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EndoNet: an information resource about endocrine networks
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 spa...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347483/ https://www.ncbi.nlm.nih.gov/pubmed/16381928 http://dx.doi.org/10.1093/nar/gkj121 |
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author | Potapov, Anatolij Liebich, Ines Dönitz, Jürgen Schwarzer, Knut Sasse, Nicole Schoeps, Torsten Crass, Torsten Wingender, Edgar |
author_facet | Potapov, Anatolij Liebich, Ines Dönitz, Jürgen Schwarzer, Knut Sasse, Nicole Schoeps, Torsten Crass, Torsten Wingender, Edgar |
author_sort | Potapov, Anatolij |
collection | PubMed |
description | 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 . |
format | Text |
id | pubmed-1347483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-13474832006-01-25 EndoNet: an information resource about endocrine networks Potapov, Anatolij Liebich, Ines Dönitz, Jürgen Schwarzer, Knut Sasse, Nicole Schoeps, Torsten Crass, Torsten Wingender, Edgar Nucleic Acids Res Article 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 . Oxford University Press 2006-01-01 2005-12-28 /pmc/articles/PMC1347483/ /pubmed/16381928 http://dx.doi.org/10.1093/nar/gkj121 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Potapov, Anatolij Liebich, Ines Dönitz, Jürgen Schwarzer, Knut Sasse, Nicole Schoeps, Torsten Crass, Torsten Wingender, Edgar EndoNet: an information resource about endocrine networks |
title | EndoNet: an information resource about endocrine networks |
title_full | EndoNet: an information resource about endocrine networks |
title_fullStr | EndoNet: an information resource about endocrine networks |
title_full_unstemmed | EndoNet: an information resource about endocrine networks |
title_short | EndoNet: an information resource about endocrine networks |
title_sort | endonet: an information resource about endocrine networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347483/ https://www.ncbi.nlm.nih.gov/pubmed/16381928 http://dx.doi.org/10.1093/nar/gkj121 |
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