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Appears in Networks 1

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Out-Edges 5

p(HGNC:RIN1) increases act(p(HGNC:RAB5A)) View Subject | View Object

Conversely, deletion of the neuronal rab5 GEF, rin1, reduces rab5 activation, increases LTP induction in the amygdala, and enhances fear learning and memory, most likely by increasing surface levels of AMPA receptors (Dhaka et al. 2003). PubMed:22908190

p(HGNC:RIN1) decreases bp(GO:"long-term synaptic potentiation") View Subject | View Object

Conversely, deletion of the neuronal rab5 GEF, rin1, reduces rab5 activation, increases LTP induction in the amygdala, and enhances fear learning and memory, most likely by increasing surface levels of AMPA receptors (Dhaka et al. 2003). PubMed:22908190

p(HGNC:RIN1) decreases bp(GO:"fear response") View Subject | View Object

Conversely, deletion of the neuronal rab5 GEF, rin1, reduces rab5 activation, increases LTP induction in the amygdala, and enhances fear learning and memory, most likely by increasing surface levels of AMPA receptors (Dhaka et al. 2003). PubMed:22908190

p(HGNC:RIN1) decreases bp(GO:memory) View Subject | View Object

Conversely, deletion of the neuronal rab5 GEF, rin1, reduces rab5 activation, increases LTP induction in the amygdala, and enhances fear learning and memory, most likely by increasing surface levels of AMPA receptors (Dhaka et al. 2003). PubMed:22908190

p(HGNC:RIN1) decreases a(MESH:"Receptors, AMPA") View Subject | View Object

Conversely, deletion of the neuronal rab5 GEF, rin1, reduces rab5 activation, increases LTP induction in the amygdala, and enhances fear learning and memory, most likely by increasing surface levels of AMPA receptors (Dhaka et al. 2003). 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.