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目标?鄄诱饵库搜索策略在蛋白质组质谱鉴定和质控中的应用及研究进展
引用本文:冯晓东,马洁,常乘,白明泽,朱云平,舒坤贤. 目标?鄄诱饵库搜索策略在蛋白质组质谱鉴定和质控中的应用及研究进展[J]. 生物化学与生物物理进展, 2016, 43(7): 661-672
作者姓名:冯晓东  马洁  常乘  白明泽  朱云平  舒坤贤
作者单位:重庆邮电大学生物信息学研究所,重庆 400065;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,国家蛋白质科学中心(北京),北京 102206,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,国家蛋白质科学中心(北京),北京 102206,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,国家蛋白质科学中心(北京),北京 102206,重庆邮电大学生物信息学研究所,重庆 400065,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,国家蛋白质科学中心(北京),北京 102206,重庆邮电大学生物信息学研究所,重庆 400065
基金项目:国际合作计划(2014DFB30010)、国家重点基础研究发展计划(973)(2013CB910800), 国家自然科学基金(21475150, 21105121, 61501071)资助项目和重庆市研究生科研创新项目(CYS14154)资助
摘    要:基于串联质谱的蛋白质组研究会产生海量的质谱数据,这些数据通常使用数据库搜索引擎进行鉴定分析,并根据肽段谱图匹配(PSM)反推真实的样品蛋白质.对于高通量蛋白质组数据的处理,其鉴定结果的可信是后续分析应用的前提,因此对鉴定结果的质量控制尤为重要,而基于目标-诱饵库(target-decoy)搜索策略的质量控制是目前应用最为广泛的方法.本文首先介绍了基于目标-诱饵库搜索策略搜库和质量控制的实施流程,然后综述了基于目标-诱饵库搜索策略的质量控制工具,并提出了目标-诱饵库搜索策略的不足及改善方法,最后对目标-诱饵库搜索策略进行了总结与展望.

关 键 词:串联质谱,蛋白质鉴定,目标-诱饵,质量控制
收稿时间:2016-03-01
修稿时间:2016-04-27

The Application and Progress of Target-decoy Database Search Strategy in Identification and Quality Control of Tandem Mass Spectrometry Data in Shotgun Proteomics
FENG Xiao-Dong,MA Jie,CHANG Cheng,BAI Ming-Ze,ZHU Yun-Ping and SHU Kun-Xian. The Application and Progress of Target-decoy Database Search Strategy in Identification and Quality Control of Tandem Mass Spectrometry Data in Shotgun Proteomics[J]. Progress In Biochemistry and Biophysics, 2016, 43(7): 661-672
Authors:FENG Xiao-Dong  MA Jie  CHANG Cheng  BAI Ming-Ze  ZHU Yun-Ping  SHU Kun-Xian
Affiliation:Institute of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Institute of Radiation Medicine, Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing 102206, China,Institute of Radiation Medicine, Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing 102206, China,Institute of Radiation Medicine, Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing 102206, China,Institute of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing 400065, China,Institute of Radiation Medicine, Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing 102206, China and Institute of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Abstract:With the advance of mass spectrometry and experimental techniques, a huge amount of mass spectrometry (MS) data has been accumulated rapidly in the past few years. Usually, different database search engines are used to analyze the MS data for peptide and protein identification. Meanwhile, selection of all those assignments that are actually correct is one of the most daunting tasks in mass spectrometry based proteomics investigations. Target-decoy searching strategy has become one of the most popular strategies to control the fasle identification in MS/MS data analysis. In this paper, we first introduce the workflow of target-decoy database searching strategy. Then we summarize the quality control tools based on the target-decoy searching strategy. Besides, we point out the deficiency of target-decoy searching strategy and put forward mending measures. Finally, we carry on summary and outlook to target-decoy searching strategy.
Keywords:tandem mass spectrum   protein identification   target-decoy   quality control
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