Literature DB >> 24559981

Diffusion coefficients of endogenous cytosolic proteins from rabbit skinned muscle fibers.

Brian E Carlson1, Jim O Vigoreaux2, David W Maughan3.   

Abstract

Efflux time courses of endogenous cytosolic proteins were obtained from rabbit psoas muscle fibers skinned in oil and transferred to physiological salt solution. Proteins were separated by gel electrophoresis and compared to load-matched standards for quantitative analysis. A radial diffusion model incorporating the dissociation and dissipation of supramolecular complexes accounts for an initial lag and subsequent efflux of glycolytic and glycogenolytic enzymes. The model includes terms representing protein crowding, myofilament lattice hindrance, and binding to the cytomatrix. Optimization algorithms returned estimates of the apparent diffusion coefficients, D(r,t), that were very low at the onset of diffusion (∼10(-10) cm(2) s(-1)) but increased with time as cytosolic protein density, which was initially high, decreased. D(r,t) at later times ranged from 2.11 × 10(-7) cm(2) s(-1) (parvalbumin) to 0.20 × 10(-7) cm(2) s(-1) (phosphofructose kinase), values that are 3.6- to 12.3-fold lower than those predicted in bulk water. The low initial values are consistent with the presence of complexes in situ; the higher later values are consistent with molecular sieving and transient binding of dissociated proteins. Channeling of metabolic intermediates via enzyme complexes may enhance production of adenosine triphosphate at rates beyond that possible with randomly and/or sparsely distributed enzymes, thereby matching supply with demand.
Copyright © 2014 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24559981      PMCID: PMC3944625          DOI: 10.1016/j.bpj.2013.12.044

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


  58 in total

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  4 in total

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Journal:  Biophys J       Date:  2021-08-10       Impact factor: 3.699

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Journal:  Nat Cell Biol       Date:  2020-06-29       Impact factor: 28.213

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  4 in total

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