Artigo Acesso aberto Revisado por pares

A Physical Interaction Network of Dengue Virus and Human Proteins

2011; Elsevier BV; Volume: 10; Issue: 12 Linguagem: Inglês

10.1074/mcp.m111.012187

ISSN

1535-9484

Autores

Sudip Khadka, A.D. Vangeloff, Chaoying Zhang, Prasad Siddavatam, Nicholas S. Heaton, Ling Wang, Ranjan Sengupta, Sudhir Sahasrabudhe, Glenn Randall, Michael Gribskov, Richard Kühn, Rushika Perera, Douglas LaCount,

Tópico(s)

Viral Infections and Vectors

Resumo

Dengue virus (DENV), an emerging mosquito-transmitted pathogen capable of causing severe disease in humans, interacts with host cell factors to create a more favorable environment for replication. However, few interactions between DENV and human proteins have been reported to date. To identify DENV-human protein interactions, we used high-throughput yeast two-hybrid assays to screen the 10 DENV proteins against a human liver activation domain library. From 45 DNA-binding domain clones containing either full-length viral genes or partially overlapping gene fragments, we identified 139 interactions between DENV and human proteins, the vast majority of which are novel. These interactions involved 105 human proteins, including six previously implicated in DENV infection and 45 linked to the replication of other viruses. Human proteins with functions related to the complement and coagulation cascade, the centrosome, and the cytoskeleton were enriched among the DENV interaction partners. To determine if the cellular proteins were required for DENV infection, we used small interfering RNAs to inhibit their expression. Six of 12 proteins targeted (CALR, DDX3X, ERC1, GOLGA2, TRIP11, and UBE2I) caused a significant decrease in the replication of a DENV replicon. We further showed that calreticulin colocalized with viral dsRNA and with the viral NS3 and NS5 proteins in DENV-infected cells, consistent with a direct role for calreticulin in DENV replication. Human proteins that interacted with DENV had significantly higher average degree and betweenness than expected by chance, which provides additional support for the hypothesis that viruses preferentially target cellular proteins that occupy central position in the human protein interaction network. This study provides a valuable starting point for additional investigations into the roles of human proteins in DENV infection. Dengue virus (DENV), an emerging mosquito-transmitted pathogen capable of causing severe disease in humans, interacts with host cell factors to create a more favorable environment for replication. However, few interactions between DENV and human proteins have been reported to date. To identify DENV-human protein interactions, we used high-throughput yeast two-hybrid assays to screen the 10 DENV proteins against a human liver activation domain library. From 45 DNA-binding domain clones containing either full-length viral genes or partially overlapping gene fragments, we identified 139 interactions between DENV and human proteins, the vast majority of which are novel. These interactions involved 105 human proteins, including six previously implicated in DENV infection and 45 linked to the replication of other viruses. Human proteins with functions related to the complement and coagulation cascade, the centrosome, and the cytoskeleton were enriched among the DENV interaction partners. To determine if the cellular proteins were required for DENV infection, we used small interfering RNAs to inhibit their expression. Six of 12 proteins targeted (CALR, DDX3X, ERC1, GOLGA2, TRIP11, and UBE2I) caused a significant decrease in the replication of a DENV replicon. We further showed that calreticulin colocalized with viral dsRNA and with the viral NS3 and NS5 proteins in DENV-infected cells, consistent with a direct role