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To determine whether the nuclear envelope of eukaryotic cells has the capability to regulate ion fluxes, we have used the patch-clamp technique to detect ion channels in this membrane system. Since possible sites for ion channels in the nuclear envelope include not only the nuclear pores, but also both the inner and outer nuclear membranes, we have patched giant liposomes composed of phosphatidylcholine and nuclear envelope fragments isolated from mature avian erythrocytes. A large, cation-selective channel with a maximum conductance of approximately 800 pS in symmetrical 100 mM KCl was detected. This channel is a possible candidate for a nuclear pore. 相似文献
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Tsubasa Ishida Rie Ito Jessica Clark Nicholas J. Matzke Yoshiyuki Sowa Matthew A. B. Baker 《Molecular microbiology》2019,111(6):1689-1699
The bacterial flagellar motor powers the rotation that propels the swimming bacteria. Rotational torque is generated by harnessing the flow of ions through ion channels known as stators which couple the energy from the ion gradient across the inner membrane to rotation of the rotor. Here, we used error‐prone PCR to introduce single point mutations into the sodium‐powered Vibrio alginolyticus/Escherichia coli chimeric stator PotB and selected for motors that exhibited motility in the presence of the sodium‐channel inhibitor phenamil. We found single mutations that enable motility under phenamil occurred at two sites: (i) the transmembrane domain of PotB, corresponding to the TM region of the PomB stator from V. alginolyticus and (ii) near the peptidoglycan binding region that corresponds to the C‐terminal region of the MotB stator from E. coli. Single cell rotation assays confirmed that individual flagellar motors could rotate in up to 100 µM phenamil. Using phylogenetic logistic regression, we found correlation between natural residue variation and ion source at positions corresponding to PotB F22Y, but not at other sites. Our results demonstrate that it is not only the pore region of the stator that moderates motility in the presence of ion‐channel blockers. 相似文献
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Mark AJ Roberts Elias August Abdullah Hamadeh Philip K Maini Patrick E McSharry Judith P Armitage Antonis Papachristodoulou 《BMC systems biology》2009,3(1):105-14
Background
Developing methods for understanding the connectivity of signalling pathways is a major challenge in biological research. For this purpose, mathematical models are routinely developed based on experimental observations, which also allow the prediction of the system behaviour under different experimental conditions. Often, however, the same experimental data can be represented by several competing network models. 相似文献10.