PubMed 17293005

BI-1 treatment dose-dependently inhibited the release of both sAPPa and sAPPb in the conditioned medium (Figs. 2A and 3A). The 50% inhibitory concentrations (IC50) of BI-1 were about 1.5 mM for sAPPa and 0.9 mM for APPb, respectively. But BI-2, which is mainly composed of the core region BACE1 69–73, did not show the inhibitory effects

BEL
p(HGNC:BACE1, frag("67_78")) decreases sec(a(HBP:"sAPP-alpha"))
Hash
cc34cdb66c
Networks

PubMed 17293005

Surprisingly, BI-1 treatment resulted in a drastic, dose-dependent increase in the level of intracellular APPa (Figs. 2A and 3A). BI-3 also induced the accumulation of intracellular APPa until the concentration of BI-3 was raised to 12.5 mM; however, treatment of BI-3 with 25 mM decreased the level of intracellular APPa.

BEL
p(HGNC:BACE1, frag("67_78")) increases a(HBP:"sAPP-alpha", loc(GO:intracellular))
Hash
dfd3cc3be2
Networks

PubMed 17293005

Taken together, these results show that BI-1 and BI-3 not only selectively reduce the level of APPbeta but also lead to the accumulation of APPalpha in cells with no change of full-length APP level.

BEL
p(HGNC:BACE1, frag("67_78")) increases a(HBP:"sAPP-alpha")
Hash
83149e5031
Networks

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.