title: HCSD: the human cancer secretome database.
abstract: The human cancer secretome database (HCSD) is a comprehensive database for human cancer secretome data. The cancer secretome describes proteins secreted by cancer cells and structuring information about the cancer secretome will enable further analysis of how this is related with tumor biology. The secreted proteins from cancer cells are believed to play a deterministic role in cancer progression and therefore may be the key to find novel therapeutic targets and biomarkers for many cancers. Consequently, huge data on cancer secretome have been generated in recent years and the lack of a coherent database is limiting the ability to query the increasing community knowledge. We therefore developed the Human Cancer Secretome Database (HCSD) to fulfil this gap. HCSD contains >80 000 measurements for about 7000 nonredundant human proteins collected from up to 35 high-throughput studies on 17 cancer types. It has a simple and user friendly query system for basic and advanced search based on gene name, cancer type and data type as the three main query options. The results are visualized in an explicit and interactive manner. An example of a result page includes annotations, cross references, cancer secretome data and secretory features for each identified protein.
authors.affiliation: Novo Nordisk Foundation Center for Biosustainability, Department of Biology and Biological Engineering, Chalmers University of Technology, SE-41296 Göteborg, Sweden, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Fremtidsvej 3, DK-2970 Hørsholm, Denmark and Novozymes A/S, Krogshoejvej 36, 2880 Bagsvaerd, Denmark Novo Nordisk Foundation Center for Biosustainability, Department of Biology and Biological Engineering, Chalmers University of Technology, SE-41296 Göteborg, Sweden, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Fremtidsvej 3, DK-2970 Hørsholm, Denmark and Novozymes A/S, Krogshoejvej 36, 2880 Bagsvaerd, Denmark.
authors.forename: Amir
authors.initials: A
authors.lastname: Feizi
authors.affiliation: Novo Nordisk Foundation Center for Biosustainability, Department of Biology and Biological Engineering, Chalmers University of Technology, SE-41296 Göteborg, Sweden, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Fremtidsvej 3, DK-2970 Hørsholm, Denmark and Novozymes A/S, Krogshoejvej 36, 2880 Bagsvaerd, Denmark.
authors.forename: Amir
authors.initials: A
authors.lastname: Banaei-Esfahani
authors.affiliation: Novo Nordisk Foundation Center for Biosustainability, Department of Biology and Biological Engineering, Chalmers University of Technology, SE-41296 Göteborg, Sweden, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Fremtidsvej 3, DK-2970 Hørsholm, Denmark and Novozymes A/S, Krogshoejvej 36, 2880 Bagsvaerd, Denmark Novo Nordisk Foundation Center for Biosustainability, Department of Biology and Biological Engineering, Chalmers University of Technology, SE-41296 Göteborg, Sweden, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Fremtidsvej 3, DK-2970 Hørsholm, Denmark and Novozymes A/S, Krogshoejvej 36, 2880 Bagsvaerd, Denmark Novo Nordisk Foundation Center for Biosustainability, Department of Biology and Biological Engineering, Chalmers University of Technology, SE-41296 Göteborg, Sweden, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Fremtidsvej 3, DK-2970 Hørsholm, Denmark and Novozymes A/S, Krogshoejvej 36, 2880 Bagsvaerd, Denmark nielsenj@chalmers.se.
authors.forename: Jens
authors.initials: J
authors.lastname: Nielsen
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics / Q000378:metabolism; D030562:Databases, Protein; D006801:Humans; D009363:Neoplasm Proteins / Q000235:genetics / Q000378:metabolism; D009369:Neoplasms / Q000235:genetics / Q000378:metabolism
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins