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A simple peak detection and label-free quantitation algorithm for chromatography-mass spectrometry

机译:色谱-质谱联用的简单峰检测和无标记定量算法

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摘要

BackgroundLabel-free quantitation of mass spectrometric data is one of the simplest and least expensive methods for differential expression profiling of proteins and metabolites. The need for high accuracy and performance computational label-free quantitation methods is still high in the biomarker and drug discovery research field. However, recent most advanced types of LC-MS generate huge amounts of analytical data with high scan speed, high accuracy and resolution, which is often impossible to interpret manually. Moreover, there are still issues to be improved for recent label-free methods, such as how to reduce false positiveegatives of the candidate peaks, how to expand scalability and how to enhance and automate data processing. AB3D (A simple label-free quantitation algorithm for Biomarker Discovery in Diagnostics and Drug discovery using LC-MS) has addressed these issues and has the capability to perform label-free quantitation using MS1 for proteomics study.
机译:质谱数据的无标签定量是蛋白质和代谢物差异表达谱分析的最简单,最便宜的方法之一。在生物标志物和药物发现研究领域,对高精度和高性能计算无标记定量方法的需求仍然很高。但是,最近最先进的LC-MS类型可产生大量具有高扫描速度,高精度和高分辨率的分析数据,而这通常是无法手动解释的。此外,对于最近的无标签方法,仍有一些问题需要改进,例如如何减少候选峰的假阳性/阴性,如何扩展可伸缩性以及如何增强和自动化数据处理。 AB3D(一种使用LC-MS在诊断和药物发现中用于生物标志物发现的简单无标记定量算法)已经解决了这些问题,并具有使用MS1进行蛋白质组学研究的无标记定量的能力。

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