IPA Summer Release 2015

What’s New in the IPA Summer Release (June 2015)

Quickly visualize and identify significant genes or regulators across conditions. New gene-level heatmaps provide clarity into which genes are up and down regulated in a particular pathway, upstream regulator, or downstream disease or function across conditions enabling rapid identification of significant genes or regulators across those conditions.

One significant benefit of IPA is the ability to reveal potential causal associations hidden in your datasets of differentially expressed genes. But these may not involve exactly the same set of genes across different datasets or analyses. For example, in two different analyses deriving from different experimental conditions, IPA may predict that a particular upstream regulator is increasing in activity, but in one dataset it may involve one set of genes for the prediction and in the other dataset a somewhat different set of genes, but still resulting in the same predicted upstream regulator. The new gene heat maps in Comparison Analysis can quickly help you examine and identify significant expression differences across those conditions.

Fig 1. New heatmap displaying the genes associated with the upstream regulator MEF2C across three analyses ordered by time (increasing left to right) in Comparison Analysis. For example more of MEF2C’s targets are upregulated at the later two time points. Also some have higher fold changes (are darker red) in the last time point. You can easily see how the gene NPPA was only strongly up-regulated in the last time point. Figure 2 shows how to access the new gene heatmap feature.

Fig 2. You can access the new gene heatmap by clicking the GENE HEATMAP button (shown with red arrow above) after selecting a row in the “activity” heatmap shown above. The gene heatmap is available for Canonical Pathways, Upstream Regulators, Causal Networks, Diseases and Functions, My Pathways, and My Lists.

NEW IPA client installer

To install the IPA client, download the installer from this link:
https://analysis.ingenuity.com/pa/installer/select and follow the instructions.