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Choice of LC-MS Methods for the Absolute Quantification of Drug-Metabolizing Enzymes and Transporters in Human Tissue: a Comparative Cost Analysis

机译:用于人体组织中药物代谢酶和转运蛋白绝对定量的LC-MS方法选择:比较成本分析

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摘要

The quantification of drug-metabolizing enzymes and transporters is important for in vitro-in vivo extrapolation (IVIVE) of xenobiotic clearance, which has become an integral part of drug development. There are different mass spectrometry-based techniques used for quantitative proteomics, and as more laboratories are opting for the use of these methods, selecting the most appropriate tool is becoming a concern. For the first time, we attempt to determine the significance of cost of different LC-MS methods of quantitative analysis of these proteins and to present a framework to objectively assess the choice of the techniques. Based on our analysis, quantification using labeled internal standards is more expensive per sample but provides higher quality data than label-free quantification. Quantification using absolute quantification synthetic peptides is the approach of choice for analyzing less than nine proteins, whereas when quantifying a defined set of proteins (10–50), such as enzymes, in a reasonably large number of samples (20–100), the quantification concatemer technique is more economical, followed by label-free quantification. When analyzing proteomes or sub-proteomes (≥500 proteins), label-free quantification is more cost-effective than the use of labeled internal standards. A cost-benefit approach is described to assess the choice of the most appropriate mass spectrometry-based approach for the quantification of proteins relevant to IVIVE.Electronic supplementary materialThe online version of this article (doi:10.1208/s12248-014-9712-6) contains supplementary material, which is available to authorized users.
机译:药物代谢酶和转运蛋白的定量对于异源生物清除的体外-体内外推法(IVIVE)非常重要,这已成为药物开发的组成部分。定量蛋白质组学有许多不同的基于质谱的技术,并且随着越来越多的实验室选择使用这些方法,选择最合适的工具成为一个问题。我们首次尝试确定对这些蛋白质进行定量分析的不同LC-MS方法的成本意义,并提出一个客观评估该技术选择的框架。根据我们的分析,每个样品使用标记内标进行定量分析的成本更高,但与无标记定量相比,可提供更高质量的数据。使用绝对定量合成肽进行定量是分析少于9种蛋白质的一种选择方法,而当定量分析相当数量的样品(20-100)中的一组定义的蛋白质(10-50),例如酶时,定量级联技术更经济,其次是无标记定量。在分析蛋白质组或子蛋白质组(≥500个蛋白质)时,无标记的定量比使用标记的内标更具成本效益。描述了一种成本效益方法来评估选择最合适的基于质谱的方法来定量与IVIVE相关的蛋白质。电子补充材料本文的在线版本(doi:10.1208 / s12248-014-9712-6)包含补充材料,授权用户可以使用。

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