The Pancreatic Expression Database (PED) is the main repository for
pancreatic-derived -omics data. It brings together the largest collection
of multidimensional pancreatic data from the literature including
transcriptomic, proteomic, methylomic, microRNA and genomic profiles.
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Available Data

The Literature database contains data of gene expression measurements
or differential expression and copy number alterations extracted from
published transcriptomics, proteomics, methylomics, miRNA, meta-analysis
or genomics studies (click here for the full list) of various pancreatic normal,
benign, precancerous and malignant tissues, body fluids, cell lines and
xenograft models under different treatment conditions.

Please see the user guide and examples of use for information on how
to perform a wide variety of complex queries on various types of data.


Pancreatic Expression Landscape

We conducted a comprehensive meta-analysis of pancreatic cancer
expression space by integrating data from otherwise disparate studies
(see publication in PubMed/PDF). Currently, it is the most comprehensive
analysis of pancreatic cancer to date. This study stresses the importance
of a global-systems approach to assess and maximise findings from
expression profiling of malignant and non-malignant diseases. The results
of this meta-analysis study are freely available and can be queried and
visualised here.


Annotations

The Ensembl Annotations section provides genes, variation and regulation
annotations from Ensembl, enabling detailed annotation of heterogeneous
pancreatic data.