Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Baarda, Benjamin I., Martinez, Fabian G., Sikora, Aleksandra E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
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
_version_ 1783379770998784000
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
work_keys_str_mv AT baardabenjamini proteomicsbioinformaticsandstructurefunctionantigenminingforgonorrheavaccines
AT martinezfabiang proteomicsbioinformaticsandstructurefunctionantigenminingforgonorrheavaccines
AT sikoraaleksandrae proteomicsbioinformaticsandstructurefunctionantigenminingforgonorrheavaccines