Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

HCSD

General information

URL: http://www.cancersecretome.org/home
Full name: Human Cancer Secretome Database
Description: The human cancer secretome database (HCSD) is a comprehensive database for human cancer secretome data.
Year founded: 2015
Last update: 2015-05-14
Version: v1.0
Accessibility:
Accessible
Country/Region: Sweden

Classification & Tag

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Contact information

University/Institution: Chalmers University of Technology
Address: Kemivän 10, SE-412 96 Goteborg, Sweden
City: Goteborg
Province/State:
Country/Region: Sweden
Contact name (PI/Team): Jens Nielsen
Contact email (PI/Helpdesk): nielsenj@chalmers.se

Publications

26078477
HCSD: the human cancer secretome database. [PMID: 26078477]
Feizi A, Banaei-Esfahani A, Nielsen J.

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. © The Author(s) 2015. Published by Oxford University Press.

Database (Oxford). 2015:2015() | 25 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
3737/6895 (45.816%)
Health and medicine:
936/1738 (46.203%)
3737
Total Rank
24
Citations
2.4
z-index

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Record metadata

Created on: 2016-01-15
Curated by:
Chunlei Yu [2016-04-17]
Lina Ma [2016-04-08]