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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5874642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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