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<title xml:lang="en">Highly conserved antigenic epitope regions of hemagglutinin and neuraminidase genes between 2009 H1N1 and seasonal H1N1 influenza: vaccine considerations</title>
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<name sortKey="Huang, Ping" sort="Huang, Ping" uniqKey="Huang P" first="Ping" last="Huang">Ping Huang</name>
<affiliation>
<nlm:aff id="I1">Key Laboratory for Emergency Pathogen Detection, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China</nlm:aff>
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<affiliation>
<nlm:aff id="I3">Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China</nlm:aff>
</affiliation>
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<author>
<name sortKey="Yu, Shouyi" sort="Yu, Shouyi" uniqKey="Yu S" first="Shouyi" last="Yu">Shouyi Yu</name>
<affiliation>
<nlm:aff id="I2">Department of Epidemiology, School of Public Health and Tropic Medicine, Southern Medical University, Guangzhou, 510515, China</nlm:aff>
</affiliation>
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<author>
<name sortKey="Wu, Changyou" sort="Wu, Changyou" uniqKey="Wu C" first="Changyou" last="Wu">Changyou Wu</name>
<affiliation>
<nlm:aff id="I4">Institute of Immunology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Liang, Lijun" sort="Liang, Lijun" uniqKey="Liang L" first="Lijun" last="Liang">Lijun Liang</name>
<affiliation>
<nlm:aff id="I1">Key Laboratory for Emergency Pathogen Detection, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="I3">Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China</nlm:aff>
</affiliation>
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<idno type="pmid">23433453</idno>
<idno type="pmc">3606485</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3606485</idno>
<idno type="RBID">PMC:3606485</idno>
<idno type="doi">10.1186/1479-5876-11-47</idno>
<date when="2013">2013</date>
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<title xml:lang="en" level="a" type="main">Highly conserved antigenic epitope regions of hemagglutinin and neuraminidase genes between 2009 H1N1 and seasonal H1N1 influenza: vaccine considerations</title>
<author>
<name sortKey="Huang, Ping" sort="Huang, Ping" uniqKey="Huang P" first="Ping" last="Huang">Ping Huang</name>
<affiliation>
<nlm:aff id="I1">Key Laboratory for Emergency Pathogen Detection, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="I3">Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Yu, Shouyi" sort="Yu, Shouyi" uniqKey="Yu S" first="Shouyi" last="Yu">Shouyi Yu</name>
<affiliation>
<nlm:aff id="I2">Department of Epidemiology, School of Public Health and Tropic Medicine, Southern Medical University, Guangzhou, 510515, China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wu, Changyou" sort="Wu, Changyou" uniqKey="Wu C" first="Changyou" last="Wu">Changyou Wu</name>
<affiliation>
<nlm:aff id="I4">Institute of Immunology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Liang, Lijun" sort="Liang, Lijun" uniqKey="Liang L" first="Lijun" last="Liang">Lijun Liang</name>
<affiliation>
<nlm:aff id="I1">Key Laboratory for Emergency Pathogen Detection, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="I3">Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China</nlm:aff>
</affiliation>
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<series>
<title level="j">Journal of Translational Medicine</title>
<idno type="eISSN">1479-5876</idno>
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<date when="2013">2013</date>
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<p>An immunoinformatics study was conducted to determine the highly conserved antigenic epitope regions of hemagglutinin (HA) and neuraminidase (NA) genes in the humoral immunity and CD4+ and CD8+ T cellular immunity between 2009 pandemic H1N1 (pH1N1) and seasonal H1N1 (sH1N1) viruses. It was found that in sH1N1 viruses, 29 epitope regions of HA genes and 8 epitope regions of NA genes which had been experimentally identified, were highly conserved (97.1-100.0%) in the corresponding genes and predictive epitopes of the pH1N1 viruses. The results suggested that highly conserved antigenic epitope regions might act as the basis of common antigenic vaccines against pH1N1 and sH1N1 viruses.</p>
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<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Dawood, Fs" uniqKey="Dawood F">FS Dawood</name>
</author>
<author>
<name sortKey="Jain, S" uniqKey="Jain S">S Jain</name>
</author>
<author>
<name sortKey="Finelli, L" uniqKey="Finelli L">L Finelli</name>
</author>
<author>
<name sortKey="Shaw, Mw" uniqKey="Shaw M">MW Shaw</name>
</author>
<author>
<name sortKey="Lindstrom, S" uniqKey="Lindstrom S">S Lindstrom</name>
</author>
<author>
<name sortKey="Garten, Rj" uniqKey="Garten R">RJ Garten</name>
</author>
<author>
<name sortKey="Gubareva, Lv" uniqKey="Gubareva L">LV Gubareva</name>
</author>
<author>
<name sortKey="Xu, X" uniqKey="Xu X">X Xu</name>
</author>
<author>
<name sortKey="Bridges, Cb" uniqKey="Bridges C">CB Bridges</name>
</author>
<author>
<name sortKey="Uyeki, Tm" uniqKey="Uyeki T">TM Uyeki</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Garten, Rj" uniqKey="Garten R">RJ Garten</name>
</author>
<author>
<name sortKey="Davis, Ct" uniqKey="Davis C">CT Davis</name>
</author>
<author>
<name sortKey="Russell, Ca" uniqKey="Russell C">CA Russell</name>
</author>
<author>
<name sortKey="Shu, B" uniqKey="Shu B">B Shu</name>
</author>
<author>
<name sortKey="Lindstrom, S" uniqKey="Lindstrom S">S Lindstrom</name>
</author>
<author>
<name sortKey="Balish, A" uniqKey="Balish A">A Balish</name>
</author>
<author>
<name sortKey="Sessions, Wm" uniqKey="Sessions W">WM Sessions</name>
</author>
<author>
<name sortKey="Xu, X" uniqKey="Xu X">X Xu</name>
</author>
<author>
<name sortKey="Skepner, E" uniqKey="Skepner E">E Skepner</name>
</author>
<author>
<name sortKey="Deyde, V" uniqKey="Deyde V">V Deyde</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Maldonado, J" uniqKey="Maldonado J">J Maldonado</name>
</author>
<author>
<name sortKey="Van Reeth, K" uniqKey="Van Reeth K">K Van Reeth</name>
</author>
<author>
<name sortKey="Riera, P" uniqKey="Riera P">P Riera</name>
</author>
<author>
<name sortKey="Sitja, M" uniqKey="Sitja M">M Sitjà</name>
</author>
<author>
<name sortKey="Saubi, N" uniqKey="Saubi N">N Saubi</name>
</author>
<author>
<name sortKey="Espu A, E" uniqKey="Espu A E">E Espuña</name>
</author>
<author>
<name sortKey="Artigas, C" uniqKey="Artigas C">C Artigas</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Olsen, Cw" uniqKey="Olsen C">CW Olsen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Pica, N" uniqKey="Pica N">N Pica</name>
</author>
<author>
<name sortKey="Hai, R" uniqKey="Hai R">R Hai</name>
</author>
<author>
<name sortKey="Krammer, F" uniqKey="Krammer F">F Krammer</name>
</author>
<author>
<name sortKey="Wang, Tt" uniqKey="Wang T">TT Wang</name>
</author>
<author>
<name sortKey="Maamary, J" uniqKey="Maamary J">J Maamary</name>
</author>
<author>
<name sortKey="Eggink, D" uniqKey="Eggink D">D Eggink</name>
</author>
<author>
<name sortKey="Tan, Gs" uniqKey="Tan G">GS Tan</name>
</author>
<author>
<name sortKey="Krause, Jc" uniqKey="Krause J">JC Krause</name>
</author>
<author>
<name sortKey="Moran, T" uniqKey="Moran T">T Moran</name>
</author>
<author>
<name sortKey="Stein, Cr" uniqKey="Stein C">CR Stein</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Duvvuri, Vr" uniqKey="Duvvuri V">VR Duvvuri</name>
</author>
<author>
<name sortKey="Moghadas, Sm" uniqKey="Moghadas S">SM Moghadas</name>
</author>
<author>
<name sortKey="Guo, H" uniqKey="Guo H">H Guo</name>
</author>
<author>
<name sortKey="Duvvuri, B" uniqKey="Duvvuri B">B Duvvuri</name>
</author>
<author>
<name sortKey="Heffernan, Jm" uniqKey="Heffernan J">JM Heffernan</name>
</author>
<author>
<name sortKey="Fisman, Dn" uniqKey="Fisman D">DN Fisman</name>
</author>
<author>
<name sortKey="Wu, Ge" uniqKey="Wu G">GE Wu</name>
</author>
<author>
<name sortKey="Wu, J" uniqKey="Wu J">J Wu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Schanen, Bc" uniqKey="Schanen B">BC Schanen</name>
</author>
<author>
<name sortKey="De Groot, As" uniqKey="De Groot A">AS De Groot</name>
</author>
<author>
<name sortKey="Moise, L" uniqKey="Moise L">L Moise</name>
</author>
<author>
<name sortKey="Ardito, M" uniqKey="Ardito M">M Ardito</name>
</author>
<author>
<name sortKey="Mcclaine, E" uniqKey="Mcclaine E">E McClaine</name>
</author>
<author>
<name sortKey="Martin, W" uniqKey="Martin W">W Martin</name>
</author>
<author>
<name sortKey="Wittman, V" uniqKey="Wittman V">V Wittman</name>
</author>
<author>
<name sortKey="Warren, Wl" uniqKey="Warren W">WL Warren</name>
</author>
<author>
<name sortKey="Drake, Dr" uniqKey="Drake D">DR Drake</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Saha, S" uniqKey="Saha S">S Saha</name>
