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bp(GO:"positive regulation of advanced glycation end-product receptor activity")

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Entity

Name
positive regulation of advanced glycation end-product receptor activity
Namespace
go
Namespace Version
20190224
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/c328ad964c08967a0417a887510b97b965a62fa5/external/go-names.belns

Appears in Networks 1

Significance of NF-κB as a pivotal therapeutic target in the neurodegenerative pathologies of Alzheimer's disease and multiple sclerosis v1.0.0

In-Edges 1

a(CHEBI:"amyloid-beta polypeptide 42") increases bp(GO:"positive regulation of advanced glycation end-product receptor activity") View Subject | View Object

Excessive accumulation of Aβ1-42 stimulates microglial cells by signaling via receptor associated advanced glycation end products (RAGE) and peroxisome proliferator-activated receptor-γ (PPAR-γ), phosphorylates IKK proteins, and enhances NF-κB mediated transactivation of inflammatory cytokines and neurotoxic molecules such as glutamate and reactive oxygen species (ROS)/induced nitric oxide synthase (iNOS) [12] (Fig 2B) PubMed:25652642

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

Out-Edges 1

bp(GO:"positive regulation of advanced glycation end-product receptor activity") increases act(a(MESH:Microglia)) View Subject | View Object

Excessive accumulation of Aβ1-42 stimulates microglial cells by signaling via receptor associated advanced glycation end products (RAGE) and peroxisome proliferator-activated receptor-γ (PPAR-γ), phosphorylates IKK proteins, and enhances NF-κB mediated transactivation of inflammatory cytokines and neurotoxic molecules such as glutamate and reactive oxygen species (ROS)/induced nitric oxide synthase (iNOS) [12] (Fig 2B) PubMed:25652642

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

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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.