Mass spectrometry for translational proteomics: progress and clinical implications.

Mass spectrometry for translational proteomics: progress and clinical implications.
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DOI:
10.1186/gm364
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发表时间:
2012
期刊:
影响因子:
12.3
通讯作者:
Smith RD
Smith RD
中科院分区:
生物学1区
文献类型:
--
作者:
Baker ES;Liu T;Petyuk VA;Burnum-Johnson KE;Ibrahim YM;Anderson GA;Smith RD

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基于质谱仪(MS)的蛋白质组学分析因其高灵敏度、高特异度和高通量,在过去的十年中越来越受到人们的重视。基于MS的蛋白质组学测量已被用于广泛的生物和生物医学研究,包括分析细胞反应和疾病特异性的翻译后修饰。这些研究极大地提高了我们对蛋白质组在生物学和疾病中的复杂和动态性质的理解。一些MS技术,例如那些用于靶向分析的技术,正在被成功地应用于生物标记物的验证,而其他一些技术,包括全球定量分析(例如,用于生物标记物的发现),则更具挑战性,需要进一步发展。然而,最近在样品处理、仪器平台、数据采集方法和信息学能力方面的技术进步继续推进基于MS的应用程序。通过这些进展改进对蛋白质显著变化的检测显示出发现改进的生物标记物候选的巨大希望,这些候选生物标记物可以在临床前使用靶向测量进行验证,并最终用于临床研究-例如,用于早期疾病诊断或作为药物开发和治疗干预的靶标。在这里,我们综述了基于MS的蛋白质组学的现状,包括它的优点和目前的局限性,并着重介绍了它在蛋白质生物标记物研究中的翻译应用。
The utility of mass spectrometry (MS)-based proteomic analyses and their clinical applications have been increasingly recognized over the past decade due to their high sensitivity, specificity and throughput. MS-based proteomic measurements have been used in a wide range of biological and biomedical investigations, including analysis of cellular responses and disease-specific post-translational modifications. These studies greatly enhance our understanding of the complex and dynamic nature of the proteome in biology and disease. Some MS techniques, such as those for targeted analysis, are being successfully applied for biomarker verification, whereas others, including global quantitative analysis (for example, for biomarker discovery), are more challenging and require further development. However, recent technological improvements in sample processing, instrumental platforms, data acquisition approaches and informatics capabilities continue to advance MS-based applications. Improving the detection of significant changes in proteins through these advances shows great promise for the discovery of improved biomarker candidates that can be verified pre-clinically using targeted measurements, and ultimately used in clinical studies - for example, for early disease diagnosis or as targets for drug development and therapeutic intervention. Here, we review the current state of MS-based proteomics with regard to its advantages and current limitations, and we highlight its translational applications in studies of protein biomarkers.
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