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Nuclear factor Kappa beta subgraph

Name
Nuclear factor Kappa beta subgraph
Namespace Keyword
Subgraph
Namespace
NeuroMMSigDB
Namespace Version
1.0.3
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/neurommsig/neurommsig-1.0.3.belanno

Sample Annotated Edges 4

a(CHEBI:"(+)-artemisinin") decreases p(MGI:Nfkbia) View Subject | View Object

Using a similar mouse model, Shi et al. treated animals with the antimalarial drug artemisinin, showing that this treatment results in inhibition of NFkB and presumably the NLRP3 inflammasome (13) PubMed:28019679

Appears in Networks:
Annotations
Confidence
High
MeSH
Neurons
NeuroMMSigDB
Nuclear factor Kappa beta subgraph

a(CHEBI:"(+)-artemisinin") decreases complex(GO:"NLRP3 inflammasome complex") View Subject | View Object

Using a similar mouse model, Shi et al. treated animals with the antimalarial drug artemisinin, showing that this treatment results in inhibition of NFkB and presumably the NLRP3 inflammasome (13) PubMed:28019679

Appears in Networks:
Annotations
Confidence
High
MeSH
Neurons
NeuroMMSigDB
Nuclear factor Kappa beta subgraph

bp(GO:"cell activation") increases p(HGNC:IL18) View Subject | View Object

The transcription of pro-IL-1β is induced by the activation of the transcription factor nuclear factor-κB (NF-κB), whereas pro-IL-18 is constitutively expressed and its expression is increased after cellular activation. PubMed:23702978

Appears in Networks:
Annotations
Confidence
High
NeuroMMSigDB
Interleukin signaling subgraph
NeuroMMSigDB
Nuclear factor Kappa beta subgraph

p(HGNC:NFKB1) increases p(HGNC:IL1B) View Subject | View Object

The transcription of pro-IL-1β is induced by the activation of the transcription factor nuclear factor-κB (NF-κB), whereas pro-IL-18 is constitutively expressed and its expression is increased after cellular activation. PubMed:23702978

Appears in Networks:
Annotations
Confidence
High
NeuroMMSigDB
Interleukin signaling subgraph
NeuroMMSigDB
Nuclear factor Kappa beta subgraph

Showing 4 of 4 edges

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.