New dbSNP and miRNA features allow you to understand functional implications of SNP and miRNA studies

• Easily upload and map significant SNPs to genes in the Ingenuity Knowledge Base
• Upload a miRNA dataset or search for genes with Sanger Ids (miRBase)
• Understand how SNPs and changes in transcript, miRNA, and protein levels might explain observed phenotypes or physiological responses
• Anchor diverse datasets onto the pathways, diseases, cellular process, and molecular interactions most relevant to those genes or the mRNAs they target

Updated mapping, comparison, and utilization of datasets for powerful hypothesis generation

• Easily view any molecular experimental data in the context of biological pathways in IPA
• Quickly upload and compare proprietary datasets to public data available from sources such as GEO
• Apply contextual filters to mapped data sets to identify genes or proteins of interest prior to analysis
• Easily compare functional implications of multiple datasets with enhanced comparison tools:
  • Compare datasets directly without running an analysis first
  • Compare changes at the DNA (SNPs), RNA (mRNA, miRNA) and protein level
  • Leverage findings from multiple lines of evidence to better identify common pathways or molecular mechanisms at the core of your experimental model
  • Flexibility in choosing which analyses to compare within IPA

Additional Path Designer tools: species-specific nomenclature and custom legend

• Species-specific nomenclature
  • Simple toggle changes gene names to more familiar species-specific gene names
  • Increased clarity and recognition of pathway members
• Customizable legend
  • Specify custom node shapes and colors
  • Useful for grouping disease states, up- vs. down-regulation of genes, functional families, and more
• Improved functionality increases speed and utility of Path Designer
  
  

Ability to create custom pathway libraries via SBML pathway import (beta)

• Use your pathways in standard IPA workflows such as core analysis and Path Designer
• Use IPA as a collaboration tool for developing and leveraging internally created pathways
• Molecules and relationships (in SBML pathways) are mapped to Ingenuity Knowledge Base findings

Additional disease-focused content

• Over 18,500 SNP–based, gene-to-disease associations, involving:
  • 5,500 genes, 43 diseases, 16,000 distinct SNPs
  • Includes details on allelic variation
• 46 New Signaling Pathways
  • 21 disease-specific pathways (oncology, metabolic, immune disorders)
  • 25 pathways relating to signaling events (cell cycle regulation, stem cell biology, reproductive biology, renal & gastrointestinal biology, growth factor/cytokine signaling)
• Updated molecular interaction content from MINT, BIOGRID, and INTACT
• Additional Huntington’s disease content

Learn more about how IPA helps in disease research by clicking here.
Full release notes are available in the help section of IPA.

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