Welcome to dbDEPC 2.0
a database of Differentially Expressed Proteins in Human Cancer

dbDEPC (database of Differentially Expressed Proteins in Human Cancer) is designed to store and display differentially expressed proteins (DEPs) in human cancers detected by mass spectrometry (MS) approach. The current version contains 4029 DEPs in 20 cancers, curated from 331 MS experiments in 219 peer-reviewed publications. 56% analysis focused on cancer vs. normal comparison, while others (9%, 11% and 24%) focused on cancer vs. cancer, metastasis study, treatment comparison, respectively. Proteins can be queried through the web-interface using protein name, accession number or sequence similarity, and also browsed by interested cancers or MS experiments. We provided multiple conditions to help you filter the various experiments down to your interested results. The retrieved protein pages contain basic protein description, DEP profiles across multiple caners in each analysis type, related MS experiments, low throughput validation assays and diverse annotations including protein function, sequence, gene ontology and involved pathway. For a set of proteins and multiple cancers, differential expression profile can be visualized in a heatmap to explore the difference and similarity between cancers. In addition, a protein association network is introduced to facilitate the discovery of DEPs associated with your query proteins. Furthermore, the change of protein expression of DEPs is probably relevant to important structural variation in the human genome, such as single amino acid alterations. So these variation sites were highlighted as especially related to development of human cancers. We try to make dbDEPC a continuingly growing resource to facilitate cancer proteomic research and contribute to biomarker discovery.

Citation:
Hong Li, Ying He, Guohui Ding, Chuan Wang, Lu Xie, and Yixue Li
"dbDEPC: A Database of Differentially Expressed Proteins in Human Cancer."
Nucleic Acids Research(Database Issue) 2009 [Full Text]

Publications citing our work:
  1. Chari, R. et al. Integrating the multiple dimensions of genomic and epigenomic landscapes of cancer. Cancer Metastasis Rev 29, 73-93 (2010).
  2. Yang, Z. et al. dbDEMC: a database of differentially expressed miRNAs in human cancers. BMC Genomics 11, S5 (2010).
  3. Dabbous, M.K., Margaret Jefferson, M., Haney, L. & Thomas, E.L. Biomarkers of metastatic potential in cultured adenocarcinoma clones. Clin Exp Metastasis 28, 101-111 (2010).

Version 2.0 posted on June 30, 2011