</author>
<author>
<name sortKey="Raghava, Gp" uniqKey="Raghava G">GP Raghava</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Strothmeyer, Am" uniqKey="Strothmeyer A">AM Strothmeyer</name>
</author>
<author>
<name sortKey="Papaioannou, D" uniqKey="Papaioannou D">D Papaioannou</name>
</author>
<author>
<name sortKey="Duhren Von Minden, M" uniqKey="Duhren Von Minden M">M Dühren-von Minden</name>
</author>
<author>
<name sortKey="Navarrete, M" uniqKey="Navarrete M">M Navarrete</name>
</author>
<author>
<name sortKey="Zirlik, K" uniqKey="Zirlik K">K Zirlik</name>
</author>
<author>
<name sortKey="Heining Mikesch, K" uniqKey="Heining Mikesch K">K Heining-Mikesch</name>
</author>
<author>
<name sortKey="Veelken, H" uniqKey="Veelken H">H Veelken</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Tan, L" uniqKey="Tan L">L Tan</name>
</author>
<author>
<name sortKey="Lu, H" uniqKey="Lu H">H Lu</name>
</author>
<author>
<name sortKey="Zhang, D" uniqKey="Zhang D">D Zhang</name>
</author>
<author>
<name sortKey="Tian, M" uniqKey="Tian M">M Tian</name>
</author>
<author>
<name sortKey="Hu, B" uniqKey="Hu B">B Hu</name>
</author>
<author>
<name sortKey="Wang, Z" uniqKey="Wang Z">Z Wang</name>
</author>
<author>
<name sortKey="Jin, N" uniqKey="Jin N">N Jin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Tamura, K" uniqKey="Tamura K">K Tamura</name>
</author>
<author>
<name sortKey="Peterson, D" uniqKey="Peterson D">D Peterson</name>
</author>
<author>
<name sortKey="Peterson, N" uniqKey="Peterson N">N Peterson</name>
</author>
<author>
<name sortKey="Stecher, G" uniqKey="Stecher G">G Stecher</name>
</author>
<author>
<name sortKey="Nei, M" uniqKey="Nei M">M Nei</name>
</author>
<author>
<name sortKey="Kumar, S" uniqKey="Kumar S">S Kumar</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Vita, R" uniqKey="Vita R">R Vita</name>
</author>
<author>
<name sortKey="Zarebski, L" uniqKey="Zarebski L">L Zarebski</name>
</author>
<author>
<name sortKey="Greenbaum, Ja" uniqKey="Greenbaum J">JA Greenbaum</name>
</author>
<author>
<name sortKey="Emami, H" uniqKey="Emami H">H Emami</name>
</author>
<author>
<name sortKey="Hoof, I" uniqKey="Hoof I">I Hoof</name>
</author>
<author>
<name sortKey="Salimi, N" uniqKey="Salimi N">N Salimi</name>
</author>
<author>
<name sortKey="Damle, R" uniqKey="Damle R">R Damle</name>
</author>
<author>
<name sortKey="Sette, A" uniqKey="Sette A">A Sette</name>
</author>
<author>
<name sortKey="Peters, B" uniqKey="Peters B">B Peters</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Arnold, K" uniqKey="Arnold K">K Arnold</name>
</author>
<author>
<name sortKey="Bordoli, L" uniqKey="Bordoli L">L Bordoli</name>
</author>
<author>
<name sortKey="Kopp, J" uniqKey="Kopp J">J Kopp</name>
</author>
<author>
<name sortKey="Schwede, T" uniqKey="Schwede T">T Schwede</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yang, Z" uniqKey="Yang Z">Z Yang</name>
</author>
<author>
<name sortKey="Lasker, K" uniqKey="Lasker K">K Lasker</name>
</author>
<author>
<name sortKey="Schneidman Duhovny, D" uniqKey="Schneidman Duhovny D">D Schneidman-Duhovny</name>
</author>
<author>
<name sortKey="Webb, B" uniqKey="Webb B">B Webb</name>
</author>
<author>
<name sortKey="Huang, Cc" uniqKey="Huang C">CC Huang</name>
</author>
<author>
<name sortKey="Pettersen, Ef" uniqKey="Pettersen E">EF Pettersen</name>
</author>
<author>
<name sortKey="Goddard, Td" uniqKey="Goddard T">TD Goddard</name>
</author>
<author>
<name sortKey="Meng, Ec" uniqKey="Meng E">EC Meng</name>
</author>
<author>
<name sortKey="Sali, A" uniqKey="Sali A">A Sali</name>
</author>
<author>
<name sortKey="Ferrin, Te" uniqKey="Ferrin T">TE Ferrin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Greenbaum, Ja" uniqKey="Greenbaum J">JA Greenbaum</name>
</author>
<author>
<name sortKey="Kotturi, Mf" uniqKey="Kotturi M">MF Kotturi</name>
</author>
<author>
<name sortKey="Kim, Y" uniqKey="Kim Y">Y Kim</name>
</author>
<author>
<name sortKey="Oseroff, C" uniqKey="Oseroff C">C Oseroff</name>
</author>
<author>
<name sortKey="Vaughan, K" uniqKey="Vaughan K">K Vaughan</name>
</author>
<author>
<name sortKey="Salimi, N" uniqKey="Salimi N">N Salimi</name>
</author>
<author>
<name sortKey="Vita, R" uniqKey="Vita R">R Vita</name>
</author>
<author>
<name sortKey="Ponomarenko, J" uniqKey="Ponomarenko J">J Ponomarenko</name>
</author>
<author>
<name sortKey="Scheuermann, Rh" uniqKey="Scheuermann R">RH Scheuermann</name>
</author>
<author>
<name sortKey="Sette, A" uniqKey="Sette A">A Sette</name>
</author>
<author>
<name sortKey="Peters, B" uniqKey="Peters B">B Peters</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gras, S" uniqKey="Gras S">S Gras</name>
</author>
<author>
<name sortKey="Kedzierski, L" uniqKey="Kedzierski L">L Kedzierski</name>
</author>
<author>
<name sortKey="Valkenburg, Sa" uniqKey="Valkenburg S">SA Valkenburg</name>
</author>
<author>
<name sortKey="Laurie, K" uniqKey="Laurie K">K Laurie</name>
</author>
<author>
<name sortKey="Liu, Yc" uniqKey="Liu Y">YC Liu</name>
</author>
<author>
<name sortKey="Denholm, Jt" uniqKey="Denholm J">JT Denholm</name>
</author>
<author>
<name sortKey="Richards, Mj" uniqKey="Richards M">MJ Richards</name>
</author>
<author>
<name sortKey="Rimmelzwaan, Gf" uniqKey="Rimmelzwaan G">GF Rimmelzwaan</name>
</author>
<author>
<name sortKey="Kelso, A" uniqKey="Kelso A">A Kelso</name>
</author>
<author>
<name sortKey="Doherty, Pc" uniqKey="Doherty P">PC Doherty</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mcelhaney, Je" uniqKey="Mcelhaney J">JE McElhaney</name>
</author>
<author>
<name sortKey="Xie, D" uniqKey="Xie D">D Xie</name>
</author>
<author>
<name sortKey="Hager, Wd" uniqKey="Hager W">WD Hager</name>
</author>
<author>
<name sortKey="Barry, Mb" uniqKey="Barry M">MB Barry</name>
</author>
<author>
<name sortKey="Wang, Y" uniqKey="Wang Y">Y Wang</name>
</author>
<author>
<name sortKey="Kleppinger, A" uniqKey="Kleppinger A">A Kleppinger</name>
</author>
<author>
<name sortKey="Ewen, C" uniqKey="Ewen C">C Ewen</name>
</author>
<author>
<name sortKey="Kane, Kp" uniqKey="Kane K">KP Kane</name>
</author>
<author>
<name sortKey="Bleackley, Rc" uniqKey="Bleackley R">RC Bleackley</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zhou, X" uniqKey="Zhou X">X Zhou</name>
</author>
<author>
<name sortKey="Mcelhaney, Je" uniqKey="Mcelhaney J">JE McElhaney</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Brahmachari, Sk" uniqKey="Brahmachari S">SK Brahmachari</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Liang, L" uniqKey="Liang L">L Liang</name>
</author>
<author>
<name sortKey="Huang, P" uniqKey="Huang P">P Huang</name>
</author>
<author>
<name sortKey="Wen, M" uniqKey="Wen M">M Wen</name>
</author>
<author>
<name sortKey="Ni, H" uniqKey="Ni H">H Ni</name>
</author>
<author>
<name sortKey="Tan, S" uniqKey="Tan S">S Tan</name>
</author>
<author>
<name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
<author>
<name sortKey="Chen, Q" uniqKey="Chen Q">Q Chen</name>
</author>
</analytic>
</biblStruct>
</listBibl>
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<journal-id journal-id-type="nlm-ta">J Transl Med</journal-id>
<journal-id journal-id-type="iso-abbrev">J Transl Med</journal-id>
<journal-title-group>
<journal-title>Journal of Translational Medicine</journal-title>
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<issn pub-type="epub">1479-5876</issn>
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<publisher-name>BioMed Central</publisher-name>
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<article-meta>
<article-id pub-id-type="pmid">23433453</article-id>
<article-id pub-id-type="pmc">3606485</article-id>
<article-id pub-id-type="publisher-id">1479-5876-11-47</article-id>
<article-id pub-id-type="doi">10.1186/1479-5876-11-47</article-id>
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<subj-group subj-group-type="heading">
<subject>Research</subject>
</subj-group>
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<title-group>
<article-title>Highly conserved antigenic epitope regions of hemagglutinin and neuraminidase genes between 2009 H1N1 and seasonal H1N1 influenza: vaccine considerations</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" id="A1">
<name>
<surname>Huang</surname>
<given-names>Ping</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I3">3</xref>
<email>pphuang1@163.com</email>
</contrib>
<contrib contrib-type="author" id="A2">
<name>
<surname>Yu</surname>
<given-names>Shouyi</given-names>
</name>
<xref ref-type="aff" rid="I2">2</xref>
<email>syyu01@126.com</email>
</contrib>
<contrib contrib-type="author" id="A3">
<name>
<surname>Wu</surname>
<given-names>Changyou</given-names>
</name>
<xref ref-type="aff" rid="I4">4</xref>
<email>cywu_sums@yeat.net</email>
</contrib>
<contrib contrib-type="author" id="A4">
<name>
<surname>Liang</surname>
