Interferome v2.0: an updated database of annotated interferon-regulated genes

Area of Science:

• Immunology and Molecular Biology
• Bioinformatics and Computational Biology

Background:

• Interferons (IFNs) are critical for innate immunity against infections, inflammation, and cancer.
• Previous versions of Interferome DB provided valuable data but required updates for enhanced functionality.
• The need for a comprehensive, user-friendly database for IFN-regulated gene expression data is significant.

Purpose of the Study:

• To introduce Interferome v2.0, an upgraded version of the Interferome database.
• To provide an enhanced platform for querying and analyzing interferon-regulated gene expression data.
• To support research into the role of IFNs in various diseases.

Main Methods:

• Vastly improved computational infrastructure for faster and more complex queries.
• Inclusion of data from type I, II, and III IFN-treated cells, mice, and humans.
• Standardized, quantitative, and statistical analyses of MIAME-compliant data.
• Comprehensive manual metadata collection for flexible searching (e.g., fold change, IFN type, concentration, time, cell/tissue type).

Main Results:

• Interferome v2.0 supports more extensive data sets and complex queries.
• The database allows for detailed searches based on multiple parameters.
• Users can perform secondary analyses like gene ontology and generate expression plots.
• Data can be downloaded in formats compatible with common analysis programs.

Conclusions:

• Interferome v2.0 offers significantly improved computational infrastructure and data handling capabilities.
• The enhanced search and analysis features facilitate the identification of gene signatures.
• This resource is invaluable for understanding IFN roles in infectious diseases, inflammatory conditions, and cancer pathogenesis.