Literature DB >> 24359741

Extracellular allosteric Na(+) binding to the Na(+),K(+)-ATPase in cardiac myocytes.

Alvaro Garcia1, Natasha A S Fry1, Keyvan Karimi1, Chia-chi Liu1, Hans-Jürgen Apell2, Helge H Rasmussen3, Ronald J Clarke4.   

Abstract

Whole-cell patch-clamp measurements of the current, Ip, produced by the Na(+),K(+)-ATPase across the plasma membrane of rabbit cardiac myocytes show an increase in Ip over the extracellular Na(+) concentration range 0-50 mM. This is not predicted by the classical Albers-Post scheme of the Na(+),K(+)-ATPase mechanism, where extracellular Na(+) should act as a competitive inhibitor of extracellular K(+) binding, which is necessary for the stimulation of enzyme dephosphorylation and the pumping of K(+) ions into the cytoplasm. The increase in Ip is consistent with Na(+) binding to an extracellular allosteric site, independent of the ion transport sites, and an increase in turnover via an acceleration of the rate-determining release of K(+) to the cytoplasm, E2(K(+))2 → E1 + 2K(+). At normal physiological concentrations of extracellular Na(+) of 140 mM, it is to be expected that binding of Na(+) to the allosteric site would be nearly saturated. Its purpose would seem to be simply to optimize the enzyme's ion pumping rate under its normal physiological conditions. Based on published crystal structures, a possible location of the allosteric site is within a cleft between the α- and β-subunits of the enzyme.
Copyright © 2013 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24359741      PMCID: PMC3882478          DOI: 10.1016/j.bpj.2013.11.004

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  25 in total

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Authors:  F M Schuurmans Stekhoven; H G Swarts; J J de Pont; S L Bonting
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10.  Transmembrane Na+ and Ca2+ electrochemical gradients in cardiac muscle and their relationship to force development.

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6.  Predicting Absorption-Distribution Properties of Neuroprotective Phosphine-Borane Compounds Using In Silico Modeling and Machine Learning.

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7.  Intratumor mapping of intracellular water lifetime: metabolic images of breast cancer?

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8.  Mapping human brain capillary water lifetime: high-resolution metabolic neuroimaging.

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