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Nucleic Acids Research Advance Access originally published online on November 27, 2007
Nucleic Acids Research 2008 36(Database issue):D689-D694; doi:10.1093/nar/gkm940
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Nucleic Acids Research, 2008, Vol. 36, Database issue D689-D694
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

EndoNet: an information resource about regulatory networks of cell-to-cell communication{dagger}

Jürgen Dönitz1, Björn Goemann1, Muriel Lizé1, Holger Michael1, Nicole Sasse1, Edgar Wingender1,2 and Anatolij P. Potapov1,*

1Department of Bioinformatics, University of Göttingen/Medical School, D-37077 Göttingen and 2BIOBASE GmbH, D-38304 Wolfenbüttel, Germany

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

Received September 14, 2007. Revised October 8, 2007. Accepted October 11, 2007.

EndoNet is an information resource about intercellular regulatory communication. It provides information about hormones, hormone receptors, the sources (i.e. cells, tissues and organs) where the hormones are synthesized and secreted, and where the respective receptors are expressed. The database focuses on the regulatory relations between them. An elementary communication is displayed as a causal link from a cell that secretes a particular hormone to those cells which express the corresponding hormone receptor and respond to the hormone. Whenever expression, synthesis and/or secretion of another hormone are part of this response, it renders the corresponding cell an internal node of the resulting network. This intercellular communication network coordinates the function of different organs. Therefore, the database covers the hierarchy of cellular organization of tissues and organs as it has been modeled in the Cytomer ontology, which has now been directly embedded into EndoNet. The user can query the database; the results can be used to visualize the intercellular information flow. A newly implemented hormone classification enables to browse the database and may be used as alternative entry point. EndoNet is accessible at: http://endonet.bioinf.med.uni-goettingen.de/

{dagger}If the EndoNet database is used in any published research, the authors wish that this paper be cited.


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