Suppr超能文献

通过有限蛋白酶解对多肽片段的N端和C端边界序列进行液相色谱-质谱分析。

LC-mass spectrometry analysis of N- and C-terminal boundary sequences of polypeptide fragments by limited proteolysis.

作者信息

Stroh Justin G, Loulakis Pat, Lanzetti Anthony J, Xie Julie

机构信息

PGRD-Groton Laboratories, Pfizer Inc., Groton, Connecticut 06340, USA.

出版信息

J Am Soc Mass Spectrom. 2005 Jan;16(1):38-45. doi: 10.1016/j.jasms.2004.08.018.

Abstract

Limited proteolysis is an important and widely used method for analyzing the tertiary structure and determining the domain boundaries of proteins. Here we describe a novel method for determining the N- and C-terminal boundary amino acid sequences of products derived from limited proteolysis using semi-specific and/or non-specific enzymes, with mass spectrometry as the only analytical tool. The core of this method is founded on the recognition that cleavage of proteins with non-specific proteases is not random, but patterned. Based on this recognition, we have the ability to determine the sequence of each proteolytic fragment by extracting a common association between data sets containing multiple potential sequences derived from two or more different mass spectral molecular weight measurements. Proteolytic product sequences derived from specific and non-specific enzymes can be accurately determined without resorting to the conventional time-consuming and laborious methods of SDS-PAGE and N-terminal sequencing analysis. Because of the sensitivity of mass spectrometry, multiple transient proteolysis intermediates can also be identified and analyzed by this method, which allows the ability to monitor the progression of proteolysis and thereby gain insight into protein structures.

摘要

有限蛋白酶解是分析蛋白质三级结构和确定蛋白质结构域边界的一种重要且广泛应用的方法。在此,我们描述了一种新颖的方法,该方法使用半特异性和/或非特异性酶,以质谱作为唯一的分析工具,来确定有限蛋白酶解产物的N端和C端边界氨基酸序列。此方法的核心基于这样一种认识,即使用非特异性蛋白酶对蛋白质进行切割并非随机的,而是有规律的。基于这一认识,我们能够通过提取包含来自两个或更多不同质谱分子量测量的多个潜在序列的数据集中的共同关联,来确定每个蛋白水解片段的序列。无需借助传统的耗时费力的SDS-PAGE和N端测序分析方法,就可以准确确定来自特异性和非特异性酶的蛋白水解产物序列。由于质谱的灵敏度,该方法还可以鉴定和分析多个瞬时蛋白酶解中间体,这使得能够监测蛋白酶解的进程,从而深入了解蛋白质结构。

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