基于质谱的定量蛋白质组学策略和方法研究进展  

Strategies and Algorithms for Quantitative Proteomics based on Mass Spectrometry

作　　者：常乘[1,2] 朱云平[1,2] 

机构地区：[1]军事医学科学院放射与辐射医学研究所蛋白质药物国家工程研究中心北京蛋白质组研究中心蛋白质组学国家重点实验室,北京100850 [2]国家蛋白质科学中心(北京),北京102206

出　　处：《中国科学：生命科学》2015年第5期425-438,共14页Scientia Sinica(Vitae)

基　　金：国家重点基础研究发展计划(批准号:2011CB910601;2013CB910800);国际合作计划(批准号:2014DFB30010);国家高技术研究发展计划(批准号:2012AA020409;2012AA020201);国家自然科学基金(批准号:21475150;21105121)资助项目

摘　　要：定量蛋白质组学已经成为组学领域研究的热点之一.相关实验技术和计算方法的不断创新极大地促进了定量蛋白质组学的飞速发展.常用的定量蛋白质组学策略按照是否需要稳定同位素标记可以分为无标定量和有标定量两大类.每类策略又产生了众多定量方法和工具,它们一方面推动了定量蛋白质组学的深入发展;另一方面,也在实验策略与技术的发展过程中不断更新.因此对这些定量实验策略和方法进行系统总结和归纳将有助于定量蛋白质组学的研究.本文主要从方法学角度全面归纳了目前定量蛋白质组学研究的相关策略和算法,详述了无标定量和有标定量的具体算法流程并比较了各自特点,还对以研究蛋白质绝对丰度为目标的绝对定量算法进行了总结,列举了常用的定量软件和工具,最后概述了定量结果的质量控制方法,对定量蛋白质组学方法发展的前景进行了展望.Quantitative proteomics has been one of important areas in omics research. The continuous innovation of experiment strategies and computational algorithms prompts the rapid development of quantitative proteomics. The common quantitative strategies are label-free and stable isotope labeled quantification. There are many quantitative algorithms and tools for each kind of quantification strategy. On the one hand, these computational methods improve the further development of quantitative proteomics. On the other hand, they are being updated continuously with the improvement of the quantitative strategies. Therefore, it is necessary to summarize the advances of strategies and algorithms for quantitative proteomics. In this review, we systematically expatiate upon the characters of the label-free and labeled quantitative algorithms from the view of bioinformatics. Also, this review summarizes the development of absolute quantification methods and lists the common software tools for quantitative proteomics. The quality control methods of the quantification results are discussed as well.

关 键 词：质谱 定量蛋白质组学 定量算法 无标定量 有标定量 绝对定量 

分 类 号：Q51[生物学—生物化学]