Conserved host response to highly pathogenic avian influenza virus infection in human cell culture, mouse and macaque model systems
Understanding host response to influenza virus infection will facilitate development of better diagnoses and therapeutic interventions. Several different experimental models have been used as a proxy for human infection, including cell cultures derived from human cells, mice, and non-human primates....
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creator | McDermott, Jason E Shankaran, Harish Eisfeld, Amie J Belisle, Sarah E Neuman, Gabriele Li, Chengjun McWeeney, Shannon Sabourin, Carol Kawaoka, Yoshihiro Katze, Michael G Waters, Katrina M |
description | Understanding host response to influenza virus infection will facilitate development of better diagnoses and therapeutic interventions. Several different experimental models have been used as a proxy for human infection, including cell cultures derived from human cells, mice, and non-human primates. Each of these systems has been studied extensively in isolation, but little effort has been directed toward systematically characterizing the conservation of host response on a global level beyond known immune signaling cascades.
In the present study, we employed a multivariate modeling approach to characterize and compare the transcriptional regulatory networks between these three model systems after infection with a highly pathogenic avian influenza virus of the H5N1 subtype. Using this approach we identified functions and pathways that display similar behavior and/or regulation including the well-studied impact on the interferon response and the inflammasome. Our results also suggest a primary response role for airway epithelial cells in initiating hypercytokinemia, which is thought to contribute to the pathogenesis of H5N1 viruses. We further demonstrate that we can use a transcriptional regulatory model from the human cell culture data to make highly accurate predictions about the behavior of important components of the innate immune system in tissues from whole organisms.
This is the first demonstration of a global regulatory network modeling conserved host response between in vitro and in vivo models. |
doi_str_mv | 10.1186/1752-0509-5-190 |
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In the present study, we employed a multivariate modeling approach to characterize and compare the transcriptional regulatory networks between these three model systems after infection with a highly pathogenic avian influenza virus of the H5N1 subtype. Using this approach we identified functions and pathways that display similar behavior and/or regulation including the well-studied impact on the interferon response and the inflammasome. Our results also suggest a primary response role for airway epithelial cells in initiating hypercytokinemia, which is thought to contribute to the pathogenesis of H5N1 viruses. We further demonstrate that we can use a transcriptional regulatory model from the human cell culture data to make highly accurate predictions about the behavior of important components of the innate immune system in tissues from whole organisms.
This is the first demonstration of a global regulatory network modeling conserved host response between in vitro and in vivo models.</description><identifier>ISSN: 1752-0509</identifier><identifier>EISSN: 1752-0509</identifier><identifier>DOI: 10.1186/1752-0509-5-190</identifier><identifier>PMID: 22074594</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Algorithms ; Analysis ; Animals ; Avian influenza ; Avian influenza viruses ; BASIC BIOLOGICAL SCIENCES ; Biological response modifiers ; Cell culture ; Cells (Biology) ; comparative transcriptomics ; Diagnosis ; Disease Resistance - genetics ; Experiments ; Gene expression ; Gene Regulatory Networks ; Health aspects ; Health care ; host response ; Humans ; Infection ; Influenza A Virus, H5N1 Subtype - pathogenicity ; influenza infection ; Influenza, Human - genetics ; Influenza, Human - immunology ; Macaca ; mathematical & computational biology ; MATHEMATICS AND COMPUTING ; Mice ; Models, Immunological ; Mortality ; Multivariate Analysis ; network inference ; Pathogenesis ; Physiological aspects ; Preventive medicine ; Science ; Systems Biology ; Virus diseases ; Viruses</subject><ispartof>BMC systems biology, 2011-11, Vol.5 (186), p.190-190, Article 190</ispartof><rights>COPYRIGHT 2011 BioMed Central Ltd.