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Entity

Name
negative regulation of inflammatory response
Namespace
go
Namespace Version
20180828
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/1b20f0637c395f8aa89c2e2e342d7b704062c242/external/go-names.belns

Appears in Networks 2

In-Edges 3

p(HGNC:NR1H3) association bp(GO:"negative regulation of inflammatory response") View Subject | View Object

LXR receptors are activated by oxysterols, most prominently hydroxylated forms of cholesterol, and play a critical role in the control of whole body cholesterol homeostasis, as well as exerting potent anti-inflammatory actions [26]. PubMed:21718217

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

a(CHEBI:"reactive oxygen species") increases bp(GO:"negative regulation of inflammatory response") View Subject | View Object

Specifically, ROS have been shown to regulate a wide variety of signalling pathways including anti- inflammatory responses and adaptation to hypoxia [77,78], autop- hagy [79], immune cell function [80], cellular differentiation [81], integrins [82], as well as oncogenes signalling [83]. PubMed:24563850

Out-Edges 1

bp(GO:"negative regulation of inflammatory response") association p(HGNC:NR1H3) View Subject | View Object

LXR receptors are activated by oxysterols, most prominently hydroxylated forms of cholesterol, and play a critical role in the control of whole body cholesterol homeostasis, as well as exerting potent anti-inflammatory actions [26]. PubMed:21718217

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.