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p(MGI:Adora1)

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Entity

Name
Adora1
Namespace
mgi
Namespace Version
20181021
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/f2f993e599694ab5ce989cc39d789a499f75db99/external/mgi-names.belns

Appears in Networks 1

Adenosine A1 receptor antagonist 64627 alleviates axonopathy caused by human Tau ΔK280 v1.0.0

In-Edges 2

a(CHEBI:adenosine) increases act(p(MGI:Adora1)) View Subject | View Object

Adenosine downmodulates neuronal activity (cFos levels), impairs the presynapse, and attenuates long-term potentiation (LTP) via the A1 receptor (21) PubMed:27671637

Appears in Networks:

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

Appears in Networks:

Out-Edges 3

act(p(MGI:Adora1)) decreases act(a(MESH:Neurons)) View Subject | View Object

Adenosine downmodulates neuronal activity (cFos levels), impairs the presynapse, and attenuates long-term potentiation (LTP) via the A1 receptor (21) PubMed:27671637

Appears in Networks:

act(p(MGI:Adora1)) decreases act(a(GO:presynapse)) View Subject | View Object

Adenosine downmodulates neuronal activity (cFos levels), impairs the presynapse, and attenuates long-term potentiation (LTP) via the A1 receptor (21) PubMed:27671637

Appears in Networks:

act(p(MGI:Adora1)) decreases bp(GO:"long-term synaptic potentiation") View Subject | View Object

Adenosine downmodulates neuronal activity (cFos levels), impairs the presynapse, and attenuates long-term potentiation (LTP) via the A1 receptor (21) PubMed:27671637

Appears in Networks:

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.