Trends in proteomic analysis of human vitreous humor samples

Proteomic analysis of human vitreous humor (VH) may elucidate the pathogenesis of retinal ocular diseases and may provide information for the development of potential therapeutic targets due to its pivotal location near lens and retina. The discovery of whole VH proteome involves a complex analysis...

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Published inElectrophoresis Vol. 35; no. 17; pp. 2495 - 2508
Main Authors Rocha, Ana S., Santos, Fátima M., Monteiro, João P., Castro-de-Sousa, João P., Queiroz, João A., Tomaz, Cândida T., Passarinha, Luís A.
Format Journal Article
LanguageEnglish
Published Germany Blackwell Publishing Ltd 01.09.2014
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Summary:Proteomic analysis of human vitreous humor (VH) may elucidate the pathogenesis of retinal ocular diseases and may provide information for the development of potential therapeutic targets due to its pivotal location near lens and retina. The discovery of whole VH proteome involves a complex analysis of thousands of proteins simultaneously. Therefore, in proteomic studies the protein fractionation is important for reducing sample complexity, facilitating the access to the low‐abundant proteins, and recognizing them as biotargets for clinical research. Although several separation methods have been used, gel‐based proteomics are the most popular and versatile ones applied for global protein separation. However, chromatographic methods and its combination with other separation techniques are now beginning to be used as promising set‐ups for VH protein identification. This review attempts to offer an overview of the techniques currently used with VH, exploring its methodological demands, exposing its advantages, and helping the reader to plan future experiences. Moreover, this review shows the relevance of VH proteomic analysis as a tool for the study of the mechanisms underlying some ocular diseases and for the development of new therapeutic approaches.
Bibliography:ICI and Santander Totta - No. CENTRO-07-ST24-FEDER-002014; No. CENTRO-07-ST24-FEDER-002015
University of Beira Interior - Health Sciences Research Centre (CICS)
Bruno Bacher - No. Pest-C/SAU/UI0709/2011
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ark:/67375/WNG-Q5V6JMJZ-0
ArticleID:ELPS5152
These authors have contributed equally to this work.
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ISSN:0173-0835
1522-2683
DOI:10.1002/elps.201400049