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Appears in Networks 1

In-Edges 2

p(HGNC:APP) increases act(p(HGNC:WNT3A)) View Subject | View Object

APP did though potentiate both Wnt3a-driven Wnt-β-catenin signalling and Wnt5a-driven Wnt-PCP signalling. PubMed:30232325

act(p(HGNC:DKK1)) decreases act(p(HGNC:WNT3A)) View Subject | View Object

Overexpression of APP enhanced the inhibitory effects of Dkk1 on Wnt3a induced Wnt-β-catenin signalling, counteracting the enhanced activity resulting from APP overexpression and reducing the IC50 of Dkk1 to 122ng/mL from 173ng/mL in the absence of APP (Fig. 2f) . PubMed:30232325

Out-Edges 4

act(p(HGNC:WNT3A)) increases bp(GO:"canonical Wnt signaling pathway") View Subject | View Object

APP did though potentiate both Wnt3a-driven Wnt-β-catenin signalling and Wnt5a-driven Wnt-PCP signalling. PubMed:30232325

act(p(HGNC:WNT3A)) increases bp(GO:"canonical Wnt signaling pathway") View Subject | View Object

Overexpression of APP enhanced the inhibitory effects of Dkk1 on Wnt3a induced Wnt-β-catenin signalling, counteracting the enhanced activity resulting from APP overexpression and reducing the IC50 of Dkk1 to 122ng/mL from 173ng/mL in the absence of APP (Fig. 2f) . PubMed:30232325

act(p(HGNC:WNT3A)) decreases a(CHEBI:"amyloid-beta") View Subject | View Object

In cells expressing either wild-type or Swedish APP, the amount of Aβ produced was reduced in cells stimulated with Wnt3a, which promotes Wnt-βcatenin signalling, whereas Aβ production was enhanced in cells stimulated with Wnt5a, which promotes Wnt-PCP signalling (Fig. 2c). PubMed:30232325

act(p(HGNC:WNT3A)) increases a(CHEBI:"amyloid-beta") View Subject | View Object

In cells expressing either wild-type or Swedish APP, the amount of Aβ produced was reduced in cells stimulated with Wnt3a, which promotes Wnt-βcatenin signalling, whereas Aβ production was enhanced in cells stimulated with Wnt5a, which promotes Wnt-PCP signalling (Fig. 2c). PubMed:30232325

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.