Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
non-canonical Wnt signaling pathway
Namespace
go
Namespace Version
20180828
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/1b20f0637c395f8aa89c2e2e342d7b704062c242/external/go-names.belns

Appears in Networks 2

In-Edges 3

p(HGNC:APP) increases bp(GO:"non-canonical Wnt signaling pathway") View Subject | View Object

In contrast with wild-type APP which, as before, potentiated both canonical and non-canonical Wnt signalling, the Swedish mutant form of APP antagonised canonical Wnt signalling (Fig. 2a), and potentiated non-canonical Wnt signalling to a greater degree than wild-type APP (APPWT) (Fig. 2b). PubMed:30232325

p(HGNC:APP, var("p.Lys670Asn"), var("p.Met671Leu")) increases bp(GO:"non-canonical Wnt signaling pathway") View Subject | View Object

In contrast with wild-type APP which, as before, potentiated both canonical and non-canonical Wnt signalling, the Swedish mutant form of APP antagonised canonical Wnt signalling (Fig. 2a), and potentiated non-canonical Wnt signalling to a greater degree than wild-type APP (APPWT) (Fig. 2b). PubMed:30232325

a(CHEBI:methamphetamine) increases bp(GO:"non-canonical Wnt signaling pathway") View Subject | View Object

As detailed in the following paragraph, METH exerts disruptive effects on DA neurotransmission, which translate into abnormal stimulation of post-synaptic DA receptors, mainly D1-type DA receptors (D1R), thus leading to non-canonical signaling cascades sustaining behavioral alterations that overlap with schizophrenia-like symptoms (i.e., visual and auditory hallucinations and delusions) PubMed:30061532

Out-Edges 0

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.