State Key Laboratory of Drug Research , Shanghai Institute of Materia Medica, Chinese Academy of Sciences , 555 Zuchongzhi Road , Shanghai , 201203 , China.
University of Chinese Academy of Sciences , Beijing 100049 , China.
Anal Chem. 2019 Nov 19;91(22):14522-14529. doi: 10.1021/acs.analchem.9b03543. Epub 2019 Nov 5.
Global identification of protein C-termini is highly challenging due to their low abundance in conventional shotgun proteomics. Several enrichment strategies have been developed to facilitate the detection of C-terminal peptides. One major issue of previous approaches is the limited C-terminome coverage. Herein, we integrated LysargiNase digestion, chemical acetylation on neo-N-terminus, and a-ion-aided peptide matching into poly(allylamine)-based C-terminomics (termed as LAACTer). In this strategy, we leveraged LysargiNase, a protease with cleavage specificity N-terminal to Lys and Arg residues, to cover previously unidentifiable C-terminome and employed chemical acetylation and a-ion-aided peptide matching to efficiently boost peptide identifications. Triplicates of LAACTer identified a total of 834 C-termini from proteome of 293T cell, which expanded the coverage by 164% (643 more unique C-termini) compared with the parallel experiments using the original workflow. Compared with the largest human C-terminome data sets (containing 800-900 C-termini), LAACTer not only achieved comparable profiling depth but also yielded 465 previously unidentified C-termini. In a SILAC (stable isotope labeling with amino acids in cell culture)-based quantitative study for identification of GluC-cleaved products, LAACTer quantified 300% more C-terminal peptides than the original workflow. Using LAACTer and the original workflow, we performed global analysis for the C-terminal sequences of 293T cell. The original and processed C-termini displayed distinct sequence patterns, implying the "C-end rules" that regulates protein stability could be more complex than just amino acid motifs. In conclusion, we reason LAACTer could be a powerful proteomic tool for in-depth C-terminomics and would benefit better functional understanding of protein C-termini.
由于其在常规鸟枪法蛋白质组学中的丰度较低,因此对蛋白质 C 端进行全局鉴定极具挑战性。已经开发了几种富集策略来促进 C 端肽的检测。以前方法的一个主要问题是 C 端组学的覆盖范围有限。在此,我们将赖氨酰内肽酶(LysargiNase)消化、新 N 端的化学乙酰化和 a 离子辅助肽匹配整合到基于聚(烯丙胺)的 C 端组学(称为 LAACTer)中。在该策略中,我们利用赖氨酰内肽酶(一种特异性裂解 N 端赖氨酰和精氨酸残基的蛋白酶)来覆盖以前无法识别的 C 端组,并采用化学乙酰化和 a 离子辅助肽匹配来有效地提高肽鉴定率。LAACTer 重复鉴定了 293T 细胞蛋白质组中的 834 个 C 端,与使用原始工作流程的平行实验相比,覆盖范围扩大了 164%(增加了 643 个独特的 C 端)。与最大的人类 C 端数据集(包含 800-900 个 C 端)相比,LAACTer 不仅实现了可比的分析深度,而且还鉴定了 465 个以前未识别的 C 端。在基于 SILAC(稳定同位素标记与细胞培养中的氨基酸)的 GluC 切割产物鉴定的定量研究中,LAACTer 比原始工作流程定量了 300%的更多 C 端肽。使用 LAACTer 和原始工作流程,我们对 293T 细胞的 C 端序列进行了全局分析。原始和处理后的 C 端显示出不同的序列模式,这表明调节蛋白质稳定性的“C 端规则”可能比仅仅是氨基酸基序更复杂。总之,我们认为 LAACTer 可以成为深入的 C 端组学的强大蛋白质组学工具,并有助于更好地理解蛋白质 C 端的功能。