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Ganglia

Name
Ganglia
Namespace Keyword
MeSHAnatomy
Namespace
MeSH
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/mesh-anatomy/mesh-anatomy-20170511.belanno

Sample Annotated Edges 2

complex(a(CHEBI:"Anatoxin a"), p(HGNCGENEFAMILY:"Cholinergic receptors nicotinic subunits")) increases act(p(HGNCGENEFAMILY:"Cholinergic receptors nicotinic subunits")) View Subject | View Object

In addition to nicotine, an nAChR agonist of considerable commercial importance is anatoxin-a (Fig. 3). This toxin is a product of the blue-green algae, Anabaena, and can reach high concentrations during algal blooms common to ponds that serve as the summer water source of livestock. While this toxin exerts much of its effect through targeting muscle nAChRs, it was recognized over two decades ago to also interact with nAChRs expressed by ganglionic receptors (38). Its ability to activate in central nervous system (CNS) neurons nicotinic currents sensitive to alpha-BGT was among the first indicators that functional alpha7 nAChRs could be distinguished from other nAChRs in neurons of the mammalian brain (38). PubMed:19126755

Appears in Networks:
Annotations
MeSH
Central Nervous System
MeSH
Ganglia
MeSH
Muscles
Text Location
Review

complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNG)) increases p(FPLX:CHRN) View Subject | View Object

Cholinergic nicotinic receptors expressed in muscle and ganglia are comprised of two α subunits plus each of the other three PubMed:26813123

Appears in Networks:
Annotations
MeSH
Ganglia
MeSH
Muscles

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BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.