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PubMed:27522251

Similarly, in the NOR task (15 months p.i.), both the GFP-beta2 and the APP-beta2 displayed higher exploration of the novel object (p < 0.0001 and p = 0.0001, respectively; Fig. 4C and D), with no differences between the 2 groups in the recognition index (p = 0.7; Fig. 4E), meaning that beta2 mice injected with hAPP-SLA did not exhibit the recognition memory deficit observed in APP-WT

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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.