Targeted Quantification of Proteoforms in Complex Samples by Proteoform Reaction Monitoring

化学 蛋白质组学 选择性反应监测 定量蛋白质组学 计算生物学 无标记量化 生物标志物 生物标志物发现 质谱法 串联质谱法 色谱法 生物化学 生物 基因
作者
Che‐Fan Huang,Jake Kline,Fernanda Negrão,Matthew T. Robey,Timothy K. Toby,Kenneth R. Durbin,Ryan T. Fellers,John J. Friedewald,Josh Levitsky,Michaël Abécassis,Rafael D. Melani,Neil L. Kelleher,Luca Fornelli
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:96 (8): 3578-3586 被引量:9
标识
DOI:10.1021/acs.analchem.3c05578
摘要

Existing mass spectrometric assays used for sensitive and specific measurements of target proteins across multiple samples, such as selected/multiple reaction monitoring (SRM/MRM) or parallel reaction monitoring (PRM), are peptide-based methods for bottom-up proteomics. Here, we describe an approach based on the principle of PRM for the measurement of intact proteoforms by targeted top-down proteomics, termed proteoform reaction monitoring (PfRM). We explore the ability of our method to circumvent traditional limitations of top-down proteomics, such as sensitivity and reproducibility. We also introduce a new software program, Proteoform Finder (part of ProSight Native), specifically designed for the easy analysis of PfRM data. PfRM was initially benchmarked by quantifying three standard proteins. The linearity of the assay was shown over almost 3 orders of magnitude in the femtomole range, with limits of detection and quantification in the low femtomolar range. We later applied our multiplexed PfRM assay to complex samples to quantify biomarker candidates in peripheral blood mononuclear cells (PBMCs) from liver-transplanted patients, suggesting their possible translational applications. These results demonstrate that PfRM has the potential to contribute to the accurate quantification of protein biomarkers for diagnostic purposes and to improve our understanding of disease etiology at the proteoform level.
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