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bp(GO:"synapse pruning")

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Entity

Name
synapse pruning
Namespace
go
Namespace Version
20181221
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/73688d6dc24e309fca59a1340dc9ee971e9f3baa/external/go-names.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)) association bp(GO:"synapse pruning") View Subject | View Object

Although sAPPbeta only differs from sAPPalpha by lacking the Abeta1-16 region at its carboxyl-terminus, sAPPbeta was reported to function as a death receptor 6 ligand and mediate axonal pruning and neuronal cell death [94] PubMed:21214928

Appears in Networks:
Annotations
MeSH
Endosomes
Confidence
High
MeSH
Neurons

complex(p(HBP:HBP00042, frag("?")), p(HGNC:TNFRSF21)) increases bp(GO:"synapse pruning") View Subject | View Object

A recent study suggested that sAPP-beta can be cleaved to generate an N-terminal fragment that is a ligand for death receptor 6, activating caspase 6 which further stimulates axonal pruning and neuronal cell death (Nikolaev et al. 2009) PubMed:22122372

Appears in Networks:
Annotations
Confidence
High
MeSH
Neurons

Out-Edges 1

bp(GO:"synapse pruning") association complex(a(HBP:HBP00042), p(HGNC:TNFRSF21)) View Subject | View Object

Although sAPPbeta only differs from sAPPalpha by lacking the Abeta1-16 region at its carboxyl-terminus, sAPPbeta was reported to function as a death receptor 6 ligand and mediate axonal pruning and neuronal cell death [94] PubMed:21214928

Appears in Networks:
Annotations
MeSH
Endosomes
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.