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dc.contributor.authorSerag, Maged F.
dc.contributor.authorHabuchi, Satoshi
dc.date.accessioned2017-06-08T09:42:43Z
dc.date.available2017-06-08T09:42:43Z
dc.date.issued2017-06-06
dc.identifier.citationSerag MF, Habuchi S (2017) Conserved linear dynamics of single-molecule Brownian motion. Nature Communications 8: 15675. Available: http://dx.doi.org/10.1038/ncomms15675.
dc.identifier.issn2041-1723
dc.identifier.pmid28585925
dc.identifier.doi10.1038/ncomms15675
dc.identifier.urihttp://hdl.handle.net/10754/624878
dc.description.abstractMacromolecular diffusion in homogeneous fluid at length scales greater than the size of the molecule is regarded as a random process. The mean-squared displacement (MSD) of molecules in this regime increases linearly with time. Here we show that non-random motion of DNA molecules in this regime that is undetectable by the MSD analysis can be quantified by characterizing the molecular motion relative to a latticed frame of reference. Our lattice occupancy analysis reveals unexpected sub-modes of motion of DNA that deviate from expected random motion in the linear, diffusive regime. We demonstrate that a subtle interplay between these sub-modes causes the overall diffusive motion of DNA to appear to conform to the linear regime. Our results show that apparently random motion of macromolecules could be governed by non-random dynamics that are detectable only by their relative motion. Our analytical approach should advance broad understanding of diffusion processes of fundamental relevance.
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) and the KAUST Office of Sponsored Research (OSR) under Award No. CRF-2015-2646-CRG4. We would like to thank Matthijs van Waveren, Antonio M. Arena and Alain Clo of KAUST IT Research Computing and Amine El Helou of MathWorks Ltd for their precious help in speeding up the MATLAB analysis and for providing the KAUST high performance computing (HPC) Add-on for the direct submission of the MATLAB script to the KAUST Noor computer clusters. We thank Virginia Unkefer and Lina Mynar for editing the manuscript.
dc.publisherSpringer Nature
dc.relation.urlhttps://www.nature.com/articles/ncomms15675
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleConserved linear dynamics of single-molecule Brownian motion
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.identifier.journalNature Communications
dc.eprint.versionPublisher's Version/PDF
kaust.personSerag, Maged F.
kaust.personHabuchi, Satoshi
kaust.grant.numberCRF-2015-2646-CRG4
refterms.dateFOA2018-06-13T10:49:15Z
dc.date.published-online2017-06-06
dc.date.published-print2017-08


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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/