for calreticulin in DENV replication. Human proteins that interacted with DENV had significantly higher average degree and betweenness than expected by chance, which provides additional support for the hypothesis that viruses preferentially target cellular proteins that occupy central position in the human protein interaction network. This study provides a valuable starting point for additional investigations into the roles of human proteins in DENV infection. Viruses have limited genetic capacity and must rely on cellular factors to complete their life cycle. Thus, viruses interact with cellular proteins to acquire activities not encoded in the viral genome, to thwart host immune defenses, and to manipulate cellular pathways in order to create a more favorable environment for replication (for example, (1Llano M. Saenz D.T. Meehan A. Wongthida P. Peretz M. Walker W.H. Teo W. Poeschla E.M. An essential role for LEDGF/p75 in HIV integration.Science. 2006; 314: 461-464Crossref PubMed Scopus (386) Google Scholar, 2Maertens G. Cherepanov P. Pluymers W. Busschots K. De Clercq E. Debyser Z. Engelborghs Y. LEDGF/p75 is essential for nuclear and chromosomal targeting of HIV-1 integrase in human cells.J. Biol. Chem. 2003; 278: 33528-33539Abstract Full Text Full Text PDF PubMed Scopus (394) Google Scholar, 3Galluzzi L. Kepp O. Morselli E. Vitale I. Senovilla L. Pinti M. Zitvogel L. Kroemer G. Viral strategies for the evasion of immunogenic cell death.J. Intern Med. 2010; 267: 526-542Crossref PubMed Scopus (46) Google Scholar, 4Chaurushiya M.S. Weitzman M.D. Viral manipulation of DNA repair and cell cycle checkpoints.DNA Repair. 2009; 8: 1166-1176Crossref PubMed Scopus (91) Google Scholar)). Conversely, host cells counter viral infection by expressing proteins that bind to and degrade or inhibit viral proteins (for example, (5Skaug B. Chen Z.J. Emerging role of ISG15 in antiviral immunity.Cell. 2010; 143: 187-190Abstract Full Text Full Text PDF PubMed Scopus (149) Google Scholar)). However, for most viruses, little is known about the interactions between viral and cellular proteins that engender these effects. A continued effort to define the interactions between virus and host cell will provide a better understanding of how viruses reproduce and cause disease, enable comparisons of the strategies different viruses use to manipulate host cells, and may reveal novel targets for therapeutic intervention. Recent technical advances have greatly increased the pace at which cellular cofactors of virus infection have been identified. The discovery of RNA interference (RNAi) and the development of genome-wide RNAi screening approaches enabled cellular genes to be systematically assayed for their effect on virus replication (6Brass A.L. Dykxhoorn D.M. Benita Y. Yan N. Engelman A. Xavier R.J. Lieberman J. Elledge S.J. Identification of host proteins required for HIV infection through a functional genomic screen.Science. 2008; 319: 921-926Crossref PubMed Scopus (1104) Google Scholar, 7Brass A.L. Huang I.C. Benita Y. John S.P. Krishnan M.N. Feeley E.M. Ryan B.J. Weyer J.L. van der Weyden L. Fikrig E. Adams D.J. Xavier R.J. Farzan M. Elledge S.J. The IFITM proteins mediate cellular resistance to influenza A H1N1 virus, West Nile virus, and dengue virus.Cell. 2009; 139: 1243-1254Abstract Full Text Full Text PDF PubMed Scopus (795) Google Scholar, 8Bushman F.D. Malani N. Fernandes J. D'Orso I. Cagney G. Diamond T.L. Zhou H. Hazuda D.J. Espeseth A.S. König R. Bandyopadhyay S. Ideker T. Goff S.P. Krogan N.J. Frankel A.D. Young J.A. Chanda S.K. Host cell factors in HIV replication: meta-analysis of genome-wide studies.PLoS Pathog. 2009; 5: e1000437Crossref PubMed Scopus (346) Google Scholar, 9Hao L. Sakurai A. Watanabe T. Sorensen E. Nidom C.A. Newton M.A. Ahlquist P. Kawaoka Y. Drosophila RNAi screen identifies host genes important for influenza virus replication.Nature. 