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Appears in Networks 1

In-Edges 2

composite(a(PUBCHEM:64627), p(HBP:"Tau isoform F (441 aa)", var("p.Lys280del"))) increases p(MGI:Fos) View Subject | View Object

Having observed that 64627 restores presynaptic functioning (i.e., PPF, Fig. 4F), neuronal activity (induction of Fos, Fig. 4D), and dendritic spine levels in proaggregant Tau transgenic organotypic slices (Fig. 5 A and B), we tested whether we could restore long-term spatial memory in proaggregant Tau transgenic mice as well PubMed:27671637

p(HBP:"Tau isoform F (441 aa)", var("p.Lys280del")) negativeCorrelation p(MGI:Fos) View Subject | View Object

Surprisingly, expression of neuronal activity marker cFos, astrocytic activity marker Gfap, and oxidative stress marker Hmox1 were reduced in the proaggregant Tau transgenic slices, whereas antiaggregant Tau transgenic slices were not different from littermate controls (Fig. 4A) PubMed:27671637

Out-Edges 2

p(MGI:Fos) negativeCorrelation p(HBP:"Tau isoform F (441 aa)", var("p.Lys280del")) View Subject | View Object

Surprisingly, expression of neuronal activity marker cFos, astrocytic activity marker Gfap, and oxidative stress marker Hmox1 were reduced in the proaggregant Tau transgenic slices, whereas antiaggregant Tau transgenic slices were not different from littermate controls (Fig. 4A) PubMed:27671637

p(MGI:Fos) biomarkerFor act(a(MESH:Neurons)) View Subject | View Object

Surprisingly, expression of neuronal activity marker cFos, astrocytic activity marker Gfap, and oxidative stress marker Hmox1 were reduced in the proaggregant Tau transgenic slices, whereas antiaggregant Tau transgenic slices were not different from littermate controls (Fig. 4A) PubMed:27671637

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.