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Latest improvements for IPA

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What’s New in the IPA Spring Release (March 2021)

Easily find relevant analyses in the 90,000+ dataset Analysis Match collection

Searching for analyses and datasets of interest to view or overlay is now much easier and more accurate with filterable and customizable metadata columns. Simply enter keywords of interest in a project search, and then use the filters above the metadata columns to narrow the results to exactly what you need.

Data Search and Analysis has new options for searching and filtering. This example shows a search to find mouse liver studies of NASH.

 

Elucidate biology by finding enriched subcellular locations

The subcellular locations of proteins can provide clues to their function and role(s) in the cell. For example, proteins found in the mitochondria will have different roles than those found in lysosomes.

Now, you can automatically discover and annotate the detailed subcellular locations of molecules in any network or pathway with detailed subcellular locations of the molecules.

A pathway configured to show subcellular localization information.

Detail of the above pathway showing proteins that are localized to the Golgi apparatus.

Other application improvements

  • Autocomplete has been improved for genes and chemicals.
  • Gene Views, Chem Views, Canonical Pathway Reports, etc., have been updated with a new look and feel.

New appearance of the Gene View.

 

Content updates

New QIAGEN OmicSoft Single Cell Land and SARS-CoV-2 datasets are included with the more than 90,000 datasets that are now available in Analysis Match.

Two new Canonical Signaling Pathways

  • Dilated Cardiomyopathy Signaling Pathway
  • NAD Signaling Pathway

Addition of Activity Patterns to four existing Canonical Signaling Pathways

  • Autophagy
  • T Cell Receptor Signaling
  • Regulation of IL-2 Expression in Activated and Anergic T Lymphocytes
  • Dendritic Cell Maturation

One updated Canonical Signaling Pathway

  • Coronavirus Pathogenesis Pathway

>120,000 new findings (bringing the total in IPA to over 7.8 million), including the following:

  • >37,000 expert findings
  • >39,000 protein–protein interaction findings from BioGRID
  • >22,100 cancer mutation findings from ClinVar
  • >12,700 findings from the Mouse Genome Database (MGD)
  • >5600 findings from the Online Mendelian Inheritance in Man (OMIM)
  • >2200 Gene Ontology findings
  • >3600 drug-to-disease findings from ClinicalTrials.gov
  • >3900 target-to-disease findings from ClinicalTrials.gov
  • 273 newly mappable chemicals