2008; 454: 890-893Crossref PubMed Scopus (322) Google Scholar, 10Karlas A. Machuy N. Shin Y. Pleissner K.P. Artarini A. Heuer D. Becker D. Khalil H. Ogilvie L.A. Hess S. Mäurer A.P. Muller E. Wolff T. Rudel T. Meyer T.F. Genome-wide RNAi screen identifies human host factors crucial for influenza virus replication.Nature. 2010; 463: 818-822Crossref PubMed Scopus (490) Google Scholar, 11König R. Stertz S. Zhou Y. Inoue A. Hoffmann H.H. Bhattacharyya S. Alamares J.G. Tscherne D.M. Ortigoza M.B. Liang Y. Gao Q. Andrews S.E. Bandyopadhyay S. De Jesus P. Tu B.P. Pache L. Shih C. Orth A. Bonamy G. Miraglia L. Ideker T. Garcia-Sastre A. Young J.A. Palese P. Shaw M.L. Chanda S.K. Human host factors required for influenza virus replication.Nature. 2010; 463: 813-817Crossref PubMed Scopus (593) Google Scholar, 12Känig R. Zhou Y. Elleder D. Diamond T.L. Bonamy G.M. Irelan J.T. Chiang C.Y. Tu B.P. De Jesus P.D. Lilley C.E. Seidel S. Opaluch A.M. Caldwell J.S. Weitzman M.D. Kuhen K.L. Bandyopadhyay S. Ideker T. Orth A.P. Miraglia L.J. Bushman F.D. Young J.A. Chanda S.K. Global analysis of host-pathogen interactions that regulate early-stage HIV-1 replication.Cell. 2008; 135: 49-60Abstract Full Text Full Text PDF PubMed Scopus (727) Google Scholar, 13Krishnan M.N. Ng A. Sukumaran B. Gilfoy F.D. Uchil P.D. Sultana H. Brass A.L. Adametz R. Tsui M. Qian F. Montgomery R.R. Lev S. Mason P.W. Koski R.A. Elledge S.J. Xavier R.J. Agaisse H. Fikrig E. RNA interference screen for human genes associated with West Nile virus infection.Nature. 2008; 455: 242-245Crossref PubMed Scopus (409) Google Scholar, 14Li Q. Brass A.L. Ng A. Hu Z. Xavier R.J. Liang T.J. Elledge S.J. A genome-wide genetic screen for host factors required for hepatitis C virus propagation.Proc. Natl. Acad. Sci. U.S.A. 2009; 106: 16410-16415Crossref PubMed Scopus (294) Google Scholar, 15Ng T.I. Mo H. Pilot-Matias T. He Y. Koev G. Krishnan P. Mondal R. Pithawalla R. He W. Dekhtyar T. Packer J. Schurdak M. Molla A. Identification of host genes involved in hepatitis C virus replication by small interfering RNA technology.Hepatology. 2007; 45: 1413-1421Crossref PubMed Scopus (114) Google Scholar, 16Sessions O.M. Barrows N.J. Souza-Neto J.A. Robinson T.J. Hershey C.L. Rodgers M.A. Ramirez J.L. Dimopoulos G. Yang P.L. Pearson J.L. Garcia-Blanco M.A. Discovery of insect and human dengue virus host factors.Nature. 2009; 458: 1047-1050Crossref PubMed Scopus (288) Google Scholar, 17Shapira S.D. Gat-Viks I. Shum B.O. Dricot A. de Grace M.M. Wu L. Gupta P.B. Hao T. Silver S.J. Root D.E. Hill D.E. Regev A. Hacohen N. A physical and regulatory map of host-influenza interactions reveals pathways in H1N1 infection.Cell. 2009; 139: 1255-1267Abstract Full Text Full Text PDF PubMed Scopus (468) Google Scholar, 18Tai A.W. Benita Y. Peng L.F. Kim S.S. Sakamoto N. Xavier R.J. Chung R.T. A functional genomic screen identifies cellular cofactors of hepatitis C virus replication.Cell Host Microbe. 2009; 5: 298-307Abstract Full Text Full Text PDF PubMed Scopus (353) Google Scholar, 19Vaillancourt F.H. Pilote L. Cartier M. Lippens J. Liuzzi M. Bethell R.C. Cordingley M.G. Kukolj G. Identification of a lipid kinase as a host factor involved in hepatitis C virus RNA replication.Virology. 2009; 387: 5-10Crossref PubMed Scopus (134) Google Scholar, 20Zhou H. Xu M. Huang Q. Gates A.T. Zhang X.D. Castle J.C. Stec E. Ferrer M. Strulovici B. Hazuda D.J. Espeseth A.S. Genome-scale RNAi screen for host factors required for HIV replication.Cell Host Microbe. 