Fourier transform infrared spectroscopy was used to investigate ligand-protein interactions in the ligand-binding domain of the GluR4 glutamate receptor subunit. Glutamate binding induces more extensive secondary structural changes in the ligand-binding domain than does kainate binding. Glutamate also alters the hydrogen bonding strength of the single free cysteine side chain in the domain, while kainate does not. On the other hand, the interaction of a binding site arginine residue with kainate appears to be stronger than that with glutamate. These results identify chemical and structural differences that may explain the different functional characteristics of the two agonists acting on ionotropic glutamate receptors. In doing so, they complement and extend recent crystallographic structures of the ligand-binding domain.
The deconvolution of spectroelectrochemical data is often quite difficult if the spectra of intermediates are not known. Factor analysis, however, has been shown to be a powerful technique which can make it possible to deconvolute overlapping spectra. In this work, evolving factor analysis will be used to determine the number of intermediates and the spectra of those species for two typical spectroelectrochemical experiments: linear scan voltammetry and chronoabsorptometry in a thin-layer cell. The first system was the reduction of E. coli sulfite reductase hemoprotein (SiR-HP). Principal factor analysis indicated that three species were present. By using evolving factor analysis, the potential regions where each of the species were present were identified, and their concentrations and spectra were determined by the use of the mass balance equation. The spectra of the one-electron (SiR-HP1-) and two-electron (SiR-HP2-) reduced product were compared with previous work. The second experiment was the chronoabsorptometry of Cl2FeS2MoS2FeCl2(2-) in methylene chloride. This experiment indicated that five species were present during the experiment. The entire set of 61 spectra were fit by assuming that there were 4 species present during the electrolysis. The rate constant for the appearance of subsequent species fit quite well with the rate constant for the disappearance of previous species. The spectra of the intermediates and final product were obtained using evolving factor analysis and a mass balance equation. Identification of the fifth species, which was probably the initial reduction product, Cl2FeS2MoS2FeCl2(3-), was difficult due to its low concentration and the fact that it was present in the same time region as the starting material.
Postnatal day (P)20 rats are sensitive to CA1 injury following a single injection of kainic acid (KA) but are resistant to this injury when animals have a history of two neonatal seizures. We hypothesized that the two earlier seizures led to neuroprotection by a preconditioning mechanism. Therefore, morphology, [Ca(2+)](i) and NMDA subunit proteins of the hippocampus were examined after KA was administered once (1 × KA, on P6, P9, P13 or P20), twice (2 × KA, on P6 and P9) or three times (3 × KA, on P6, P9, P13 or P20). After 1 × KA on P20, the Golgi method revealed marked decreases in spine densities and aborization of CA1 and CA3 apical dendrites. After 3 × KA, morphological alterations were attenuated in CA1 neurons and were similar to pruning observed after 1 × KA on P6 or 2 × KA. After 1 × KA at P13, baseline [Ca(2+)](i) was elevated within pyramidal and dentate granule cells. N-methyl-D-aspartate (NMDA) responses were simultaneously enhanced. After 3 × KA, Ca(2+) elevations were attenuated. Immunohistochemistry revealed selective depletion of the NR2A/B subunit modulator in the same areas. NR1 subunit expression was downregulated in the subiculum and increased in the CA3, causing a significant shift in the NR1:NR2A/B ratio throughout the hippocampus. After 1 × KA or 3 × KA at P20, reduced expression was only observed in areas of cell injury. Results indicate that different changes in morphology and excitatory responses occur depending upon when seizures begin. Partial pruning and persistent shift in the NR1:NR2A/B ratio among excitatory synapses of the hippocampus early in life may produce epileptic tolerance and protect against subsequent insults.
Elevated Ca(2+) concentrations have been implicated in cell death mechanisms following seizures, however, the age and brain region of intracellular Ca(2+) accumulations [Ca(2+)](i), may influence whether or not they are toxic. Therefore, we examined regional accumulations of (45)Ca(2+) by autoradiography from rats of several developmental stages (P14, P21, P30 and P60) at 5, 14, and 24h after status epilepticus. To determine whether the uptake was intracellular, Ca(2+) was also assessed in hippocampal slices with the dye indicator, Fura 2AM at P14. Control animals accumulated low homogeneous levels of (45)Ca(2+); however, highly specific and age-dependent patterns of (45)Ca(2+) uptake were observed at 5h. (45)Ca(2+) accumulations were predominant in dorsal hippocampal regions, CA1/CA2/CA3a, in P14 and P21 rats and in CA3a and CA3c neurons of P30 and P60 rats. Selective midline and amygdala nuclei were marked at P14 but not at P21 and limbic accumulations recurred with maturation that were extensive at P30 and even more so at P60. At 14 h, P14 and P21 rats had no persistent accumulations whereas P30 and P60 rats showed persistent uptake patterns within selective amygdala, thalamic and hypothalamic nuclei, and other limbic cortical regions that continued to differ at these ages. For example, piriform cortex accumulation was highest at P60. Fura 2AM imaging at P14 confirmed that Ca(2+) rises were intracellular and occurred in both vulnerable and invulnerable regions of the hippocampus, such as CA2 pyramidal and dentate granule cells. Silver impregnation showed predominant CA1 injury at P20 and P30 but CA3 injury at P60 whereas little or no injury was found in extrahippocampal structures at P14 and P20 but was modest at P30 and maximal at P60. Thus, at young ages there was an apparent dissociation between high (45)Ca(2+) accumulations and neurotoxicity whereas in adults a closer relationship was observed, particularly in the extrahippocampal structures.
Spectroelectrochemistry and voltammetry contain both unique and complementary information. For multielectron transfers, information on each electron exchange is only directly accessible in the voltammetric data if the potentials are well separated so that two distinct waves can be observed. If the E°'s are close together, the voltammetric data will contain the sum of the two exchanges which can only be deconvoluted by modeling the system and solving the appropriate equations. On the other hand, the spectroscopic data contains direct information on each electron exchange even when the E°'s are close together. Unfortunately, this information cannot be readily extracted if the intermediate oxidation state does not have a potential region where it is the dominant species. Chemometric methods such as factor analysis though can be used to deduce the spectra of each species even if they don't dominate in any potential region. Initial work on the application of factor analysis to spectroelectrochemistry has been reported. Traditional methods of electroanalytical analysis are based on models that relate the concentration of electroactive materials to electrode potentials and solution concentrations. The model and parameters are adjusted to obtain the best fit to a model. Chemometric methods such as factor analysis allow the experimenter to determine solution concentrations without knowledge of the precise electrochemical mechanism. The utility of this approach will be demonstrated by the study of a protein, E. coli sulfite reductase hemoprotein, which is capable of transferring two-electrons and the ΔE° values are less than 100 mV, causing the waves to overlap. With these methods more detailed information on the electron transfer rate and associated kinetics processes can be more clearly identified.
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