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a(HBP:HBP00042)

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

Entity

Name
HBP00042
Namespace
HBP
Namespace Version
20181221
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/bd0996a28201cad363557315043c6392e31abf58/export/hbp.belns

Appears in Networks 2

APP processing in Alzheimer's disease v1.0.1

APP processing in Alzheimer's disease

Proteolytic processing of Alzeimer's beta-amyloid precursor protein v1.0.1

In-Edges 2

complex(a(HBP:HBP00042), p(HGNC:TNFRSF21)) hasComponent a(HBP:HBP00042) View Subject | View Object

Appears in Networks:

rxn(reactants(p(HGNC:APP)), products(a(HBP:HBP00042), a(HBP:HBP00081))) hasProduct a(HBP:HBP00042) View Subject | View Object

Appears in Networks:

Out-Edges 3

a(HBP:HBP00042) increases p(HGNC:TTR) View Subject | View Object

A recent report found that sAPPbeta can rescue gene expression of transthyretin and Klotho, which is decreased in APP/APLP2 deficient mice, but cannot rescue the lethality and neuromuscular synapse defects of these mice, suggesting a gene expression regulation function for sAPPbeta that is independent of developmental APP functions [95] PubMed:21214928

Appears in Networks:
Annotations
MeSH
Endosomes
Confidence
High
MeSH
Neurons

a(HBP:HBP00042) increases p(HGNC:KL) View Subject | View Object

A recent report found that sAPPbeta can rescue gene expression of transthyretin and Klotho, which is decreased in APP/APLP2 deficient mice, but cannot rescue the lethality and neuromuscular synapse defects of these mice, suggesting a gene expression regulation function for sAPPbeta that is independent of developmental APP functions [95] PubMed:21214928

Appears in Networks:
Annotations
MeSH
Endosomes
Confidence
High
MeSH
Neurons

a(HBP:HBP00042) increases bp(HBP:HBP00061) View Subject | View Object

Although there are only 17 amino acids difference between sAPP-beta and sAPP-alpha, sAPP-beta reportedly lacks most of the neuroprotective effects of sAPP-a (Furukawa et al. 1996a,b) PubMed:22122372

Appears in Networks:
Annotations
Confidence
High
MeSH
Neurons

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.