Evidence map›Paper›PMID 29505618›Full record

ArticlePLoS pathogens2018

A protein coevolution method uncovers critical features of the Hepatitis C Virus fusion mechanism.

Florian Douam, Floriane Fusil, Margot Enguehard, Linda Dib, Francesca Nadalin, Loïc Schwaller, Gabriela Hrebikova, Jimmy Mancip, Laurent Mailly, Roland Montserret and 10 more

Abstract read
In one paragraph

Article in PLoS pathogens, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  17. Simultaneous Bayesian inference of phylogeny and molecular coevolution.Proceedings of the National Academy of Sciences of the United States of America · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Florian DouamCIRI-International Center for Infectiology Research, Team EVIR, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, Univ Lyon, Lyon, France.
Floriane FusilCIRI-International Center for Infectiology Research, Team EVIR, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, Univ Lyon, Lyon, France.
Margot EnguehardCNRS UMR5557 Microbial ecology, Université Claude Bernard Lyon 1, INRA, UMR1418, Villeurbanne, France.
Linda DibMolecular Phylogenetics and Speciation, Département d'écologie et évolution, Université de Lausanne, Lausanne, Suisse.
Francesca NadalinSorbonne Université, CNRS, IBPS, UMR 7238, Laboratoire de Biologie Computationnelle et Quantitative, Paris, France.
Loïc SchwallerMathematical Institute, Leiden University, Leiden, The Netherlands.ORCID 0000-0002-0245-1396
Gabriela HrebikovaDepartment of Molecular Biology, Princeton University, Princeton NJ, United States of America.ORCID 0000-0001-8551-8228
Jimmy MancipCIRI-International Center for Infectiology Research, Team EVIR, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, Univ Lyon, Lyon, France.
Laurent MaillyInserm, U1110, Institut de Recherche sur les Maladies Virales et Hépatiques, Strasbourg, France.
Roland MontserretInstitut de Biologie et Chimie des Protéines, Bases Moléculaires et Structurales des Systèmes Infectieux, Labex Ecofect, UMR 5086 CNRS, Université de Lyon, Lyon, France.
Qiang DingDepartment of Molecular Biology, Princeton University, Princeton NJ, United States of America.
Carine MaisseUniversity of Lyon, Université Claude Bernard Lyon1, INRA, EPHE, IVPC, Viral Infections and Comparative Pathology, UMR754, Lyon, France.ORCID 0000-0003-2848-1638
Emilie CarlotCAS Key Laboratory of Molecular Virology and Immunology, Unit of interspecies transmission of arboviruses and antivirals, Institut Pasteur of Shanghai, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0003-0573-4110
Ke XuCAS Key Laboratory of Molecular Virology and Immunology, Unit of interspecies transmission of arboviruses and antivirals, Institut Pasteur of Shanghai, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0002-9969-3681
Els VerhoeyenCIRI-International Center for Infectiology Research, Team EVIR, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, Univ Lyon, Lyon, France.
Thomas F BaumertInstitut Hospitalo-Universitaire, Pôle Hépato-digestif, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Alexander PlossDepartment of Molecular Biology, Princeton University, Princeton NJ, United States of America.
Alessandra CarboneSorbonne Université, CNRS, IBPS, UMR 7238, Laboratoire de Biologie Computationnelle et Quantitative, Paris, France.
François-Loïc CossetCIRI-International Center for Infectiology Research, Team EVIR, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, Univ Lyon, Lyon, France.ORCID 0000-0001-8842-3726
Dimitri LavilletteCIRI-International Center for Infectiology Research, Team EVIR, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, Univ Lyon, Lyon, France.ORCID 0000-0002-4706-1519

Funding

Understanding human neutralizing antibodies to hepatitis C virusR01AI079031 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI LAW, MANSUN · 2008 to 2017
$4.6M
NIAID NIH HHS R01 AI079031NIH HHS R01 AI079031
6 · The paper itself

Abstract

Amino-acid coevolution can be referred to mutational compensatory patterns preserving the function of a protein. Viral envelope glycoproteins, which mediate entry of enveloped viruses into their host cells, are shaped by coevolution signals that confer to viruses the plasticity to evade neutralizing antibodies without altering viral entry mechanisms. The functions and structures of the two envelope glycoproteins of the Hepatitis C Virus (HCV), E1 and E2, are poorly described. Especially, how these two proteins mediate the HCV fusion process between the viral and the cell membrane remains elusive. Here, as a proof of concept, we aimed to take advantage of an original coevolution method recently developed to shed light on the HCV fusion mechanism. When first applied to the well-characterized Dengue Virus (DENV) envelope glycoproteins, coevolution analysis was able to predict important structural features and rearrangements of these viral protein complexes. When applied to HCV E1E2, computational coevolution analysis predicted that E1 and E2 refold interdependently during fusion through rearrangements of the E2 Back Layer (BL). Consistently, a soluble BL-derived polypeptide inhibited HCV infection of hepatoma cell lines, primary human hepatocytes and humanized liver mice. We showed that this polypeptide specifically inhibited HCV fusogenic rearrangements, hence supporting the critical role of this domain during HCV fusion. By combining coevolution analysis and in vitro assays, we also uncovered functionally-significant coevolving signals between E1 and E2 BL/Stem regions that govern HCV fusion, demonstrating the accuracy of our coevolution predictions. Altogether, our work shed light on important structural features of the HCV fusion mechanism and contributes to advance our functional understanding of this process. This study also provides an important proof of concept that coevolution can be employed to explore viral protein mediated-processes, and can guide the development of innovative translational strategies against challenging human-tropic viruses.

Indexed as

Evolution, MolecularVirus InternalizationAnimalsCarcinoma, HepatocellularHepacivirusHepatitis CHumansLiver NeoplasmsMiceMice, Inbred C57BLProtein BindingTumor Cells, CulturedViral Envelope ProteinsVirus ReplicationE1 protein, Hepatitis C virusglycoprotein E2, Hepatitis C virusViral Envelope Proteins

Identifiers

PMID29505618
PMCPMC5854445

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.