Suppr超能文献

在大规模分析微克级样品的磷酸肽组时,用强阴离子交换毛细管捕获柱对磷酸肽进行分级。

Fractionation of phosphopeptides on strong anion-exchange capillary trap column for large-scale phosphoproteome analysis of microgram samples.

机构信息

CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, P. R. China.

出版信息

J Sep Sci. 2010 Jul;33(13):1879-87. doi: 10.1002/jssc.200900718.

Abstract

It is one of the key issues to develop powerful fractionating method to increase the identification of the low-abundance phosphopeptides. In this study, a semi-online 2-D LC separation strategy based on three-step fractionation of the enriched peptides on strong anion-exchange trap column was developed. It was demonstrated that the sensitivity and phosphoproteome coverage obtained by this fractionating method with strong anion-exchange trap column is much higher than those by the conventional methods based on C18 trap column. In addition, when the same amount of sample was loaded, the number of identified phosphopeptides had increased 108%. Combination of this three-step fractionation method with RPLC-MS/MS analysis by 300 min RP-gradient separation was applied to phosphoproteome analysis of human liver proteins, and 853 unique phosphopeptides was positively identified from 500 microg tryptic digest of human liver proteins. After three cycles' consecutive analyses, 1554 unique phosphopeptides and 1566 phosphorylated sites were totally identified from 735 phosphorylated proteins at a false discovery rate of <1% in about 54 h of analysis time.

摘要

开发强大的分级方法以增加低丰度磷酸肽的鉴定是关键问题之一。在本研究中,开发了一种基于三步分级的半在线二维 LC 分离策略,即在强阴离子交换捕获柱上对富集的肽进行分级。结果表明,与基于 C18 捕获柱的常规方法相比,这种带有强阴离子交换捕获柱的分级方法的灵敏度和磷酸肽覆盖率要高得多。此外,当加载相同量的样品时,鉴定出的磷酸肽数量增加了 108%。将这种三步分级方法与 300 min RP 梯度分离的 RPLC-MS/MS 分析相结合,用于人肝蛋白质的磷酸蛋白质组学分析,从 500μg 人肝蛋白质的胰蛋白酶消化物中鉴定出 853 个独特的磷酸肽。经过三个连续循环的分析,在约 54 小时的分析时间内,从 735 个磷酸化蛋白质中总共鉴定出 1554 个独特的磷酸肽和 1566 个磷酸化位点,假发现率 <1%。

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