Pancreatic Expression Database (PED)

Pancreatic Expression Database (PED) provides a repository of pancreatic-derived transcriptomics, proteomics, genomics, and miRNA -omics data to support integrative pancreatic cancer research.

Key Features:

• Data scope: Collection of pancreatic-derived transcriptomics, proteomics, genomics, and miRNA profiles.
• Data volume: Hosts over 60,000 measurements derived from pancreas-centered reports.
• Architecture: Built on the BioMart infrastructure (version 0.7).
• BioMart integration: Integrates with BioMart-compliant resources including Ensembl and Reactome.
• Cross-database queries: Supports integrative queries combining PED -omics datasets with annotations and experimental conditions from NCBI and UniProt.
• Clinical and annotation data: Provides detailed experimental annotations and clinical information linked to -omics measurements.
• Consortium linkage: Integrated with the International Cancer Genome Consortium (ICGC) data portal.

Scientific Applications:

• Pancreatic cancer research: Mining multidimensional pancreatic cancer -omics data for hypothesis generation and validation.
• Biomarker and target discovery: Facilitating identification of novel biomarkers and therapeutic targets from integrated genomic, transcriptomic, proteomic, and miRNA data.
• Integrative functional analysis: Enabling combination of PED data with Ensembl, Reactome, NCBI, and UniProt annotations for functional interpretation.
• Literature-derived data integration: Aggregating and integrating complex datasets extracted from pancreas-focused reports.

Methodology:

Built on BioMart infrastructure (version 0.7) and supports integrative queries; integrates PED datasets with BioMart-compliant resources such as Ensembl and Reactome and with NCBI, UniProt, and the ICGC data portal.