</rights><rights>2011 McDermott et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright ©2011 McDermott et al; licensee BioMed Central Ltd. 2011 McDermott et al; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b707t-44d06de39b199c80ab7f5f4950ab3da291506feb5419795e281b71468855ae623</citedby><cites>FETCH-LOGICAL-b707t-44d06de39b199c80ab7f5f4950ab3da291506feb5419795e281b71468855ae623</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/PMC3229612/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3229612/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,24780,27901,27902,53766,53768,75480,75481</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22074594$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/1626646$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>McDermott, Jason E</creatorcontrib><creatorcontrib>Shankaran, Harish</creatorcontrib><creatorcontrib>Eisfeld, Amie J</creatorcontrib><creatorcontrib>Belisle, Sarah E</creatorcontrib><creatorcontrib>Neuman, Gabriele</creatorcontrib><creatorcontrib>Li, Chengjun</creatorcontrib><creatorcontrib>McWeeney, Shannon</creatorcontrib><creatorcontrib>Sabourin, Carol</creatorcontrib><creatorcontrib>Kawaoka, Yoshihiro</creatorcontrib><creatorcontrib>Katze, Michael G</creatorcontrib><creatorcontrib>Waters, Katrina M</creatorcontrib><creatorcontrib>Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)</creatorcontrib><title>Conserved host response to highly pathogenic avian influenza virus infection in human cell culture, mouse and macaque model systems</title><title>BMC systems biology</title><addtitle>BMC Syst Biol</addtitle><description>Understanding host response to influenza virus infection will facilitate development of better diagnoses and therapeutic interventions. Several different experimental models have been used as a proxy for human infection, including cell cultures derived from human cells, mice, and non-human primates. Each of these systems has been studied extensively in isolation, but little effort has been directed toward systematically characterizing the conservation of host response on a global level beyond known immune signaling cascades.
In the present study, we employed a multivariate modeling approach to characterize and compare the transcriptional regulatory networks between these three model systems after infection with a highly pathogenic avian influenza virus of the H5N1 subtype. Using this approach we identified functions and pathways that display similar behavior and/or regulation including the well-studied impact on the interferon response and the inflammasome. Our results also suggest a primary response role for airway epithelial cells in initiating hypercytokinemia, which is thought to contribute to the pathogenesis of H5N1 viruses. We further demonstrate that we can use a transcriptional regulatory model from the human cell culture data to make highly accurate predictions about the behavior of important components of the innate immune system in tissues from whole organisms.
This is the first demonstration of a global regulatory network modeling conserved host response between in vitro and in vivo models.</description><subject>Algorithms</subject><subject>Analysis</subject><subject>Animals</subject><subject>Avian influenza</subject><subject>Avian influenza viruses</subject><subject>BASIC BIOLOGICAL SCIENCES</subject><subject>Biological response modifiers</subject><subject>Cell culture</subject><subject>Cells (Biology)</subject><subject>comparative transcriptomics</subject><subject>Diagnosis</subject><subject>Disease Resistance - genetics</subject><subject>Experiments</subject><subject>Gene expression</subject><subject>Gene Regulatory Networks</subject><subject>Health aspects</subject><subject>Health care</subject><subject>host