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Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease

Proteomic analysis is an attractive and powerful tool for characterizing the molecular profiles of diseased tissues, such as the vitreous. The complexity of data available for analysis ranges from single (e.g., enzyme-linked immunosorbent assay [ELISA]) to thousands (e.g., mass spectrometry) of prot...

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Autores principales: Velez, Gabriel, Tang, Peter H., Cabral, Thiago, Cho, Galaxy Y., Machlab, Daniel A., Tsang, Stephen H., Bassuk, Alexander G., Mahajan, Vinit B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6159735/
https://www.ncbi.nlm.nih.gov/pubmed/30271679
http://dx.doi.org/10.1167/tvst.7.5.12
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author Velez, Gabriel
Tang, Peter H.
Cabral, Thiago
Cho, Galaxy Y.
Machlab, Daniel A.
Tsang, Stephen H.
Bassuk, Alexander G.
Mahajan, Vinit B.
author_facet Velez, Gabriel
Tang, Peter H.
Cabral, Thiago
Cho, Galaxy Y.
Machlab, Daniel A.
Tsang, Stephen H.
Bassuk, Alexander G.
Mahajan, Vinit B.
author_sort Velez, Gabriel
collection PubMed
description Proteomic analysis is an attractive and powerful tool for characterizing the molecular profiles of diseased tissues, such as the vitreous. The complexity of data available for analysis ranges from single (e.g., enzyme-linked immunosorbent assay [ELISA]) to thousands (e.g., mass spectrometry) of proteins, and unlike genomic analysis, which is limited to denoting risk, proteomic methods take snapshots of a diseased vitreous to evaluate ongoing molecular processes in real time. The proteome of diseased ocular tissues was recently characterized, uncovering numerous biomarkers for vitreoretinal diseases and identifying protein targets for approved drugs, allowing for drug repositioning. These biomarkers merit more attention regarding their therapeutic potential and prospective validation, as well as their value as reproducible, sensitive, and specific diagnostic markers TRANSLATIONAL RELEVANCE: Personalized proteomics offers many advantages over alternative precision-health platforms for the diagnosis and treatment of vitreoretinal diseases, including identification of molecular constituents in the diseased tissue that can be targeted by available drugs.
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spelling pubmed-61597352018-09-28 Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease Velez, Gabriel Tang, Peter H. Cabral, Thiago Cho, Galaxy Y. Machlab, Daniel A. Tsang, Stephen H. Bassuk, Alexander G. Mahajan, Vinit B. Transl Vis Sci Technol Review Proteomic analysis is an attractive and powerful tool for characterizing the molecular profiles of diseased tissues, such as the vitreous. The complexity of data available for analysis ranges from single (e.g., enzyme-linked immunosorbent assay [ELISA]) to thousands (e.g., mass spectrometry) of proteins, and unlike genomic analysis, which is limited to denoting risk, proteomic methods take snapshots of a diseased vitreous to evaluate ongoing molecular processes in real time. The proteome of diseased ocular tissues was recently characterized, uncovering numerous biomarkers for vitreoretinal diseases and identifying protein targets for approved drugs, allowing for drug repositioning. These biomarkers merit more attention regarding their therapeutic potential and prospective validation, as well as their value as reproducible, sensitive, and specific diagnostic markers TRANSLATIONAL RELEVANCE: Personalized proteomics offers many advantages over alternative precision-health platforms for the diagnosis and treatment of vitreoretinal diseases, including identification of molecular constituents in the diseased tissue that can be targeted by available drugs. The Association for Research in Vision and Ophthalmology 2018-09-26 /pmc/articles/PMC6159735/ /pubmed/30271679 http://dx.doi.org/10.1167/tvst.7.5.12 Text en Copyright 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Review
Velez, Gabriel
Tang, Peter H.
Cabral, Thiago
Cho, Galaxy Y.
Machlab, Daniel A.
Tsang, Stephen H.
Bassuk, Alexander G.
Mahajan, Vinit B.
Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease
title Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease
title_full Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease
title_fullStr Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease
title_full_unstemmed Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease
title_short Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease
title_sort personalized proteomics for precision health: identifying biomarkers of vitreoretinal disease
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6159735/
https://www.ncbi.nlm.nih.gov/pubmed/30271679
http://dx.doi.org/10.1167/tvst.7.5.12
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