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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2018
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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. |
format | Online Article Text |
id | pubmed-6159735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
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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