IPA can now predict metabolic activities in a dataset using its entire collection of more than 300 metabolic pathways. The prediction is based on the set of up and down regulated molecules in your datasets and the directionality of the metabolic pathway itself. See Figure 1 below which shows the Canonical Pathways tab in a Core Analysis, with metabolic pathways marked with red arrows. The orange color of the bars indicated they are predicted to have increased activity in this dataset.
Figure 1: The Canonical Pathways tab in a Core Analysis highlighting metabolic pathways with orange bars. These pathways are predicted to be activated in this analysis of kidney RNA of mice treated with the NRF2 activator CDDO-me (vs. DMSO, PMID 26422507).
The methodology IPA uses to predict the metabolic activity from a dataset in Core Analysis is described here. IPA can predict metabolic activity from your differential gene expression dataset, differential metabolomics dataset, or a dataset where you have concatenated both differential gene expression and differential metabolite concentrations into one “observation”.
The metabolic pathway activity scores contribute to Canonical Pathway signatures in Analysis Match*, as shown below in Figure 2.
Figure 2: Heatmap in Analysis Match filtered to show only the Canonical Pathway scores. Several metabolic pathways participate in the signature as shown.*Analysis Match requires additional licensing. Please contact us at [email protected] for info.
New Datasets for Analysis Match
There are 1,100+ new analyses for Analysis Match in this release, bringing the total available in IPA to >8,000. This includes two new repositories, RatDisease (under DiseaseLand) and Pediatrics (under OncoLand). Table 1 compares the repositories and their respective sizes in this release versus the prior one.
Table 1: Comparison of the number of datasets and repositories in this release (green color) to the prior release (red color). There are over 1,100 new datasets and their corresponding analyses in the current release.