FlyMet offers a comprehensive tissue-specific metabolomics resource for Drosophila .
The FlyMet home page can currently be used to search for an individual metabolite, or pathway, of interest by name. In addition, access to the comprehensive FlyMet data via the Metabolite Explorer, Peak Explorer and Pathway Explorer can also be easily reached from the top navigation bar.
Use the Metabolite Search Page to look for a metabolite of interest by name and find out how it changes between tissue types for Female (F), Male (M) and Larvae (L) Drosophila. These metabolites have been identified using a standard compound library and are directly associated with a mass spec peak. The fold-change between the peak intensity in the tissues and the whole fly has been calculated and the relative intensity of the peaks in the different life-stages displayed.
Use the Pathway Search Page to look for metabolic Reactome pathways of interest by name. This then reveals the pathway metabolites found in FlyMet by looking at the associated peaks found across Female (F), Male (M) and Larvae (L) Drosophila tissues and how they change. The coverage of the metabolites found in FlyMet and in the pathways, is also shown.
Use Metabolite Explorer to examine all the metabolites that have been annotated in FlyMet. Metabolite formulas, synonyms, references to external databases and FlyMet peaks associated with the metabolites are shown. From here the average peak intensity levels for all identified metabolites in different tissues for Female (F), Male (M) and Larvae (L) Drosophila. can be found.
Use Peak Explorer to compare the average peak intensity levels for over 9,000 annotated mass spec peaks in different tissues for Female (F), Male (M) and Larvae (L) Drosophila. Clicking on a peak of interest reveals all the metabolite annotations associated with it.
Use Pathway Explorer to investigate changing metabolic pathways between Drosophila tissue types. Pathways with correlated changes in a group of pathway metabolites are ranked highest. This is acheived by incorporating the PALS system (Pathway Activity Level Scoring) for pathway ranking.
Use Gene Explorer to link genes back to metabolites and pathways in FlyMet and the reactions and proteins in Reactome. Multi-omics linking in Gene Explorer was achieved using pyMultiOmics.
If you have any questions about the website or suggestions for data analysis please feel free to contact us.