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  3. complex(p(HGNC:MAPK1), p(HGNC:MAPK14), p(HGNC:MAPK8))

complex(p(HGNC:MAPK1), p(HGNC:MAPK14), p(HGNC:MAPK8))

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

Components

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 2

a(MESH:"Reactive Oxygen Species") increases complex(p(HGNC:MAPK1), p(HGNC:MAPK14), p(HGNC:MAPK8)) View Subject | View Object

However, ROS is necessary to induce TNF secretion and MAPK activation. PubMed:24904418

Appears in Networks:
Annotations
Cell Ontology (CL)
leukocyte
MeSH
Liver
MeSH
Malaria
Text Location
Review

p(HGNC:TLR4) increases complex(p(HGNC:MAPK1), p(HGNC:MAPK14), p(HGNC:MAPK8)) View Subject | View Object

TLR4 activation leads to MAPKs and NFκB activation, which are necessary to TNF secretion. PubMed:24904418

Appears in Networks:
Annotations
Cell Ontology (CL)
leukocyte
MeSH
Liver
MeSH
Malaria
Text Location
Review

Out-Edges 4

complex(p(HGNC:MAPK1), p(HGNC:MAPK14), p(HGNC:MAPK8)) hasComponent p(HGNC:MAPK1) View Subject | View Object

Appears in Networks:

complex(p(HGNC:MAPK1), p(HGNC:MAPK14), p(HGNC:MAPK8)) hasComponent p(HGNC:MAPK14) View Subject | View Object

Appears in Networks:

complex(p(HGNC:MAPK1), p(HGNC:MAPK14), p(HGNC:MAPK8)) hasComponent p(HGNC:MAPK8) View Subject | View Object

Appears in Networks:

complex(p(HGNC:MAPK1), p(HGNC:MAPK14), p(HGNC:MAPK8)) increases p(HGNC:TNF) View Subject | View Object

TLR4 activation leads to MAPKs and NFκB activation, which are necessary to TNF secretion. PubMed:24904418

Appears in Networks:
Annotations
Cell Ontology (CL)
leukocyte
MeSH
Liver
MeSH
Malaria
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.