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Entity

Name
receptor signaling pathway via JAK-STAT
Namespace
go
Namespace Version
20181221
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/73688d6dc24e309fca59a1340dc9ee971e9f3baa/external/go-names.belns

Appears in Networks 1

albuquerque2009 v1.0.0

This file encodes the article Mammalian Nicotinic Acetylcholine Receptors: From Structure to Function by Albuquerque et al, 2009

In-Edges 1

act(p(HGNCGENEFAMILY:"Cholinergic receptors nicotinic subunits")) regulates bp(GO:"receptor signaling pathway via JAK-STAT") View Subject | View Object

Mechanistically, nicotine, acting through nAChRs, decreases keratinocyte migration (188, 189) and modifies the activity of PI3K/Akt, ERK, MEK, and JAK signaling pathways. PubMed:19126755

Appears in Networks:
Annotations
MeSH
Keratinocytes
Text Location
Review

Out-Edges 1

bp(GO:"receptor signaling pathway via JAK-STAT") increases act(a(CHEBI:nicotine)) View Subject | View Object

Recent studies have supported a role for ERK and CREB activity in neural plasticity associated with nicotine addiction (71, 381, 484). It has also been proposed that the ERK and JAK-2/STAT-3 signaling pathways contribute to the toxic effects of nicotine in skin cells (42), and other pathways contribute to the effects of nicotine and other nicotinic ligands on inflammatory responses as described below. PubMed:19126755

Appears in Networks:
Annotations
MeSH
Skin
Text Location
Review

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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.