Literature DB >> 29151345

Slow-Down in Diffusion in Crowded Protein Solutions Correlates with Transient Cluster Formation.

Grzegorz Nawrocki1, Po-Hung Wang2, Isseki Yu2,3, Yuji Sugita2,3,4,5, Michael Feig1,4.   

Abstract

For a long time, the effect of a crowded cellular environment on protein dynamics has been largely ignored. Recent experiments indicate that proteins diffuse more slowly in a living cell than in a diluted solution, and further studies suggest that the diffusion depends on the local surroundings. Here, detailed insight into how diffusion depends on protein-protein contacts is presented based on extensive all-atom molecular dynamics simulations of concentrated villin headpiece solutions. After force field adjustments in the form of increased protein-water interactions to reproduce experimental data, translational and rotational diffusion was analyzed in detail. Although internal protein dynamics remained largely unaltered, rotational diffusion was found to slow down more significantly than translational diffusion as the protein concentration increased. The decrease in diffusion is interpreted in terms of a transient formation of protein clusters. These clusters persist on sub-microsecond time scales and follow distributions that increasingly shift toward larger cluster size with increasing protein concentrations. Weighting diffusion coefficients estimated for different clusters extracted from the simulations with the distribution of clusters largely reproduces the overall observed diffusion rates, suggesting that transient cluster formation is a primary cause for a slow-down in diffusion upon crowding with other proteins.

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Year:  2017        PMID: 29151345      PMCID: PMC5951686          DOI: 10.1021/acs.jpcb.7b08785

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  66 in total

1.  Equilibrium cluster formation in concentrated protein solutions and colloids.

Authors:  Anna Stradner; Helen Sedgwick; Frédéric Cardinaux; Wilson C K Poon; Stefan U Egelhaaf; Peter Schurtenberger
Journal:  Nature       Date:  2004-11-25       Impact factor: 49.962

2.  Predicting Protein Interactions of Concentrated Globular Protein Solutions Using Colloidal Models.

Authors:  Mahlet A Woldeyes; Cesar Calero-Rubio; Eric M Furst; Christopher J Roberts
Journal:  J Phys Chem B       Date:  2017-04-27       Impact factor: 2.991

3.  Exploring weak, transient protein--protein interactions in crowded in vivo environments by in-cell nuclear magnetic resonance spectroscopy.

Authors:  Qinghua Wang; Anastasia Zhuravleva; Lila M Gierasch
Journal:  Biochemistry       Date:  2011-10-05       Impact factor: 3.162

Review 4.  In-cell NMR and EPR spectroscopy of biomacromolecules.

Authors:  Robert Hänsel; Laura M Luh; Ivan Corbeski; Lukáš Trantirek; Volker Dötsch
Journal:  Angew Chem Int Ed Engl       Date:  2014-07-28       Impact factor: 15.336

5.  Variable interactions between protein crowders and biomolecular solutes are important in understanding cellular crowding.

Authors:  Michael Feig; Yuji Sugita
Journal:  J Phys Chem B       Date:  2011-12-12       Impact factor: 2.991

6.  Molecular evolution, intracellular organization, and the quinary structure of proteins.

Authors:  E H McConkey
Journal:  Proc Natl Acad Sci U S A       Date:  1982-05       Impact factor: 11.205

7.  Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ(1) and χ(2) dihedral angles.

Authors:  Robert B Best; Xiao Zhu; Jihyun Shim; Pedro E M Lopes; Jeetain Mittal; Michael Feig; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2012-07-18       Impact factor: 6.006

8.  Translational and rotational diffusion of a small globular protein under crowded conditions.

Authors:  Conggang Li; Yaqiang Wang; Gary J Pielak
Journal:  J Phys Chem B       Date:  2009-10-08       Impact factor: 2.991

Review 9.  The Emperor's new clothes: Myths and truths of in-cell NMR.

Authors:  Annalisa Pastore; Piero Andrea Temussi
Journal:  Arch Biochem Biophys       Date:  2017-03-01       Impact factor: 4.013

10.  Assessing the potential of atomistic molecular dynamics simulations to probe reversible protein-protein recognition and binding.

Authors:  Luciano A Abriata; Matteo Dal Peraro
Journal:  Sci Rep       Date:  2015-05-29       Impact factor: 4.379

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  23 in total

Review 1.  Whole-Cell Models and Simulations in Molecular Detail.

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Journal:  Annu Rev Cell Dev Biol       Date:  2019-07-12       Impact factor: 13.827

2.  Clustering and dynamics of crowded proteins near membranes and their influence on membrane bending.

Authors:  Grzegorz Nawrocki; Wonpil Im; Yuji Sugita; Michael Feig
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-18       Impact factor: 11.205

Review 3.  Computational approaches to macromolecular interactions in the cell.

Authors:  Ilya A Vakser; Eric J Deeds
Journal:  Curr Opin Struct Biol       Date:  2019-04-15       Impact factor: 6.809

Review 4.  Protein assembly and crowding simulations.

Authors:  Lim Heo; Yuji Sugita; Michael Feig
Journal:  Curr Opin Struct Biol       Date:  2022-02-23       Impact factor: 6.809

Review 5.  Mass spectrometry-based technologies for probing the 3D world of plant proteins.

Authors:  Matthew R Blackburn; Benjamin B Minkoff; Michael R Sussman
Journal:  Plant Physiol       Date:  2022-05-03       Impact factor: 8.005

6.  Colloidal systems with a short-range attraction and long-range repulsion: Phase diagrams, structures, and dynamics.

Authors:  Yun Liu; Yuyin Xi
Journal:  Curr Opin Colloid Interface Sci       Date:  2019-02       Impact factor: 6.448

7.  Intramolecular Diffusion in α-Synuclein: It Depends on How You Measure It.

Authors:  Jaie Woodard; Kinshuk R Srivastava; Gil Rahamim; Asaf Grupi; Steven Hogan; David J Witalka; Grzegorz Nawrocki; Elisha Haas; Michael Feig; Lisa J Lapidus
Journal:  Biophys J       Date:  2018-08-27       Impact factor: 4.033

8.  Charge-driven condensation of RNA and proteins suggests broad role of phase separation in cytoplasmic environments.

Authors:  Bercem Dutagaci; Grzegorz Nawrocki; Joyce Goodluck; Ali Akbar Ashkarran; Charles G Hoogstraten; Lisa J Lapidus; Michael Feig
Journal:  Elife       Date:  2021-01-26       Impact factor: 8.140

9.  CONAN: A Tool to Decode Dynamical Information from Molecular Interaction Maps.

Authors:  Davide Mercadante; Frauke Gräter; Csaba Daday
Journal:  Biophys J       Date:  2018-03-27       Impact factor: 4.033

10.  Reduced efficacy of a Src kinase inhibitor in crowded protein solution.

Authors:  Kento Kasahara; Suyong Re; Grzegorz Nawrocki; Hiraku Oshima; Chiemi Mishima-Tsumagari; Yukako Miyata-Yabuki; Mutsuko Kukimoto-Niino; Isseki Yu; Mikako Shirouzu; Michael Feig; Yuji Sugita
Journal:  Nat Commun       Date:  2021-07-02       Impact factor: 14.919

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