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毛细管电泳质谱蛋白质组学定量的多点验证:串联质量标签的等压多路复用

A Multipoint Validation of Quantification in Capillary Electrophoresis Mass Spectrometry Proteomics: Isobaric Multiplexing with Tandem Mass Tags.

作者信息

Rodriguez Laura G, Lombard-Banek Camille, Quach Vi M, Choi Sam B, Manzini M Chiara, Nemes Peter

机构信息

Department of Chemistry & Biochemistry, University of Maryland, College Park, Maryland 20742, United States.

Department of Chemistry, The George Washington University, Washington, District of Columbia 20052, United States.

出版信息

Anal Chem. 2025 May 27;97(20):10901-10909. doi: 10.1021/acs.analchem.5c01832. Epub 2025 May 13.

DOI:10.1021/acs.analchem.5c01832
PMID:40359386
Abstract

Multiplexing quantification using isobaric barcoding has gained traction in trace-sensitive and single-cell mass spectrometry (MS), both in nanoflow liquid chromatography (nanoLC) and capillary electrophoresis (CE). In nanoLC-MS, ratio compression from isobaric interferences is known to challenge quantification accuracy during tandem MS (MS), which is effectively remedied using simultaneous precursor selection (SPS) MS. Despite mounting interest in CE-MS for trace-sensitive bottom-up proteomics, the fidelity of multiplexed quantification is unknown using this technology. Here, we address this fundamental knowledge gap by holistically investigating quantification depth, reproducibility, and accuracy using a validated mouse-yeast two-proteome model. CE-based quantification via the MS and SPS-MS strategies were benchmarked against the nanoLC SPS-MS gold standard. We found electrophoresis-correlative (Eco) ion sorting to order peptides into high-flux transients of nominally isobaric / values (Δ/ < 1-2 Th). While the MS approach struggled with ratio distortion, the SPS-MS robustly eliminated them for both separations. The reproducibility and accuracy proved indistinguishable between CE and nanoLC using MS or SPS-MS quantification. CE enhanced the depth of quantification by ∼12-fold. These analytical insights can be used to design trace CE-MS studies with high scientific rigor.

摘要

使用等压条形码的多重定量在痕量敏感和单细胞质谱(MS)中受到关注,在纳流液相色谱(nanoLC)和毛细管电泳(CE)中均是如此。在nanoLC-MS中,已知等压干扰导致的比率压缩会在串联质谱(MS/MS)期间对定量准确性构成挑战,而使用同步前体选择(SPS)MS可有效解决这一问题。尽管人们对用于痕量敏感的自下而上蛋白质组学的CE-MS兴趣日增,但使用该技术进行多重定量的保真度尚不清楚。在此,我们通过使用经过验证的小鼠-酵母双蛋白质组模型全面研究定量深度、重现性和准确性,填补了这一基础知识空白。通过MS和SPS-MS策略基于CE的定量与nanoLC SPS-MS金标准进行了对比。我们发现电泳相关(Eco)离子分选可将肽段排列成名义上等压的/值(Δ/<1-2 Th)的高通量瞬态。虽然MS方法存在比率失真问题,但SPS-MS对两种分离方式都能有效消除这些问题。使用MS或SPS-MS定量时,CE和nanoLC之间的重现性和准确性被证明没有差异。CE将定量深度提高了约12倍。这些分析见解可用于设计具有高度科学严谨性的痕量CE-MS研究。

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