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complex(p(HGNC:CHRNA4), p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3))

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Components

Appears in Networks 1

Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system v1.0.0

This document contains the curation of the review article Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system by Taly et al. 2009

In-Edges 1

a(MESH:"Dopaminergic Neurons") association complex(p(HGNC:CHRNA4), p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3)) View Subject | View Object

For example, as discussed above, at least five functional nAChR subtypes have been identified in dopaminergic terminals in the striatum: α4α6β2β3, α6β2β3 and α6β2, which have the highest sensitivity to nicotine, and α4β2 and α4α5β2, which are more numerous than the α6-containing subtypes, yet with lower affinity for nicotine105,106,204. PubMed:19721446

Appears in Networks:
Annotations
MeSH
Corpus Striatum
Text Location
Review

Out-Edges 5

complex(p(HGNC:CHRNA4), p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3)) hasComponent p(HGNC:CHRNA4) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA4), p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3)) hasComponent p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA4), p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3)) hasComponent p(HGNC:CHRNB2) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA4), p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3)) hasComponent p(HGNC:CHRNB3) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA4), p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3)) association a(MESH:"Dopaminergic Neurons") View Subject | View Object

For example, as discussed above, at least five functional nAChR subtypes have been identified in dopaminergic terminals in the striatum: α4α6β2β3, α6β2β3 and α6β2, which have the highest sensitivity to nicotine, and α4β2 and α4α5β2, which are more numerous than the α6-containing subtypes, yet with lower affinity for nicotine105,106,204. PubMed:19721446

Appears in Networks:
Annotations
MeSH
Corpus Striatum
Text Location
Review

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.