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p(HGNC:PPARD)

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
PPARD
Namespace
hgnc
Namespace Version
20180828
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/1b20f0637c395f8aa89c2e2e342d7b704062c242/external/hgnc-symbols.belns

Appears in Networks 1

Nuclear receptors as therapeutic targets for Alzheimer's disease. v1.0.0

In-Edges 2

a(CHEBI:"GW 501516") increases act(p(HGNC:PPARD)) View Subject | View Object

The PPAR-d agonist GW501516 induced expression of ABCA1 and apolipoprotein A1, a peripheral lipid transporter, in macrophages [71]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High

bp(GO:"fatty acid oxidation") association p(HGNC:PPARD) View Subject | View Object

PPAR-b/-d is the most abundant isoform and plays a role in fatty acid oxidation [22]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High
MeSH
Microglia

Out-Edges 5

p(HGNC:PPARD) association bp(GO:"fatty acid oxidation") View Subject | View Object

PPAR-b/-d is the most abundant isoform and plays a role in fatty acid oxidation [22]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High
MeSH
Microglia

act(p(HGNC:PPARD)) increases bp(GO:"reverse cholesterol transport") View Subject | View Object

PPAR-d activation has also been shown to promote reverse cholesterol transport. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High

act(p(HGNC:PPARD)) increases bp(GO:"negative regulation of inflammatory response") View Subject | View Object

PPAR-d activation has also been shown to have robust anti-inflammatory actions [73]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High

act(p(HGNC:PPARD)) increases p(HGNC:ARG1) View Subject | View Object

Activation of PPAR-g or PPAR-d has been shown to induce Arg1 and IL-4 expression [105,106]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High

act(p(HGNC:PPARD)) increases p(HGNC:IL4) View Subject | View Object

Activation of PPAR-g or PPAR-d has been shown to induce Arg1 and IL-4 expression [105,106]. PubMed:21718217

Appears in Networks:
Annotations
Confidence
High

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.