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Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development

Major histocompatibility complex class 1 chain-related gene sequence A is a polymorphic gene found at about 46.6 kb centromeric to HLA-B. It encodes a transmembrane protein, which is a non-classical human leukocyte antigen whose expression is normally induced by stress conditions like cancer and vir...

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Autores principales: Adekiya, Tayo Alex, Aruleba, Raphael Taiwo, Khanyile, Sbonelo, Masamba, Priscilla, Oyinloye, Babatunji Emmanuel, Kappo, Abidemi Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874642/
https://www.ncbi.nlm.nih.gov/pubmed/29295563
http://dx.doi.org/10.3390/vaccines6010001
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author Adekiya, Tayo Alex
Aruleba, Raphael Taiwo
Khanyile, Sbonelo
Masamba, Priscilla
Oyinloye, Babatunji Emmanuel
Kappo, Abidemi Paul
author_facet Adekiya, Tayo Alex
Aruleba, Raphael Taiwo
Khanyile, Sbonelo
Masamba, Priscilla
Oyinloye, Babatunji Emmanuel
Kappo, Abidemi Paul
author_sort Adekiya, Tayo Alex
collection PubMed
description Major histocompatibility complex class 1 chain-related gene sequence A is a polymorphic gene found at about 46.6 kb centromeric to HLA-B. It encodes a transmembrane protein, which is a non-classical human leukocyte antigen whose expression is normally induced by stress conditions like cancer and viral infections. The expression of MIC-A leads to the activation of NKG2D receptors of natural killer and T cells, leading to the generation of innate immune response that can easily eliminate/cleanse tumour cells and other cells that express the protein. Several bioinformatics and immunoinformatics tools were used to analyse the sequence and structure of the MIC-A protein. These tools were used in building and evaluating modelled structure of MIC-A, and to predict several antigenic determinant sites on the protein. The MIC-A protein structure generated an average antigenic propensity of 1.0289. Additionally, the hydrophilic regions on the surface of the MIC-A protein where antibodies can be attached were revealed. A total of fourteen antigenic epitopes were predicted, with six found in the transmembrane protein topology, and are predicted to play a role in the development of vaccines that can reactivate the functionalities of the MIC-A protein on the surface of cancer cells in order to elicit a desired immune response.
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spelling pubmed-58746422018-04-02 Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development Adekiya, Tayo Alex Aruleba, Raphael Taiwo Khanyile, Sbonelo Masamba, Priscilla Oyinloye, Babatunji Emmanuel Kappo, Abidemi Paul Vaccines (Basel) Article Major histocompatibility complex class 1 chain-related gene sequence A is a polymorphic gene found at about 46.6 kb centromeric to HLA-B. It encodes a transmembrane protein, which is a non-classical human leukocyte antigen whose expression is normally induced by stress conditions like cancer and viral infections. The expression of MIC-A leads to the activation of NKG2D receptors of natural killer and T cells, leading to the generation of innate immune response that can easily eliminate/cleanse tumour cells and other cells that express the protein. Several bioinformatics and immunoinformatics tools were used to analyse the sequence and structure of the MIC-A protein. These tools were used in building and evaluating modelled structure of MIC-A, and to predict several antigenic determinant sites on the protein. The MIC-A protein structure generated an average antigenic propensity of 1.0289. Additionally, the hydrophilic regions on the surface of the MIC-A protein where antibodies can be attached were revealed. A total of fourteen antigenic epitopes were predicted, with six found in the transmembrane protein topology, and are predicted to play a role in the development of vaccines that can reactivate the functionalities of the MIC-A protein on the surface of cancer cells in order to elicit a desired immune response. MDPI 2017-12-25 /pmc/articles/PMC5874642/ /pubmed/29295563 http://dx.doi.org/10.3390/vaccines6010001 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Adekiya, Tayo Alex
Aruleba, Raphael Taiwo
Khanyile, Sbonelo
Masamba, Priscilla
Oyinloye, Babatunji Emmanuel
Kappo, Abidemi Paul
Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development
title Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development
title_full Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development
title_fullStr Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development
title_full_unstemmed Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development
title_short Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development
title_sort structural analysis and epitope prediction of mhc class-1-chain related protein-a for cancer vaccine development
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874642/
https://www.ncbi.nlm.nih.gov/pubmed/29295563
http://dx.doi.org/10.3390/vaccines6010001
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