PubMed · 7127520
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J Novák, K Hátle. 1982. [A simple thermoregulating unit].. https://pubmed.ncbi.nlm.nih.gov/7127520/
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The porin from Paracoccus denitrificans, a slightly anion specific outer membrane pore protein, was expressed in Escherichia coli, isolated from inclusion bodies, and refolded in the presence of urea and detergents. The purified recombinant protein was reconstituted into black lipid bilayer membranes and showed no difference in its functional properties in comparison to the native porin isolated from P.denitrificans membranes. To investigate the molecular basis of its ion selectivity and voltage-gating, a series of site-directed mutants was constructed, comprising acidic residues located on the third extracellular loop (L3), which forms the constriction zone of the channel, and basic residues along the opposing barrel wall. Measurements using zero-current membrane potentials indicated that the selectivity changed drastically from a slight anion to a distinct cation selectivity with the exchange of residues R29 and R31 by glutamate, whereas replacements on the L3 loop went largely unaffected. However, when assaying the voltage-dependent closure of channels, only mutations located on the L3 loop showed an effect, in contrast to the voltage-independent recombinant and native Paracoccus porin.
Although we believed that the use of a polyester film drape for primary elective open sternum with delayed sternal closure made it impossible to record precordial electrocardiograms on the drape, we confirmed that it is possible to record electrocardiograms on an iodine-impregnated drape due to the iodine anion electrical conductibility.
A solution of the forward problem is an important component of any method for computing the spatio-temporal activity of the neural sources of magnetoencephalography (MEG) and electroencephalography (EEG) data. The forward problem involves computing the scalp potentials or external magnetic field at a finite set of sensor locations for a putative source configuration. We present a unified treatment of analytical and numerical solutions of the forward problem in a form suitable for use in inverse methods. This formulation is achieved through factorization of the lead field into the product of the moment of the elemental current dipole source with a "kernel matrix" that depends on the head geometry and source and sensor locations, and a "sensor matrix" that models sensor orientation and gradiometer effects in MEG and differential measurements in EEG. Using this formulation and a recently developed approximation formula for EEG, based on the "Berg parameters," we present novel reformulations of the basic EEG and MEG kernels that dispel the myth that EEG is inherently more complicated to calculate than MEG. We also present novel investigations of different boundary element methods (BEM's) and present evidence that improvements over currently published BEM methods can be realized using alternative error-weighting methods. Explicit expressions for the matrix kernels for MEG and EEG for spherical and realistic head geometries are included.