IPA Spring Release 2014

The 2014 Spring Release of QIAGEN’s Ingenuity Pathway Analysis (IPA®) has exciting new capabilities including Regulator Effects and expanded My Findings. With IPA’s newest features you can quickly distill the information in your data to understand upstream regulatory mechanisms and their connections to downstream functional effects generating testable hypotheses.

Regulator Effects

The Regulator Effects analysis in IPA provides unprecedented insights into your data by integrating Upstream Regulator results with Downstream Effects results to create causal hypotheses that explain what may be occurring upstream to cause particular phenotypic or functional outcomes downstream.

  • Explain biological impact of upstream molecules via genes they regulate
  • Explain mechanism for a phenotype
  • Define important drug targets
Regulator Effects Results Table.  The new Regulator Effects tab displays a table of hypotheses that can explain how activation or inhibition of upstream regulators may drive downstream effects (such as increasing or decreasing diseases, phenotypes, or biological functions).

Regulator Effects Results Table. The new Regulator Effects tab displays a table of hypotheses that can explain how activation or inhibition of upstream regulators may drive downstream effects (such as increasing or decreasing diseases, phenotypes, or biological functions).

Regulator Effects creates the above hypothesis that the four upstream regulators MEF2A, PPARGC1B, HAND2 and the Creb protein family are activated, which in turn drives expression changes in the dataset (shown in the middle tier) to cause increased heart rate, contractility of heart, and contractility of muscle in general.

Regulator Effects creates the above hypothesis that the four upstream regulators MEF2A, PPARGC1B, HAND2 and the Creb protein family are activated, which in turn drives expression changes in the dataset (shown in the middle tier) to cause increased heart rate, contractility of heart, and contractility of muscle in general.

Create My Findings inside IPA

IPA’s My Findings capability allows you to leverage your domain expertise to customize Ingenuity content for a specific disease or therapeutic area of interest from your institution’s internal curation efforts. Import your own proprietary molecule-to-molecule and molecule-to-disease/function relationships and use them throughout IPA including causal analytics. These relationships are securely maintained in a secure proprietary database dedicated to your company or institution.

In this release of IPA, now you can easily enter new relationships by simply drawing and annotating them on a new or existing pathway. Within 24 hours these “go live” and are available to you and to everyone on your IPA license.

  • Simplify My Findings creation by enabling quick and intuitive findings creation within IPA– just draw and annotate the connection on a pathway or network
  • Quickly add and leverage relevant findings, especially valuable for specialized areas of research or for proprietary information
  • Add proprietary relationships easily from within IPA
  • Leverage throughout IPA including causal analytics
Create My Findings in IPA.  Now you can enter new relationships in IPA on-the-fly and you and everyone on your IPA license has the option to use them throughout IPA including in causal analytics applications like Upstream Regulator Analysis and Downstream Effects Analysis.

Create My Findings in IPA. Now you can enter new relationships in IPA on-the-fly and you and everyone on your IPA license has the option to use them throughout IPA including in causal analytics applications like Upstream Regulator Analysis and Downstream Effects Analysis.