Name
Synaptic Vesicles
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 4

p(HGNC:SLC5A7) increases a(CHEBI:acetylcholine) View Subject | View Object

It is possible that the presence of CHT1 in the membrane of synaptic vesicles and the consequent increase in CHT1 relocation to the plasma membrane following neuronal depolarization could explain why an increase in neuronal firing promotes increased choline reuptake and, thus, ACh synthesis PubMed:26813123

bp(GO:"action potential initiation") increases a(CHEBI:acetylcholine) View Subject | View Object

It is possible that the presence of CHT1 in the membrane of synaptic vesicles and the consequent increase in CHT1 relocation to the plasma membrane following neuronal depolarization could explain why an increase in neuronal firing promotes increased choline reuptake and, thus, ACh synthesis PubMed:26813123

p(HGNC:SLC5A7) increases tloc(a(CHEBI:choline), fromLoc(GO:"synaptic cleft"), toLoc(MESH:"Cholinergic Neurons")) View Subject | View Object

It is possible that the presence of CHT1 in the membrane of synaptic vesicles and the consequent increase in CHT1 relocation to the plasma membrane following neuronal depolarization could explain why an increase in neuronal firing promotes increased choline reuptake and, thus, ACh synthesis PubMed:26813123

bp(GO:"action potential initiation") increases tloc(a(CHEBI:choline), fromLoc(GO:"synaptic cleft"), toLoc(MESH:"Cholinergic Neurons")) View Subject | View Object

It is possible that the presence of CHT1 in the membrane of synaptic vesicles and the consequent increase in CHT1 relocation to the plasma membrane following neuronal depolarization could explain why an increase in neuronal firing promotes increased choline reuptake and, thus, ACh synthesis PubMed:26813123

About

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.