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Appears in Networks 3

In-Edges 3

a(PUBCHEM:11249342) decreases p(HBP:"sAPP-alpha") View Subject | View Object

Specifically, Posiphen lowered sAPPa and sAPPb levels by 59.9% and 57.7%, respectively, assessed by the AlpaLisa assay, and by 34.1% and 34%, respectively, assessed by the MSD assay, in accordance with Posiphen’s proposed mechanism of action to inhibit APP expression. PubMed:22791904

a(CHEBI:Anatabine) causesNoChange sec(p(HBP:"sAPP-alpha")) View Subject | View Object

We then tested the impact of anatabine on sAPPα and sAPPβ production using 7W CHO cells and observed that anatabine inhibits sAPPβ secretion without impacting sAPPα suggesting that anatabine is preventing the β-cleavage of APP (Fig. 4). PubMed:21958873

Annotations
Experimental Factor Ontology (EFO)
CHO cell

a(CHEBI:nicotine) causesNoChange sec(p(HBP:"sAPP-alpha")) View Subject | View Object

Nicotine does not appear to affect sAPPβ and sAPPα secretion in 7W CHO contrary to anatabine (Fig. 4) PubMed:21958873

Annotations
Experimental Factor Ontology (EFO)
CHO cell

Out-Edges 2

p(HBP:"sAPP-alpha") increases act(complex(GO:"NF-kappaB complex")) View Subject | View Object

Physiological, pathophysiological, and biochemical stimuli known to induce proliferation of NPC via NF-κB activation include cerebral infarction [165], traumatic brain injury [166], reactive oxygen species [167], hypoxia [168-172], sAPPα [147], and sphingosine-1-phosphate [173] PubMed:28745240

p(HBP:"sAPP-alpha") increases bp(GO:neurogenesis) View Subject | View Object

Physiological, pathophysiological, and biochemical stimuli known to induce proliferation of NPC via NF-κB activation include cerebral infarction [165], traumatic brain injury [166], reactive oxygen species [167], hypoxia [168-172], sAPPα [147], and sphingosine-1-phosphate [173] PubMed:28745240

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.