanisms of liver cells response to chronic HCV infection.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25461596</pmid><doi>10.1371/journal.pone.0113660</doi><oa>free_for_read</oa></addata></record> |
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subjects | Biology and life sciences Carcinoma, Hepatocellular - genetics Carcinoma, Hepatocellular - virology Chronic infection Cirrhosis Computer and Information Sciences Dysplasia Enrichment Gene expression Gene Expression Regulation, Viral Gene Regulatory Networks Health aspects Health risks Hepacivirus - genetics Hepacivirus - metabolism Hepacivirus - pathogenicity Hepatitis Hepatitis C Hepatitis C - genetics Hepatitis C - pathology Hepatitis C - virology Hepatitis C virus Hepatocellular carcinoma Hepatocytes Hepatocytes - metabolism Hepatocytes - virology Host-Pathogen Interactions - genetics Humans Infection Lesions Liver Liver cancer Liver cirrhosis Liver Cirrhosis - genetics Liver Cirrhosis - pathology Liver Cirrhosis - virology Liver Neoplasms - genetics Liver Neoplasms - virology Medicine and Health Sciences Molecular chains Molecular interactions Multiple objective analysis Optimization Protein interaction Protein Interaction Maps - genetics Protein-protein interactions Proteins Proximity Research and Analysis Methods Risk factors Viral Proteins - biosynthesis Virus diseases Viruses |
title | Diffusion of information throughout the host interactome reveals gene expression variations in network proximity to target proteins of hepatitis C virus |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T00%3A16%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diffusion%20of%20information%20throughout%20the%20host%20interactome%20reveals%20gene%20expression%20variations%20in%20network%20proximity%20to%20target%20proteins%20of%20hepatitis%20C%20virus&rft.jtitle=PloS%20one&rft.au=Mosca,%20Ettore&rft.date=2014-12-02&rft.volume=9&rft.issue=12&rft.spage=e113660&rft.epage=e113660&rft.pages=e113660-e113660&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0113660&rft_dat=%3Cgale_plos_%3EA416778391%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1629597175&rft_id=info:pmid/25461596&rft_galeid=A416778391&rft_doaj_id=oai_doaj_org_article_6eb805c2f145420ca1d396a3494d85a0&rfr_iscdi=true |