<given-names>Lijun</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I3">3</xref>
<email>Lianglj2011@126.com</email>
</contrib>
</contrib-group>
<aff id="I1">
<label>1</label>
Key Laboratory for Emergency Pathogen Detection, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China</aff>
<aff id="I2">
<label>2</label>
Department of Epidemiology, School of Public Health and Tropic Medicine, Southern Medical University, Guangzhou, 510515, China</aff>
<aff id="I3">
<label>3</label>
Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China</aff>
<aff id="I4">
<label>4</label>
Institute of Immunology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China</aff>
<pub-date pub-type="collection">
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>22</day>
<month>2</month>
<year>2013</year>
</pub-date>
<volume>11</volume>
<fpage>47</fpage>
<lpage>47</lpage>
<history>
<date date-type="received">
<day>19</day>
<month>12</month>
<year>2012</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>2</month>
<year>2013</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright ©2013 Huang et al.; licensee BioMed Central Ltd.</copyright-statement>
<copyright-year>2013</copyright-year>
<copyright-holder>Huang et al.; licensee BioMed Central Ltd.</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.translational-medicine.com/content/11/1/47"></self-uri>
<abstract>
<p>An immunoinformatics study was conducted to determine the highly conserved antigenic epitope regions of hemagglutinin (HA) and neuraminidase (NA) genes in the humoral immunity and CD4+ and CD8+ T cellular immunity between 2009 pandemic H1N1 (pH1N1) and seasonal H1N1 (sH1N1) viruses. It was found that in sH1N1 viruses, 29 epitope regions of HA genes and 8 epitope regions of NA genes which had been experimentally identified, were highly conserved (97.1-100.0%) in the corresponding genes and predictive epitopes of the pH1N1 viruses. The results suggested that highly conserved antigenic epitope regions might act as the basis of common antigenic vaccines against pH1N1 and sH1N1 viruses.</p>
</abstract>
<kwd-group>
<kwd>Influenza</kwd>
<kwd>H1N1</kwd>
<kwd>Epitope</kwd>
<kwd>Vaccine</kwd>
<kwd>Immunoinformatic</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec>
<title>Introduction</title>
<p>On April 15 2009, a novel pandemic influenza A (pH1N1) virus was identified from specimens obtained from influenza patients in the United States, subsequently, large numbers of confirmed cases of human pH1N1 have been identified worldwide [
<xref ref-type="bibr" rid="B1">1</xref>
]. The pH1N1 virus contains a combination of gene segments that has not previously been reported in swine or human influenza viruses either in the USA or elsewhere [
<xref ref-type="bibr" rid="B2">2</xref>
]. Viruses with a NA gene segment were originally derived from a wholly avian influenza virus, which entered the Eurasian swine population in 1979. It continued to circulate throughout Eurasia [
<xref ref-type="bibr" rid="B3">3</xref>
], however, it had not been previously reported outside this region. The HA gene segment was part of the classical swine lineage with the virus infecting pigs around 1918 and subsequently circulated in classical swine viruses and triple reassortant swine viruses [
<xref ref-type="bibr" rid="B4">4</xref>
].</p>
<p>Influenza pandemics occur when human have no immunity against a particular influenza virus, in this case, containing both HA and NA genes that evolve to be efficiently transmitted from human-to-human. The genomes of the last three pandemic influenza viruses (1918 H1N1, 1957 H2N2 and 1968 H3N2) all originated either wholly or partly from non-human reservoirs, with the HA genes of all pandemic viruses ultimately originating from avian influenza viruses [
<xref ref-type="bibr" rid="B2">2</xref>
]. The pH1N1 virus induced most neutralizing antibodies, which were broadly cross-reactive against epitopes in the hemagglutinin (HA) stalk and head domain of multiple influenza strains, including the seasonal H1N1 virus (sH1N1) [
<xref ref-type="bibr" rid="B5">5</xref>
]. Based on the above observations, it was postulated that the plasmablasts that produced these broadly neutralizing antibodies were predominantly derived from activated memory B cells specific for epitopes conserved in some influenza strains. As immunity against influenza viruses involved not only B cell activation, but also T cell recognition and presentation, the T cell subgroups undoubtedly play an important role. By performing large-scale major histocompatibility complex (MHC) II analyses on HA proteins, the degree of T-cell cross-reactivity between sH1N1 from 1968 to 2009 and pH1N1 strains was investigated. The T-cell cross-reactivity was estimated at 52% between sH1N1 and pH1N1 [
<xref ref-type="bibr" rid="B6">6</xref>
]. From biological studies using peripheral blood mononuclear cell (PBMC) from human donors not previously exposed to the pandemic virus, pre-existing CD4+ T cells can elicit cross-reactive effector responses against the pandemic H1N1 virus. Computational tools were 80–90% accurate in predicting CD4+ T cell epitopes and their HLA-DRB1 -dependent response profiles in donors selected at random for human leukocyte antigen (HLA) haplotype [
<xref ref-type="bibr" rid="B7">7</xref>
]. HLA, also known as human MHC, is classically divided MHC I, II, III with human immunity against influenza involving MHC I and MHC II alleles in influenza. In this study, the highly conserved antigenic epitopes sequences and the locations of HA and NA proteins, including B-cell epitopes, MHC I and MHC II epitopes between pH1N1 and sH1N1 viruses, based on immunoinformatics, were analyzed. There were compared with epitopes in the Immune Epitope Database (IEDB) which contains experimentally identified epitopes in sH1N1 HA proteins, which may be helpful in design of common antigens of pH1N1 influenza and sH1N1 viruses.</p>
</sec>
<sec sec-type="methods">
<title>Methods</title>
<sec>
<title>Gene sequences sequenced and downloaded</title>
<p>The HA and NA gene sequences of nine pH1N1 viruses isolated from Guangdong, China, were sequenced (GenBank accession numbers GU471691–GU471695 and GU562466– GU562469 for NA and CY120915–CY120924 and CY120952 for HA), and the global corresponding genes (59 isolates) were obtained from GenBank. The 1495 HA and 2005 NA gene sequences of sH1N1 influenza isolated between 1998 and 2008 were downloaded from GenBank.</p>
</sec>
<sec>
<title>Prediction of B-cell epitopes, MHC I Epitopes and MHC II Epitopes</title>
<p>The B-cell epitopes containing at least 10 amino acids were predicted by ABCpred with a threshold values of 0.51 [
<xref ref-type="bibr" rid="B8">8</xref>
]. The MHC I molecules predicted by both BIMAS (explicit number = 100) and by SYFPEITHI (score ≥10.0) [
<xref ref-type="bibr" rid="B9">9</xref>
,
<xref ref-type="bibr" rid="B10">10</xref>
] were conducted, respectively, with the predictive epitopes containing at least 10 amino acids. The same epitope sequences predicted by both BIMAS and SYFPEITHI were determined. The MHC II molecules predicted by SYFPEITHI (score ≥10.0) with epitopes comprised of at least 10 amino acids were done [
<xref ref-type="bibr" rid="B10">10</xref>
].</p>
</sec>
<sec>
<title>
<bold>
<italic>Epitopes in</italic>
</bold>
IEDB</title>
<p>The HA and NA gene sequences of sH1N1 viruses isolated between 1998 and 2008 and pH1N1 viruses isolated in 2009 were aligned by Clustal-W of MEGA 5.05 [
<xref ref-type="bibr" rid="B11">11</xref>
]. The amino acid sequences were analyzed and the conserved ratios were calculated. The previously experimentally identified epitopes of HA and NA proteins in sH1N1 proteins in IEDB were selected [
<xref ref-type="bibr" rid="B12">12</xref>
].</p>
</sec>
<sec>
<title>Validation of conversed epitopes</title>
<p>The predictive epitope sequences of pH1N1 genes were compared with the corresponding genes of sH1N1 and those with < 90% of conserved regions were rejected. The remaining predictive epitope sequences of the pH1N1 genes were compared with epitopes in the IEDB with only those epitopes of sH1N1 genes with conserved regions of > 90% being selected. Finally, the only epitopes with > 95% conserved in IEDB of sH1N1 genes as well as the predictive epitope of pH1N1 was selected.</p>
</sec>
<sec>
<title>Homology Modeling</title>
<p>The homology model was generated using the SWISS-MODEL homology-modeling server [
<xref ref-type="bibr" rid="B13">13</xref>
] and decorated using the Cimera [
<xref ref-type="bibr" rid="B14">14</xref>
]. Some epitope regions were labeled in the three- dimensional (3D) structure.</p>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Prediction of B-cell epitopes, MHC I Epitopes and MHC II Epitopes</title>
