CovidV1, PubMed, Curation, bibRecord, 000654

A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.

Identifieur interne : 000654 ( PubMed/Curation ); précédent : 000653; suivant : 000655

A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.

Auteurs : Hugh D. Mitchell [États-Unis] ; Amie J. Eisfeld ; Amy C. Sims ; Jason E. Mcdermott ; Melissa M. Matzke ; Bobbi-Jo M. Webb-Robertson ; Susan C. Tilton ; Nicolas Tchitchek ; Laurence Josset ; Chengjun Li ; Amy L. Ellis ; Jean H. Chang ; Robert A. Heegel ; Maria L. Luna ; Athena A. Schepmoes ; Anil K. Shukla ; Thomas O. Metz ; Gabriele Neumann ; Arndt G. Benecke ; Richard D. Smith ; Ralph S. Baric ; Yoshihiro Kawaoka ; Michael G. Katze ; Katrina M. Waters

Source :

PloS one [ 1932-6203 ] ; 2013.

RBID : pubmed:23935999

Descripteurs français

KwdFr :
- Animaux, Cellules épithéliales (immunologie), Cellules épithéliales (métabolisme), Cellules épithéliales (virologie), Gènes régulateurs, Humains, Interactions hôte-pathogène (génétique), Modèles statistiques, Muqueuse respiratoire (immunologie), Muqueuse respiratoire (métabolisme), Muqueuse respiratoire (virologie), Orthomyxoviridae (pathogénicité), Orthomyxoviridae (physiologie), Poumon (immunologie), Poumon (métabolisme), Poumon (virologie), Régulation de l'expression des gènes, Réplication virale, Transcriptome, Virulence, Virus du SRAS (pathogénicité), Virus du SRAS (physiologie).
MESH :
- génétique : Interactions hôte-pathogène.
- immunologie : Cellules épithéliales, Muqueuse respiratoire, Poumon.
- métabolisme : Cellules épithéliales, Muqueuse respiratoire, Poumon.
- pathogénicité : Orthomyxoviridae, Virus du SRAS.
- physiologie : Orthomyxoviridae, Virus du SRAS.
- virologie : Cellules épithéliales, Muqueuse respiratoire, Poumon.
- Animaux, Gènes régulateurs, Humains, Modèles statistiques, Régulation de l'expression des gènes, Réplication virale, Transcriptome, Virulence.

English descriptors

KwdEn :
- Animals, Epithelial Cells (immunology), Epithelial Cells (metabolism), Epithelial Cells (virology), Gene Expression Regulation, Genes, Regulator, Host-Pathogen Interactions (genetics), Humans, Lung (immunology), Lung (metabolism), Lung (virology), Models, Statistical, Orthomyxoviridae (pathogenicity), Orthomyxoviridae (physiology), Respiratory Mucosa (immunology), Respiratory Mucosa (metabolism), Respiratory Mucosa (virology), SARS Virus (pathogenicity), SARS Virus (physiology), Transcriptome, Virulence, Virus Replication.
MESH :
- genetics : Host-Pathogen Interactions.
- immunology : Epithelial Cells, Lung, Respiratory Mucosa.
- metabolism : Epithelial Cells, Lung, Respiratory Mucosa.
- pathogenicity : Orthomyxoviridae, SARS Virus.
- physiology : Orthomyxoviridae, SARS Virus.
- virology : Epithelial Cells, Lung, Respiratory Mucosa.
- Animals, Gene Expression Regulation, Genes, Regulator, Humans, Models, Statistical, Transcriptome, Virulence, Virus Replication.

