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Large-scale implementation of sequential protein and peptide immunoaffinity enrichment LCanoLC-MS/MS for human beta-nerve growth factor

机译:大规模实施蛋白质和多肽免疫亲和富集LC / nanoLC-MS / MS用于人β神经生长因子

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Background: A previously described immunoaffinity (IA)-LC-MS/MS assay for human beta-nerve growth factor (beta-NGF) was implemented to support large-scale sample testing for multiple clinical trials. Methodology & results: The procedure was modified to increase throughput by simultaneous preparation of two 96-well plates and LC duty-cycle reduction. Robustness of the LC method and nano-ESI was ensured during large-scale assay execution by closely monitoring and, if needed, replacing system components prior to failure. Following validation, the assay was used to analyze approximately 19,000 samples from multiple clinical studies over several years. Conclusion: Routine implementation of the beta-NGF IA-LC-MS/MS assay supported drug development programs. This optimized assay format now serves as a template for other clinical protein biomarker assays.
机译:背景:先前描述的用于人β神经生长因子(β-NGF)的免疫亲和(IA)-LC-MS / MS分析方法得以实施,以支持针对多个临床试验的大规模样品测试。方法与结果:通过同时准备两个96孔板和降低LC占空比,对程序进行了改进,以提高通量。通过大规模监控并在故障发生之前更换系统组件(如果需要),可确保大规模测定执行过程中LC方法和nano-ESI的耐用性。验证后,该测定法可用于分析几年来多个临床研究中的大约19,000个样品。结论:常规实施β-NGFIA-LC-MS / MS分析可支持药物开发计划。现在,这种优化的测定形式可作为其他临床蛋白质生物标志物测定的模板。

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