2008; 4: 495-504Abstract Full Text Full Text PDF PubMed Scopus (578) Google Scholar). High-throughput yeast two-hybrid assays and co-affinity purification plus mass spectrometry allowed protein-protein interactions to be identified on a large-scale. These high throughput technologies enabled the identification of virus-host cell interactions and the development of human protein interaction networks that provide a larger context to understand virus-host cell interactions (21Calderwood M.A. Venkatesan K. Xing L. Chase M.R. Vazquez A. Holthaus A.M. Ewence A.E. Li N. Hirozane-Kishikawa T. Hill D.E. Vidal M. Kieff E. Johannsen E. Epstein-Barr virus and virus human protein interaction maps.Proc. Natl. Acad. Sci. U.S.A. 2007; 104: 7606-7611Crossref PubMed Scopus (280) Google Scholar, 22de Chassey B. Navratil V. Tafforeau L. Hiet M.S. Aublin-Gex A. Agaugué S. Meiffren G. Pradezynski F. Faria B.F. Chantier T. Le Breton M. Pellet J. Davoust N. Mangeot P.E. Chaboud A. Penin F. Jacob Y. Vidalain P.O. Vidal M. André P. Rabourdin-Combe C. Lotteau V. Hepatitis C virus infection protein network.Mol. Syst. Biol. 2008; 4: 230Crossref PubMed Scopus (288) Google Scholar, 23Ewing R.M. Chu P. Elisma F. Li H. Taylor P. Climie S. McBroom-Cerajewski L. Robinson M.D. O'Connor L. Li M. Taylor R. Dharsee M. Ho Y. Heilbut A. Moore L. Zhang S. Ornatsky O. Bukhman Y.V. Ethier M. Sheng Y. Vasilescu J. Abu-Farha M. Lambert J.P. Duewel H.S. Stewart I.I. Kuehl B. Hogue K. Colwill K. Gladwish K. Muskat B. Kinach R. Adams S.L. Moran M.F. Morin G.B. Topaloglou T. Figeys D. Large-scale mapping of human protein-protein interactions by mass spectrometry.Mol. Syst. Biol. 2007; 3: 89Crossref PubMed Scopus (677) Google Scholar, 24Rual J.F. Venkatesan K. Hao T. Hirozane-Kishikawa T. Dricot A. Li N. Berriz G.F. Gibbons F.D. Dreze M. Ayivi-Guedehoussou N. Klitgord N. Simon C. Boxem M. Milstein S. Rosenberg J. Goldberg D.S. Zhang L.V. Wong S.L. Franklin G. Li S. Albala J.S. Lim J. Fraughton C. Llamosas E. Cevik S. Bex C. Lamesch P. Sikorski R.S. Vandenhaute J. Zoghbi H.Y. Smolyar A. Bosak S. Sequerra R. Doucette-Stamm L. Cusick M.E. Hill D.E. Roth F.P. Vidal M. Towards a proteome-scale map of the human protein-protein interaction network.Nature. 2005; 437: 1173-1178Crossref PubMed Scopus (2057) Google Scholar, 25Stelzl U. Worm U. Lalowski M. Haenig C. Brembeck F.H. Goehler H. Stroedicke M. Zenkner M. Schoenherr A. Koeppen S. Timm J. Mintzlaff S. Abraham C. Bock N. Kietzmann S. Goedde A. Toksöz E. Droege A. Krobitsch S. Korn B. Birchmeier W. Lehrach H. Wanker E.E. A human protein-protein interaction network: a resource for annotating the proteome.Cell. 2005; 122: 957-968Abstract Full Text Full Text PDF PubMed Scopus (1723) Google Scholar, 26Uetz P. Dong Y.A. Zeretzke C. Atzler C. Baiker A. Berger B. Rajagopala S.V. Roupelieva M. Rose D. Fossum E. Haas J. Herpesviral protein networks and their interaction with the human proteome.Science. 2006; 311: 239-242Crossref PubMed Scopus (320) Google Scholar, 27Behrends C. Sowa M.E. Gygi S.P. Harper J.W. Network organization of the human autophagy system.Nature. 2010; 466: 68-76Crossref PubMed Scopus (1027) Google Scholar, 28Sowa M.E. Bennett E.J. Gygi S.P. Harper J.W. Defining the human deubiquitinating enzyme interaction landscape.Cell. 2009; 138: 389-403Abstract Full Text Full Text PDF PubMed Scopus (1045) Google Scholar). The two approaches to identify cellular cofactors of virus infection are complementary: RNAi screens provide a list of host factors that can affect virus replication either directly or indirectly, and virus-host protein interaction networks elucidate the direct interface between the virus and the host cell. In theory, when the two data sets are complete, the requirement of proteins identified in RNAi screens should be discernable through their associations with proteins that interact directly with viral proteins or nucleic acids. In this study we constructed a network of interactions between dengue virus (DENV) 