The node-based overlap between this network and other networks is calculated as the Szymkiewicz-Simpson coefficient of their respective nodes. Up to the top 10 are shown below.
In α7345–348A nAChR expressing cells, nifedipine had no effect on the peak or the duration of the calcium transient (peak: 957.00% ΔF/Fθ ± 252.2%; AUC: 333.33% ΔF/Fθ2 × s ± 91.53%) relative to choline treatment alone (Fig. 5, A–C). The findings suggest that choline-induced calcium responses in PC12 cells involve the activity of VGCC (37, 38). PubMed:26088141
PC12 cells transfected with α7345–348A showed a reduction in choline-mediated calcium responses. PubMed:26088141
In α7345–348A nAChR expressing cells, nifedipine had no effect on the peak or the duration of the calcium transient (peak: 957.00% ΔF/Fθ ± 252.2%; AUC: 333.33% ΔF/Fθ2 × s ± 91.53%) relative to choline treatment alone (Fig. 5, A–C). The findings suggest that choline-induced calcium responses in PC12 cells involve the activity of VGCC (37, 38). PubMed:26088141
Treatment of PC12 cells with 10 mM choline was associated with a translocation of PH-mCherry from the cell surface as determined by the presence of the fluorescence signal within 1 μm of the edge of the cell into the cytosol of the GC (Fig. 6, A and B). Pre-treatment of cells with SP abolished this translocation (Fig. 6B). PubMed:26088141
Sequential imaging of PH-mCherry and GCaMP5G confirms that choline promotes a rise in intracellular calcium and PH-mCherry translocation in the same cellular compartment (Fig. 6, B and C). Cytoplasmic translocation of PH-mCherry occurred on a slower time scale (40 s after choline application) than peak calcium responses (∼1 s after choline application). These kinetics are consistent with the translocation of the PH domain sensor in the cell (20, 29). PubMed:26088141
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.