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Entity

Name
long-term synaptic depression
Namespace
go
Namespace Version
20190207
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/a5b84013a08880975ca84f40999e4404b14a97e2/external/go-names.belns

Appears in Networks 3

In-Edges 5

a(HBP:AβOs) increases bp(GO:"long-term synaptic depression") View Subject | View Object

They also facilitate long-term depression by, among other effects, disrupting synaptic glutamate uptake (Li et al. 2009). PubMed:22908190

act(p(HGNC:RAB5A)) negativeCorrelation bp(GO:"long-term synaptic depression") View Subject | View Object

Pathological Rab5 activation driving endocytic dysfunction in AD may negatively impact longterm potentiation (LTP) and long-term depression (LTD) aspects of synaptic plasticity closely associated with learning and memory (Kessels et al. 2009) PubMed:22908190

p(HGNC:MAPT) increases bp(GO:"long-term synaptic depression") View Subject | View Object

A selective deficit in LTD but not in long-term potentiation (LTP) was observed in the CA1 region of the hippocampus in tau-knockout mice in vivo and ex vivo PubMed:26631930

p(HGNC:MAPT) increases bp(GO:"long-term synaptic depression") View Subject | View Object

In addition, as tau is involved in multiple novel functions, including iron transport, neurogenesis, LTD and neuronal DNA protection (as discussed above), the loss of function of tau may also lead to neurodegeneration via impairment of these processes. PubMed:26631930

Out-Edges 3

bp(GO:"long-term synaptic depression") negativeCorrelation act(p(HGNC:RAB5A)) View Subject | View Object

Pathological Rab5 activation driving endocytic dysfunction in AD may negatively impact longterm potentiation (LTP) and long-term depression (LTD) aspects of synaptic plasticity closely associated with learning and memory (Kessels et al. 2009) PubMed:22908190

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.