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In silico design of influenza a virus artificial epitope-based T-cell antigens and the evaluation of their immunogenicity in mice. / Bazhan, Sergei I.; Antonets, Denis V.; Starostina, Ekaterina V. et al.

In: Journal of Biomolecular Structure and Dynamics, Vol. 40, No. 7, 2022, p. 3196-3212.

Research output: Contribution to journalArticlepeer-review

Harvard

Bazhan, SI, Antonets, DV, Starostina, EV, Ilyicheva, TN, Kaplina, ON, Marchenko, VY, Volkova, OY, Bakulina, AY & Karpenko, LI 2022, 'In silico design of influenza a virus artificial epitope-based T-cell antigens and the evaluation of their immunogenicity in mice', Journal of Biomolecular Structure and Dynamics, vol. 40, no. 7, pp. 3196-3212. https://doi.org/10.1080/07391102.2020.1845978

APA

Bazhan, S. I., Antonets, D. V., Starostina, E. V., Ilyicheva, T. N., Kaplina, O. N., Marchenko, V. Y., Volkova, O. Y., Bakulina, A. Y., & Karpenko, L. I. (2022). In silico design of influenza a virus artificial epitope-based T-cell antigens and the evaluation of their immunogenicity in mice. Journal of Biomolecular Structure and Dynamics, 40(7), 3196-3212. https://doi.org/10.1080/07391102.2020.1845978

Vancouver

Bazhan SI, Antonets DV, Starostina EV, Ilyicheva TN, Kaplina ON, Marchenko VY et al. In silico design of influenza a virus artificial epitope-based T-cell antigens and the evaluation of their immunogenicity in mice. Journal of Biomolecular Structure and Dynamics. 2022;40(7):3196-3212. doi: 10.1080/07391102.2020.1845978

Author

Bazhan, Sergei I. ; Antonets, Denis V. ; Starostina, Ekaterina V. et al. / In silico design of influenza a virus artificial epitope-based T-cell antigens and the evaluation of their immunogenicity in mice. In: Journal of Biomolecular Structure and Dynamics. 2022 ; Vol. 40, No. 7. pp. 3196-3212.

BibTeX

@article{73fd4e314789404085225e9f68ad20d4,
title = "In silico design of influenza a virus artificial epitope-based T-cell antigens and the evaluation of their immunogenicity in mice",
abstract = "The polyepitope strategy is promising approach for successfully creating a broadly protective flu vaccine, which targets T-lymphocytes (both CD4+ and CD8+) to recognise the most conserved epitopes of viral proteins. In this study, we employed a computer-aided approach to develop several artificial antigens potentially capable of evoking immune responses to different virus subtypes. These antigens included conservative T-cell epitopes of different influenza A virus proteins. To design epitope-based antigens we used experimentally verified information regarding influenza virus T-cell epitopes from the Immune Epitope Database (IEDB) (http://www.iedb.org). We constructed two “human” and two “murine” variants of polyepitope antigens. Amino acid sequences of target polyepitope antigens were designed using our original TEpredict/PolyCTLDesigner software. Immunogenic and protective features of DNA constructs encoding “murine” target T-cell immunogens were studied in BALB/c mice. We showed that mice groups immunised with a combination of computer-generated “murine” DNA immunogens had a 37.5% survival rate after receiving a lethal dose of either A/California/4/2009 (H1N1) virus or A/Aichi/2/68 (H3N2) virus, while immunisation with live flu H1N1 and H3N2 vaccine strains provided protection against homologous viruses and failed to protect against heterologous viruses. These results demonstrate that mechanisms of cross-protective immunity may be associated with the stimulation of specific T-cell responses. This study demonstrates that our computer-aided approach may be successfully used for rational designing artificial polyepitope antigens capable of inducing virus-specific T-lymphocyte responses and providing partial protection against two different influenza virus subtypes. Communicated by Ramaswamy H. Sarma.",
keywords = "DNA vaccine, immunogenicity, In silico design, influenza virus, T-cell epitope-based antigens, IMMUNITY, PEPTIDE BINDING, MOTIF, PROTECTIVE EFFICACY, PREDICTION, MHC CLASS-I, NANOPARTICLES, DNA VACCINES, FLANKING REGION, RATIONAL DESIGN",
author = "Bazhan, {Sergei I.} and Antonets, {Denis V.} and Starostina, {Ekaterina V.} and Ilyicheva, {Tatyana N.} and Kaplina, {Olga N.} and Marchenko, {Vasiliy Yu} and Volkova, {Olga Yu} and Bakulina, {Anastasiya Yu} and Karpenko, {Larisa I.}",
note = "Funding Information: The study was funded by the Russian Science Foundation Grant [15-15-00047] and partly by the state assignment of FBRI SRC VB ?Vector?, Rospotrebnadzor Publisher Copyright: {\textcopyright} 2020 Informa UK Limited, trading as Taylor & Francis Group.",
year = "2022",
doi = "10.1080/07391102.2020.1845978",
language = "English",
volume = "40",
pages = "3196--3212",
journal = "Journal of Biomolecular Structure and Dynamics",
issn = "0739-1102",
publisher = "Taylor and Francis Ltd.",
number = "7",

}

RIS

TY - JOUR

T1 - In silico design of influenza a virus artificial epitope-based T-cell antigens and the evaluation of their immunogenicity in mice

AU - Bazhan, Sergei I.

