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a(MESH:Alarmins)

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Entity

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

Appears in Networks 2

The role of inflammasome in Alzheimer’s disease v1.0.3

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 0

Out-Edges 3

a(MESH:Alarmins) increases complex(GO:"inflammasome complex") View Subject | View Object

In response to danger signals, inflammasomes assemble by self-oligomerizing the NLRs through interactions with the NACHT domain (van de Veerdonk et al., 2011) PubMed:24561250

Appears in Networks:
Annotations
Confidence
High

a(MESH:Alarmins) increases act(complex(GO:"inflammasome complex")) View Subject | View Object

The activators of the inflammasomes can be divided into two categories; pathogen associated molecular patterns (PAMPs) activate a host-defense reaction, and damage associated molecular patterns (DAMPs) activate a self-defense mechanism in response to danger signals (Salminen et al., 2008) PubMed:24561250

Appears in Networks:
Annotations
Confidence
High

a(MESH:Alarmins) increases act(p(HGNC:TLR4)) View Subject | View Object

In recent years, it has also been shown that toll-like receptors and other pattern recognition receptors are activated not only by extrinsic factors but also by intrinsic stimuli (so called damage-associated molecular patterns, DAMPs) that are released when the host cell is damaged [27, 29]. PubMed:29956069

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MeSH
Arteries
MeSH
Sepsis
Text Location
Review

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.