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. Read more...
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
BioMart 0.9
PED has been updated to BioMart version 0.9.
Ensembl release 90
PED annotation has been updated to Ensembl Release 90 (August 2017).
New PED release published
The new PED release has been recently published in Nucleic Acids Research (Database issue)
Analytics features
An open-access set of analytics features for exploratory analyses of publicaly available pancreatic cancer multi-omics data has been released!
Publications
For a general citation of PED, please use:
Marzec J., Dayem Ullah AZ., PirrĂ² S., Gadaleta E., Crnogorac-Jurcevic T., Lemoine NR., Kocher HM., Chelala C. The Pancreatic Expression Database: 2018 update. Nucleic Acids Research (Database Issue), 2018; 46(D1):D1107-10 PDF
Previous publications:
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:D944-9 PDF
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
Ensembl Annotations
Quick Search
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 repositry 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.
The analytics feature is available here.
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 repositry 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.

The analytics feature is available here.