AU - Antonets, Denis V.

AU - Starostina, Ekaterina V.

AU - Ilyicheva, Tatyana N.

AU - Kaplina, Olga N.

AU - Marchenko, Vasiliy Yu

AU - Volkova, Olga Yu

AU - Bakulina, Anastasiya Yu

AU - Karpenko, Larisa I.

N1 - Funding Information: The study was funded by the Russian Science Foundation Grant [15-15-00047] and partly by the state assignment of FBRI SRC VB ?Vector?, Rospotrebnadzor Publisher Copyright: © 2020 Informa UK Limited, trading as Taylor & Francis Group.

PY - 2022

Y1 - 2022

N2 - The polyepitope strategy is promising approach for successfully creating a broadly protective flu vaccine, which targets T-lymphocytes (both CD4+ and CD8+) to recognise the most conserved epitopes of viral proteins. In this study, we employed a computer-aided approach to develop several artificial antigens potentially capable of evoking immune responses to different virus subtypes. These antigens included conservative T-cell epitopes of different influenza A virus proteins. To design epitope-based antigens we used experimentally verified information regarding influenza virus T-cell epitopes from the Immune Epitope Database (IEDB) (http://www.iedb.org). We constructed two “human” and two “murine” variants of polyepitope antigens. Amino acid sequences of target polyepitope antigens were designed using our original TEpredict/PolyCTLDesigner software. Immunogenic and protective features of DNA constructs encoding “murine” target T-cell immunogens were studied in BALB/c mice. We showed that mice groups immunised with a combination of computer-generated “murine” DNA immunogens had a 37.5% survival rate after receiving a lethal dose of either A/California/4/2009 (H1N1) virus or A/Aichi/2/68 (H3N2) virus, while immunisation with live flu H1N1 and H3N2 vaccine strains provided protection against homologous viruses and failed to protect against heterologous viruses. These results demonstrate that mechanisms of cross-protective immunity may be associated with the stimulation of specific T-cell responses. This study demonstrates that our computer-aided approach may be successfully used for rational designing artificial polyepitope antigens capable of inducing virus-specific T-lymphocyte responses and providing partial protection against two different influenza virus subtypes. Communicated by Ramaswamy H. Sarma.

AB - The polyepitope strategy is promising approach for successfully creating a broadly protective flu vaccine, which targets T-lymphocytes (both CD4+ and CD8+) to recognise the most conserved epitopes of viral proteins. In this study, we employed a computer-aided approach to develop several artificial antigens potentially capable of evoking immune responses to different virus subtypes. These antigens included conservative T-cell epitopes of different influenza A virus proteins. To design epitope-based antigens we used experimentally verified information regarding influenza virus T-cell epitopes from the Immune Epitope Database (IEDB) (http://www.iedb.org). We constructed two “human” and two “murine” variants of polyepitope antigens. Amino acid sequences of target polyepitope antigens were designed using our original TEpredict/PolyCTLDesigner software. Immunogenic and protective features of DNA constructs encoding “murine” target T-cell immunogens were studied in BALB/c mice. We showed that mice groups immunised with a combination of computer-generated “murine” DNA immunogens had a 37.5% survival rate after receiving a lethal dose of either A/California/4/2009 (H1N1) virus or A/Aichi/2/68 (H3N2) virus, while immunisation with live flu H1N1 and H3N2 vaccine strains provided protection against homologous viruses and failed to protect against heterologous viruses. These results demonstrate that mechanisms of cross-protective immunity may be associated with the stimulation of specific T-cell responses. This study demonstrates that our computer-aided approach may be successfully used for rational designing artificial polyepitope antigens capable of inducing virus-specific T-lymphocyte responses and providing partial protection against two different influenza virus subtypes. Communicated by Ramaswamy H. Sarma.

KW - DNA vaccine

KW - immunogenicity

KW - In silico design

KW - influenza virus

KW - T-cell epitope-based antigens

KW - IMMUNITY

KW - PEPTIDE BINDING

KW - MOTIF

KW - PROTECTIVE EFFICACY

KW - PREDICTION

KW - MHC CLASS-I

KW - NANOPARTICLES

KW - DNA VACCINES

KW - FLANKING REGION

KW - RATIONAL DESIGN

UR - http://www.scopus.com/inward/record.url?scp=85096573337&partnerID=8YFLogxK

U2 - 10.1080/07391102.2020.1845978

DO - 10.1080/07391102.2020.1845978

M3 - Article

C2 - 33222632

AN - SCOPUS:85096573337

VL - 40

SP - 3196

EP - 3212

JO - Journal of Biomolecular Structure and Dynamics

JF - Journal of Biomolecular Structure and Dynamics

SN - 0739-1102

IS - 7

ER -

ID: 26136551