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a(MESH:"Interferon Type I")

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

Entity

Name
Interferon Type I
Namespace
mesh
Namespace Version
20180828
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/1b20f0637c395f8aa89c2e2e342d7b704062c242/external/mesh-names.belns

Appears in Networks 1

Activation and regulation of the inflammasomes v1.0.0

In-Edges 1

bp(GO:"TRIF-dependent toll-like receptor 4 signaling pathway") regulates sec(a(MESH:"Interferon Type I")) View Subject | View Object

One checkpoint is that bacterial mRNA from live bacteria (also known as vita-PAMPs)44 activates NLRP3; the other checkpoint is that TLR4- and TRIF (TIR domain-containing adaptor protein inducing IFNβ)-dependent signalling — which is triggered by bacterial lipopolysaccharide (LPS) — mediate the secretion of type I IFNs, inducing pro-caspase 11 expression and activation by triggering the IFNα/β receptor (IFNAR) (FIG. 1). PubMed:23702978

Appears in Networks:
Annotations
Confidence
Medium
NeuroMMSigDB
Interferon signaling subgraph

Out-Edges 2

a(MESH:"Interferon Type I") decreases sec(p(HGNC:IL1B)) View Subject | View Object

In addition, type I IFNs can reduce IL-1β and IL-18 release by functioning at two levels. PubMed:23702978

Appears in Networks:
Annotations
Confidence
Medium
NeuroMMSigDB
Interferon signaling subgraph
NeuroMMSigDB
Interleukin signaling subgraph

a(MESH:"Interferon Type I") decreases sec(p(HGNC:IL18)) View Subject | View Object

In addition, type I IFNs can reduce IL-1β and IL-18 release by functioning at two levels. PubMed:23702978

Appears in Networks:
Annotations
Confidence
Medium
NeuroMMSigDB
Interferon signaling subgraph
NeuroMMSigDB
Interleukin signaling subgraph

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.