Tuomivaara Sami T, Schliekelman Paul, Nairn Alison V, Moremen Kelley W, York William S
Complex Carbohydrate Research Center, 315 Riverbend Rd, Athens, GA 30602, USA.
The Department of Statistics, 101 Cedar St, University of Georgia, Athens, GA 30602, USA.
Anal Chim Acta. 2017 Nov 15;993:22-37. doi: 10.1016/j.aca.2017.09.023. Epub 2017 Oct 4.
Motivated by the lack of easily implementable and generally applicable strategies to increase and assess data accuracy, we devised a novel label-free approach, termed REQUIEM, to address challenges in relative quantitation. For comparing the relative amounts of analytes in two samples, a mixture is prepared from aliquots of the samples, and the samples and the mixture are analyzed in parallel according to the intended workflow. Processing of the resulting data using the REQUIEM algorithm yields unbiased analyte fold-changes and associated statistics, allowing several types of errors to be diagnosed or eliminated. Extensive simulations and analysis of carefully prepared standard samples demonstrated the rigorous foundations of REQUIEM. We applied REQUIEM to several real-world analytical techniques and workflows, notably to tandem mass spectrometry analysis by using isomeric oligosaccharides as test analytes. We conclude that REQUIEM can reveal inaccuracies in the data that are difficult to identify by using traditional approaches.
由于缺乏易于实施且普遍适用的提高和评估数据准确性的策略,我们设计了一种名为REQUIEM的新型无标记方法,以应对相对定量方面的挑战。为了比较两个样品中分析物的相对含量,从样品的等分试样中制备混合物,并根据预期的工作流程对样品和混合物进行平行分析。使用REQUIEM算法处理所得数据可产生无偏差的分析物倍数变化及相关统计数据,从而能够诊断或消除几种类型的误差。对精心制备的标准样品进行的广泛模拟和分析证明了REQUIEM的严谨基础。我们将REQUIEM应用于多种实际分析技术和工作流程,特别是通过使用异构寡糖作为测试分析物进行串联质谱分析。我们得出结论,REQUIEM可以揭示使用传统方法难以识别的数据不准确之处。