Suppr超能文献

多维蛋白质鉴定技术数据集的生成与分析

Generation and analysis of multidimensional protein identification technology datasets.

作者信息

Swanson Selene K, Florens Laurence, Washburn Michael P

机构信息

Stowers Institute for Medical Research, Kansas City, MO, USA.

出版信息

Methods Mol Biol. 2009;492:1-20. doi: 10.1007/978-1-59745-493-3_1.

Abstract

Systems that couple two dimensional liquid chromatography (LC/LC) with tandem mass spectrometry are widely used in modern proteomics. One such system, multidimensional protein identification technology (MudPIT), couples strong cation exchange chromatography and reversed phase chromatography to tandem mass spectrometry in a single microcapillary column. Using database searching algorithms like SEQUEST and additional computational tools, researchers are able to analyze in great detail complex peptide mixtures generated from biofluids, tissues, cells, organelles, or protein complexes. This chapter describes the use of MudPIT on modern mass spectrometry instrumentation and describes a data analysis pipeline designed to provide low false positive rates and quantitative datasets.

摘要

将二维液相色谱(LC/LC)与串联质谱联用的系统在现代蛋白质组学中被广泛应用。其中一种系统,多维蛋白质鉴定技术(MudPIT),在一根微毛细管柱中将强阳离子交换色谱和反相色谱与串联质谱联用。利用像SEQUEST这样的数据库搜索算法以及其他计算工具,研究人员能够详细分析从生物流体、组织、细胞、细胞器或蛋白质复合物中产生的复杂肽混合物。本章描述了在现代质谱仪器上使用MudPIT的方法,并介绍了一个旨在提供低假阳性率和定量数据集的数据分析流程。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验