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    Kinetic properties and electron paramagnetic resonance spectra of the nitric oxide derivative of hemoglobin components of trout (Salmo irideus).

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    The binding of nitric oxide to hemoglobin components of trout (Salmo irideus), i.e., Hb trout I and Hb trout IV, has been studied by optical and electron paramagnetic resonance spectroscopy. Kinetic studies show that the Root effect in Hb trout IV is operative also for NO, since a large increase in the dissociation velocity constant (j(4)) is observed as the pH is decreased below 7. Moreover, the time course of the displacement of NO by CO is heterogeneous, suggesting that alpha and beta chains may have different j(4) values. Low-temperature X-band electron paramagnetic resonance spectra have been recorded with Hb trout I and IV saturated with NO at different pH values. The spectra of Hb trout IV are strongly pH-dependent. The high-pH form (pH 8.1) shows axial symmetry and no resolved hyperfine splitting, while the low-pH form is rhombic with a hyperfine splitting of 6.5 G in the g(z) region. The latter form reflects a more distorted site with a more significant delocalization of the unpaired electron on the proximal histidine; both features indicate a destabilization of the ligand binding at low pH. On the other hand, spectra of Hb trout I are axial at both pH values, with hyperfine splitting of 16.5 G, indicating that the site is not distorted and interacts with the ligand very strongly at either pH

    COPPER(I) TRANSFER INTO METALLOTHIONEIN MEDIATED BY GLUTATHIONE

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    Rabbit liver metallothionein depleted of Cd(II) and Zn(II) was fully reconstituted using a Cu(I)-GSH complex under strictly anaerobic conditions. Anaerobic fluorescence titration, using an emission band at 625 nm which is diagnostic of the correct insertion of Cu(I) into the thiolate clusters of metallothionein, showed that the fluorescence maximum was obtained on addition of as many Cu(I) equivalents as the available Cu(I)-binding sites in the protein (i.e. 12). Binding was nearly complete within 1 min, and Cu(I)-GSH was much more efficient than Cu(I)-thiourea or Cu(I)-acetonitrile in metallothionein reconstitution. In air, full reconstitution was obtained with stoichiometric copper only when an excess of GSH was present in the reaction mixture. Cu(I)-GSH was also able to displace Zn(II) and Cd(II) from natural metallized thionein. It is concluded that: (a) Cu(I)-GSH is a potential physiological Cu(I) carrier, not only for Cu2+/Zn2+ superoxide dismutase [Ciriolo, Desideri, Paci and Rotilio (1990) J. Biol. Chem. 265, 11030-11034] but also for metallothionein; (b) in the case of metallothionein, physiological concentrations of GSH protect the protein from autoxidation in air and facilitate Cu(I)-thiolate exchange; (c) the natural metal composition of metallothionein may be related to metal bioavailability rather than to evolutionary changes in protein structure

    Decay of oxyperoxidase and oxygen radicals; a possible role for myeloperoxidase.

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    The formation of superoxide anion during the decay of oxyperoxidase to ferric peroxidase was detected by using a spectrophotometric assay based on the use of adrenaline. The finding that peroxidase is a potential source of superoxide suggests a possible role for myeloperoxidase in leucocytes

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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