Foods for Health — November 18, 2017
Morgan Cichon wins poster prize at MOVISS Metabolomic Bio and Data Meeting
Researchers from around the world gathered in Vorau, Austria in September at the MOVISS Metabolomic Bio and Data Meeting to focus on addressing and solving challenges within the metabolomics field. Foods for Health Research Scientist Morgan Cichon attended this small-scale meeting and won the poster prize. The meeting was divided into four sessions – From Samples to Peaks (experimental design and data acquisition), From Peaks to Numbers (data processing), From Numbers to Pictures (statistical analysis), and From Pictures to Understanding (data interpretation). Invited speakers for the meeting included, Karl Burgess, Oscar Yanes, Steffen Neuman, Beata Walczak, Age Smilde, and Nicola Zamboni. The diverse backgrounds of participants, as well as the remote location and small size of the meeting, fostered thoughtful and productive discussions regarding metabolomics data and ideas for advancing the field. The second annual MOVISS meeting is scheduled for September 9-12, 2018 in Vorau, Austria.
The poster prize was awarded to Morgan for her work entitled “Addressing stability of urine and plasma in large-scale LC-MS metabolomics experiments.” This work was conducted to assess sample stability during high-throughput metabolomics experiments. In high-throughput studies, preparing large batches of samples and running continuously is preferred as long as there is not a negative impact on data quality. Storage temperature and freeze-thaw cycles have been shown to affect the stability of samples for metabolomics studies. However, little work has been done to determine the stability of samples following extraction and during data acquisition. Morgan presented data showing significant separation of pooled urine and plasma samples based on length of time in the autosampler prior to injection, even after conditioning the LC-MS system. Results from these types of experiments can be used to determine batch sizes and are important when considering the design of larger metabolomics projects.