response</subject><subject>Humans</subject><subject>Infection</subject><subject>Influenza A Virus, H5N1 Subtype - pathogenicity</subject><subject>influenza infection</subject><subject>Influenza, Human - genetics</subject><subject>Influenza, Human - immunology</subject><subject>Macaca</subject><subject>mathematical & computational biology</subject><subject>MATHEMATICS AND COMPUTING</subject><subject>Mice</subject><subject>Models, Immunological</subject><subject>Mortality</subject><subject>Multivariate Analysis</subject><subject>network inference</subject><subject>Pathogenesis</subject><subject>Physiological aspects</subject><subject>Preventive medicine</subject><subject>Science</subject><subject>Systems Biology</subject><subject>Virus diseases</subject><subject>Viruses</subject><issn>1752-0509</issn><issn>1752-0509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNk0tv1DAUhSMEoqWwZoesskBIpLU9fow3SGXEo1IlJB5ry3FuJq4Se4idEcOWP47DlNEMKg9lEefez-cm58RF8ZjgM0Lm4pxITkvMsSp5SRS-UxzvKnf31kfFgxivMeYzSuX94ohSLBlX7Lj4vgg-wrCGGrUhJjRAXE0VlAJq3bLtNmhlUhuW4J1FZu2MR8433Qj-m0FrN4xxegabXJg6qB37jFjoOmTHLo0DvEB9GLOi8TXqjTVfRsiVGjoUNzFBHx8W9xrTRXh0cz8pPr95_Wnxrrx6__ZycXFVVhLLVDJWY1HDTFVEKTvHppINb5jieTWrDVWEY9FAxRlRUnGgc1JJwsR8zrkBQWcnxcut7mqseqgt-DSYTq8G15tho4Nx-rDjXauXYa2za0qQSeB0K5Cdcjpal8C2NnifP18TQYVgIkOvtlDlwh-mHHZs6PWUlJ6S0lznHLPIs5tXHUL2KybduziZajxkM7XCc8kw_kme_kZeh3Hw2ccMSaKoohP0dAstTQc65xXyZDtJ6guW7aJScPZXikpGGRWUZ-rsFipfNfQumwGNy_UD2f_asD_h-cGGzCT4mpZmjFFffvxwKP4vdl_3fMvaIcQ4QLMLhWA9HadbYniy_8fs-F_nZ_YDy2QX6w</recordid><startdate>20111111</startdate><enddate>20111111</enddate><creator>McDermott, Jason E</creator><creator>Shankaran, Harish</creator><creator>Eisfeld, Amie J</creator><creator>Belisle, Sarah E</creator><creator>Neuman, Gabriele</creator><creator>Li, Chengjun</creator><creator>McWeeney, Shannon</creator><creator>Sabourin, Carol</creator><creator>Kawaoka, Yoshihiro</creator><creator>Katze, Michael G</creator><creator>Waters, Katrina M</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>ISR</scope><scope>3V.</scope><scope>7QL</scope><scope>7TM</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</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>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>5PM</scope></search><sort><creationdate>20111111</creationdate><title>Conserved host response to highly pathogenic avian influenza virus infection in human cell culture, mouse and macaque model systems</title><author>McDermott, Jason E ; Shankaran, Harish ; Eisfeld, Amie J ; Belisle, Sarah E ; Neuman, Gabriele ; Li, Chengjun ; McWeeney, Shannon ; Sabourin, Carol ; Kawaoka, Yoshihiro ; Katze, Michael G ; Waters, Katrina M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b707t-44d06de39b199c80ab7f5f4950ab3da291506feb5419795e281b71468855ae623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Algorithms</topic><topic>Analysis</topic><topic>Animals</topic><topic>Avian influenza</topic><topic>Avian influenza viruses</topic><topic>BASIC BIOLOGICAL SCIENCES</topic><topic>Biological response modifiers</topic><topic>Cell culture</topic><topic>Cells (Biology)</topic><topic>comparative transcriptomics</topic><topic>Diagnosis</topic><topic>Disease Resistance - genetics</topic><topic>Experiments</topic><topic>Gene expression</topic><topic>Gene Regulatory Networks</topic><topic>Health aspects</topic><topic>Health care</topic><topic>host response</topic><topic>Humans</topic><topic>Infection</topic><topic>Influenza A Virus, H5N1 Subtype - pathogenicity</topic><topic>influenza infection</topic><topic>Influenza, Human - genetics</topic><topic>Influenza, Human - immunology</topic><topic>Macaca</topic><topic>mathematical & computational biology</topic><topic>MATHEMATICS AND COMPUTING</topic><topic>Mice</topic><topic>Models, Immunological</topic><topic>Mortality</topic><topic>Multivariate Analysis</topic><topic>network inference</topic><topic>Pathogenesis</topic><topic>Physiological aspects</topic><topic>Preventive medicine</topic><topic>Science</topic><topic>Systems Biology</topic><topic>Virus diseases</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McDermott, Jason