化学
计算生物学
抗原
信使核糖核酸
免疫系统
融合蛋白
蛋白质组学
肽
生物标志物
仿形(计算机编程)
定量蛋白质组学
抗原处理
翻译(生物学)
质粒
细胞
基因表达
基因表达谱
细胞生物学
蛋白质表达
工作流程
无标记量化
实时聚合酶链反应
核糖核酸
线性
作者
Ruben Almey,Kevin Mwangi,A. De Maesschalck,Thomas Ehouarne,Sieglinde De Cae,Pathmanaban Ramasamy,Marijn Van Hulle,Ine Lentacker,Bert Schepens,Dieter Deforce,Geert Martens,Pieter Ramaut,Johannes P.C. Vissers,Xavier Saelens,Rein Verbeke,Maarten Dhaenens,Bart Van Puyvelde
标识
DOI:10.1021/acs.analchem.6c01359
摘要
The COVID-19 pandemic has accelerated interest in immuno-multiple reaction monitoring (immuno-MRM) for peptide quantification, with early efforts focusing on SARS-CoV-2 biomarker detection in clinical nasopharyngeal swabs. However, the emergence of mRNA vaccines has created a new and pressing need for robust methods to quantify antigen expression. Here, we present an optimized immuno-MRM method targeting the SARS-CoV-2 spike fusion peptide SFIEDLLFNK, designed and validated to quantify antigen expression following mRNA or plasmid transfection. This method offers high sensitivity, precision, and linearity across a broad dynamic range, enabling an accurate assessment of protein translation in vitro. In addition to measuring antigen levels, analysis of the flow-through provides insight into host cell proteomic responses, supporting the comprehensive characterization of mRNA vaccine efficacy and safety. This dual-function workflow serves as a powerful tool for vaccine development, quality control, and regulatory evaluation of RNA-based therapeutics.
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