<p>The HA and NA proteins of A/Guangdong/801/2009 (pH1N1) contained 567 amino acids coded by 1701 nucleotides and 470 amino acids coded by 1410 nucleotides, respectively; each having the identical gene lengths of the sH1N1 virus. The HA and NA proteins of 68 pH1N1 viruses were aligned to illustrated the variations in the proteins.</p>
<p>The B-cell epitopes predicted by ABCpred with a threshold values of 0.51 were 330 in HA and 278 in NA. The MHC I molecules in HLA-A1, HLA-A0201, HLA-A3 and HLA-A1101 of HA and NA proteins predicted by BIMAS (number of top-scoring = 100) were 400 in HA and 400 in NA, meanwhile those in HLA-A*01, HLA-A*0201, HLA- A*03 and HLA-A*1101 predicted by SYFPEITHI were 400 in HA and 400 in NA. The MHC II molecules in HLA-DRB1*0101, HLA-DRB1*0301, HLA-DRB1* 0401 HLA- DRB1*0701, HLA-DRB1*1101, and HLA-DRB1*1501 of HA and NA proteins predicted by SYFPEITHI were 1423 in HA and 1146 in NA.</p>
</sec>
<sec>
<title>Gene alignment and IEDB epitope</title>
<p>The 1432 (95.8% of 1495) proteins of sH1N1 HA and the 1928 (96.2% of 2005) proteins of sH1N1 NA were aligned after the reduplications in downloaded sequences were discharged. According to the above predictive B-cell epitope, MHC I molecules and MHC II molecules of pH1N1, the conserved ratio of each sH1N1 epitope sequence was acquired. Forty-six epitope sequences of sH1N1 HA proteins were searched in IEDB (291 epitopes of sH1N1 HA in IEDB) for those which had 90%-100% of conserved ratios and twenty-one epitope sequences of NA proteins were done (80 epitopes of sH1N1 NA in IEDB). The epitopes downloaded in IEDB mixed both B-cell epitopes and T-cell epitopes.</p>
</sec>
<sec>
<title>Conserved epitope</title>
<p>There were twenty-nine conserved epitope sequences in HA proteins with 97.1%-100% of conserved ratios between sH1N1 and pH1N1. Epitope SVIEKMNTQFTAV (IEDB No.80042, aa398-410) was overlapped with epitope SVIEKMNTQFTAVGKE (IEDB No.127161, aa398-413), shown in Table 
<xref ref-type="table" rid="T1">1</xref>
. There were eight conserved epitope sequences in NA proteins with conserved ratios of 99.3-99.9% between sH1N1 and pH1N1, shown in Table 
<xref ref-type="table" rid="T2">2</xref>
.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption>
<p>Conservancy of hemagglutinin (HA) epitopes of sH1N1 and pH1N1 influenza viruses</p>
</caption>
<table frame="hsides" rules="groups" border="1">
<colgroup>
<col align="left"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
</colgroup>
<thead valign="top">
<tr>
<th align="left">
<bold>HA sequence epitope</bold>
<sup>
<bold>a</bold>
</sup>
</th>
<th align="center">
<bold>Number (%) of study years conserved</bold>
<sup>
<bold>b</bold>
</sup>
</th>
<th align="center">
<bold>Epitope id in IEDB</bold>
</th>
<th align="center">
<bold>Possible B-cell epitope</bold>
<sup>
<bold>c</bold>
</sup>
</th>
<th align="center">
<bold>Possible MHC I allelesd</bold>
</th>
<th align="center">
<bold>Possible MHC II allelese</bold>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left" valign="bottom">IGYHANNSTDTVDTVLEK
<hr></hr>
</td>
<td align="center" valign="bottom">99.9
<hr></hr>
</td>
<td align="center" valign="bottom">95458
<hr></hr>
</td>
<td align="center" valign="bottom">IGYHANNSTD(22–31)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(22–39)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">NSTDTVDTVL(28–37)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701, DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">HANNSTDTVDTVLEKNV
<hr></hr>
</td>
<td align="center" valign="bottom">99.9
<hr></hr>
</td>
<td align="center" valign="bottom">128846
<hr></hr>
</td>
<td align="center" valign="bottom">NSTDTVDTVL(28–37)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(25–41)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">STDTVDTVLEKNVTVTHS
<hr></hr>
</td>
<td align="center" valign="bottom">99.9
<hr></hr>
</td>
<td align="center" valign="bottom">95880
<hr></hr>
</td>
<td align="center" valign="bottom">STDTVDTVLEKNVTVTHS
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(29–46)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">(29–46)
<hr></hr>
</td>
<td align="center" valign="bottom">A*03,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701, DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">DTVDTVLEKNVTVTHSV
<hr></hr>
</td>
<td align="center" valign="bottom">99.8
<hr></hr>
</td>
<td align="center" valign="bottom">128470
<hr></hr>
</td>
<td align="center" valign="bottom">NSTDTVDTVL(28–37)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(31–47)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DTVLEKNVTVTH(34–45)
<hr></hr>
</td>
<td align="center" valign="bottom">A*03,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701, DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">DYEELREQLSSVSSFER
<hr></hr>
</td>
<td align="center" valign="bottom">99.8
<hr></hr>
</td>
<td align="center" valign="bottom">128481
<hr></hr>
</td>
<td align="center" valign="bottom">YEELREQLSSVSSF
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(114–130)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">(115–128)
<hr></hr>
</td>
<td align="center" valign="bottom">A*03,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701, DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">EQLSSVSSFERFE
<hr></hr>
</td>
<td align="center" valign="bottom">99.8
<hr></hr>
</td>
<td align="center" valign="bottom">113375
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*03,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">EQLSSVSSFERFEIFPK
<hr></hr>
</td>
<td align="center" valign="bottom">99.9
<hr></hr>
</td>
<td align="center" valign="bottom">128569
<hr></hr>
</td>
<td align="center" valign="bottom">QLSSVSSFERFEIF
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*03,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(120–136)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">(121–134)
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701, DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">IQSRGLFGAIAGFIEGG
<hr></hr>
</td>
<td align="center" valign="bottom">99.9
<hr></hr>
</td>
<td align="center" valign="bottom">128979
<hr></hr>
</td>
<td align="center" valign="bottom">SRGLFGAIAG
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*03,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(341–357)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">(343–352)
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">FGAIAGFIEGGWTGMVD
<hr></hr>
</td>
<td align="center" valign="bottom">99.2
<hr></hr>
</td>
<td align="center" valign="bottom">128623
<hr></hr>
</td>
<td align="center" valign="bottom">AIAGFIEGGW
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(347–363)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">(349–358)
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">FIEGGWTGMVDGWYGYH
<hr></hr>
</td>
<td align="center" valign="bottom">99.2
<hr></hr>
</td>
<td align="center" valign="bottom">128629
<hr></hr>
</td>
<td align="center" valign="bottom">EGGWTGMVDGWY(355–366)
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0401,DRB1*0701,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(353–369)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">EGGWTGMVDGWYGY(355–368)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">TGMVDGWYGYHHQNEQG
<hr></hr>
</td>
<td align="center" valign="bottom">99.2
<hr></hr>
</td>
<td align="center" valign="bottom">130077
<hr></hr>
</td>
<td align="center" valign="bottom">TGMVDGWYGYHH(359–370)
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(359–375)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">TGMVDGWYGYHHQNEQGS
<hr></hr>
</td>
<td align="center" valign="bottom">99.2
<hr></hr>
</td>
<td align="center" valign="bottom">95905
<hr></hr>
</td>
<td align="center" valign="bottom">TGMVDGWYGYHH(359–370)
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(359–376)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">WYGYHHQNEQGSGYAAD
<hr></hr>
</td>
<td align="center" valign="bottom">100.0
<hr></hr>
</td>
<td align="center" valign="bottom">130354
<hr></hr>
</td>
<td align="center" valign="bottom">YGYHHQNEQGSGYA
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0401,DRB1*0701,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(365–381)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">(366–379)
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*1101
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">TNKVNSVIEKMNTQFTA
<hr></hr>
</td>
<td align="center" valign="bottom">99.6
<hr></hr>
</td>
<td align="center" valign="bottom">130108
<hr></hr>
</td>
<td align="center" valign="bottom">TNKVNSVIEKMNTQFTAV
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(393–409)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">(393–410)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">NKVNSVIEKMNTQFTAVG
<hr></hr>
</td>
<td align="center" valign="bottom">99.6
<hr></hr>
</td>
<td align="center" valign="bottom">95623
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(394–411)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">SVIEKMNTQFTAV(398–410)