1The abbreviations used are:3-AT3-amino-1,2,4-triazolecDNAcomplementary DNADAPI4,6-diamidino-2-phenylindole dihydrochlorideDENVdengue virusdsRNAdouble-stranded RNAEBVEpstein Barr virusESCRTendosomal sorting complex required for transportHCVhepatitis C virusHIVhuman immunodeficiency virusHPINhuman protein interaction networkINFVinfluenza virusNSdengue virus nonstructural proteinORFopen reading frameRNAiRNA interferenceSD–TLUASD medium lacking tryptophan, leucine, uracil, and adenineSD–TLUHSD medium lacking lacking tryptophan, leucine, uracil, and histidineSDsynthetic dropout mediumsiRNAsmall interfering RNA. 1The abbreviations used are:3-AT3-amino-1,2,4-triazolecDNAcomplementary DNADAPI4,6-diamidino-2-phenylindole dihydrochlorideDENVdengue virusdsRNAdouble-stranded RNAEBVEpstein Barr virusESCRTendosomal sorting complex required for transportHCVhepatitis C virusHIVhuman immunodeficiency virusHPINhuman protein interaction networkINFVinfluenza virusNSdengue virus nonstructural proteinORFopen reading frameRNAiRNA interferenceSD–TLUASD medium lacking tryptophan, leucine, uracil, and adenineSD–TLUHSD medium lacking lacking tryptophan, leucine, uracil, and histidineSDsynthetic dropout mediumsiRNAsmall interfering RNA. and human proteins. DENV is an enveloped, positive-stranded RNA virus that belongs to a family of important human pathogens (the Flaviviridae) that includes hepatitis C virus (HCV), yellow fever virus, Japanese encephalitis virus, and West Nile virus. DENV is transmitted by Aedes aegypti, a mosquito that thrives in urban settings, which likely contributes to the rapid increase in both the number of human infections and the geographical distribution of DENV over the past two decades (29Mackenzie J.S. Gubler D.J. Petersen L.R. Emerging flaviviruses: the spread and resurgence of Japanese encephalitis, West Nile and dengue viruses.Nat. Med. 2004; 10: S98-109Crossref PubMed Scopus (928) Google Scholar). Currently more than 50 million DENV infections occur each year and more than 2 billion people live in areas where dengue is transmitted (30Guha-Sapir D. Schimmer B. Dengue fever: new paradigms for a changing epidemiology.Emerg Themes Epidemiol. 2005; 2: 1Crossref PubMed Scopus (277) Google Scholar). Dengue causes diverse symptoms that range from a mild flu-like illness (dengue fever) to severe disease characterized by hemorrhage and shock (dengue hemorrhagic fever and dengue shock syndrome) (31Martina B.E. Koraka P. Osterhaus A.D. Dengue virus pathogenesis: an integrated view.Clin. Microbiol Rev. 2009; 22: 564-581Crossref PubMed Scopus (486) Google Scholar). There are currently no vaccines to prevent dengue infection and no specific antiviral drugs to treat infected patients. 3-amino-1,2,4-triazole complementary DNA 4,6-diamidino-2-phenylindole dihydrochloride dengue virus double-stranded RNA Epstein Barr virus endosomal sorting complex required for transport hepatitis C virus human immunodeficiency virus human protein interaction network influenza virus dengue virus nonstructural protein open reading frame RNA interference SD medium lacking tryptophan, leucine, uracil, and adenine SD medium lacking lacking tryptophan, leucine, uracil, and histidine synthetic dropout medium small interfering RNA. 3-amino-1,2,4-triazole complementary DNA 4,6-diamidino-2-phenylindole dihydrochloride dengue virus double-stranded RNA Epstein Barr virus endosomal sorting complex required for transport hepatitis C virus human immunodeficiency virus human protein interaction network influenza virus dengue virus nonstructural protein open reading frame RNA interference SD medium lacking tryptophan, leucine, uracil, and adenine SD medium lacking lacking tryptophan, leucine, uracil, and histidine synthetic dropout medium small interfering RNA. DENV infection begins