Literature DB >> 21513985

Structural in silico analysis of cross-genotype-reactivity among naturally occurring HCV NS3-1073-variants in the context of HLA-A*02:01 allele.

Dinler A Antunes1, Maurício M Rigo, Jader P Silva, Samuel P Cibulski, Marialva Sinigaglia, José A B Chies, Gustavo F Vieira.   

Abstract

Cellular immune response plays a central role in outcome of Hepatitis C Virus (HCV) infection. While specific T-cell responses are related to viral clearance, impaired responses can lead to chronic infection, turning HCV variability into a major obstacle for vaccine development. In a recent work, Fytili et al. (2008) studied the cross reactive potential of HCV specific CD8+ T-cells and observed a large variation in immunogenicity among 28 naturally occurring NS3(1073) variants. In this work, we intend to evaluate this immunogenic variation at molecular level, through bioinformatics approaches. The D1-EM-D2 strategy was used to build in silico MHC:peptide complexes (pMHC) of these HCV-derived peptides in the context of HLA-A*02:01 allele. The TCR-interacting surface of these complexes were evaluated using the GRASP2 program. Structural analysis indicated a sharing of topological and electrostatic features among complexes that induced strong response in vitro. Besides, complexes that induced low response presented an important positively charged spot in the center of TCR-interacting area. This spot was seen even in complexes with conservative amino acid changes and is consistent with the impairment of recognition by wild-type-specific T-cells, observed in vitro. Furthermore, the most remarkable difference in electrostatic potential was seen precisely in the only complex unable to induce in vitro stimulation. All these observations were confirmed by Principal Component Analysis (PCA) and this approach was also applied to a set of 45 non-related immunogenic viral epitopes, indicating possible new targets for cross-reactivity studies. Our results suggest structural in silico analysis of pMHC complexes as a reliable tool for vaccine development, affording to predict the impact of viral escape mutations and selection of epitopes with potential to induce cross-reactive immune responses.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21513985     DOI: 10.1016/j.molimm.2011.03.019

Source DB:  PubMed          Journal:  Mol Immunol        ISSN: 0161-5890            Impact factor:   4.407


  11 in total

1.  Frequency, Private Specificity, and Cross-Reactivity of Preexisting Hepatitis C Virus (HCV)-Specific CD8+ T Cells in HCV-Seronegative Individuals: Implications for Vaccine Responses.

Authors:  Shihong Zhang; Rakesh K Bakshi; Pothakamuri Venkata Suneetha; Paraskevi Fytili; Dinler A Antunes; Gustavo F Vieira; Roland Jacobs; Christoph S Klade; Michael P Manns; Anke R M Kraft; Heiner Wedemeyer; Verena Schlaphoff; Markus Cornberg
Journal:  J Virol       Date:  2015-06-03       Impact factor: 5.103

Review 2.  Vaccination and heterologous immunity: educating the immune system.

Authors:  Anna Gil; Laurie L Kenney; Rabinarayan Mishra; Levi B Watkin; Nuray Aslan; Liisa K Selin
Journal:  Trans R Soc Trop Med Hyg       Date:  2015-01       Impact factor: 2.184

3.  Increased Immune Response Variability during Simultaneous Viral Coinfection Leads to Unpredictability in CD8 T Cell Immunity and Pathogenesis.

Authors:  Laurie L Kenney; Markus Cornberg; Alex T Chen; Sebastien Emonet; Juan Carlos de la Torre; Liisa K Selin
Journal:  J Virol       Date:  2015-08-12       Impact factor: 5.103

4.  Interpreting T-Cell Cross-reactivity through Structure: Implications for TCR-Based Cancer Immunotherapy.

Authors:  Dinler A Antunes; Maurício M Rigo; Martiela V Freitas; Marcus F A Mendes; Marialva Sinigaglia; Gregory Lizée; Lydia E Kavraki; Liisa K Selin; Markus Cornberg; Gustavo F Vieira
Journal:  Front Immunol       Date:  2017-10-04       Impact factor: 7.561

5.  General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept.

Authors:  Dinler A Antunes; Didier Devaurs; Mark Moll; Gregory Lizée; Lydia E Kavraki
Journal:  Sci Rep       Date:  2018-03-12       Impact factor: 4.379

6.  pMHC Structural Comparisons as a Pivotal Element to Detect and Validate T-Cell Targets for Vaccine Development and Immunotherapy-A New Methodological Proposal.

Authors:  Priscila Vianna; Marcus F A Mendes; Marcelo A Bragatte; Priscila S Ferreira; Francisco M Salzano; Martin H Bonamino; Gustavo F Vieira
Journal:  Cells       Date:  2019-11-22       Impact factor: 6.600

7.  Charge-based interactions through peptide position 4 drive diversity of antigen presentation by human leukocyte antigen class I molecules.

Authors:  Kyle R Jackson; Dinler A Antunes; Amjad H Talukder; Ariana R Maleki; Kano Amagai; Avery Salmon; Arjun S Katailiha; Yulun Chiu; Romanos Fasoulis; Maurício Menegatti Rigo; Jayvee R Abella; Brenda D Melendez; Fenge Li; Yimo Sun; Heather M Sonnemann; Vladislav Belousov; Felix Frenkel; Sune Justesen; Aman Makaju; Yang Liu; David Horn; Daniel Lopez-Ferrer; Andreas F Huhmer; Patrick Hwu; Jason Roszik; David Hawke; Lydia E Kavraki; Gregory Lizée
Journal:  PNAS Nexus       Date:  2022-07-27

8.  CrossTope: a curate repository of 3D structures of immunogenic peptide: MHC complexes.

Authors:  Marialva Sinigaglia; Dinler Amaral Antunes; Maurício Menegatti Rigo; José Artur Bogo Chies; Gustavo Fioravanti Vieira
Journal:  Database (Oxford)       Date:  2013-02-08       Impact factor: 3.451

9.  DockTope: a Web-based tool for automated pMHC-I modelling.

Authors:  Maurício Menegatti Rigo; Dinler Amaral Antunes; Martiela Vaz de Freitas; Marcus Fabiano de Almeida Mendes; Lindolfo Meira; Marialva Sinigaglia; Gustavo Fioravanti Vieira
Journal:  Sci Rep       Date:  2015-12-17       Impact factor: 4.379

Review 10.  Virus-Induced T Cell-Mediated Heterologous Immunity and Vaccine Development.

Authors:  Kathrin Balz; Lilith Trassl; Valerie Härtel; Philipp P Nelson; Chrysanthi Skevaki
Journal:  Front Immunol       Date:  2020-03-31       Impact factor: 7.561

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