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Screening for Novel Small-Molecule Inhibitors Targeting the Assembly of Influenza Virus Polymerase Complex by a Bimolecular Luminescence Complementation-Based Reporter System

Identifieur interne : 000696 ( Pmc/Corpus ); précédent : 000695; suivant : 000697

Screening for Novel Small-Molecule Inhibitors Targeting the Assembly of Influenza Virus Polymerase Complex by a Bimolecular Luminescence Complementation-Based Reporter System

Auteurs : Chunfeng Li ; Zining Wang ; Yang Cao ; Lulan Wang ; Jingyun Ji ; Zhigao Chen ; Tao Deng ; Taijiao Jiang ; Genhong Cheng ; F. Xiao-Feng Qin

Source :

RBID : PMC:5309938

Abstract

ABSTRACT

Influenza virus RNA-dependent RNA polymerase consists of three viral protein subunits: PA, PB1, and PB2. Protein-protein interactions (PPIs) of these subunits play pivotal roles in assembling the functional polymerase complex, which is essential for the replication and transcription of influenza virus RNA. Here we developed a highly specific and robust bimolecular luminescence complementation (BiLC) reporter system to facilitate the investigation of influenza virus polymerase complex formation. Furthermore, by combining computational modeling and the BiLC reporter assay, we identified several novel small-molecule compounds that selectively inhibited PB1-PB2 interaction. Function of one such lead compound was confirmed by its activity in suppressing influenza virus replication. In addition, our studies also revealed that PA plays a critical role in enhancing interactions between PB1 and PB2, which could be important in targeting sites for anti-influenza intervention. Collectively, these findings not only aid the development of novel inhibitors targeting the formation of influenza virus polymerase complex but also present a new tool to investigate the exquisite mechanism of PPIs.

IMPORTANCE Formation of the functional influenza virus polymerase involves complex protein-protein interactions (PPIs) of PA, PB1, and PB2 subunits. In this work, we developed a novel BiLC assay system which is sensitive and specific to quantify both strong and weak PPIs between influenza virus polymerase subunits. More importantly, by combining in silico modeling and our BiLC assay, we identified a small molecule that can suppress influenza virus replication by disrupting the polymerase assembly. Thus, we developed an innovative method to investigate PPIs of multisubunit complexes effectively and to identify new molecules inhibiting influenza virus polymerase assembly.