with the binding of the virion to the host cell via direct interactions between the DENV E protein and cell surface ligands including DC-SIGN, heparin sulfate, and the macrophage receptor or indirect interactions between DENV-antibody complexes and the Fc or complement receptors (32Chen Y. Maguire T. Hileman R.E. Fromm J.R. Esko J.D. Linhardt R.J. Marks R.M. Dengue virus infectivity depends on envelope protein binding to target cell heparan sulfate.Nat. Med. 1997; 3: 866-871Crossref PubMed Scopus (756) Google Scholar, 33Miller J.L. de Wet B.J.M. Martinez-Pomares L. Radcliffe C.M. Dwek R.A. Rudd P.M. Gordon S. The mannose receptor mediates dengue virus infection of macrophages.PLoS Pathog. 2008; 4: e17Crossref PubMed Scopus (277) Google Scholar, 34Navarro-Sanchez E. Altmeyer R. Amara A. Schwartz O. Fieschi F. Virelizier J.L. Arenzana-Seisdedos F. Despres P. Dendritic-cell-specific ICAM3-grabbing non-integrin is essential for the productive infection of human dendritic cells by mosquito-cell-derived dengue viruses.EMBO Rep. 2003; 4: 723-728Crossref PubMed Scopus (364) Google Scholar, 35Porterfield J.S. Antibody-dependent enhancement of viral infectivity.Adv. Virus Res. 1986; 31: 335-355Crossref PubMed Scopus (0) Google Scholar, 36Tassaneetrithep B. Burgess T.H. Granelli-Piperno A. Trumpfheller C. Finke J. Sun W. Eller M.A. Pattanapanyasat K. Sarasombath S. Birx D.L. Steinman R.M. Schlesinger S. Marovich M.A. DC-SIGN (CD209) mediates dengue virus infection of human dendritic cells.J. Exp. Med. 2003; 197: 823-829Crossref PubMed Scopus (636) Google Scholar). Following entry by receptor-mediated endocytosis and uncoating, the 10.2 kb DENV RNA genome is translated as a single polyprotein that is subsequently processed by viral and cellular proteases to yield 10 smaller proteins. The first three comprise the structural proteins that form the DENV virion, whereas the other seven play nonstructural roles. After the initial period of translation, the RNA genome switches from translation to replication in response to an unknown trigger. Negative- and positive-strand RNA synthesis occurs within virus-induced replication complexes derived from ER membranes (37Welsch S. Miller S. Romero-Brey I. Merz A. Bleck C.K. Walther P. Fuller S.D. Antony C. Krijnse-Locker J. Bartenschlager R. Composition and three-dimensional architecture of the dengue virus replication and assembly sites.Cell Host Microbe. 2009; 5: 365-375Abstract Full Text Full Text PDF PubMed Scopus (646) Google Scholar). The newly formed positive-strand RNA products then serve as templates for translation and RNA replication, and are incorporated into immature virions. Virions acquire their lipid envelope by budding through the ER membrane and complete their maturation as they pass through the Golgi network, ultimately resulting in the release of infectious progeny (38Yu I.M. Zhang W. Holdaway H.A. Li L. Kostyuchenko V.A. Chipman P.R. Kuhn R.J. Rossmann M.G. Chen J. Structure of the immature dengue virus at low pH primes proteolytic maturation.Science. 2008; 319: 1834-1837Crossref PubMed Scopus (401) Google Scholar, 39Li L. Lok S.M. Yu I.M. Zhang Y. Kuhn R.J. Chen J. Rossmann M.G. The flavivirus precursor membrane-envelope protein complex: structure and maturation.Science. 2008; 319: 1830-1834Crossref PubMed Scopus (329) Google Scholar). Because of the small size of the DENV genome, numerous host cell factors are presumed to participate at multiple points in the DENV life cycle. Although recent large-scale and pathway-focused RNAi screens have implicated ∼200 human genes in DENV infection (13Krishnan M.N. Ng A. Sukumaran B. Gilfoy F.D. Uchil P.D. Sultana H. Brass A.L. Adametz R. Tsui M. Qian F. Montgomery R.R. Lev S. Mason P.W. Koski R.A. Elledge S.J. Xavier R.J. Agaisse H. Fikrig E. RNA interference screen for human genes associated with West Nile virus infection.Nature. 