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  3. composite(a(CHEBI:choline), p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A")))

composite(a(CHEBI:choline), p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A")))

Appears in Networks 1

Identification and Characterization of a G Protein-binding Cluster in alpha7 Nicotinic Acetylcholine Receptors v1.0.0

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Out-Edges 4

composite(a(CHEBI:choline), p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A"))) hasComponent a(CHEBI:choline) View Subject | View Object

Appears in Networks:

composite(a(CHEBI:choline), p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A"))) hasComponent p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A")) View Subject | View Object

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composite(a(CHEBI:choline), p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A"))) decreases a(CHEBI:"calcium(2+)") View Subject | View Object

Most notably, in the GC, the calcium peak values were significantly lower in α7345–348A-transfected cells compared with α7 cells after Tukey's HSD post hoc comparisons (peak: 741 ± 159.8% ΔF/Fθ, p = 0.006). This represents a 46.92% reduction from the α7 baseline calcium response (Fig. 4, A and B). This reduction approached significance in the neurite of α7345–348A cells (peak: 561 ± 124.9% ΔF/Fθ) (Fig. 4, A and B) PubMed:26088141

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MeSH
Neurites

composite(a(CHEBI:choline), p(HGNC:CHRNA7, var("p.345A"), var("p.346A"), var("p.347A"), var("p.348A"))) decreases a(CHEBI:"calcium(2+)") View Subject | View Object

In N2a cells α7345–348A nAChR expression fostered a weak calcium response to (10 mM) choline, whereas expression of α7 nAChRs correlated with noticeable choline-induced calcium transient. Imaging studies in N2a cells expressing α7345–348A nAChRs indicate a significantly lowered calcium signal peak to choline (333.4% ΔF/Fθ ± 35.7%) when compared with N2a cells that express the α7nAChR (peak: 581% ΔF/Fθ ± 122.7%; p = 0.04) (Fig. 4, D and E). PubMed:26088141

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Experimental Factor Ontology (EFO)
Neuro-2a cell

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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.