Abstract

Respiratory infections stemming from influenza viruses and the Severe Acute Respiratory Syndrome corona virus (SARS-CoV) represent a serious public health threat as emerging pandemics. Despite efforts to identify the critical interactions of these viruses with host machinery, the key regulatory events that lead to disease pathology remain poorly targeted with therapeutics. Here we implement an integrated network interrogation approach, in which proteome and transcriptome datasets from infection of both viruses in human lung epithelial cells are utilized to predict regulatory genes involved in the host response. We take advantage of a novel "crowd-based" approach to identify and combine ranking metrics that isolate genes/proteins likely related to the pathogenicity of SARS-CoV and influenza virus. Subsequently, a multivariate regression model is used to compare predicted lung epithelial regulatory influences with data derived from other respiratory virus infection models. We predicted a small set of regulatory factors with conserved behavior for consideration as important components of viral pathogenesis that might also serve as therapeutic targets for intervention. Our results demonstrate the utility of integrating diverse 'omic datasets to predict and prioritize regulatory features conserved across multiple pathogen infection models.

DOI: 10.1371/journal.pone.0069374
PubMed: 23935999

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<front><div type="abstract" xml:lang="en">Respiratory infections stemming from influenza viruses and the Severe Acute Respiratory Syndrome corona virus (SARS-CoV) represent a serious public health threat as emerging pandemics. Despite efforts to identify the critical interactions of these viruses with host machinery, the key regulatory events that lead to disease pathology remain poorly targeted with therapeutics. Here we implement an integrated network interrogation approach, in which proteome and transcriptome datasets from infection of both viruses in human lung epithelial cells are utilized to predict regulatory genes involved in the host response. We take advantage of a novel "crowd-based" approach to identify and combine ranking metrics that isolate genes/proteins likely related to the pathogenicity of SARS-CoV and influenza virus. Subsequently, a multivariate regression model is used to compare predicted lung epithelial regulatory influences with data derived from other respiratory virus infection models. We predicted a small set of regulatory factors with conserved behavior for consideration as important components of viral pathogenesis that might also serve as therapeutic targets for intervention. Our results demonstrate the utility of integrating diverse 'omic datasets to predict and prioritize regulatory features conserved across multiple pathogen infection models. </div>
</front>
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<ArticleTitle>A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.</ArticleTitle>
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<Abstract><AbstractText>Respiratory infections stemming from influenza viruses and the Severe Acute Respiratory Syndrome corona virus (SARS-CoV) represent a serious public health threat as emerging pandemics. Despite efforts to identify the critical interactions of these viruses with host machinery, the key regulatory events that lead to disease pathology remain poorly targeted with therapeutics. Here we implement an integrated network interrogation approach, in which proteome and transcriptome datasets from infection of both viruses in human lung epithelial cells are utilized to predict regulatory genes involved in the host response. We take advantage of a novel "crowd-based" approach to identify and combine ranking metrics that isolate genes/proteins likely related to the pathogenicity of SARS-CoV and influenza virus. Subsequently, a multivariate regression model is used to compare predicted lung epithelial regulatory influences with data derived from other respiratory virus infection models. We predicted a small set of regulatory factors with conserved behavior for consideration as important components of viral pathogenesis that might also serve as therapeutic targets for intervention. Our results demonstrate the utility of integrating diverse 'omic datasets to predict and prioritize regulatory features conserved across multiple pathogen infection models. </AbstractText>
</Abstract>
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<ArticleIdList><ArticleId IdType="pubmed">23935999</ArticleId>
<ArticleId IdType="doi">10.1371/journal.pone.0069374</ArticleId>
<ArticleId IdType="pii">PONE-D-13-04628</ArticleId>
<ArticleId IdType="pmc">PMC3723910</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>PLoS One. 2010;5(1):e8729</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20090954</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Syst Biol. 2011;5:100</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21711513</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Brief Funct Genomic Proteomic. 2006 Dec;5(4):261-72</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16772273</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15545-50</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16199517</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Mol Cell Proteomics. 2012 Jun;11(6):M111.014910</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22240506</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Bioinformatics. 2011 Oct 15;27(20):2866-72</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21852304</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 2010 Feb 11;463(7282):818-22</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20081832</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>FEBS Lett. 2006 Dec 22;580(30):6807-12</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17141229</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS Comput Biol. 2007 Apr 20;3(4):e59</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17447836</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Front Microbiol. 2012 Feb 14;3:46</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22347880</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2011;6(2):e14673</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21339814</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2011;6(1):e16022</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21297957</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Virology. 2009 May 10;387(2):473-81</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19327807</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Biochem Biophys Res Commun. 2006 Aug 18;347(1):261-5</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16808902</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2003 Oct 28;100(22):12995-3000</Citation>
