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Nucleic Acids Research 2006 34(Database Issue):D540-D545; doi:10.1093/nar/gkj121
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Nucleic Acids Research, 2006, Vol. 34, Database issue D540-D545
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

EndoNet: an information resource about endocrine networks

Anatolij Potapov1,*, Ines Liebich1,2, Jürgen Dönitz1, Knut Schwarzer1, Nicole Sasse1, Torsten Schoeps1, Torsten Crass1 and Edgar Wingender1,2

1Department of Bioinformatics, University of Göttingen/Medical School Goldschmidtstrasse 1, D-37077 Göttingen, Germany 2BIOBASE GmbH Halchtersche Strasse 33, D-38304 Wolfenbüttel, Germany

*To whom correspondence should be addressed. Tel: +49 0 551 39 14917; Fax: +49 0 551 39 14914; Email: anatolij.potapov{at}bioinf.med.uni-goettingen.de

Received August 15, 2005. Revised October 20, 2005. Accepted October 20, 2005.

EndoNet is a new database that provides information about the components of endocrine networks and their relations. It focuses on the endocrine cell-to-cell communication and enables the analysis of intercellular regulatory pathways in humans. In the EndoNet data model, two classes of components span a bipartite directed graph. One class represents the hormones (in the broadest sense) secreted by defined donor cells. The other class consists of the acceptor or target cells expressing the corresponding hormone receptors. The identity and anatomical environment of cell types, tissues and organs is defined through references to the CYTOMER® ontology. With the EndoNet user interface, it is possible to query the database for hormones, receptors or tissues and to combine several items from different search rounds in one complex result set, from which a network can be reconstructed and visualized. For each entity, a detailed characteristics page is available. Some well-established endocrine pathways are offered as showcases in the form of predefined result sets. These sets can be used as a starting point for a more complex query or for obtaining a quick overview. The EndoNet database is accessible at http://endonet.bioinf.med.uni-goettingen.de/.


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