Url:
DOI: 10.1128/JVI.02282-16
PubMed: 28031371
PubMed Central: 5309938

Links to Exploration step

PMC:5309938

Le document en format XML

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<affiliation>
<nlm:aff id="aff4">Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, California, USA</nlm:aff>
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<name sortKey="Qin, F Xiao Feng" sort="Qin, F Xiao Feng" uniqKey="Qin F" first="F. Xiao-Feng" last="Qin">F. Xiao-Feng Qin</name>
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<div type="abstract" xml:lang="en">
<title>ABSTRACT</title>
<p>Influenza virus RNA-dependent RNA polymerase consists of three viral protein subunits: PA, PB1, and PB2. Protein-protein interactions (PPIs) of these subunits play pivotal roles in assembling the functional polymerase complex, which is essential for the replication and transcription of influenza virus RNA. Here we developed a highly specific and robust bimolecular luminescence complementation (BiLC) reporter system to facilitate the investigation of influenza virus polymerase complex formation. Furthermore, by combining computational modeling and the BiLC reporter assay, we identified several novel small-molecule compounds that selectively inhibited PB1-PB2 interaction. Function of one such lead compound was confirmed by its activity in suppressing influenza virus replication. In addition, our studies also revealed that PA plays a critical role in enhancing interactions between PB1 and PB2, which could be important in targeting sites for anti-influenza intervention. Collectively, these findings not only aid the development of novel inhibitors targeting the formation of influenza virus polymerase complex but also present a new tool to investigate the exquisite mechanism of PPIs. </p>
<p>
<bold>IMPORTANCE</bold>
Formation of the functional influenza virus polymerase involves complex protein-protein interactions (PPIs) of PA, PB1, and PB2 subunits. In this work, we developed a novel BiLC assay system which is sensitive and specific to quantify both strong and weak PPIs between influenza virus polymerase subunits. More importantly, by combining
<italic>in silico</italic>
modeling and our BiLC assay, we identified a small molecule that can suppress influenza virus replication by disrupting the polymerase assembly. Thus, we developed an innovative method to investigate PPIs of multisubunit complexes effectively and to identify new molecules inhibiting influenza virus polymerase assembly.</p>
</div>
</front>
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<journal-meta>
<journal-id journal-id-type="nlm-ta">J Virol</journal-id>
<journal-id journal-id-type="iso-abbrev">J. Virol</journal-id>
<journal-id journal-id-type="hwp">jvi</journal-id>
<journal-id journal-id-type="pmc">jvi</journal-id>
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<issn pub-type="epub">1098-5514</issn>
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<article-id pub-id-type="pmc">5309938</article-id>
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<article-id pub-id-type="doi">10.1128/JVI.02282-16</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Vaccines and Antiviral Agents</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Screening for Novel Small-Molecule Inhibitors Targeting the Assembly of Influenza Virus Polymerase Complex by a Bimolecular Luminescence Complementation-Based Reporter System</article-title>
<alt-title alt-title-type="running-head">Screening for Influenza Virus Polymerase Inhibitors</alt-title>
<alt-title alt-title-type="short-authors">Li et al.</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Chunfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Zining</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>b</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>c</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Lulan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>d</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ji</surname>
<given-names>Jingyun</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>e</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Zhigao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Deng</surname>
<given-names>Tao</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>f</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Taijiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cheng</surname>
<given-names>Genhong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>d</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Qin</surname>
<given-names>F. Xiao-Feng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
</contrib>
<aff id="aff1">
<label>a</label>
Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, and Suzhou Institute of Systems Medicine, Suzhou, Jiangsu, China</aff>
<aff id="aff2">
<label>b</label>
Collaborative Innovation Center of Cancer Medicine, Department of Experimental Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou, China</aff>
<aff id="aff3">
<label>c</label>
Center of Growth, Metabolism and Aging, Key Lab of BioResources and EcoEnvironment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China</aff>
<aff id="aff4">
<label>d</label>
Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, California, USA</aff>
<aff id="aff5">
<label>e</label>
Key Laboratory of Gene Engineering of the Ministry of Education and State Key Laboratory for Biocontrol, Sun Yat-Sen University, Guangzhou, China</aff>
<aff id="aff6">
<label>f</label>
MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China</aff>
</contrib-group>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Jung</surname>
<given-names>Jae U.</given-names>
</name>
<role>Editor</role>
<aff>University of Southern California</aff>
</contrib>
</contrib-group>
<author-notes>
<corresp id="cor1">Address correspondence to Genhong Cheng,
<email>GCheng@mednet.ucla.edu</email>
, or F. Xiao-Feng Qin,
<email>fqin1@foxmail.com</email>
.</corresp>
<fn fn-type="equal">
<p>C.L., Z.W., and Y.C. contributed equally to this article.</p>
</fn>
<fn fn-type="equal">
<p>T.J., G.C., and F.X.-F.Q. are co-senior authors of this article.</p>
</fn>
<fn fn-type="other">
<p>
<bold>Citation</bold>
Li C, Wang Z, Cao Y, Wang L, Ji J, Chen Z, Deng T, Jiang T, Cheng G, Qin FX-F. 2017. Screening for novel small-molecule inhibitors targeting the assembly of influenza virus polymerase complex by a bimolecular luminescence complementation-based reporter system. J Virol 91:e02282-16.
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1128/JVI.02282-16">https://doi.org/10.1128/JVI.02282-16</ext-link>
.</p>
</fn>
</author-notes>
<pub-date pub-type="epreprint">
<day>28</day>
<month>12</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>14</day>
<month>2</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<day>1</day>
<month>3</month>
<year>2017</year>
</pub-date>
<volume>91</volume>
<issue>5</issue>
<elocation-id>e02282-16</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>11</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2017 American Society for Microbiology.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>American Society for Microbiology</copyright-holder>
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<license-p>
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1128/ASMCopyrightv1">All Rights Reserved</ext-link>
.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="zjv005172396001.pdf"></self-uri>
<abstract>
<title>ABSTRACT</title>
<p>Influenza virus RNA-dependent RNA polymerase consists of three viral protein subunits: PA, PB1, and PB2. Protein-protein interactions (PPIs) of these subunits play pivotal roles in assembling the functional polymerase complex, which is essential for the replication and transcription of influenza virus RNA. Here we developed a highly specific and robust bimolecular luminescence complementation (BiLC) reporter system to facilitate the investigation of influenza virus polymerase complex formation. Furthermore, by combining computational modeling and the BiLC reporter assay, we identified several novel small-molecule compounds that selectively inhibited PB1-PB2 interaction. Function of one such lead compound was confirmed by its activity in suppressing influenza virus replication. In addition, our studies also revealed that PA plays a critical role in enhancing interactions between PB1 and PB2, which could be important in targeting sites for anti-influenza intervention. Collectively, these findings not only aid the development of novel inhibitors targeting the formation of influenza virus polymerase complex but also present a new tool to investigate the exquisite mechanism of PPIs. </p>
<p>
<bold>IMPORTANCE</bold>
Formation of the functional influenza virus polymerase involves complex protein-protein interactions (PPIs) of PA, PB1, and PB2 subunits. In this work, we developed a novel BiLC assay system which is sensitive and specific to quantify both strong and weak PPIs between influenza virus polymerase subunits. More importantly, by combining
<italic>in silico</italic>
modeling and our BiLC assay, we identified a small molecule that can suppress influenza virus replication by disrupting the polymerase assembly. Thus, we developed an innovative method to investigate PPIs of multisubunit complexes effectively and to identify new molecules inhibiting influenza virus polymerase assembly.</p>
</abstract>
<kwd-group>
<title>KEYWORDS</title>
<kwd>influenza virus polymerase</kwd>
<kwd>protein-protein interactions</kwd>
<kwd>BiLC</kwd>
<kwd>influenza inhibitor screening</kwd>
</kwd-group>
<funding-group>
<award-group id="award1">
<funding-source id="gs1">National Natural Science Foundation of China (NSFC)
<named-content content-type="funder-id">https://doi.org/10.13039/501100001809</named-content>
</funding-source>
<award-id rid="gs1">31170832</award-id>
<principal-award-recipient>Genhong Cheng</principal-award-recipient>
</award-group>
<award-group id="award2">
<funding-source id="gs2">National Natural Science Foundation of China (NSFC)
<named-content content-type="funder-id">https://doi.org/10.13039/501100001809</named-content>
</funding-source>
<award-id rid="gs2">31500145</award-id>
<principal-award-recipient>Chunfeng Li</principal-award-recipient>
</award-group>
<award-group id="award3">
<funding-source id="gs3">National Natural Science Foundation of China (NSFC)
<named-content content-type="funder-id">https://doi.org/10.13039/501100001809</named-content>
</funding-source>
<award-id rid="gs3">31401130</award-id>
<principal-award-recipient>Yang Cao</principal-award-recipient>
</award-group>
<award-group id="award4">
<funding-source id="gs4">Ministry of Science and Technology of the People's Republic of China (MOST)
<named-content content-type="funder-id">https://doi.org/10.13039/501100002855</named-content>
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