About PED

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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Data Summary

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 External Databases provide annotations from several public resources,
such as Ensembl Genes / Variation / Regulation, InterPro and PRIDE,
enabling the integration and annotation of heterogeneous pancreatic data.
    

News

Publications

For a general citation of PED, please use:

Dayem Ullah AZ., Cutts RJ., Ghetia M., Gadaleta E., Hahn SA., Crnogorac-Jurcevic T., Lemoine NR., Chelala C. The pancreatic expression database: recent extensions and updates. Nucleic Acids Research (Database Issue), 2014; 42(D1): D944-9 PDF


Previous publications:

Cutts RJ., Gadaleta E., Hahn SA., Crnogorac-Jurcevic T., Lemoine NR., Chelala C. The Pancreatic Expression database: 2011 update. Nucleic Acids Research (Database Issue), 2011; 39:D1023-8 PDF

Chelala C., Hahn SA., Whiteman HJ., Barry S., Hariharan D., Radon TP., Lemoine NR., Crnogorac-Jurcevic T. Pancreatic Expression database: a generic model for the organization, integration and mining of complex cancer datasets. BMC Genomics, 2007; 8:439 PDF

Literature database

External databases

Quick Search

Examples: ANXA1, hsa-miR-187, ENSG00000182718, ENSP00000387545, IGKC_HUMAN
Available format: HGNC, miRBase accession, Ensembl gene/transcript/protein, SwissProt accession

Analytics

Researchers now have access to a new analytics features developed to conduct transcriptomic, genomic and mutational analyses using publicly available data. This includes data obtained from ArrayExpress, Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA) and the Cancer Cell Line Encyclopedia (CCLE). Exploratory analyses of molecular profiles generated through International Cancer Genome Consortium (ICGC) and Genomics Evidence Neoplasia Information Exchange (GENIE) will be available soon.

Eventually, this analytics as well as the literature mining features will be interoperable with the Pancreatic Cancer Research Fund (PCRF) Tissue Bank. It will serve as a repository for mining projects that have requested tissues from the Tissue Bank and will provide tools for customised queries and interactive analyses of the returned multi-omics data and associated clinical/experimental information. This will ensure that the PCRF Tissue Bank-derived and publicaly available pancreatic cancer data are used to their full potential.

PCRFTB data portal

The analytics feature is available here.