Literature DB >> 27434647

Coupling and Decoupling of Rotational and Translational Diffusion of Proteins under Crowding Conditions.

Matthias Roos1, Maria Ott1, Marius Hofmann2, Susanne Link1, Ernst Rössler2, Jochen Balbach1, Alexey Krushelnitsky1, Kay Saalwächter1.   

Abstract

Molecular motion of biopolymers in vivo is known to be strongly influenced by the high concentration of organic matter inside cells, usually referred to as crowding conditions. To elucidate the effect of intermolecular interactions on Brownian motion of proteins, we performed (1)H pulsed-field gradient NMR and fluorescence correlation spectroscopy (FCS) experiments combined with small-angle X-ray scattering (SAXS) and viscosity measurements for three proteins, αB-crystalline (αBc), bovine serum albumin, and hen egg-white lysozyme (HEWL) in aqueous solution. Our results demonstrate that long-time translational diffusion quantitatively follows the expected increase of macro-viscosity upon increasing the protein concentration in all cases, while rotational diffusion as assessed by polarized FCS and previous multi-frequency (1)H NMR relaxometry experiments reveals protein-specific behavior spanning the full range between the limiting cases of full decoupling from (αBc) and full coupling to (HEWL) the macro-viscosity. SAXS was used to study the interactions between the proteins in solution, whereby it is shown that the three cases cover the range between a weakly interacting hard-sphere system (αBc) and screened Coulomb repulsion combined with short-range attraction (HEWL). Our results, as well as insights from the recent literature, suggest that the unusual rotational-translational coupling may be due to anisotropic interactions originating from hydrodynamic shape effects combined with high charge and possibly a patchy charge distribution.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27434647     DOI: 10.1021/jacs.6b06615

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  20 in total

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

Authors:  Michael Feig; Yuji Sugita
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

3.  Charge Shielding Prevents Aggregation of Supercharged GFP Variants at High Protein Concentration.

Authors:  Joshua R Laber; Barton J Dear; Matheus L Martins; Devin E Jackson; Andrea DiVenere; Jimmy D Gollihar; Andrew D Ellington; Thomas M Truskett; Keith P Johnston; Jennifer A Maynard
Journal:  Mol Pharm       Date:  2017-09-18       Impact factor: 4.939

4.  High-Throughput Screening of Protein-Detergent Complexes Using Fluorescence Polarization Spectroscopy.

Authors:  Aaron J Wolfe; Kyle J Parella; Liviu Movileanu
Journal:  Curr Protoc Protein Sci       Date:  2019-09

5.  Cosolutes, Crowding, and Protein Folding Kinetics.

Authors:  Annelise H Gorensek-Benitez; Austin E Smith; Samantha S Stadmiller; Gerardo M Perez Goncalves; Gary J Pielak
Journal:  J Phys Chem B       Date:  2017-06-29       Impact factor: 2.991

6.  Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm.

Authors:  Isseki Yu; Takaharu Mori; Tadashi Ando; Ryuhei Harada; Jaewoon Jung; Yuji Sugita; Michael Feig
Journal:  Elife       Date:  2016-11-01       Impact factor: 8.140

7.  NMR and dynamic light scattering give different diffusion information for short-living protein oligomers. Human serum albumin in water solutions of metal ions.

Authors:  A M Kusova; A K Iskhakova; Yu F Zuev
Journal:  Eur Biophys J       Date:  2022-06-10       Impact factor: 1.733

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

Authors:  Grzegorz Nawrocki; Po-Hung Wang; Isseki Yu; Yuji Sugita; Michael Feig
Journal:  J Phys Chem B       Date:  2017-11-30       Impact factor: 2.991

9.  Crowding in Cellular Environments at an Atomistic Level from Computer Simulations.

Authors:  Michael Feig; Isseki Yu; Po-Hung Wang; Grzegorz Nawrocki; Yuji Sugita
Journal:  J Phys Chem B       Date:  2017-07-12       Impact factor: 2.991

10.  Hemoglobin diffusion and the dynamics of oxygen capture by red blood cells.

Authors:  Stéphane Longeville; Laura-Roxana Stingaciu
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.