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规模化蛋白质鉴定中母离子的准确检测技术研究
引用本文:袁作飞,邬龙,刘超,迟浩,樊盛博,张昆,曾文锋,孙瑞祥,贺思敏.规模化蛋白质鉴定中母离子的准确检测技术研究[J].生物化学与生物物理进展,2013,40(1):80-92.
作者姓名:袁作飞  邬龙  刘超  迟浩  樊盛博  张昆  曾文锋  孙瑞祥  贺思敏
作者单位:中国科学院计算技术研究所,智能信息处理重点实验室,北京 100190;中国科学院大学,北京 100049,中国科学院计算技术研究所,智能信息处理重点实验室,北京 100190;中国科学院大学,北京 100049,中国科学院计算技术研究所,智能信息处理重点实验室,北京 100190;中国科学院大学,北京 100049,中国科学院计算技术研究所,智能信息处理重点实验室,北京 100190;中国科学院大学,北京 100049,中国科学院计算技术研究所,智能信息处理重点实验室,北京 100190;中国科学院大学,北京 100049,中国科学院计算技术研究所,智能信息处理重点实验室,北京 100190;中国科学院大学,北京 100049,中国科学院计算技术研究所,智能信息处理重点实验室,北京 100190;中国科学院大学,北京 100049,中国科学院计算技术研究所,智能信息处理重点实验室,北京 100190,中国科学院计算技术研究所,智能信息处理重点实验室,北京 100190
基金项目:国家重点基础研究发展计划(973)(2010CB912701, 2012CB910602), 中国科学院知识创新计划(KGGX1-YW-13), 国家自然科学基金(30900262)和国家高技术研究发展计划(863)(2007AA02Z315, 2008AA02Z309)资助项目
摘    要:蛋白质组学的基础研究之一是蛋白质鉴定.规模化的蛋白质鉴定通常采用"鸟枪法",即选择一些酶切肽段(母离子)碎裂生成二级谱图,通过二级谱图及其母离子质量鉴定肽段,再推断对应的蛋白质.在鉴定过程中,母离子质量是一个关键参数.母离子是否是肽段的单同位素峰决定了正确肽段是否能进入候选,母离子的质量精度决定了候选肽段的数目.本文从判断单同位素峰和系统误差校准这两个角度研究了母离子的准确检测技术.判断单同位素峰的技术在蛋白质上已有研究,包括电荷判断、单同位素峰判断和重叠同位素峰判断.可以借鉴蛋白质水平的技术研究母离子的单同位素峰判断方法.同时母离子的系统误差校准也有较为成熟的方法.这两个角度的研究有助于提高规模化蛋白质的鉴定率.

关 键 词:蛋白质组学  蛋白质鉴定  母离子  单同位素峰  系统误差
收稿时间:4/1/2012 12:00:00 AM
修稿时间:5/17/2012 3:25:28 PM

Accurate Determination of Precursor Ions for Peptides in Large-scale Protein Identification
YUAN Zuo-Fei,WU Long,LIU Chao,CHI Hao,FAN Sheng-Bo,ZHANG Kun,ZENG Wen-Feng,SUN Rui-Xiang and HE Si-Min.Accurate Determination of Precursor Ions for Peptides in Large-scale Protein Identification[J].Progress In Biochemistry and Biophysics,2013,40(1):80-92.
Authors:YUAN Zuo-Fei  WU Long  LIU Chao  CHI Hao  FAN Sheng-Bo  ZHANG Kun  ZENG Wen-Feng  SUN Rui-Xiang and HE Si-Min
Institution:Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,The Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,The Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,The Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,The Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,The Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,The Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,The Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,The Chinese Academy of Sciences, Beijing 100190, China and Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,The Chinese Academy of Sciences, Beijing 100190, China
Abstract:One basic research for proteomics is protein identification. For large-scale protein identification, shotgun techniques are usually applied, i.e., some digested peptides (precursor ions) are chosen to fragment and produce tandem mass spectra, which can be identified by database search, and then proteins can be inferred from the identified peptides. In the identification, precursor mass is a key parameter. Whether the correct peptide is within the peptide candidates depends on whether the precursor mass is the monoisotopic mass. The number of peptide candidates depends on the accuracy of the precursor mass. This research investigates the accurate determination of precursors in terms of monoisotopic peak determination and systematic error elimination. There are some techniques of monoisotopic peak determination on protein level, including charge state determination, monoisotopic peak determination and overlapping cluster determination. Some of them can be used to the monoisotopic peak determination of precursors. Meanwhile, there are some well-known methods for systematic error elimination. The two kinds of techniques for accurate precursor determination can help increase the large-scale protein identification rate.
Keywords:proteomics  protein identification  precursor ions  monoisotopic peaks  systematic error
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