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选择性反应监测技术在蛋白质组学研究中的进展及应用 被引量:2

Advances and applications of selective reaction monitoring technology in proteomics study
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摘要 选择性反应监测(SRM)技术作为一种重要的定向蛋白质分析技术,通过选择性检测特定母离子和子离子来排除非目标组分的干扰,增强了检测灵敏度和定量准确度,具有选择性高、重复性好、灵敏度高、动态范围宽等优点,已被广泛应用于定量蛋白质组学研究,在生命科学领域发挥着至关重要的作用。本文从分析通量、检测灵敏度、定量方法以及相关软件资源4个方面,对近期SRM技术的研究进展进行了综述。然后,对SRM技术在蛋白质组学研究包括生物标志物验证、蛋白质翻译后修饰研究、生物工程以及信号通路分析等领域中的应用进行了概述。最后,本文对SRM技术的应用以及发展前景进行了展望。 As an important technology for targeted protein analysis,selective reaction monito-ring technology(SRM)improves the detection sensitivity and quantification accuracy by elimi-nating the interference of impurities and co-eluting peptides by selective detection of specific mother ions and daughter ions. It has been widely applied to the quantitative proteomics study due to the advantages of high selectivity,excellent reproducibility,high sensitivity and wide dynamic range and plays an important role in the area of life science. For the quantitative analy-sis of the complex samples with wide dynamic range,the throughput of analysis and detection sensitivity still need to be improved. Moreover,various quantification strategies have been pro-posed to improve the accuracy and precision of quantification. Furthermore,data processing becomes more and more important with the application of SRM technology to the analysis of complex samples. In this work,the recent development of SRM technology is reviewed from the above mentioned aspects. Since SRM technology gains wider applications along with the technological development,its applications in the area of proteomics quantitative study inclu-ding biomarker validation,post-translational proteomics study( phosphorylation,glycosation, acetylation and so on),biotechnology and signaling pathway analysis are briefly described. Finally,the future developments,applications and outlook of SRM technology are described.
出处 《色谱》 CAS CSCD 北大核心 2014年第4期330-335,共6页 Chinese Journal of Chromatography
基金 国家重大科学计划“蛋白质定量新方法及相关技术研究”项目(2012CB910604)
关键词 选择性反应监测 蛋白质组 定量 综述 selective reaction monitoring(SRM) proteomics quantification review
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参考文献36

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