LysargiNase and Chemical Derivatization Based Strategy for Facilitating In-Depth Profiling of C-Terminome

化学 细胞培养中氨基酸的稳定同位素标记 衍生化 等压标记 鸟枪蛋白质组学 自下而上蛋白质组学 蛋白质组 乙酰化 蛋白质组学 氨基酸 肽序列 计算生物学 组合化学 定量蛋白质组学 串联质谱法 生物化学 色谱法 质谱法 生物 蛋白质质谱法 基因
作者
Hao Hu,Wensi Zhao,Mengdi Zhu,Lei Zhao,Linhui Zhai,Jun‐Yu Xu,Ping Liu,Minjia Tan
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:91 (22): 14522-14529 被引量:16
标识
DOI:10.1021/acs.analchem.9b03543
摘要

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.

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