<hr></hr>
</td>
<td align="center" valign="bottom">99.5
<hr></hr>
</td>
<td align="center" valign="bottom">80042
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0401,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">SVIEKMNTQFTAVGKE(398–413)
<hr></hr>
</td>
<td align="center" valign="bottom">99.
<hr></hr>
</td>
<td align="center" valign="bottom">127161
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">VIEKMNTQFTAVGKEFN
<hr></hr>
</td>
<td align="center" valign="bottom">99.4
<hr></hr>
</td>
<td align="center" valign="bottom">130227
<hr></hr>
</td>
<td align="center" valign="bottom">KMNTQFTAVGKEFN(402-415)
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(399–415)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">EKMNTQFTAVGKE(401–413)
<hr></hr>
</td>
<td align="center" valign="bottom">99.9
<hr></hr>
</td>
<td align="center" valign="bottom">7980
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*03, A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0401,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">NLNKKVDDGFLDIWTYN
<hr></hr>
</td>
<td align="center" valign="bottom">97.4
<hr></hr>
</td>
<td align="center" valign="bottom">129494
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(423–439)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">A*03,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">DDGFLDIWTYNAELLVL
<hr></hr>
</td>
<td align="center" valign="bottom">97.5
<hr></hr>
</td>
<td align="center" valign="bottom">128403
<hr></hr>
</td>
<td align="center" valign="bottom">DDGFLDIWTYNAEL(429–442)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(429–445)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">A*03,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">DGFLDIWTYNAELLV
<hr></hr>
</td>
<td align="center" valign="bottom">97.1
<hr></hr>
</td>
<td align="center" valign="bottom">113324
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(430–444)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">IWTYNAELLVLLENERT
<hr></hr>
</td>
<td align="center" valign="bottom">99.7
<hr></hr>
</td>
<td align="center" valign="bottom">129015
<hr></hr>
</td>
<td align="center" valign="bottom">WTYNAELLVLLENE(436–449)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(435–451)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">A*03,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">WTYNAELLVLLENERTLD
<hr></hr>
</td>
<td align="center" valign="bottom">100.0
<hr></hr>
</td>
<td align="center" valign="bottom">96007
<hr></hr>
</td>
<td align="center" valign="bottom">WTYNAELLVLLENE(436–449)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(436–453)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">A*03,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">ELLVLLENERTLD 99.9
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">79809
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(441–453)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">LKNNAKEIGNGCFEFYH
<hr></hr>
</td>
<td align="center" valign="bottom">99.9
<hr></hr>
</td>
<td align="center" valign="bottom">129255
<hr></hr>
</td>
<td align="center" valign="bottom">KNNAKEIGNGCFEF(471–484)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*03,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(470–486)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">MESVKNGTYDYPKYSEE
<hr></hr>
</td>
<td align="center" valign="bottom">99.8
<hr></hr>
</td>
<td align="center" valign="bottom">129388
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0701,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(493–509)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">A*03,A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">SLGAISFWMCSNGSLQ
<hr></hr>
</td>
<td align="center" valign="bottom">99.7
<hr></hr>
</td>
<td align="center" valign="bottom">129938
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*03,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0301,DRB1*0401, DRB1*1101,
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">(546–561)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="left" valign="bottom">SFWMCSNGSLQCRICI
<hr></hr>
</td>
<td align="center" valign="bottom">99.3
<hr></hr>
</td>
<td align="center" valign="bottom">129890
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401,
<hr></hr>
</td>
</tr>
<tr>
<td align="left">(551–566)</td>
<td align="center"> </td>
<td align="center"> </td>
<td align="center"> </td>
<td align="center"> </td>
<td align="center">DRB1*0701,DRB1*1501</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>a. Epitopes in IEDB were experimentally identified epitopes in sH1N1 HA genes. b. The conservancy ratio of 1432 genes of sH1N1 HA sequences, whose strains isolated from 1968 to 2008. c. The B-cell epitopes of pH1N1 HA genes are predicted by ABCpred in 10 mer or more, respectively. d. MHC I alleles of 10 mer and more of pH1N1 HA genes are Predicted by BIMAS (explicit number = 100) and SYFPEITHI (score ≥10.0), respectively. The same epitope sequences predicted by both BIMAS and SYFPEITHI were determined. e. MHC II alleles of 10 mer and more of pH1N1 HA genes are predicted by SYFPEITHI (score ≥10.0), respectively.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption>
<p>Conservancy of neuraminidase (NA) epitopes of sH1N1 and pH1N1 influenza viruses</p>
</caption>
<table frame="hsides" rules="groups" border="1">
<colgroup>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
</colgroup>
<thead valign="top">
<tr>
<th align="center">
<bold>NA sequence epitope</bold>
<sup>
<bold>a</bold>
</sup>
</th>
<th align="center">
<bold>Number (%) of study years conserved</bold>
<sup>
<bold>b</bold>
</sup>
</th>
<th align="center">
<bold>Epitope id in IEDB</bold>
</th>
<th align="center">
<bold>Possible B-cell epitope</bold>
<sup>
<bold>c</bold>
</sup>
</th>
<th align="center">
<bold>Possible MHC I alleles</bold>
<sup>
<bold>d</bold>
</sup>
</th>
<th align="center">
<bold>Possible MHC II alleles</bold>
<sup>
<bold>e</bold>
</sup>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center" valign="bottom">KDNSIRIGSKGDVFVIR
<hr></hr>
</td>
<td align="center" valign="bottom">99.8
<hr></hr>
</td>
<td align="center" valign="bottom">129048
<hr></hr>
</td>
<td align="center" valign="bottom">SIRIGSKGDV(105–114)
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*03,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">(102–118)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DNSIRIGSKGDVFV(103–116)
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">IGSKGDVFVIREPFIS
<hr></hr>
</td>
<td align="center" valign="bottom">99.8
<hr></hr>
</td>
<td align="center" valign="bottom">128924
<hr></hr>
</td>
<td align="center" valign="bottom">GDVFVIREPF(112–121)
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*03, A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*1101,DRB1*1501,
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">RTFFLTQGALLNDKHSN
<hr></hr>
</td>
<td align="center" valign="bottom">99.5
<hr></hr>
</td>
<td align="center" valign="bottom">127810
<hr></hr>
</td>
<td align="center" valign="bottom">FLTQGALLND(133–142)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*03,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">(130–146)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">FFLTQGALLNDKHS(132–145)
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0701,DRB1*1101,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">ISGPDNGAVAVLKYNGI
<hr></hr>
</td>
<td align="center" valign="bottom">99.5
<hr></hr>
</td>
<td align="center" valign="bottom">128994
<hr></hr>
</td>
<td align="center" valign="bottom">ISGPDNGAVAVLKY(195–208)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0301,DRB1*0401,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">(195–211)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">GPDNGAVAVL(197–206)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">VCRDNWHGSNRPWVSFN
<hr></hr>
</td>
<td align="center" valign="bottom">99.9
<hr></hr>
</td>
<td align="center" valign="bottom">130190
<hr></hr>
</td>
<td align="center" valign="bottom">CRDNWHGSNRPW(292–303)
<hr></hr>
</td>
<td align="center" valign="bottom">A*01
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0401,DRB1*0701,
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">(291–307)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">RDNWHGSNRPWVSF(293–306)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*1101
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">WSGYSGSFVQHPELTGL
<hr></hr>
</td>
<td align="center" valign="bottom">99.9
<hr></hr>
</td>
<td align="center" valign="bottom">130342
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*0201,A*03,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0401,DRB1*0701,
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">(399–415)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">A*1101
