Oral Sessions (Day1, Day2, Day3)
Oral Sessions
- Day 2, May 20（Thu.） 10:20-10:40 Room A (Zoom)
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2A-O6-1020 PDF
Verification of inter-laboratory comparison and future issues for metabolomics data integration
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 metabolomics methods have been developed independently and are unique to each laboratory. Accordingly, the development of a fundamental methodology that enables quantitative comparison of large scale data is needed for next-generation metabolomics study. As a starting point, we examined whether different analytical methods among different laboratories provided comparable relative quantification data for certain metabolites. The results indicate that relative values were often very different, but if these variations could be corrected, relative quantitative data obtained from different laboratories could be integrated for new biological findings by a large dataset that cannot be achieved by one facility. It can also be a means to verify the certainty of new analytical methods.