Literature DB >> 18315085

The effect of hydrodynamic interactions on the dynamics of DNA translocation through pores.

Aslin Izmitli1, David C Schwartz, Michael D Graham, Juan J de Pablo.   

Abstract

In this work, we investigate the effect of hydrodynamic interactions on the dynamics of DNA translocation through micropores. We simulate DNA as a bead-spring chain and use a lattice Boltzmann method to simulate the flow field that arises from the motion of the molecule. We investigate the free-draining entrance of DNA to the pore by diffusion and find that, consistent with experiments, molecules have a higher probability of entering the pore from one end. We then consider the electric-field driven translocation of 21-210 microm DNA with and without hydrodynamic interactions. Consistent with experiments, we study translocation events that are much shorter than the relaxation time of DNA. We find that the effect of hydrodynamic interactions on this process is to cause different regions of a molecule, other than the ones pulled by voltage or chain connectivity into the pore, to move toward the pore. We quantify this effect and show that it is smaller than the difference in the translocation dynamics of chains that arises from different initial configurations of the molecules. A power-law scaling of translocation time with chain length is observed, with exponents of 1.28+/-0.03 and 1.31+/-0.03 in simulations with and without hydrodynamic interactions, respectively. Our results are in good agreement with recent translocation experiments conducted in small pores and show that, for the regime considered in this work, hydrodynamic interactions play a minor role in the relation of the translocation time to chain length. For fast translocation processes, the effect of hydrodynamic interactions is local and the main factor determining the dynamics of DNA is the initial configuration of the molecules.

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Year:  2008        PMID: 18315085     DOI: 10.1063/1.2831777

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  10 in total

1.  Cooperative translocation dynamics of biopolymer chains through nanopores in a membrane: Slow dynamics limit.

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2.  Analysis of a DNA simulation model through hairpin melting experiments.

Authors:  Margaret C Linak; Kevin D Dorfman
Journal:  J Chem Phys       Date:  2010-09-28       Impact factor: 3.488

3.  Separation of DNA by length in rotational flow: Lattice-Boltzmann-based simulations.

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Journal:  Biomicrofluidics       Date:  2015-07-27       Impact factor: 2.800

4.  Smooth DNA transport through a narrowed pore geometry.

Authors:  Spencer Carson; James Wilson; Aleksei Aksimentiev; Meni Wanunu
Journal:  Biophys J       Date:  2014-11-18       Impact factor: 4.033

5.  Self-consistent description of electrokinetic phenomena in particle-based simulations.

Authors:  Juan P Hernández-Ortiz; Juan J de Pablo
Journal:  J Chem Phys       Date:  2015-07-07       Impact factor: 3.488

6.  Hydrodynamics of DNA confined in nanoslits and nanochannels.

Authors:  Kevin D Dorfman; Damini Gupta; Aashish Jain; Abhiram Muralidhar; Douglas R Tree
Journal:  Eur Phys J Spec Top       Date:  2014-12-01       Impact factor: 2.707

7.  Role of non-equilibrium conformations on driven polymer translocation.

Authors:  H H Katkar; M Muthukumar
Journal:  J Chem Phys       Date:  2018-01-14       Impact factor: 3.488

8.  Theoretical study of the transpore velocity control of single-stranded DNA.

Authors:  Weixin Qian; Kentaro Doi; Satoshi Uehara; Kaito Morita; Satoyuki Kawano
Journal:  Int J Mol Sci       Date:  2014-08-11       Impact factor: 5.923

9.  Translocation of a Polymer through a Crowded Channel under Electrical Force.

Authors:  Tingting Sun; Yunxin Gen; Hujun Xie; Zhouting Jiang; Zhiyong Yang
Journal:  Biomed Res Int       Date:  2017-03-26       Impact factor: 3.411

10.  Lateral migration of electrospun hydrogel nanofilaments in an oscillatory flow.

Authors:  Sylwia Pawłowska; Paweł Nakielski; Filippo Pierini; Izabela K Piechocka; Krzysztof Zembrzycki; Tomasz A Kowalewski
Journal:  PLoS One       Date:  2017-11-15       Impact factor: 3.240

  10 in total

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