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a(MESH:"nicotinic receptor alpha3beta2")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
nicotinic receptor alpha3beta2
Namespace
mesh
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/8ccfed235e418e4c8aa576f9a5ef0f838e794c7f/external/mesh-names.belns

Appears in Networks 2

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

Discriminative Stimulus Properties of S(−)-Nicotine: “A Drug for All Seasons v1.0.0

In-Edges 5

complex(a(CHEBI:epibatidine), a(MESH:"nicotinic receptor alpha3beta2")) hasComponent a(MESH:"nicotinic receptor alpha3beta2") View Subject | View Object

Appears in Networks:

act(p(HGNC:TMEM35A), ma(chap)) increases act(a(MESH:"nicotinic receptor alpha3beta2")) View Subject | View Object

We now also find that alpha3beta2 receptor function in HEK cells requires NACHO, and these channels showed desensitization kinetics generally similar to alpha4beta2 (Figures 1A and 1B) PubMed:28445721

Appears in Networks:

act(p(HGNC:TMEM35A), ma(chap)) increases surf(a(MESH:"nicotinic receptor alpha3beta2")) 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(MESH:"nicotinic receptor alpha3beta2") View Subject | View Object

Similarly, quantifiable [3H]epibatidine binding to alpha3beta2 required cotransfection with NACHO (Figure 2C) PubMed:28445721

Appears in Networks:

a(MESH:"Dihydro-beta-Erythroidine") decreases act(a(MESH:"nicotinic receptor alpha3beta2")) 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

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.