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Originally published as Biophys J. BioFAST on May 11, 2007.
doi:10.1529/biophysj.106.097915
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Biophysical Journal 93:795-805 (2007)
© 2007 The Biophysical Society

Step Length Measurement—Theory and Simulation for Tethered Bead Constant-Force Single Molecule Assay

Anders E. Wallin *, Ari Salmi * and Roman Tuma {dagger}

* Department of Physical Sciences, and {dagger} Institute of Biotechnology, University of Helsinki, Helsinki, Finland

Correspondence: Address reprint requests to A. E. Wallin, Tel.: 358-9-191-50-698; E-mail: anders.wallin{at}helsinki.fi.

Linear molecular motors translocate along polymeric tracks using discrete steps. The step length is usually measured using constant-force single molecule experiments in which the polymer is tethered to a force-clamped microsphere. During the enzymatic cycle the motor shortens the tether contour length. Experimental conditions influence the achievable step length resolution, and ideally experiments should be conducted with high clamp-force using slow motors linked to small beads via stiff short tethers. We focus on the limitations that the polymer-track flexibility, the thermal motion of the microsphere, and the motor kinetics pose for step-length measurement in a typical optical tweezers experiment. An expression for the signal/noise ratio in a constant-force, worm-like chain tethered particle, single-molecule experiment is developed. The signal/noise ratio is related to the Fourier transform of the pairwise distance distribution, commonly used to determine step length from a time-series. Monte Carlo simulations verify the proposed theory for experimental parameter values typically encountered with molecular motors (polymerases and helicases) translocating along single- or double-stranded nucleic acids. The predictions are consistent with recent experimental results for double-stranded DNA tethers. Our results map favorable experimental conditions for observing single motor steps on various substrates but indicate that principal resolution limits are set by thermal fluctuations.







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Copyright © 2007 by the Biophysical Society.