化学
蛋白质组
工作流程
蛋白质组学
定量蛋白质组学
色谱法
人血浆
蛋白质水解
样品制备
生物标志物发现
血液蛋白质类
肽
生物标志物
计算生物学
定量分析(化学)
血浆
等离子体
样品(材料)
生物流体
基质(化学分析)
质谱法
生物信息学
自下而上蛋白质组学
复矩阵
蛋白质沉淀
作者
Elodie Logerot,Timon Geib,Stoyan Stoychev,Dorte B. Bekker‐Jensen,Nicolai Bache,Christoph H. Borchers
标识
DOI:10.1021/acs.analchem.6c04223
摘要
Abstract Blood plasma is a valuable matrix for biomarker discovery and disease monitoring, but LC-MS-based plasma proteomics remains limited by complex sample preparation workflows, analytical variability, and challenges in achieving reproducible quantitative measurements. To address these limitations, we developed a simplified “One-Tip” workflow that integrates protein extraction, reduction, alkylation, digestion, and peptide desalting within a single C18 disposable trap column (Evotip), minimizing handling, sample losses, and technical variability. Applied to undepleted human plasma, the One-Tip workflow achieved analytical performance comparable to established SP3 and S-Trap methods while requiring only 500 ng of starting material. More than 350 protein groups were reproducibly identified, with >54% overlap between workflows and median protein-level coefficients of variation below 20%. Plasma-loaded Evotips remained stable for up to 14 days at 4 °C without substantial loss of proteome coverage, and a shared core proteome of 234 proteins was consistently detected across five independent plasma lots. To improve quantitative consistency, we incorporated a stable isotopically labeled (SIL) mouse plasma internal standard directly into the workflow. Human/mouse peptide doublets enabled the quantification of approximately one hundred proteins (∼30% of the identified proteome), providing robust protein-level light/heavy ratio measurements. The SIL mouse plasma standard remained quantitatively stable during seven days of storage and across SIL mouse generations, supporting its use as a reliable biological reference material. Together, these results establish the One-Tip workflow as a low-handling, scalable, and reproducible platform for plasma proteomics and provide a foundation for standardized quantitative workflows based on biological isotope-labeled internal standards.
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