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dopaminergic cell groups

Name
dopaminergic cell groups
Namespace Keyword
Anatomy
Namespace
Uberon
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/anatomy/anatomy-20170511.belanno

Sample Annotated Edges 4

act(a(CHEBI:"L-dopa")) decreases p(HGNC:PPP2CA, pmod(Me)) View Subject | View Object

Significantly, we found similar effects in human dopaminergic neurons (Fig. 2F). Treatment of neurons with L-Dopa induced a 40–49% decrease in methylated PP2A and concomitant 168–179% increase in endogenous p-Tau (PHF-1) levels (Fig. 2G). PubMed:22764226

Appears in Networks:
Annotations
Uberon
dopaminergic cell groups

act(a(CHEBI:"L-dopa")) increases a(HBP:"Tau epitope, PHF1") View Subject | View Object

Significantly, we found similar effects in human dopaminergic neurons (Fig. 2F). Treatment of neurons with L-Dopa induced a 40–49% decrease in methylated PP2A and concomitant 168–179% increase in endogenous p-Tau (PHF-1) levels (Fig. 2G). PubMed:22764226

Appears in Networks:
Annotations
Uberon
dopaminergic cell groups

act(a(CHEBI:"L-dopa")) negativeCorrelation a(CHEBI:"folate(2-)") View Subject | View Object

Folate starvation in the presence of L-dopa resulted in a 200–210% increase in demethylated PP2A levels, and 235–250% increase in p-Tau levels in the dopaminergic neurons, relative to untreated controls maintained in NF medium. PubMed:22764226

Appears in Networks:
Annotations
Uberon
dopaminergic cell groups

a(CHEBI:"folate(2-)") negativeCorrelation act(a(CHEBI:"L-dopa")) View Subject | View Object

Folate starvation in the presence of L-dopa resulted in a 200–210% increase in demethylated PP2A levels, and 235–250% increase in p-Tau levels in the dopaminergic neurons, relative to untreated controls maintained in NF medium. PubMed:22764226

Appears in Networks:
Annotations
Uberon
dopaminergic cell groups

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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.