ArticleNucleic acids research2006
EndoNet: an information resource about endocrine networks.
Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Growth hormone and bone: a basic perspective.Pituitary · 2024Review
- Bioinformatics approaches for studying molecular sex differences in complex diseases.Briefings in bioinformatics · 2024Review
- EndoNet: an information resource about the intercellular signaling network.BMC systems biology · 2014Article
- A network model of genomic hormone interactions underlying dementia and its translational validation through serendipitous off-target effect.Journal of translational medicine · 2013Article
- Hmrbase: a database of hormones and their receptors.BMC genomics · 2009Article
- EndoNet: an information resource about regulatory networks of cell-to-cell communication.Nucleic acids research · 2008Article
- Molecular genetics of human growth hormone, insulin-like growth factors and their pathways in common disease.Human genetics · 2007Review
- Synthetic ecosystems based on airborne inter- and intrakingdom communication.Proceedings of the National Academy of Sciences of the United States of America · 2007Article
- Integrative content-driven concepts for bioinformatics "beyond the cell".Journal of biosciences · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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/.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.