E</creatorcontrib><creatorcontrib>Shankaran, Harish</creatorcontrib><creatorcontrib>Eisfeld, Amie J</creatorcontrib><creatorcontrib>Belisle, Sarah E</creatorcontrib><creatorcontrib>Neuman, Gabriele</creatorcontrib><creatorcontrib>Li, Chengjun</creatorcontrib><creatorcontrib>McWeeney, Shannon</creatorcontrib><creatorcontrib>Sabourin, Carol</creatorcontrib><creatorcontrib>Kawaoka, Yoshihiro</creatorcontrib><creatorcontrib>Katze, Michael G</creatorcontrib><creatorcontrib>Waters, Katrina M</creatorcontrib><creatorcontrib>Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)</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: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</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>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC systems biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McDermott, Jason E</au><au>Shankaran, Harish</au><au>Eisfeld, Amie J</au><au>Belisle, Sarah E</au><au>Neuman, Gabriele</au><au>Li, Chengjun</au><au>McWeeney, Shannon</au><au>Sabourin, Carol</au><au>Kawaoka, Yoshihiro</au><au>Katze, Michael G</au><au>Waters, Katrina M</au><aucorp>Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Conserved host response to highly pathogenic avian influenza virus infection in human cell culture, mouse and macaque model systems</atitle><jtitle>BMC systems biology</jtitle><addtitle>BMC Syst Biol</addtitle><date>2011-11-11</date><risdate>2011</risdate><volume>5</volume><issue>186</issue><spage>190</spage><epage>190</epage><pages>190-190</pages><artnum>190</artnum><issn>1752-0509</issn><eissn>1752-0509</eissn><abstract>Understanding host response to influenza virus infection will facilitate development of better diagnoses and therapeutic interventions. Several different experimental models have been used as a proxy for human infection, including cell cultures derived from human cells, mice, and non-human primates. Each of these systems has been studied extensively in isolation, but little effort has been directed toward systematically characterizing the conservation of host response on a global level beyond known immune signaling cascades.
In the present study, we employed a multivariate modeling approach to characterize and compare the transcriptional regulatory networks between these three model systems after infection with a highly pathogenic avian influenza virus of the H5N1 subtype. Using this approach we identified functions and pathways that display similar behavior and/or regulation including the well-studied impact on the interferon response and the inflammasome. Our results also suggest a primary response role for airway epithelial cells in initiating hypercytokinemia, which is thought to contribute to the pathogenesis of H5N1 viruses. We further demonstrate that we can use a transcriptional regulatory model from the human cell culture data to make highly accurate predictions about the behavior of important components of the innate immune system in tissues from whole organisms.
This is the first demonstration of a global regulatory network modeling conserved host response between in vitro and in vivo models.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>22074594</pmid><doi>10.1186/1752-0509-5-190</doi><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Analysis Animals Avian influenza Avian influenza viruses BASIC BIOLOGICAL SCIENCES Biological response modifiers Cell culture Cells (Biology) comparative transcriptomics Diagnosis Disease Resistance - genetics Experiments Gene expression Gene Regulatory Networks Health aspects Health care host response Humans Infection Influenza A Virus, H5N1 Subtype - pathogenicity influenza infection Influenza, Human - genetics Influenza, Human - immunology Macaca mathematical & computational biology MATHEMATICS AND COMPUTING Mice Models, Immunological Mortality Multivariate Analysis network inference Pathogenesis Physiological aspects Preventive medicine Science Systems Biology Virus diseases Viruses |
title | Conserved host response to highly pathogenic avian influenza virus infection in human cell culture, mouse and macaque model systems |
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