<ArticleIdList><ArticleId IdType="pubmed">14569023</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Bioinformatics. 2009;10:87</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19292916</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lab Invest. 2012 Sep;92(9):1285-96</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22732935</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Proteome Res. 2008 Aug;7(8):3114-26</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18570455</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2011 Jul 19;108(29):12048-53</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21730129</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Comput Biol. 2009 Feb;16(2):169-80</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19178137</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proteomics. 2006 Mar;6(6):1783-90</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16470653</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2011 May;85(9):4234-45</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21325418</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2012;7(3):e34515</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22479638</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Mass Spectrom Rev. 2006 May-Jun;25(3):450-82</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16429408</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Vet Med Sci. 2000 Jan;62(1):37-41</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10676887</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Cell. 2009 Dec 24;139(7):1255-67</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20064372</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS Biol. 2007 Jan;5(1):e8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17214507</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2005 Dec;79(24):15511-24</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16306622</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Virology. 2006 Aug 15;352(1):86-99</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16730773</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS Pathog. 2012;8(3):e1002570</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22396652</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Cell. 2009 Dec 24;139(7):1243-54</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20064371</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Mol Syst Biol. 2012;8:565</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22252388</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2008 Dec 16;105(50):19944-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19036930</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>OMICS. 2012 Jan-Feb;16(1-2):37-49</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22321014</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Pac Symp Biocomput. 2011;:314-25</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21121059</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Methods Mol Med. 2005;107:183-206</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15492373</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Proteome Res. 2010 Nov 5;9(11):5748-56</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20831241</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2007 Oct;81(20):10981-90</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17670839</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2011 Nov;85(21):10955-67</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21865398</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Trends Immunol. 2011 Jan;32(1):34-41</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21147034</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 2008 Aug 14;454(7206):890-3</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18615016</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Microbes Infect. 2010 Jan;12(1):81-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19782761</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Mol Med (Berl). 2009 Nov;87(11):1053-60</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19705082</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Syst Biol. 2011;5:190</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22074594</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 2002 Jan 1;30(1):207-10</Citation>
<ArticleIdList><ArticleId IdType="pubmed">11752295</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 2012 Mar;40(6):2377-98</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22121215</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2005 Dec;79(23):14909-22</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16282490</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Syst Biol. 2012;6:28</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22546282</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Microbiol Mol Biol Rev. 2012 Mar;76(1):16-32</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22390970</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Clin Chim Acta. 2011 May 12;412(11-12):1151-4</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21300045</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2013 Apr;87(7):3885-902</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23365422</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Infect Genet Evol. 2009 Dec;9(6):1148-57</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19647099</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Proteome Res. 2006 Dec;5(12):3345-54</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17137336</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Genomics. 2009;10:405</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19712483</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2008 Dec;82(23):11948-57</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18818320</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Viral Immunol. 2008 Jun;21(2):153-62</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18433331</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2010 Nov;84(21):11297-309</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20702617</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2010 Nov;84(21):11255-63</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20719951</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Virol. 2010 Feb;84(3):1289-301</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19906920</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proteomics. 2011 Dec;11(24):4736-41</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22038874</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Bioinformatics. 2008 Jul 1;24(13):1556-8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18453552</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 2010 Feb 11;463(7282):813-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20027183</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Biol. 2006;7(5):R36</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16686963</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Methods. 2012 Aug;9(8):796-804</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22796662</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Bioinformatics. 2007 Aug 1;23(15):2021-3</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17545182</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS Pathog. 2010 Jan;6(1):e1000719</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20062526</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Anal Chem. 2008 Jan 1;80(1):294-302</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18044960</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
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A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.

A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.

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