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Appears in Networks 3

In-Edges 3

a(CHEBI:"nicotinic acetylcholine receptor agonist") increases sec(a(CHEBI:noradrenaline)) View Subject | View Object

Exogenously applied nicotinic agonists enhance and nicotinic antagonists often diminish the release of ACh, dopamine (DA), norepinephrine, and serotonin, as well as glutamate and GABA. PubMed:17009926

a(CHEBI:"nicotinic antagonist") decreases sec(a(CHEBI:noradrenaline)) View Subject | View Object

Exogenously applied nicotinic agonists enhance and nicotinic antagonists often diminish the release of ACh, dopamine (DA), norepinephrine, and serotonin, as well as glutamate and GABA. PubMed:17009926

a(CHEBI:"calcium(2+)") increases tloc(a(CHEBI:noradrenaline), fromLoc(GO:intracellular), toLoc(GO:"extracellular region")) View Subject | View Object

Stimulation of nicotinic receptors present at the CNS presynaptic neuronal membrane leads to an increase in presynaptic Ca2+ concentration, which may facilitate the release of a number of neurotransmitters, such as glutamate, GABA, dopamine, serotonin, norepinephrine, as well as ACh PubMed:26813123

Out-Edges 1

a(CHEBI:noradrenaline) increases p(HGNC:SUMO1) View Subject | View Object

Noradrenaline (NA) attenuated the LPS-induced reductions and increased SUMO-1 above basal levels. Over-expression of SUMO-1, Ubc9, or SENP1 reduced the activation of a NOS2 promoter, whereas activation of a 4 x NFkappaB binding-element reporter was only reduced by SUMO-1. ChIP studies revealed interactions of SUMO-1 and C/EBPbeta with C/EBP binding sites on the NOS2 promoter that were modulated by LPS and NA. SUMO-1 co-precipitated with C/EBPbeta confirmed by FRET analysis PubMed:19323834

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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.