For a complete list of data sources currently integrated into CircadiOmics click here.
To test if your web browser is compatible, Click here to open the UPP2 network.
Enter a metabolite name or KEGG ID. Click on the search symbol. All metabolites containing the search term will appear. If necessary, scroll down the page or advance through several pages to find the desired metabolite.
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All metabolites presented in CircadiOmics were identified via ultra-high performance liquid chromatography/mass spectrometry from the indicated bioelements.
Line plots to the left depict the scaled intensity of the metabolite at different zeitgeber times (ZT3, ZT9, ZT15, and ZT21). Blue lines indicate relative abundance of the metabolite in wild-type bioelement and orange lines indicate relative metabolite abundance in Clock-deficient bioelement.
To the right of each metabolite graph, further information is listed about the compound, including the KEGG ID, the metabolic pathway to which it is most closely associated, as well as the compound mass.
To view the network assembled for the metabolite, click on "View Network". How the metabolite links to enzymes and transcription factors is depicted*. Networks are composed of data from KEGG, CIRCA, MotifMap and other sources. More information regarding the methods used for generating these networks can be found in the paper.
*be aware that large networks may take longer to load
The tables located under each metabolite graph show two-way ANOVA results as well as the fold change numbers for the relative metabolite abundance between wild-type and circadian mutant bioelements at a given zeitgeber time.
Time and genotype are the two variables in the Two-way ANOVA
analysis. P- and q-values are shown here.
'Fold Change' (the ratio of the metabolite level in Clock-deficient to the
metabolite level in WT) is reported at different zeitgeber time. The p-
and q-value statistics are shown.