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Appears in Networks 1

In-Edges 2

p(HBP:"Tau isoform F (441 aa)", var("p.Ile277Pro"), var("p.Ile308Pro"), var("p.Lys280del")) increases a(MESH:"Stem Cells") View Subject | View Object

However, in case of the anti-aggregant TauRDΔKPP slices there was a remarkable 30% increase in the number of BrdU positive cells in the CA1 and CA3 regions and almost 100% increase in DG (Fig. 6b, bar 2, 5, and 8) PubMed:29202785

p(HBP:"Tau isoform F (441 aa)", var("p.Lys280del")) causesNoChange a(MESH:"Stem Cells") View Subject | View Object

This was in striking contrast to the pro-aggregant TauRDΔK slices where there was no significant difference in the number of BrdU positive cells compared to the age matched controls (Fig. 6b, bar 3, 6, and 9) PubMed:29202785

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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.