作　　者： ; ; ; ;

机构地区： 国防科学技术大学机电工程与自动化学院自动控制系

出　　处： 《分析化学》 2013年第7期1120-1128,共9页

摘　　要： 蛋白质组的高度复杂性给基于质谱的蛋白质鉴定提出了很大的挑战。技术需求促进质谱技术不断向前发展。仪器平台在软硬件方面的进步,为高通量蛋白质鉴定提供了更多选择和支撑。但是,仪器性能的充分发挥,还需要根据生物学问题的需求和分析样本的特性,设计高质量的数据采集策略。本文对目前高通量蛋白质鉴定中已开发的质谱数据采集策略进行了综述,重点介绍了Bottom-up策略中使用的简单重复、离子排除和监测、在线智能化扫描和分段扫描等技术,并关注了这些策略对高通量蛋白质鉴定的影响,总结了各种策略的优缺点并展望了其未来发展方向。 The high complexity of the proteome has brought great challenges to mass spectrometry-based protein identification. The technical requirements continuously forward the development of mass spectrometry. The advances in hardware and software of instrument platform provide more choices and supports for protein identification. However, it is necessary to design high-quality data acquisition strategy, which is heavyly dependent on the specific biological problem and the sample, to make the best use of the performance of the instrument. Here, the data acquisition strategy that has been developed for mass spectrometers in high throughput protein identification was reviewed. The simple repetitions, ion exclusion, ion inclusion, online intelligent data acquisition and segmented scanning technology for Bottom-up strategy were highlighted, and the impact of these strategies on the protein identification was concerned. Finally, the advantages and disadvantages of various strategies were summarized, and the future directions of developing the data acquisition strategy for mass spectrometers were discussed.

关 键 词： 蛋白质鉴定 质谱 数据采集策略 评述

领　　域： [生物学]