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Entity

Name
64627
Namespace
PUBCHEM
Namespace Version
None
Pattern
^\d+$

Appears in Networks 1

In-Edges 2

Out-Edges 5

a(PUBCHEM:64627) decreases act(p(MGI:Adora1)) View Subject | View Object

64627 increases neuronal activity (Fos mRNA) both in proaggregant Tau transgenic slices and controls, although in case of the proaggregant slices neuronal activity is almost doubled, yielding levels similar to those of treated littermate control slices (Fig. 4D) PubMed:27671637

a(PUBCHEM:64627) increases act(a(MESH:Neurons)) View Subject | View Object

64627 increases neuronal activity (Fos mRNA) both in proaggregant Tau transgenic slices and controls, although in case of the proaggregant slices neuronal activity is almost doubled, yielding levels similar to those of treated littermate control slices (Fig. 4D) PubMed:27671637

a(PUBCHEM:64627) increases act(a(GO:presynapse)) View Subject | View Object

In line with these observations, the presynaptic impairment in proaggregant Tau transgenic slices can be reversed by 64627 or BSc3094 without causing adverse effects in controls (Fig. 4F and Fig. S6) PubMed:27671637

a(PUBCHEM:64627) increases a(GO:"dendritic spine") View Subject | View Object

Indeed, the reduced level of spines seen in proaggregant Tau transgenic slices are normalized when treated with 64627, whereas no significant changes are found in antiaggregant Tau transgenic slices or littermate controls (Fig. 5 A and B) PubMed:27671637

a(PUBCHEM:64627) decreases a(MESH:Axons) View Subject | View Object

The axonal density of mitochondria, which is slightly lower in proaggregant compared with antiaggregant Tau transgenic slices, is marginally decreased by 64627 treatment albeit in a genotype-independent manner (Fig. S7) 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.