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Appears in Networks 2

In-Edges 12

a(MESH:"Amyloid Precursor Protein Secretases") increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

Abeta is generated from b-amyloid precursor protein (APP) through sequential cleavages first by beta-secretase and then by gamma-secretase complex PubMed:21214928

Annotations
Confidence
Medium

a(MESH:Caspases) increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

Cleavage of APP by caspases may also contribute to AD pathologies PubMed:21214928

Annotations
Confidence
Medium

complex(FPLX:"Gamma_secretase") increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

Abeta is generated from b-amyloid precursor protein (APP) through sequential cleavages first by beta-secretase and then by gamma-secretase complex PubMed:21214928

Annotations
Confidence
Medium

complex(p(HGNC:BACE1), p(HGNC:GGA1)) decreases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

On the other hand, Golgi-localized gamma-ear-containing ARF-binding (GGA) proteins have been found to interact with BACE1 and regulate its trafficking between the late Golgi and early endosomes; and depletion of GGA proteins increases the accumulation of BACE1 in acidic early endosomes for enhanced BACE1 stability and cleavage of APP [76-78] PubMed:21214928

Annotations
MeSH
Endosomes
Confidence
High
MeSH
Neurons

p(HGNC:BACE1) increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

Abeta is generated from b-amyloid precursor protein (APP) through sequential cleavages first by beta-secretase and then by gamma-secretase complex PubMed:21214928

Annotations
Confidence
Medium

p(HGNC:BACE1) increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

The first step in Abeta generation is cleavage of APP by the beta-secretase PubMed:21214928

Annotations
Confidence
High
MeSH
Neurons

p(HGNC:BACE1) increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

These results provide convincing evidence that BACE1 is the beta-secretase involved in APP metabolism [63-67]; and BACE1 activity is thought to be the rate-limiting factor in Abeta generation from APP PubMed:21214928

Annotations
Confidence
High
MeSH
Neurons

complex(p(HGNC:BACE1), p(HGNC:RTN4)) decreases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

Some studies found that BACE1 can interact with reticulon/Nogo proteins, whose increased expression can block BACE1 in the ER with a neutral pH environment and thus inhibit BACE1 activity in Abeta generation [73-75] PubMed:21214928

p(HGNC:BACE2) association rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

As DS also results in Abeta accumulation, the genes location suggests a link between BACE2 and APP processing PubMed:21214928

Annotations
MeSH
Endosomes
Confidence
Medium
MeSH
Neurons

p(HGNC:BACE2) increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

Indeed, BACE2 cleaves beta-secretase substrates such as wild-type and Swedish mutant APP, similar to BACE1, in enzymatic In vitro assays [89] PubMed:21214928

Annotations
MeSH
Endosomes
Confidence
High
MeSH
Neurons

complex(FPLX:"Gamma_secretase") increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

The processing of APP to generate Abeta is executed by beta- and gamma-secretase and is highly regulated PubMed:22122372

p(HGNC:BACE1) increases rxn(reactants(p(HGNC:APP)), products(a(CHEBI:"amyloid-beta"))) View Subject | View Object

The processing of APP to generate Abeta is executed by beta- and gamma-secretase and is highly regulated PubMed:22122372

Out-Edges 3

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.