2008; 455: 242-245Crossref PubMed Scopus (409) Google Scholar, 16Sessions O.M. Barrows N.J. Souza-Neto J.A. Robinson T.J. Hershey C.L. Rodgers M.A. Ramirez J.L. Dimopoulos G. Yang P.L. Pearson J.L. Garcia-Blanco M.A. Discovery of insect and human dengue virus host factors.Nature. 2009; 458: 1047-1050Crossref PubMed Scopus (288) Google Scholar, 40Rothwell C. Lebreton A. Young Ng C. Lim J.Y. Liu W. Vasudevan S. Labow M. Gu F. Gaither L.A. Cholesterol biosynthesis modulation regulates dengue viral replication.Virology. 2009; 389: 8-19Crossref PubMed Scopus (169) Google Scholar, 41Ang F. Wong A.P. Ng M.M. Chu J.J. Small interference RNA profiling reveals the essential role of human membrane trafficking genes in mediating the infectious entry of dengue virus.Virol J. 2010; 7: 24Crossref PubMed Scopus (47) Google Scholar, 42Heaton N.S. Perera R. Berger K.L. Khadka S. Lacount D.J. Kuhn R.J. Randall G. Dengue virus nonstructural protein 3 redistributes fatty acid synthase to sites of viral replication and increases cellular fatty acid synthesis.Proc. Natl. Acad. Sci. U.S.A. 2010; 107: 17345-17350Crossref PubMed Scopus (294) Google Scholar), the number of host factors that have been demonstrated to interact with DENV proteins is small, and no genome-wide screen has been reported to date. Thus, to systematically identify cellular proteins that bind to DENV proteins, we used the yeast two-hybrid assay to screen DENV genes against a human liver cDNA library (43LaCount D.J. Vignali M. Chettier R. Phansalkar A. Bell R. Hesselberth J.R. Schoenfeld L.W. Ota I. Sahasrabudhe S. Kurschner C. Fields S. Hughes R.E. A protein interaction network of the malaria parasite Plasmodium falciparum.Nature. 2005; 438: 103-107Crossref PubMed Scopus (400) Google Scholar). We report the identification of more than 130 new interactions between DENV and human proteins and the validation of a subset of these interactions through split-luciferase, siRNA, and colocalization experiments. Furthermore, we show that DENV, like HIV, herpes viruses, and HCV, preferentially interacts with cellular proteins that are centrally located in the human protein interaction network. Yeast were maintained under standard laboratory conditions (44Guthrie C. Fink G.R. Guide to yeast genetics and molecular biology. Academic Press, San Diego, CA1981Google Scholar). Open reading frames and open reading frame fragments were amplified from DENV serotype 2 strain 16681 with gene-specific primers bearing 5′ 20-bp extensions (forward 5′-CCAAACCCAAAAAAAGAGATC-3′; reverse 5′- GTTTTTCAGTATCTACGATTCA-3′) homologous to the yeast two-hybrid DNA-binding domain plasmid pOBD2 (45Uetz P. Giot L. Cagney G. Mansfield T.A. Judson R.S. Knight J.R. Lockshon D. Narayan V. Srinivasan M. Pochart P. Qureshi-Emili A. Li Y. Godwin B. Conover D. Kalbfleisch T. Vijayadamodar G. Yang M. Johnston M. Fields S. Rothberg J.M. A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.Nature. 2000; 403: 623-627Crossref PubMed Scopus (3784) Google Scholar). PCR primer sequences are listed in supplemental Table S1. PCR products were cloned into linearized pOBD2 by in vivo homologous recombination in the yeast strain R2HMet (MATa ura3–52 ade2–101 trp1–901 leu2–3,112 his3–200 met2Δ::hisG gal4Δ gal80Δ) (supplemental Fig. S1) (43LaCount D.J. Vignali M. Chettier R. Phansalkar A. Bell R. Hesselberth J.R. Schoenfeld L.W. Ota I. Sahasrabudhe S. Kurschner C. Fields S. Hughes R.E. A protein interaction network of the malaria parasite Plasmodium falciparum.Nature. 