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*1101,DRB1*1501,
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">SFVQHPELTGLDCIRP
<hr></hr>
</td>
<td align="center" valign="bottom">99.2
<hr></hr>
</td>
<td align="center" valign="bottom">129889
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*01, A*0201,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0401,DRB1*1501
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">(405–420)
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
<td align="center" valign="bottom">A*03, A*1101
<hr></hr>
</td>
<td align="center" valign="bottom"> 
<hr></hr>
</td>
</tr>
<tr>
<td align="center" valign="bottom">PELTGLDCIRPCFWVEL
<hr></hr>
</td>
<td align="center" valign="bottom">99.3
<hr></hr>
</td>
<td align="center" valign="bottom">129560
<hr></hr>
</td>
<td align="center" valign="bottom">*
<hr></hr>
</td>
<td align="center" valign="bottom">A*01,A*0201,
<hr></hr>
</td>
<td align="center" valign="bottom">DRB1*0101,DRB1*0301,DRB1*0401
<hr></hr>
</td>
</tr>
<tr>
<td align="center">(410–426)</td>
<td align="center"> </td>
<td align="center"> </td>
<td align="center"> </td>
<td align="center">A*03,A*1101</td>
<td align="center">DRB1*0701,DRB1*1101,DRB1*1501</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>a. Epitopes in IEDB were experimentally identified epitopes in sH1N1 NA genes. b. The conservancy ratio of 1928 genes of sH1N1 NA sequences, whose strains isolated from 1968 to 2008. c. The B-cell epitopes of pH1N1 NA genes are predicted by ABCpred, respectively. d. MHC I alleles of 10 mer and more of pH1N1 NA genes are Predicted by BIMAS (explicit number = 100) and SYFPEITHI (score ≥10.0), respectively. The same epitope sequences predicted by both BIMAS and SYFPEITHI were determined. e. MHC II alleles of 10 mer and more of pH1N1 NA genes are predicted by SYFPEITHI (score ≥10.0), respectively.</p>
</table-wrap-foot>
</table-wrap>
<p>Only 62.1% (18/29) of predictive B-cell epitopes of pH1N1 HA proteins overlapped the conserved epitope sequences in sH1N1 HA proteins. The predictive sequences of MHC I molecules and MHC II molecules of pH1N1 covered almost all the conserved epitope sequences in sH1N1 HA proteins, but the positive ratios in HLA-A*0101, A*0201, A*03 and A*1101 were 37.9% (11/29), 62.1% (18/29), 48.3% (14/29) and 100% (29/29), respectively. Only 37.5% (3/8) of predictive B-cell epitopes of pH1N1 NA proteins overlapped the conserved epitope sequences in sH1N1 NA proteins. The predictive sequences of MHC I molecules and MHC II molecules of pH1N1 covered almost all the conserved epitope sequences in sH1N1 NA proteins, but the positive ratios in HLA-A*01, A*0201, A*03 and A*1101 were 62.5% (5/8), 75.0% (6/8), 50.0% (4/8) and 75.0% (6/8), respectively.</p>
<p>The predictive epitopes of MHC I and MHC II molecules of pH1N1 covered almost all the conserved epitope sequences in sH1N1 HA proteins, with the positive ratios in HLA-DRB1*0101, DRB1*0301, DRB1*0401, DRB1*0701, DRB1*1101 and DRB1*1501 being 86.2% (25/29), 79.3% (23/29), 93.1% (27/29), 82.8% (24/29), 55.2% (16/29) and 82.8% (24/29), respectively; and those in six HLA-DRB1 alleles were 75.0% (6/8), 50.0% (4/8), 87.5% (7/8), 62.5% (5/8), 75.0% (6/8) and 87.5% (7/8), respectively.</p>
</sec>
<sec>
<title>3D structure</title>
<p>The H1 hemagglutinin trimer of strain A/801/2009 was obtained using SWISS-MODEL. The 64.2% identity of 2wr0B in the Protein Data Bank (PDB) spanned amino acid residues from 18 to 511 with 2.45 Å X-ray resolution. The epitope region aa22-47 of the pH1N1 HA protein referred to that of the sH1N1 HA protein in IEDB (No. 95458, 95880, 128470 and 128846) and the epitope region aa341-363 referred to that of the sH1N1 HA protein in IEDB (No.128623 and 128979), whose atoms/bonds structures are shown in Figure 
<xref ref-type="fig" rid="F1">1</xref>
, and were positively predicted by all three methods (the B-cell epitope ABCpred, the MHC I molecule BIMAS and SYFPEITHI and the MHC II molecule SYFPEITHI. Both epitope regions were neighboring in close proximity in three-dimensional structure although the sequence positions spanned 294 amino acids, as shown in Figure 
<xref ref-type="fig" rid="F1">1</xref>
.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption>
<p>
<bold>HA tetramer decorated with two epitope regions. a</bold>
. Side view;
<bold>b</bold>
. Vertical view. AA22-47 and AA341-363 are IGYHANNSTDTVDTVLEKNVTVTHSV in red and IQSRGLFGAIAGFIEGGWTGMVD in magenta.</p>
</caption>
<graphic xlink:href="1479-5876-11-47-1"></graphic>
</fig>
<p>The N1 neuraminidase tetramer of strain A/Guangdong/801/2009 was obtained using SWISS- MODEL. The model 3ti4B in the Protein Data Bank (PDB) had the highest sequence homology (99.5% identity) at amino acid residues from 82 to 468 with 1.60 Å X-ray resolution, as shown in Figure 
<xref ref-type="fig" rid="F2">2</xref>
. There were the epitope region aa102-123 of pH1N1 HA proteins referred to that of sH1N1 HA proteins in IEDB (No.128924 and 129048) and the epitope region aa130-146 of pH1N1 HA proteins referred to that of sH1N1 HA proteins in IEDB (No.127810), whose atoms/bonds structures were shown in Figure 
<xref ref-type="fig" rid="F2">2</xref>
, and were positively predicted by the three methods. Both epitope regions were close in three-dimensional structure and the sequence positions spanned seven amino acids.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption>
<p>
<bold>NA tetramer decorated with two epitope regions.</bold>
AA102-123 and AA 130–146 are KDNSIRIGSKGDVFVIREPFIS in red and RTFFLTQGALLNDKHSN in magenta.</p>
</caption>
<graphic xlink:href="1479-5876-11-47-2"></graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The antigenic epitope analysis performed in this study suggested the presence of pre-existing cross-reactive humoral immunity, CD4+ and CD8+ T cellular immunity to pH1N1 in the human population from the conserved regions of HA and NA proteins. Although the sH1N1 virus emerged since the 1918 pandemic, it continues to circulate among the human population today, and might be the basis of pre-existing cross-reactive immunity [
<xref ref-type="bibr" rid="B7">7</xref>
,
<xref ref-type="bibr" rid="B15">15</xref>
,
<xref ref-type="bibr" rid="B16">16</xref>
]. However, such pre-existing T cell immune responses do not prevent infection once a person has been exposed to a virus [
<xref ref-type="bibr" rid="B17">17</xref>
], although T cell immunity could contribute to the viral clearance of infected cells (target cells), resulting in a reduction in disease severity, and furthermore, may indirectly reduce person-to-person spread [
<xref ref-type="bibr" rid="B15">15</xref>
,
<xref ref-type="bibr" rid="B18">18</xref>
].</p>
<p>Twenty-nine epitope regions of HA genes and eight epitope regions of NA genes which had been experimentally identified in sH1N1 viruses, were highly conserved (97.1-100.0%) in the corresponding genes and predictive epitopes of the pH1N1 viruses. Due to focus on the conserved epitope sequences in this study, the properties of IEDB epitopes (MHC binding, cellular assay, etc.) were excluded. Immune antigens of pathogens mainly involve the B-cell antigen, in addition to MHC I and MHC II molecules. In all conserved epitopes (37/37) in this study, more than half (23/37) of epitopes were B-cell epitopes. Some antigens responded to produce specific antibodies against the antigens. The MHC II molecules were related to CD4+ cell, which involved the antigenic recognition and presentation, were more active than the MHC I molecules related to CD8+ cell in this study.</p>
<p>As common antigens of influenza existed, it is potentially possible for a universal influenza vaccine to be achieved within pathogen genomes based on epitopes [
<xref ref-type="bibr" rid="B19">19</xref>
]. However, epitope selection to design a universal influenza vaccine warrants further research, particularly for the existence of specific B-cell and T-cell epitope repertoires, and also epitope binding to different MHC alleles in the heterogeneous human population. Immunoinformatics is accelerating the development of vaccines comprised of epitope ensembles and the confirmation of these vaccines in human clinical trials will serve to usher in a new era of epitope driven vaccine design [
<xref ref-type="bibr" rid="B19">19</xref>
,
<xref ref-type="bibr" rid="B20">20</xref>
]. Some highly conserved epitopes (including two HA epitope regions and two NA epitope regions in this study) are adjacent in the three-dimensional structure, which suggests the importance of the combination of epitopes when designing vaccine. In summary, these well-characterized epitopes could be combined as potential vaccine candidates and may confer broader cell mediated immunological responses to various subtypes of influenza A viruses. The results in this study suggested that highly conserved antigenic epitope regions might act as the basis of common antigenic vaccines against pH1N1 and sH1N1 viruses.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<sec>
