Literature DB >> 28452496

Thermodynamic Paradigm for Solution Demixing Inspired by Nuclear Transport in Living Cells.

Ching-Hao Wang1, Pankaj Mehta1, Michael Elbaum2.   

Abstract

Living cells display a remarkable capacity to compartmentalize their functional biochemistry. A particularly fascinating example is the cell nucleus. Exchange of macromolecules between the nucleus and the surrounding cytoplasm does not involve traversing a lipid bilayer membrane. Instead, large protein channels known as nuclear pores cross the nuclear envelope and regulate the passage of other proteins and RNA molecules. Beyond simply gating diffusion, the system of nuclear pores and associated transport receptors is able to generate substantial concentration gradients, at the energetic expense of guanosine triphosphate hydrolysis. In contrast to conventional approaches to demixing such as reverse osmosis and dialysis, the biological system operates continuously, without application of cyclic changes in pressure or solvent exchange. Abstracting the biological paradigm, we examine this transport system as a thermodynamic machine of solution demixing. Building on the construct of free energy transduction and biochemical kinetics, we find conditions for the stable operation and optimization of the concentration gradients as a function of dissipation in the form of entropy production.

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Year:  2017        PMID: 28452496      PMCID: PMC5519409          DOI: 10.1103/PhysRevLett.118.158101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  44 in total

1.  Kinetic analysis of translocation through nuclear pore complexes.

Authors:  K Ribbeck; D Görlich
Journal:  EMBO J       Date:  2001-03-15       Impact factor: 11.598

2.  Systems analysis of Ran transport.

Authors:  Alicia E Smith; Boris M Slepchenko; James C Schaff; Leslie M Loew; Ian G Macara
Journal:  Science       Date:  2002-01-18       Impact factor: 47.728

3.  Energy transduction of isothermal ratchets: generic aspects and specific examples close to and far from equilibrium.

Authors:  A Parmeggiani; F Jülicher; A Ajdari; J Prost
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1999-08

Review 4.  Optical single transporter recording: transport kinetics in microarrays of membrane patches.

Authors:  Reiner Peters
Journal:  Annu Rev Biophys Biomol Struct       Date:  2003-02-06

5.  Imaging of single-molecule translocation through nuclear pore complexes.

Authors:  Weidong Yang; Jeff Gelles; Siegfried M Musser
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-11       Impact factor: 11.205

6.  Enzymatically driven transport: a kinetic theory for nuclear export.

Authors:  Sanghyun Kim; M Elbaum
Journal:  Biophys J       Date:  2013-11-05       Impact factor: 4.033

7.  Nucleocytoplasmic transport: a thermodynamic mechanism.

Authors:  Ronen Benjamine Kopito; Michael Elbaum
Journal:  HFSP J       Date:  2009-03-18

8.  Thermodynamics of statistical inference by cells.

Authors:  Alex H Lang; Charles K Fisher; Thierry Mora; Pankaj Mehta
Journal:  Phys Rev Lett       Date:  2014-10-03       Impact factor: 9.161

9.  Dissipation Bounds All Steady-State Current Fluctuations.

Authors:  Todd R Gingrich; Jordan M Horowitz; Nikolay Perunov; Jeremy L England
Journal:  Phys Rev Lett       Date:  2016-03-21       Impact factor: 9.161

Review 10.  Structure, dynamics and function of nuclear pore complexes.

Authors:  Maximiliano A D'Angelo; Martin W Hetzer
Journal:  Trends Cell Biol       Date:  2008-09-09       Impact factor: 20.808

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  2 in total

Review 1.  Protein Transport by the Nuclear Pore Complex: Simple Biophysics of a Complex Biomachine.

Authors:  Tijana Jovanovic-Talisman; Anton Zilman
Journal:  Biophys J       Date:  2017-07-11       Impact factor: 4.033

2.  Physics of the Nuclear Pore Complex: Theory, Modeling and Experiment.

Authors:  Bart W Hoogenboom; Loren E Hough; Edward A Lemke; Roderick Y H Lim; Patrick R Onck; Anton Zilman
Journal:  Phys Rep       Date:  2021-03-24       Impact factor: 30.510

  2 in total

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