2005; 438: 103-107Crossref PubMed Scopus (400) Google Scholar, 46Ma H. Kunes S. Schatz P.J. Botstein D. Plasmid construction by homologous recombination in yeast.Gene. 1987; 58: 201-216Crossref PubMed Google Scholar). All inserts were verified by PCR and sequencing. DENV DNA-binding domain constructs were screened against a human liver yeast two-hybrid library cloned into the activation domain plasmid pOAD.103 in yeast strain BK100 (MATa ura3–52 ade2–101 trp1–901 leu2–3,112 his3–200 gal4Δ gal80Δ GAL2-ADE2 LYS2::GAL1-HIS3 met2::GAL7-lacZ, a derivative of PJ69–4A) (43LaCount D.J. Vignali M. Chettier R. Phansalkar A. Bell R. Hesselberth J.R. Schoenfeld L.W. Ota I. Sahasrabudhe S. Kurschner C. Fields S. Hughes R.E. A protein interaction network of the malaria parasite Plasmodium falciparum.Nature. 2005; 438: 103-107Crossref PubMed Scopus (400) Google Scholar, 47James P. Halladay J. Craig E.A. Genomic libraries and a host strain designed for highly efficient two-hybrid selection in yeast.Genetics. 1996; 144: 1425-1436Crossref PubMed Google Scholar, 48Vignali M. McKinlay A. LaCount D.J. Chettier R. Bell R. Sahasrabudhe S. Hughes R.E. Fields S. Interaction of an atypical Plasmodium falciparum ETRAMP with human apolipoproteins.Malar J. 2008; 7: 211Crossref PubMed Scopus (36) Google Scholar). The original library contained 9.6 × 105 independent clones with an average insert size of 840 bp. The optimal concentration of 3-amino-1,2,4-triazole (3-AT) to suppress yeast growth in the absence of an interacting activation domain fusion (self-activation) was determined by growth on synthetic dropout (S.D.) medium lacking tryptophan, leucine, uracil, and histidine (S.D.-TLUH) and containing increasing amounts of 3-AT (1, 3, 5, 10, 20, and 50 mm). The lowest concentration of 3-AT that was able to suppress yeast growth - typically 1 or 3 mm - was used for the yeast two-hybrid assays. Library screens were performed by mating as described by Soellick and Uhrig (49Soellick T.R. Uhrig J.F. Development of an optimized interaction-mating protocol for large-scale yeast two-hybrid analyses.Genome Biol. 2001; 2 (RESEARCH0052)Crossref PubMed Google Scholar). All DNA-binding domain clones were screened at least twice against the human liver activation domain library. Colonies expressing interacting proteins were selected on S.D.-TLUH medium containing the concentration of 3-AT as determined above. The human gene inserts from the activation domain plasmids were PCR-amplified, sequenced from the 5′ end, and identified by querying the human RefSeq database (downloaded 3/4/08) using Cross_Match (129Green, P., Cross_Match program (part of Phrap package from Phil Green's documentation, www.phrap.org)Google Scholar). To retest the yeast two-hybrid interactions, PCR products of activation domain inserts from unique interactions were recloned into pOAD.103 by in vivo recombination in the yeast strain BK100. In addition, all unique interactions identified in a similar screen of HCV proteins against the same human liver library were recloned in the same manner (the full data set of HCV-human interactions will be presented elsewhere; manuscript in preparation). The resulting yeast strains were arrayed in quadruplicate in 384-spot format, mated with yeast expressing DNA binding domain fusions, and selected for growth on: (1) S.D.-TLUH containing the minimum concentration of 3-AT to suppress background growth; (2) S.D.-TLUH containing 3-AT at a concentration one step above that required to suppress background growth; and (3) S.D. medium lacking tryptophan, leucine, uracil, and adenine (S.D.-TLUA). Yeast growth was assessed on a scale of 0 to 4, with 0 being no growth above that observed for the negative control and 4 being robust growth. To standardize the results from different screens, each plate included a set of control yeast strains that displayed a range of growth rates on S.D.-TLUH+3-AT and S.D.-TLUA. Interactions were scored as positive if

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