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Entity

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

Appears in Networks 1

In-Edges 0

Out-Edges 5

path(MESH:"Spinal Cord Injuries") increases act(complex(GO:"NLRP1 inflammasome complex")) View Subject | View Object

Spinal cord injury can activate the NLRP1 inflammasome to produce IL-1β in rat spinal cord neurons (de Rivero Vaccari et al., 2008) PubMed:24561250

path(MESH:"Spinal Cord Injuries") increases act(complex(GO:"NLRP1 inflammasome complex")) View Subject | View Object

Spinal cord injury causes IL-18 and IL-1β release from neuronal cells through the activation of the NLRP1 inflammasome, composed of receptor NLRP1, adaptor protein ASC, caspase-1, caspase-11 and X-linked inhibitor of apoptosis protein (de Rivero Vaccari et al., 2008) PubMed:24561250

path(MESH:"Spinal Cord Injuries") increases sec(p(HGNC:IL18)) View Subject | View Object

Spinal cord injury causes IL-18 and IL-1β release from neuronal cells through the activation of the NLRP1 inflammasome, composed of receptor NLRP1, adaptor protein ASC, caspase-1, caspase-11 and X-linked inhibitor of apoptosis protein (de Rivero Vaccari et al., 2008) PubMed:24561250

path(MESH:"Spinal Cord Injuries") increases sec(p(HGNC:IL1B)) View Subject | View Object

Spinal cord injury causes IL-18 and IL-1β release from neuronal cells through the activation of the NLRP1 inflammasome, composed of receptor NLRP1, adaptor protein ASC, caspase-1, caspase-11 and X-linked inhibitor of apoptosis protein (de Rivero Vaccari et al., 2008) PubMed:24561250

path(MESH:"Spinal Cord Injuries") increases a(CHEBI:ATP) View Subject | View Object

Spinal cord injury elevates extracellular ATP levels during neuroinflammation, which may act on purinergic receptors to trigger the activation of inflammasome (de Rivero Vaccari et al., 2012; Minkiewicz et al., 2013) PubMed:24561250

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.