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Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines
Expanding efforts to develop preventive gonorrhea vaccines is critical because of the serious health consequences combined with the prevalence and the dire possibility of untreatable gonorrhea. Reverse vaccinology, which includes genome and proteome mining, has proven successful in the discovery of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288298/ https://www.ncbi.nlm.nih.gov/pubmed/30564232 http://dx.doi.org/10.3389/fimmu.2018.02793 |
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author | Baarda, Benjamin I. Martinez, Fabian G. Sikora, Aleksandra E. |
author_facet | Baarda, Benjamin I. Martinez, Fabian G. Sikora, Aleksandra E. |
author_sort | Baarda, Benjamin I. |
collection | PubMed |
description | Expanding efforts to develop preventive gonorrhea vaccines is critical because of the serious health consequences combined with the prevalence and the dire possibility of untreatable gonorrhea. Reverse vaccinology, which includes genome and proteome mining, has proven successful in the discovery of vaccine candidates against many pathogenic bacteria. Here, we describe proteomic applications including comprehensive, quantitative proteomic platforms and immunoproteomics coupled with broad-ranging bioinformatics that have been applied for antigen mining to develop gonorrhea vaccine(s). We further focus on outlining the vaccine candidate decision tree, describe the structure-function of novel proteome-derived antigens as well as ways to gain insights into their roles in the cell envelope, and underscore new lessons learned about the fascinating biology of Neisseria gonorrhoeae. |
format | Online Article Text |
id | pubmed-6288298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62882982018-12-18 Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines Baarda, Benjamin I. Martinez, Fabian G. Sikora, Aleksandra E. Front Immunol Immunology Expanding efforts to develop preventive gonorrhea vaccines is critical because of the serious health consequences combined with the prevalence and the dire possibility of untreatable gonorrhea. Reverse vaccinology, which includes genome and proteome mining, has proven successful in the discovery of vaccine candidates against many pathogenic bacteria. Here, we describe proteomic applications including comprehensive, quantitative proteomic platforms and immunoproteomics coupled with broad-ranging bioinformatics that have been applied for antigen mining to develop gonorrhea vaccine(s). We further focus on outlining the vaccine candidate decision tree, describe the structure-function of novel proteome-derived antigens as well as ways to gain insights into their roles in the cell envelope, and underscore new lessons learned about the fascinating biology of Neisseria gonorrhoeae. Frontiers Media S.A. 2018-12-04 /pmc/articles/PMC6288298/ /pubmed/30564232 http://dx.doi.org/10.3389/fimmu.2018.02793 Text en Copyright © 2018 Baarda, Martinez and Sikora. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Baarda, Benjamin I. Martinez, Fabian G. Sikora, Aleksandra E. Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines |
title | Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines |
title_full | Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines |
title_fullStr | Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines |
title_full_unstemmed | Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines |
title_short | Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines |
title_sort | proteomics, bioinformatics and structure-function antigen mining for gonorrhea vaccines |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288298/ https://www.ncbi.nlm.nih.gov/pubmed/30564232 http://dx.doi.org/10.3389/fimmu.2018.02793 |
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