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优化的多属性方法工作流程解决疏水性肽的漏切和色谱拖尾/携带。

Optimized Multi-Attribute Method Workflow Addressing Missed Cleavages and Chromatographic Tailing/Carry-Over of Hydrophobic Peptides.

机构信息

Symphogen, Pederstrupvej 93, 2750 Ballerup, Denmark.

出版信息

Anal Chem. 2022 Dec 13;94(49):17195-17204. doi: 10.1021/acs.analchem.2c03820. Epub 2022 Nov 8.

DOI:10.1021/acs.analchem.2c03820
PMID:36346901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9753059/
Abstract

Peptide mapping by liquid chromatography mass spectrometry (LC-MS) and the related multi-attribute method (MAM) are well-established analytical tools for verification of the primary structure and mapping/quantitation of co- and post-translational modifications (PTMs) or product quality attributes in biopharmaceutical development. Proteolytic digestion is a key step in peptide mapping workflows, which traditionally is labor-intensive, involving multiple manual steps. Recently, simple high-temperature workflows with automatic digestion were introduced, which facilitate robustness and reproducibility across laboratories. Here, a modified workflow with an automatic digestion step is presented, which includes a two-step digestion at high and low temperatures, as opposed to the original one-step digestion at a high temperature. The new automatic digestion workflow significantly reduces the number of missed cleavages, obtaining a more complete digestion profile. In addition, we describe how chromatographic peak tailing and carry-over is dramatically reduced for hydrophobic peptides by switching from the traditional C18 reversed-phase (RP) column chemistry used for peptide mapping to a less retentive C4 column chemistry. No negative impact is observed on MS/MS-derived sequence coverage when switching to a C4 column chemistry. Overall, the new peptide mapping workflow significantly reduces the number of missed cleavages, yielding more robust and simple data interpretation, while providing dramatically reduced tailing and carry-over of hydrophobic peptides.

摘要

肽图分析通过液相色谱-质谱联用(LC-MS)和相关的多属性方法(MAM),是验证生物制药开发中初级结构和共翻译及翻译后修饰(PTM)或产品质量属性的定位/定量的成熟分析工具。蛋白水解酶消化是肽图分析工作流程中的关键步骤,传统上该步骤非常耗费人力,涉及多个手动步骤。最近,引入了简单的高温自动消化工作流程,这有助于提高实验室间的稳健性和重现性。在这里,提出了一种改进的自动消化工作流程,其中包括两步高温和低温消化,而不是原始的一步高温消化。新的自动消化工作流程大大减少了漏切的数量,获得了更完整的消化谱。此外,我们描述了如何通过从用于肽图分析的传统 C18 反相(RP)柱化学切换到疏水性肽保留性较低的 C4 柱化学,极大地减少了色谱峰拖尾和峰前延。当切换到 C4 柱化学时,MS/MS 衍生的序列覆盖率没有观察到负面影响。总体而言,新的肽图分析工作流程大大减少了漏切的数量,产生更稳健和简单的数据解释,同时显著减少了疏水性肽的拖尾和峰前延。

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