Inter-Laboratory Comparison of Metabolite Measurements for Metabolomics Data Integration
Inter-Laboratory Comparison of Metabolite Measurements for Metabolomics Data Integration
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DOI：
10.3390/metabo9110257
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发表时间：
2019-11-01
期刊：
影响因子：
4.1
通讯作者：
Oda, Yoshiya
中科院分区：
文献类型：
--
作者：
Izumi, Yoshihiro;Matsuda, Fumio;Oda, Yoshiya
背景资料：代谢组学领域目前的问题之一是难以整合使用不同设备在不同设施收集的数据，因为许多代谢组学方法已经独立开发，并且每个实验室都是独特的。研究方法：在这项研究中，我们检查了12个不同实验室的不同分析方法是否为某些代谢物提供了可比的相对定量数据。将从两种细胞系（HT-29和AsPc-1）中提取的相同样品分配至各机构，并使用各实验室的日常方案进行亲水性和疏水性代谢物分析。结果如下：结果表明，在实验室和测定方法之间，大约一半的测定代谢物的相对定量数据（HT-29/AsPc-1）没有差异。数据审查还显示，相对定量中的误差来自于错误峰鉴别、峰分离不充分、检测灵敏度差异、衍生化反应和提取溶剂干扰等问题。结论：结果表明，不同设施和不同时间获得的相对定量数据可以通过使用数据归一化的共享参考物质进行整合和比较。
Background: One of the current problems in the field of metabolomics is the difficulty in integrating data collected using different equipment at different facilities, because many metabolomic methods have been developed independently and are unique to each laboratory. Methods: In this study, we examined whether different analytical methods among 12 different laboratories provided comparable relative quantification data for certain metabolites. Identical samples extracted from two cell lines (HT-29 and AsPc-1) were distributed to each facility, and hydrophilic and hydrophobic metabolite analyses were performed using the daily routine protocols of each laboratory. Results: The results indicate that there was no difference in the relative quantitative data (HT-29/AsPc-1) for about half of the measured metabolites among the laboratories and assay methods. Data review also revealed that errors in relative quantification were derived from issues such as erroneous peak identification, insufficient peak separation, a difference in detection sensitivity, derivatization reactions, and extraction solvent interference. Conclusion: The results indicated that relative quantification data obtained at different facilities and at different times would be integrated and compared by using a reference materials shared for data normalization.