Protein target quantification decision tree.

International journal of proteomics Pub Date : 2013-01-01 Epub Date: 2013-01-15 DOI:10.1155/2013/701247
Jong Won Kim, Jinsam You
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引用次数: 11

Abstract

The utility of mass spectrometry-(MS-) based proteomic platforms and their clinical applications have become an emerging field in proteomics in recent years. Owing to its selectivity and sensitivity, MS has become a key technological platform in proteomic research. Using this platform, a large number of potential biomarker candidates for specific diseases have been reported. However, due to lack of validation, none has been approved for use in clinical settings by the Food and Drug Administration (FDA). Successful candidate verification and validation will facilitate the development of potential biomarkers, leading to better strategies for disease diagnostics, prognostics, and treatment. With the recent new developments in mass spectrometers, high sensitivity, high resolution, and high mass accuracy can be achieved. This greatly enhances the capabilities of protein biomarker validation. In this paper, we describe and discuss recent developments and applications of targeted proteomics methods for biomarker validation.

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蛋白质目标量化决策树。
基于质谱(MS)的蛋白质组学平台及其临床应用是近年来蛋白质组学研究的新兴领域。质谱由于其选择性和敏感性,已成为蛋白质组学研究的关键技术平台。利用这个平台,已经报道了大量潜在的特定疾病的生物标志物候选物。然而,由于缺乏验证,食品和药物管理局(FDA)尚未批准在临床环境中使用。成功的候选物验证和确认将促进潜在生物标志物的开发,从而为疾病诊断、预后和治疗提供更好的策略。随着近年来质谱仪的发展,高灵敏度、高分辨率和高质量精度已成为可能。这大大提高了蛋白质生物标志物验证的能力。在本文中,我们描述和讨论了生物标志物验证的靶向蛋白质组学方法的最新发展和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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