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通过结合连续消化和多个 MS 谱图积分,在蛋白质序列中准确区分亮氨酸和异亮氨酸残基。

Accurate discrimination of leucine and isoleucine residues by combining continuous digestion with multiple MS spectra integration in protein sequence.

机构信息

CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R. & A. Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning, 116023, China; University of Chinese Academy of Sciences, Beijing, 100039, China.

CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R. & A. Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning, 116023, China.

出版信息

Talanta. 2022 Nov 1;249:123666. doi: 10.1016/j.talanta.2022.123666. Epub 2022 Jun 14.

DOI:10.1016/j.talanta.2022.123666
PMID:35717752
Abstract

Protein de novo sequencing based on tandem mass spectrometry is a crucial technology that enables the identification of peptides without searching databases and assembling unknown sequence proteins, especially for monoclonal antibodies (mAbs). However, the discrimination of leucine (Leu) and isoleucine (Ile) residues in the target protein sequence is still challenging. Herein, we developed an accurate method by continuous digestion with MS-based fragmentation and multiple spectra integration (evaluated by combined verification score, CVS) to distinguish Leu and Ile residues. Continuous digestion promotes the diversity of peptides in order to expose more Leu and Ile at the N-terminal. CVS integrates multiple MS spectra to reduce the interference from noise and co-fragmented ions and improve accuracy. This method successfully resolved all 75 Leu/Ile in bovine serum albumin, especially 3 consecutive Leu/Ile. We further applied the method to analyze trastuzumab and 67 out of the 68 Leu/Ile from the light chain and heavy chain were accurately discriminated, demonstrating the great potential in mAbs sequencing.

摘要

基于串联质谱的从头测序蛋白质是一种关键技术,它能够识别没有在数据库中搜索到的肽和组装未知序列的蛋白质,特别是单克隆抗体(mAbs)。然而,在目标蛋白质序列中区分亮氨酸(Leu)和异亮氨酸(Ile)残基仍然具有挑战性。在此,我们通过基于 MS 的碎片化和多个谱图整合的连续消化(通过组合验证评分,CVS 进行评估)开发了一种准确区分 Leu 和 Ile 残基的方法。连续消化促进了肽的多样性,以便在 N 端暴露更多的 Leu 和 Ile。CVS 整合了多个 MS 谱图,以减少噪声和共碎片化离子的干扰,提高准确性。该方法成功地解析了牛血清白蛋白中的所有 75 个 Leu/Ile,特别是 3 个连续的 Leu/Ile。我们进一步将该方法应用于曲妥珠单抗的分析,并且成功准确地区分了轻链和重链中的 67 个 Leu/Ile,表明其在 mAbs 测序方面具有巨大的潜力。

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