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p(HGNC:CHRNA7, var("?"))

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

Entity

Name
CHRNA7
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 2

Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0

Neural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses v1.0.0

In-Edges 3

a(CHEBI:"amyloid-beta") decreases act(p(HGNC:CHRNA7, var("?"))) View Subject | View Object

It has also been observed that although Abeta inhibits recombinant human and mouse alpha7 nAChRs, transgenic mice overexpressing human Abeta express functional alpha7 nAChRs, and the amplitude of alpha7- mediated currents is no different from that of wild-type mice (Spencer et al., 2006). PubMed:19293145

Appears in Networks:

p(HGNC:CHRNA7) hasVariant p(HGNC:CHRNA7, var("?")) View Subject | View Object

Appears in Networks:

path(MESH:Schizophrenia) positiveCorrelation p(HGNC:CHRNA7, var("?")) View Subject | View Object

Mutations in nicotinic receptor subunits are linked to human disease, alpha4 and beta2 in some epilepsies, alpha7 in schizophrenia, and alpha5 in nicotine addiction; and each mutation ultimately manifests itself as an imbalance in the properties of neuronal circuits PubMed:21482353

Appears in Networks:

Out-Edges 1

p(HGNC:CHRNA7, var("?")) positiveCorrelation path(MESH:Schizophrenia) View Subject | View Object

Mutations in nicotinic receptor subunits are linked to human disease, alpha4 and beta2 in some epilepsies, alpha7 in schizophrenia, and alpha5 in nicotine addiction; and each mutation ultimately manifests itself as an imbalance in the properties of neuronal circuits PubMed:21482353

Appears in Networks:

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.