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通过将 ChaFRADIC 与其他蛋白酶结合,提高 N-端组学的覆盖度。

Improved Coverage of the N-Terminome by Combining ChaFRADIC with Alternative Proteases.

机构信息

Manitoba Centre for Proteomics and Systems Biology, Winnipeg, MB, Canada.

Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada.

出版信息

Methods Mol Biol. 2023;2718:99-110. doi: 10.1007/978-1-0716-3457-8_6.

DOI:10.1007/978-1-0716-3457-8_6
PMID:37665456
Abstract

Many proteolytic cleavage events cannot be covered with conventional trypsin-based N-terminomics workflows. These typically involve the derivatization of protein N-termini and Lys residues as an initial step, such that trypsin will cleave C-terminal of arginine but not lysine residues (ArgC-like cleavage). From 20,422 reviewed human protein sequences in Uniprot, 3597 have known N-terminal signal peptides. An in silico ArgC-like digestion of the corresponding 3597 mature protein sequences reveals that-even for these well-known and well-studied proteolytic events-trypsin-based N-terminomics workflows may miss up to 50% of signaling cleavage events as the corresponding neo-N-terminal peptides will have an unfavorable length of <7 (875 peptides) or >30 (911 peptides) amino acids. In this chapter, we provide a protocol that can be applied to all kinds of samples to improve access to this "inaccessible" N-terminome, by making use of the alternative, broad-specificity protease subtilisin for fast and reproducible digestion of proteins.

摘要

许多蛋白水解切割事件无法通过传统的基于胰蛋白酶的 N 端组学工作流程来覆盖。这些通常涉及蛋白质 N 末端和赖氨酸残基的衍生化作为初始步骤,使得胰蛋白酶将在精氨酸的 C 末端而不是赖氨酸残基处切割(ArgC 样切割)。在 Uniprot 中审查的 20422 个人类蛋白质序列中,有 3597 个具有已知的 N 端信号肽。对相应的 3597 个成熟蛋白质序列进行计算机模拟的 ArgC 样消化表明-即使对于这些众所周知和研究充分的蛋白水解事件-基于胰蛋白酶的 N 端组学工作流程可能会错过多达 50%的信号切割事件,因为相应的新 N 端肽的长度不合适,<7(875 个肽)或>30(911 个肽)个氨基酸。在本章中,我们提供了一种可以应用于各种样品的方案,通过利用替代的、广谱特异性蛋白酶枯草杆菌蛋白酶来快速且可重复地消化蛋白质,从而可以更好地获得这种“不可及”的 N 端组。

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本文引用的文献

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Carboxypeptidase B-Assisted Charge-Based Fractional Diagonal Chromatography for Deep Screening of C-Terminome.基于羧肽酶 B 辅助的基于电荷的分数化对角线色谱法对 C-末端组进行深度筛选。
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