Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

EndoNet

General information

URL: http://endonet.bioinf.med.uni-goettingen.de/
Full name: EndoNet
Description: 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.
Year founded: 2006
Last update:
Version:
Accessibility:
Accessible
Country/Region: Germany

Classification & Tag

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Keywords:

Contact information

University/Institution: University of Goettingen
Address: Wilhelmsplatz 1, 37073 Goettingen, Germany
City: Göttingen
Province/State:
Country/Region: Germany
Contact name (PI/Team): Anatolij P. Potapov
Contact email (PI/Helpdesk): apo@bioinf.med.uni-goettingen.de

Publications

18045786
EndoNet: an information resource about regulatory networks of cell-to-cell communication. [PMID: 18045786]
Dönitz J, Goemann B, Lizé M, Michael H, Sasse N, Wingender E, Potapov AP.

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/.

Nucleic Acids Res. 2008:36(Database issue) | 7 Citations (from Europe PMC, 2025-12-13)
16381928
EndoNet: an information resource about endocrine networks. [PMID: 16381928]
Potapov A, Liebich I, Dönitz J, Schwarzer K, Sasse N, Schoeps T, Crass T, Wingender E.

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/.

Nucleic Acids Res. 2006:34(Database issue) | 9 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5590/6895 (18.941%)
Expression:
1127/1347 (16.407%)
Interaction:
1019/1194 (14.74%)
5590
Total Rank
16
Citations
0.842
z-index

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Record metadata

Created on: 2015-07-29
Curated by:
Jian Sang [2016-04-16]
Jian Sang [2016-04-04]
Mengwei Li [2016-02-20]
Jian Sang [2015-12-11]