Monomer dynamics in single- and double-stranded DNA coils View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-09-03

AUTHORS

J. Tothova, B. Brutovsky, V. Lisy

ABSTRACT

.In our paper (Tothova et al., Czech. J. Phys. 55, 221 (2005)), the first observation of the kinetics of individual polymer monomers using the fluorescence correlation technique (R. Shusterman et al., Phys. Rev. Lett. 92, 048303 (2004)) has been interpreted within the bead-spring theory. Optimizing the joint Rouse-Zimm model to the experimental data, the phenomenological parameters for the statistical-mechanical description of the universal behavior of double- and single-stranded DNA and the dominant types of their dynamics have been determined. Recently, these data have been corrected (R. Shusterman et al., Phys. Rev. Lett. 98, 029901 (2007)). In the present work, the fits of the theory to the new data are given. The main conclusions of our preceding paper remain unchanged but some of the polymer parameters have changed. The new data allow a significantly better agreement with the theory than the previous ones. Our calculations confirm that dsDNA follows mainly the classical Zimm-type kinetics rather than the Rouse one as it was proposed by Shusterman et al. Single-stranded DNA also behaves predominantly as the Zimm polymer. To support these conclusions, we analyze the draining effects on the monomer dynamics and the applicability of simple “universal” laws, according to which the monomer mean square displacement scales with the time as t1/2 and t2/3 for the Rouse and Zimm polymers, respectively. More... »

PAGES

61-67

References to SciGraph publications

  • 1999-04. Sequence-dependent mechanics of single DNA molecules in NATURE STRUCTURAL & MOLECULAR BIOLOGY
  • 2005-02. Single monomer dynamics in DNA polymers in CZECHOSLOVAK JOURNAL OF PHYSICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1140/epje/i2007-10213-5

    DOI

    http://dx.doi.org/10.1140/epje/i2007-10213-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1046706134

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/17767377


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