PubMed: 17293005

Title
Effects of peptides derived from BACE1 catalytic domain on APP processing.
Journal
Peptides
Volume
28
Issue
None
Pages
838-44
Date
2007-04-01
Authors
Kim TY | Jeon YJ | Yeon SW | Hwang EM

Evidence 45b9626577

BI-3 also potentially inhibited the release of sAPPb (IC50 = 0.5 mM) and sAPPa (IC50 = 3.4 mM, Figs. 2B and 3B). BI- 4, which is short peptide of BI-3, showed no effects on sAPP secretion.

Evidence af0f15e35e

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.

Evidence 59be7650a0

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.

Evidence 2e166c248f

Neither, BI-1 nor, BI-3, nor any of the other peptides used in this study, induced any changes of full-length APP levels. They also did not affect the level of b-actin.

Evidence 4146d1250d

These results suggest that BACE1 derived peptides do not directly inhibit BACE activities in vitro when the fluorogenic peptides are used as a substrate.

Evidence 2a70af4b48

BI-1 treatment effectively reduced Ab 40 levels (IC50 = 0.06 mM) in the conditioned medium. BI-3 also inhibited Ab 40 production (IC50 = 0.2 mM), although the effective concentrations were relatively high compared to those of BI-1.

Evidence 762093e177

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

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.