composite(p(MGI:App, var("p.Lys670Asn"), var("p.Met671Leu"), var("p.Thr714Ile"), var("p.Val717Ile")), p(MGI:Chrna7))
At 7 months p.i., both GFP-alpha7 (p = 0.9; Fig. 5A) and APP-alpha7 groups (p = 0.3; Fig. 5B) displayed a memory deficit in the NPR task. PubMed:27522251
The analysis of the total exploration time during the NOR task showed that GFP-alpha7 spent similar time exploring the familiar and the novel objects (p = 0.76; Fig. 5D), whereas APP-alpha7 spent significantly more time exploring the novel object compared with the familiar one (p = 0.01; Fig. 5E) PubMed:27522251
In the NOR task (15 months p.i.) as well, both GFP-alpha7 and APP-alpha7 displayed a cognitive impairment (Fig. 5DeE) PubMed:27522251
Immunofluorescence performed with VHH 31-1 on brain slices of APP-alpha7 mice also showed intracellular Abeta oligomers in the polymorphic layer (Fig. 8, arrows), whereas GFP-alpha7 mice did not show any Abeta oligomers PubMed:27522251
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.