HCSD: the human cancer secretome database

Amir Feizi, Amir Banaei-Esfahani, Jens Nielsen

Research output: Contribution to journalJournal articleResearchpeer-review

800 Downloads (Pure)

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.
Original languageEnglish
Article numberbav051
JournalDatabase: The Journal of Biological Databases and Curation
Volume2015
Number of pages8
ISSN1758-0463
DOIs
Publication statusPublished - 2015

Bibliographical note

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Fingerprint

Dive into the research topics of 'HCSD: the human cancer secretome database'. Together they form a unique fingerprint.

Cite this