<title>Authors’ contributions</title>
<p>PH: Conceived and designed the study, developed the model and wrote the manuscript. SYY: Designed the study and provided important intellectual concept of the study. CYW: Designed the study and provided support for the study. LJL: Developed the model, wrote the manuscript and provided support for the study. All authors read and approved the final manuscript.</p>
</sec>
</body>
<back>
<sec>
<title>Acknowledgements</title>
<p>This work was financially supported by a grant from the National Natural Science Foundation of China (No. 30972757).</p>
</sec>
<ref-list>
<ref id="B1">
<mixed-citation publication-type="journal">
<name>
<surname>Dawood</surname>
<given-names>FS</given-names>
</name>
<name>
<surname>Jain</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Finelli</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Shaw</surname>
<given-names>MW</given-names>
</name>
<name>
<surname>Lindstrom</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Garten</surname>
<given-names>RJ</given-names>
</name>
<name>
<surname>Gubareva</surname>
<given-names>LV</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Bridges</surname>
<given-names>CB</given-names>
</name>
<name>
<surname>Uyeki</surname>
<given-names>TM</given-names>
</name>
<article-title>Emergence of a novel swine-origin influenza A (H1N1) virus in humans</article-title>
<source>N Engl J Med</source>
<year>2009</year>
<volume>360</volume>
<issue>25</issue>
<fpage>2605</fpage>
<lpage>2615</lpage>
<pub-id pub-id-type="pmid">19423869</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<mixed-citation publication-type="journal">
<name>
<surname>Garten</surname>
<given-names>RJ</given-names>
</name>
<name>
<surname>Davis</surname>
<given-names>CT</given-names>
</name>
<name>
<surname>Russell</surname>
<given-names>CA</given-names>
</name>
<name>
<surname>Shu</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Lindstrom</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Balish</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Sessions</surname>
<given-names>WM</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Skepner</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Deyde</surname>
<given-names>V</given-names>
</name>
<article-title>Antigenic and genetic characteristics of swine-origin 2009 A(H1N1) influenza viruses circulating in humans</article-title>
<source>Science</source>
<year>2009</year>
<volume>325</volume>
<issue>5937</issue>
<fpage>197</fpage>
<lpage>201</lpage>
<pub-id pub-id-type="doi">10.1126/science.1176225</pub-id>
<pub-id pub-id-type="pmid">19465683</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<mixed-citation publication-type="journal">
<name>
<surname>Maldonado</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Van Reeth</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Riera</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Sitjà</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Saubi</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Espuña</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Artigas</surname>
<given-names>C</given-names>
</name>
<article-title>Evidence of the concurrent circulation of H1N2, H1N1 and H3N2 influenza A viruses in densely populated pig areas in Spain</article-title>
<source>Vet J</source>
<year>2006</year>
<volume>172</volume>
<issue>4</issue>
<fpage>377</fpage>
<lpage>381</lpage>
<pub-id pub-id-type="pmid">15914047</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<mixed-citation publication-type="journal">
<name>
<surname>Olsen</surname>
<given-names>CW</given-names>
</name>
<article-title>The emergence of novel swine influenza viruses in North America</article-title>
<source>Virus Res</source>
<year>2002</year>
<volume>85</volume>
<issue>2</issue>
<fpage>199</fpage>
<lpage>210</lpage>
<pub-id pub-id-type="doi">10.1016/S0168-1702(02)00027-8</pub-id>
<pub-id pub-id-type="pmid">12034486</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<mixed-citation publication-type="journal">
<name>
<surname>Pica</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Hai</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Krammer</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>TT</given-names>
</name>
<name>
<surname>Maamary</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Eggink</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Tan</surname>
<given-names>GS</given-names>
</name>
<name>
<surname>Krause</surname>
<given-names>JC</given-names>
</name>
<name>
<surname>Moran</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Stein</surname>
<given-names>CR</given-names>
</name>
<article-title>Hemagglutinin stalk antibodies elicited by the 2009 pandemic influenza virus as a mechanism for the extinction of seasonal H1N1 viruses</article-title>
<source>Proc Natl Acad Sci U S A</source>
<year>2012</year>
<volume>109</volume>
<issue>7</issue>
<fpage>2573</fpage>
<lpage>2578</lpage>
<pub-id pub-id-type="doi">10.1073/pnas.1200039109</pub-id>
<pub-id pub-id-type="pmid">22308500</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<mixed-citation publication-type="journal">
<name>
<surname>Duvvuri</surname>
<given-names>VR</given-names>
</name>
<name>
<surname>Moghadas</surname>
<given-names>SM</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Duvvuri</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Heffernan</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Fisman</surname>
<given-names>DN</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>GE</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>J</given-names>
</name>
<article-title>Highly conserved cross-reactive CD4+ T-cell HA-epitopes of seasonal and the 2009 pandemic influenza viruses</article-title>
<source>Influenza Other Respi Viruses</source>
<year>2010</year>
<volume>4</volume>
<issue>5</issue>
<fpage>249</fpage>
<lpage>258</lpage>
<pub-id pub-id-type="doi">10.1111/j.1750-2659.2010.00161.x</pub-id>
<pub-id pub-id-type="pmid">20716156</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<mixed-citation publication-type="journal">
<name>
<surname>Schanen</surname>
<given-names>BC</given-names>
</name>
<name>
<surname>De Groot</surname>
<given-names>AS</given-names>
</name>
<name>
<surname>Moise</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Ardito</surname>
<given-names>M</given-names>
</name>
<name>
<surname>McClaine</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Martin</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Wittman</surname>
<given-names>V</given-names>
</name>
<name>
<surname>Warren</surname>
<given-names>WL</given-names>
</name>
<name>
<surname>Drake</surname>
<given-names>DR</given-names>
<suffix>3rd</suffix>
</name>
<article-title>Coupling sensitive in vitro and in silico techniques to assess cross-reactive CD4(+) T cells against the swine-origin H1N1 influenza virus</article-title>
<source>Vaccine</source>
<year>2011</year>
<volume>29</volume>
<issue>17</issue>
<fpage>3299</fpage>
<lpage>3309</lpage>
<pub-id pub-id-type="doi">10.1016/j.vaccine.2011.02.019</pub-id>
<pub-id pub-id-type="pmid">21349362</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<mixed-citation publication-type="journal">
<name>
<surname>Saha</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Raghava</surname>
<given-names>GP</given-names>
</name>
<article-title>Prediction methods for B-cell epitopes</article-title>
<source>Methods Mol Biol</source>
<year>2007</year>
<volume>409</volume>
<fpage>387</fpage>
<lpage>394</lpage>
<pub-id pub-id-type="doi">10.1007/978-1-60327-118-9_29</pub-id>
<pub-id pub-id-type="pmid">18450017</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<mixed-citation publication-type="journal">
<name>
<surname>Strothmeyer</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Papaioannou</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Dühren-von Minden</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Navarrete</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Zirlik</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Heining-Mikesch</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Veelken</surname>
<given-names>H</given-names>
</name>
<article-title>Comparative analysis of predicted HLA binding of immunoglobulin idiotype sequences indicates T cell-mediated immunosurveillance in follicular lymphoma</article-title>
<source>Blood</source>
<year>2010</year>
<volume>116</volume>
<issue>10</issue>
<fpage>1734</fpage>
<lpage>1736</lpage>
<pub-id pub-id-type="doi">10.1182/blood-2010-02-270199</pub-id>
<pub-id pub-id-type="pmid">20522710</pub-id>
</mixed-citation>
</ref>
<ref id="B10">
<mixed-citation publication-type="journal">
<name>
<surname>Tan</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Lu</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Tian</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>N</given-names>
