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a(HBP:HBP00174)

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Entity

Name
HBP00174
Namespace
HBP
Namespace Version
20181029
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/785431732a26d6809b4162d98b95687d16404e63/export/hbp.belns

Appears in Networks 1

NACHO Mediates Nicotinic Acetylcholine Receptor Function throughout the Brain v1.0.0

In-Edges 5

a(CHEBI:nicotine) increases a(HBP:HBP00174) View Subject | View Object

We found that nicotine exposure does not affect alpha7 in absence and presence of NACHO (Figures S1C and S1D), and nicotine markedly enhanced alpha4beta2 surface in a manner additive with NACHO (Figures 3G and 3H) PubMed:28445721

Appears in Networks:

complex(a(CHEBI:epibatidine), a(HBP:HBP00174)) hasComponent a(HBP:HBP00174) View Subject | View Object

Appears in Networks:

act(p(HGNC:TMEM35A), ma(chap)) increases act(a(HBP:HBP00174)) View Subject | View Object

As published previously (Gu et al., 2016), ACh evoked currents from alpha7 require NACHO, and currents from alpha4beta2 were augmented ~3-fold by NACHO, which did not alter the desensitization kinetics of alpha4beta2 receptors (Figures 1A and 1B) PubMed:28445721

Appears in Networks:

act(p(HGNC:TMEM35A), ma(chap)) increases surf(a(HBP:HBP00174)) View Subject | View Object

As previously published (Gu et al., 2016), robust surface alpha7 and alpha4beta2 expression required co-transfection with NACHO (Figures 1C and D), and we find that alpha3beta2 is also NACHO-dependent (Figures 1C and D) PubMed:28445721

Appears in Networks:

act(p(HGNC:TMEM35A), ma(chap)) increases a(HBP:HBP00174) View Subject | View Object

Cells transfected with alpha4beta2 or alpha3beta4 alone showed [3H]epibatidine binding, and this was markedly increased (5- to 10-fold) in presence of NACHO (Figures 2B and 2D) PubMed:28445721

Appears in Networks:

Out-Edges 0

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.