Fully Unattended Online Protein Digestion and LC–MS Peptide Mapping

化学 消化(炼金术) 色谱法 半胱氨酸 样品制备 蛋白水解酶 自下而上蛋白质组学 质谱法 串联质谱法 生物化学 蛋白质质谱法
作者
Jason Richardson,Zhongqi Zhang
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (42): 15514-15521 被引量:1
标识
DOI:10.1021/acs.analchem.3c01554
摘要

LC–MS based peptide mapping, i.e., proteolytic digestion followed by LC–MS/MS analysis, is the method of choice for protein primary structural characterization. Manual proteolytic digestion is usually a labor-intensive procedure. In this work, a novel method was developed for fully automated online protein digestion and LC–MS peptide mapping. The method generates LC–MS data from undigested protein samples without user intervention by utilizing the same HPLC system that performs the chromatographic separation with some additional modules. Each sample is rapidly digested immediately prior to its LC–MS analysis, minimizing artifacts that can grow over longer digestion times or digest storage times as in manual or automated offline digestion methods. In this report, we implemented the method on an Agilent 1290 Infinity II LC system equipped with a Multisampler. The system performs a complete digestion workflow including denaturation, disulfide reduction, cysteine alkylation, buffer exchange, and tryptic digestion. We demonstrated that the system is capable of digesting monoclonal antibodies and other proteins with excellent efficiency and is robust and reproducible and produces fewer artifacts than manually prepared digests. In addition, it consumes only a few micrograms of material as most of the digested sample protein is subjected to LC–MS analysis.
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