规范化(社会学)
准确度和精密度
质谱法
计算机科学
鉴定(生物学)
数据挖掘
化学
色谱法
分析化学(期刊)
数学
统计
人类学
植物
生物
社会学
作者
Roland Bruderer,Oliver M. Bernhardt,Tejas Gandhi,Lukas Reiter
出处
期刊:Proteomics
[Wiley]
日期:2016-08-01
卷期号:16 (15-16): 2246-2256
被引量:96
标识
DOI:10.1002/pmic.201500488
摘要
Targeted analysis of data-independent acquisition (DIA) data is a powerful mass spectrometric approach for comprehensive, reproducible and precise proteome quantitation. It requires a spectral library, which contains for all considered peptide precursor ions empirically determined fragment ion intensities and their predicted retention time (RT). RTs, however, are not comparable on an absolute scale, especially if heterogeneous measurements are combined. Here, we present a method for high-precision prediction of RT, which significantly improves the quality of targeted DIA analysis compared to in silico RT prediction and the state of the art indexed retention time (iRT) normalization approach. We describe a high-precision normalized RT algorithm, which is implemented in the Spectronaut software. We, furthermore, investigate the influence of nine different experimental factors, such as chromatographic mobile and stationary phase, on iRT precision. In summary, we show that using targeted analysis of DIA data with high-precision iRT significantly increases sensitivity and data quality. The iRT values are generally transferable across a wide range of experimental conditions. Best results, however, are achieved if library generation and analytical measurements are performed on the same system.
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