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全自动在线蛋白质酶解及 LC-MS 肽图分析。

Fully Unattended Online Protein Digestion and LC-MS Peptide Mapping.

机构信息

Process Development, Amgen Inc., One Amgen Center Drive, Thousand Oaks, California 91320, United States.

出版信息

Anal Chem. 2023 Oct 24;95(42):15514-15521. doi: 10.1021/acs.analchem.3c01554. Epub 2023 Oct 10.

Abstract

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.

摘要

基于 LC-MS 的肽图分析,即蛋白的酶解消化后进行 LC-MS/MS 分析,是蛋白质一级结构鉴定的首选方法。手动酶解消化通常是一项劳动强度大的工作。在这项工作中,开发了一种新的全自动在线蛋白消化和 LC-MS 肽图分析方法。该方法无需用户干预即可从未消化的蛋白质样品中生成 LC-MS 数据,利用与一些附加模块一起进行色谱分离的相同 HPLC 系统。每个样品在进行 LC-MS 分析之前都被快速消化,从而最大程度地减少了由于长时间消化或手动或自动离线消化方法中的消化储存时间而产生的假象。在本报告中,我们在配备 Multisampler 的安捷伦 1290 Infinity II LC 系统上实施了该方法。该系统执行完整的消化工作流程,包括变性、二硫键还原、半胱氨酸烷基化、缓冲液交换和胰蛋白酶消化。我们证明该系统能够高效地消化单克隆抗体和其他蛋白质,并且具有稳健性和重现性,产生的假象比手动制备的消化物少。此外,由于大部分消化后的样品蛋白都要进行 LC-MS 分析,因此该系统仅消耗几微克的材料。

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