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Entity

Name
nicotinic receptor alpha3beta4
Namespace
mesh
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/8ccfed235e418e4c8aa576f9a5ef0f838e794c7f/external/mesh-names.belns

Appears in Networks 2

In-Edges 6

act(p(HGNC:TMEM35A), ma(chap)) increases act(a(MESH:"nicotinic receptor alpha3beta4")) View Subject | View Object

For alpha3beta4 alone, ACh evoked large slowly-desensitizing responses, and NACHO amplified their magnitudes ~5-fold (Figures 1A and 1B) PubMed:28445721

act(p(HGNC:TMEM35A), ma(chap)) increases surf(a(MESH:"nicotinic receptor alpha3beta4")) View Subject | View Object

For alpha3beta4 alone, we found abundant surface labeling and this was enhanced by NACHO (Figures 1C and 1D) PubMed:28445721

act(p(HGNC:TMEM35A), ma(chap)) increases a(MESH:"nicotinic receptor alpha3beta4") 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

p(MGI:Tmem35a) increases a(MESH:"nicotinic receptor alpha3beta4") View Subject | View Object

NACHO knockouts did not show changes in levels of [3H]epibatidine binding to membranes from superior cervical ganglia (wild-type [WT] 329.0 ± 17.2, knockout [KO] 322.8 ± 4.0 fmol/mg protein), which primarily express receptors containing alpha3beta4-containing receptors (David et al., 2010) PubMed:28445721

a(MESH:"Dihydro-beta-Erythroidine") decreases act(a(MESH:"nicotinic receptor alpha3beta4")) View Subject | View Object

For example, DHβE (at nM concentrations) blocks α4β2 and α3β2 nAChRs but is much less potent at α3β4 and α7 nAChRs expressed in Xenopus oocytes (e.g., [134–137]). PubMed:28391535

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.