Literature DB >> 15095986

Effect of crowding on protein-protein association rates: fundamental differences between low and high mass crowding agents.

Noga Kozer1, Gideon Schreiber.   

Abstract

Physiological media constitutes a crowded environment that serves as the field of action for protein-protein interaction in vivo. Measuring protein-protein interaction in crowded solutions can mimic this environment. In this work we follow the process of protein-protein association and its rate constants (k(on)) of the beta-lactamase (TEM)-beta-lactamase inhibitor protein (BLIP) complex in crowded solution using both low and high molecular mass crowding agents. In all crowded solutions (0-40% (w/w) of ethylene glycol (EG), poly(ethylene glycol) (PEG) 200, 1000, 3350, 8000 Da Ficoll-70 and Haemaccel the measured absolute k(on), but not k(off) values, were found to be slower as compared to buffer. However, there is a fundamental difference between low and high mass crowding agents. In the presence of low mass crowding agents and Haemaccel k(on) depends inversely on the solution viscosity. In high mass polymer solutions k(on) changes only slightly, even at viscosities 12-fold higher than water. The border between low and high molecular mass polymers is sharp and is dictated by the ratio between the polymer length (L) and its persistence length (Lp). Polymers that are long enough to form a flexible coil (L/Lp > 2) behave as high molecular mass polymers and those who are unable to do so (L/Lp < 2) behave as low molecular mass polymers. We concluded that although polymers solution are crowded, this property is not uniform; i.e. there are areas in the solution that contain bulk water, and in these areas proteins can diffuse and associate almost as if they were in diluted environment. This porous medium may be taken as mimicking some aspects of the cellular environment, where many of the macromolecules are organized along membranes and the cytoskeleton. To determine the contribution of electrostatic attraction between proteins in crowded milieu, we followed k(on) of wt-TEM and three BLIP analogs with up to 100-fold increased values of k(on) due to electrostatic steering. Faster associating BLIP variants keep their relative advantage in all crowded solutions, including Haemaccel. This result suggests that faster associating protein complexes keep their advantage also in complex environment.

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Year:  2004        PMID: 15095986     DOI: 10.1016/j.jmb.2003.12.008

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  33 in total

1.  Protein-binding dynamics imaged in a living cell.

Authors:  Yael Phillip; Vladimir Kiss; Gideon Schreiber
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

2.  A computational approach to increase time scales in Brownian dynamics-based reaction-diffusion modeling.

Authors:  Zachary Frazier; Frank Alber
Journal:  J Comput Biol       Date:  2012-06       Impact factor: 1.479

3.  A high-throughput method for detection of protein self-association and second virial coefficient using size-exclusion chromatography through simultaneous measurement of concentration and scattered light intensity.

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4.  Coarse-grained molecular simulation of diffusion and reaction kinetics in a crowded virtual cytoplasm.

Authors:  Douglas Ridgway; Gordon Broderick; Ana Lopez-Campistrous; Melania Ru'aini; Philip Winter; Matthew Hamilton; Pierre Boulanger; Andriy Kovalenko; Michael J Ellison
Journal:  Biophys J       Date:  2008-01-30       Impact factor: 4.033

5.  Effect of macromolecular crowding on reaction rates: a computational and theoretical study.

Authors:  Jun Soo Kim; Arun Yethiraj
Journal:  Biophys J       Date:  2009-02-18       Impact factor: 4.033

6.  Common crowding agents have only a small effect on protein-protein interactions.

Authors:  Yael Phillip; Eilon Sherman; Gilad Haran; Gideon Schreiber
Journal:  Biophys J       Date:  2009-08-05       Impact factor: 4.033

Review 7.  Macromolecular crowding and confinement: biochemical, biophysical, and potential physiological consequences.

Authors:  Huan-Xiang Zhou; Germán Rivas; Allen P Minton
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

Review 8.  Protein-protein interactions in a crowded environment.

Authors:  Apratim Bhattacharya; Young C Kim; Jeetain Mittal
Journal:  Biophys Rev       Date:  2013-04-16

9.  Comparative Effects of Ions, Molecular Crowding, and Bulk DNA on the Damage Search Mechanisms of hOGG1 and hUNG.

Authors:  Shannen L Cravens; James T Stivers
Journal:  Biochemistry       Date:  2016-09-07       Impact factor: 3.162

10.  Stochastic analysis of the SOS response in Escherichia coli.

Authors:  Yishai Shimoni; Shoshy Altuvia; Hanah Margalit; Ofer Biham
Journal:  PLoS One       Date:  2009-05-08       Impact factor: 3.240

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