</name>
<article-title>Protection against H1N1 influenza challenge by a DNA vaccine expressing H3/H1 subtype hemagglutinin combined with MHC class II-restricted epitopes</article-title>
<source>Virol J</source>
<year>2010</year>
<volume>7</volume>
<issue>1</issue>
<fpage>363</fpage>
<pub-id pub-id-type="doi">10.1186/1743-422X-7-363</pub-id>
<pub-id pub-id-type="pmid">21134292</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<mixed-citation publication-type="journal">
<name>
<surname>Tamura</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Peterson</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Peterson</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Stecher</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Nei</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Kumar</surname>
<given-names>S</given-names>
</name>
<article-title>MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods</article-title>
<source>Mol Biol Evol</source>
<year>2011</year>
<volume>28</volume>
<fpage>2731</fpage>
<lpage>2939</lpage>
<pub-id pub-id-type="doi">10.1093/molbev/msr121</pub-id>
<pub-id pub-id-type="pmid">21546353</pub-id>
</mixed-citation>
</ref>
<ref id="B12">
<mixed-citation publication-type="journal">
<name>
<surname>Vita</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Zarebski</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Greenbaum</surname>
<given-names>JA</given-names>
</name>
<name>
<surname>Emami</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Hoof</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Salimi</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Damle</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Sette</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Peters</surname>
<given-names>B</given-names>
</name>
<article-title>The immune epitope database 2.0</article-title>
<source>Nucleic Acids Res</source>
<year>2010</year>
<volume>38</volume>
<fpage>D854</fpage>
<lpage>D862</lpage>
<comment>Database issue</comment>
<pub-id pub-id-type="doi">10.1093/nar/gkp1004</pub-id>
<pub-id pub-id-type="pmid">19906713</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<mixed-citation publication-type="journal">
<name>
<surname>Arnold</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Bordoli</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Kopp</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Schwede</surname>
<given-names>T</given-names>
</name>
<article-title>The SWISS-MODEL Workspace: A web-based environment for protein structure homology modeling</article-title>
<source>Bioinformatics</source>
<year>2006</year>
<volume>22</volume>
<issue>2</issue>
<fpage>195</fpage>
<lpage>201</lpage>
<pub-id pub-id-type="doi">10.1093/bioinformatics/bti770</pub-id>
<pub-id pub-id-type="pmid">16301204</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<mixed-citation publication-type="journal">
<name>
<surname>Yang</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Lasker</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Schneidman-Duhovny</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Webb</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>CC</given-names>
</name>
<name>
<surname>Pettersen</surname>
<given-names>EF</given-names>
</name>
<name>
<surname>Goddard</surname>
<given-names>TD</given-names>
</name>
<name>
<surname>Meng</surname>
<given-names>EC</given-names>
</name>
<name>
<surname>Sali</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Ferrin</surname>
<given-names>TE</given-names>
</name>
<article-title>UCSF Chimera, MODELLER and IMP: an integrated modeling system</article-title>
<source>J Struct Biol</source>
<year>2012</year>
<volume>179</volume>
<issue>3</issue>
<fpage>269</fpage>
<lpage>278</lpage>
<pub-id pub-id-type="doi">10.1016/j.jsb.2011.09.006</pub-id>
<pub-id pub-id-type="pmid">21963794</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<mixed-citation publication-type="journal">
<name>
<surname>Greenbaum</surname>
<given-names>JA</given-names>
</name>
<name>
<surname>Kotturi</surname>
<given-names>MF</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Oseroff</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Vaughan</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Salimi</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Vita</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Ponomarenko</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Scheuermann</surname>
<given-names>RH</given-names>
</name>
<name>
<surname>Sette</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Peters</surname>
<given-names>B</given-names>
</name>
<article-title>Pre-existing immunity against swine-origin H1N1 influenza viruses in the general human population</article-title>
<source>Proc Natl Acad Sci U S A</source>
<year>2009</year>
<volume>106</volume>
<fpage>20365</fpage>
<lpage>20370</lpage>
<pub-id pub-id-type="doi">10.1073/pnas.0911580106</pub-id>
<pub-id pub-id-type="pmid">19918065</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<mixed-citation publication-type="journal">
<name>
<surname>Gras</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Kedzierski</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Valkenburg</surname>
<given-names>SA</given-names>
</name>
<name>
<surname>Laurie</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>YC</given-names>
</name>
<name>
<surname>Denholm</surname>
<given-names>JT</given-names>
</name>
<name>
<surname>Richards</surname>
<given-names>MJ</given-names>
</name>
<name>
<surname>Rimmelzwaan</surname>
<given-names>GF</given-names>
</name>
<name>
<surname>Kelso</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Doherty</surname>
<given-names>PC</given-names>
</name>
<article-title>Cross-reactive CD8+ T-cell immunity between the pandemic H1N1-2009 and H1N1-1918 influenza A viruses</article-title>
<source>Proc Natl Acad Sci U S A</source>
<year>2010</year>
<volume>107</volume>
<fpage>12599</fpage>
<lpage>12604</lpage>
<pub-id pub-id-type="doi">10.1073/pnas.1007270107</pub-id>
<pub-id pub-id-type="pmid">20616031</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<mixed-citation publication-type="journal">
<name>
<surname>McElhaney</surname>
<given-names>JE</given-names>
</name>
<name>
<surname>Xie</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Hager</surname>
<given-names>WD</given-names>
</name>
<name>
<surname>Barry</surname>
<given-names>MB</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Kleppinger</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Ewen</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Kane</surname>
<given-names>KP</given-names>
</name>
<name>
<surname>Bleackley</surname>
<given-names>RC</given-names>
</name>
<article-title>T cell responses are better correlates of vaccine protection in the elderly</article-title>
<source>J Immunol</source>
<year>2006</year>
<volume>176</volume>
<issue>10</issue>
<fpage>6333</fpage>
<lpage>6339</lpage>
<pub-id pub-id-type="pmid">16670345</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<mixed-citation publication-type="journal">
<name>
<surname>Zhou</surname>
<given-names>X</given-names>
</name>
<name>
<surname>McElhaney</surname>
<given-names>JE</given-names>
</name>
<article-title>Age-related changes in memory and effector T cells responding to influenza A/H3N2 and pandemic A/H1N1 strains in humans</article-title>
<source>Vaccine</source>
<year>2011</year>
<volume>29</volume>
<fpage>2169</fpage>
<lpage>2177</lpage>
<pub-id pub-id-type="doi">10.1016/j.vaccine.2010.12.029</pub-id>
<pub-id pub-id-type="pmid">21353149</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<mixed-citation publication-type="journal">
<name>
<surname>Brahmachari</surname>
<given-names>SK</given-names>
</name>
<article-title>Introducing the Medical bioinformatics in Journal of Translational Medicine</article-title>
<source>J Transl Med</source>
<year>2012</year>
<volume>10</volume>
<issue>1</issue>
<fpage>202</fpage>
<pub-id pub-id-type="doi">10.1186/1479-5876-10-202</pub-id>
<pub-id pub-id-type="pmid">23013487</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<mixed-citation publication-type="journal">
<name>
<surname>Liang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Wen</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Ni</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Tan</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Q</given-names>
</name>
<article-title>Epitope peptides of influenza H3N2 neuraminidase gene designed by immunoinformatics</article-title>
<source>Acta Bioch Bioph Sin</source>
<year>2012</year>
<volume>44</volume>
<issue>2</issue>
<fpage>113</fpage>
<lpage>118</lpage>
<pub-id pub-id-type="doi">10.1093/abbs/gmr101</pub-id>
</mixed-citation>
</ref>
</ref-list>
</back>
</pmc>
</record>

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