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composite(p(HGNC:MAPK1), p(HGNC:MAPK3))

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Components

Appears in Networks 1

Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0

In-Edges 1

bp(GO:memory) association composite(p(HGNC:MAPK1), p(HGNC:MAPK3)) View Subject | View Object

Which pathway is activated by Abeta depends upon the time of exposure to the amyloid peptide: chronic applications of oligomeric Abeta to hippocampal slice cultures activate the JNK/MAPK pathway but inhibit the ERK/MAPK pathway, whereas short-term applications of Abeta oligomers do not activate JNK (Bell et al., 2004). This may be one of the routes whereby Abeta impairs memory, because ERK-1 and ERK-2 play key roles in the signaling events central to memory (Satoh et al., 2007). PubMed:19293145

Appears in Networks:
Annotations
MeSH
Hippocampus

Out-Edges 3

composite(p(HGNC:MAPK1), p(HGNC:MAPK3)) hasComponent p(HGNC:MAPK1) View Subject | View Object

Appears in Networks:

composite(p(HGNC:MAPK1), p(HGNC:MAPK3)) hasComponent p(HGNC:MAPK3) View Subject | View Object

Appears in Networks:

composite(p(HGNC:MAPK1), p(HGNC:MAPK3)) association bp(GO:memory) View Subject | View Object

Which pathway is activated by Abeta depends upon the time of exposure to the amyloid peptide: chronic applications of oligomeric Abeta to hippocampal slice cultures activate the JNK/MAPK pathway but inhibit the ERK/MAPK pathway, whereas short-term applications of Abeta oligomers do not activate JNK (Bell et al., 2004). This may be one of the routes whereby Abeta impairs memory, because ERK-1 and ERK-2 play key roles in the signaling events central to memory (Satoh et al., 2007). PubMed:19293145

Appears in Networks:
Annotations
MeSH
Hippocampus

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.