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A method of aligning peak lists generated by gas chromatography high-resolution mass spectrometry

机译:气相色谱高分辨率质谱法产生的峰列表的比对方法

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摘要

We report a method for the peak list alignment of gas chromatography high resolution time-of-flight mass spectrometry data. The alignment is performed in a z-score transformed retention time domain to standardize chromatographic peak distribution across samples. A mixture score is developed to assess the similarity between two peaks by simultaneously evaluating the mass spectral similarity and the closeness of retention time. An analysis of experimental data acquired under three different flow rates indicates that the proposed method is able to correctly align the heterogeneous data. The effectiveness of method is further validated by analyzing experimental data of multiple mixtures of metabolite extract from mouse liver with 28 spiked-in acids. All of the detected spiked-in acids were correctly aligned. A statistical test correctly detected the concentration differences of the spiked-in compounds between sample groups using the alignment table. The area under curve (AUC) value in the receiver operating characteristic (ROC) curve is larger than 0.85 in all three of the compared sample groups, indicating a high accuracy of peak alignment and supporting the potential application of the proposed method for metabolomics projects such as biomarker discovery.
机译:我们报告了气相色谱高分辨率飞行时间质谱数据的峰列表比对的方法。比对是在z分数转换的保留时域中进行的,以标准化整个样品的色谱峰分布。通过同时评估质谱相似度和保留时间的接近度,可以开发出一种混合评分来评估两个峰之间的相似度。对三种不同流速下采集的实验数据的分析表明,所提出的方法能够正确地对齐异质数据。通过分析小鼠肝脏中代谢物提取物与28种加标酸的多种混合物的实验数据,进一步验证了该方法的有效性。所有检测到的加标酸均已正确对齐。统计测试使用比对表正确检测了样品组之间加标化合物的浓度差异。在所有三个比较样本组中,接收器工作特性(ROC)曲线中的曲线下面积(AUC)值均大于0.85,这表明峰比对具有很高的准确性,并支持了所提出方法在代谢组学项目中的潜在应用,例如作为生物标志物的发现。

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