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Open-platform and Targeted MRM Approaches for Prediction of Peg-INF/Ribavirin Treatment Response in Hepatitis C Patients

机译:开放式平台和有针对性的MRM方法,用于预测丙型肝炎患者PEG-INF /利巴韦林治疗反应的方法

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摘要

Initial metaprotein model predictive of HCV therapy response has been verified in a 41-patient cohort by unbiased proteomics and 32/41 by MRM quantitation. Remainder of 41-patient cohort data collection ongoing. Additional verification has been performed on 51-patient pediatric cohort using unbiased approach, samples are also to be run with MRM quantitation. Accuracy of MRM quantitation needs to be improved by the use of stable-labeled peptides.
机译:通过UNBIASED蛋白质组学和32/41通过MRM定量,在41患者群组中验证了HCV治疗反应的初始Metaprootein模型。剩余的41例患者队列数据收集正在进行中。使用无偏见的方法对51例患者儿科队列进行了额外的验证,还使用MRM定量来运行样品。使用稳定标记的肽需要改善MRM定量的准确性。

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