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a(MESH:"Mitogen-Activated Protein Kinases")

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Entity

Name
Mitogen-Activated Protein Kinases
Namespace
MeSH
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/01c9daa61012b37dd0a1bc962521ba51a15b38f1/external/mesh-names.belns

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 2

a(CHEBI:methemoglobin) increases act(a(MESH:"Mitogen-Activated Protein Kinases")) View Subject | View Object

We also found that HbFe21 and HbFe31 activate NF-kB and mitogen-activated protein kinase pathways, as shown by phosphorylation of NF-kB p65 subunit and p44/42, respectively (Figure E3) as noted previously (31). PubMed:26974230

Appears in Networks:
Annotations
MeSH
Alveolar Epithelial Cells
Text Location
Results

a(MESH:"Reactive Oxygen Species") positiveCorrelation a(MESH:"Mitogen-Activated Protein Kinases") View Subject | View Object

Furthermore, ROS induction by haem directly depends on signal transduction involving Ga inhibitory protein and phosphoinositide 3-kinase, and partially depends on phospholipase Cb, protein kinase C, the mitogen-activated protein kinases (MAPKs) and Rho kinase in neutrophils (Porto et al, 2007). PubMed:25307023

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Plasma
MeSH
Urine
MeSH
Anemia, Hemolytic, Autoimmune
Text Location
Review

Out-Edges 1

a(MESH:"Mitogen-Activated Protein Kinases") positiveCorrelation a(MESH:"Reactive Oxygen Species") View Subject | View Object

Furthermore, ROS induction by haem directly depends on signal transduction involving Ga inhibitory protein and phosphoinositide 3-kinase, and partially depends on phospholipase Cb, protein kinase C, the mitogen-activated protein kinases (MAPKs) and Rho kinase in neutrophils (Porto et al, 2007). PubMed:25307023

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Plasma
MeSH
Urine
MeSH
Anemia, Hemolytic, Autoimmune
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.