Literature DB >> 25306977

Concentration dependence of translational diffusion coefficients for globular proteins.

David J Scott1, Stephen E Harding, Donald J Winzor.   

Abstract

This investigation examines published results of traditional diffusion experiments on ovalbumin and bovine serum albumin to determine the extent to which assumed concentration independence of the translational diffusion coefficient is a reasonable approximation in the analysis of boundary spreading in sedimentation velocity experiments on proteins. Although significant positive concentration dependence of the diffusion coefficient (D) for both proteins is predicted by current theories, none has been detected in these experimental diffusion studies performed under the constraints of constant temperature and solvent chemical potential (those also pertinent to sedimentation velocity). Instead, the results are better described by the relatively minor concentration dependence predicted by considering solution viscosity to be an additional source of D-c dependence. Inasmuch as the predicted variation in D for solutions with concentrations below 10 mg mL(-1) is within the uncertainty of experimental estimates, these findings support use of the approximate solution of the Lamm equation developed by Fujita for the quantitative analysis of boundary spreading in sedimentation velocity experiments on proteins.

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Year:  2014        PMID: 25306977     DOI: 10.1039/c4an01060d

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  10 in total

1.  Response to Comment to the Editor.

Authors:  Theodore W Randolph
Journal:  Biophys J       Date:  2017-08-08       Impact factor: 4.033

Review 2.  Foreword to 'Quantitative and analytical relations in biochemistry'-a special issue in honour of Donald J. Winzor's 80th birthday.

Authors:  Damien Hall; Stephen E Harding
Journal:  Biophys Rev       Date:  2016-11-04

3.  Allowance for radial dilution in evaluating the concentration dependence of sedimentation coefficients for globular proteins.

Authors:  Trushar R Patel; Donald J Winzor; David J Scott
Journal:  Eur Biophys J       Date:  2017-10-04       Impact factor: 1.733

Review 4.  Allowance for boundary sharpening in the determination of diffusion coefficients by sedimentation velocity: a historical perspective.

Authors:  Donald J Winzor; David J Scott
Journal:  Biophys Rev       Date:  2018-01-27

5.  Biophysical Reviews' "meet the editors series"-a profile of Steve Harding's career in macromolecular hydrodynamics.

Authors:  Stephen E Harding
Journal:  Biophys Rev       Date:  2022-06-25

Review 6.  Assessing sedimentation equilibrium profiles in analytical ultracentrifugation experiments on macromolecules: from simple average molecular weight analysis to molecular weight distribution and interaction analysis.

Authors:  Stephen E Harding; Richard B Gillis; Gary G Adams
Journal:  Biophys Rev       Date:  2016-11-22

7.  Glargine and degludec: Solution behaviour of higher dose synthetic insulins.

Authors:  Gary G Adams; Qushmua Alzahrani; Shahwar I Jiwani; Andrew Meal; Paul S Morgan; Frank Coffey; Samil Kok; Arthur J Rowe; Stephen E Harding; Naomi Chayen; Richard B Gillis
Journal:  Sci Rep       Date:  2017-08-04       Impact factor: 4.379

8.  The Investigation of Protein Diffusion via H-Cell Microfluidics.

Authors:  Miao Yu; Tiago Castanheira Silva; Andries van Opstal; Stefan Romeijn; Hayley A Every; Wim Jiskoot; Geert-Jan Witkamp; Marcel Ottens
Journal:  Biophys J       Date:  2019-01-22       Impact factor: 4.033

Review 9.  Quantifying the concentration dependence of sedimentation coefficients for globular macromolecules: a continuing age-old problem.

Authors:  Donald J Winzor; Vlad Dinu; David J Scott; Stephen E Harding
Journal:  Biophys Rev       Date:  2021-04-10

10.  Measuring macromolecular size distributions and interactions at high concentrations by sedimentation velocity.

Authors:  Sumit K Chaturvedi; Jia Ma; Patrick H Brown; Huaying Zhao; P Schuck
Journal:  Nat Commun       Date:  2018-10-24       Impact factor: 14.919

  10 in total

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