Literature DB >> 25296317

Determining intrachain diffusion coefficients for biopolymer dynamics from single-molecule force spectroscopy measurements.

Michael T Woodside1, John Lambert2, Kevin S D Beach2.   

Abstract

The conformational diffusion coefficient for intrachain motions in biopolymers, D, sets the timescale for structural dynamics. Recently, force spectroscopy has been applied to determine D both for unfolded proteins and for the folding transitions in proteins and nucleic acids. However, interpretation of the results remains unsettled. We investigated how instrumental effects arising from the force probes used in the measurement can affect the value of D recovered via force spectroscopy. We compared estimates of D for the folding of DNA hairpins found from measurements of rates and energy landscapes made using optical tweezers with estimates obtained from the same single-molecule trajectories via the transition path time. The apparent D obtained from the rates was much lower than the result found from the same data using transition time analysis, reflecting the effects of the mechanical properties of the force probe. Deconvolution of the finite compliance effects on the measurement allowed the intrinsic value to be recovered. These results were supported by Brownian dynamics simulations of the effects of force-probe compliance and bead size.
Copyright © 2014 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25296317      PMCID: PMC4190644          DOI: 10.1016/j.bpj.2014.08.007

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  36 in total

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3.  Nanomechanical measurements of the sequence-dependent folding landscapes of single nucleic acid hairpins.

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4.  Force unfolding kinetics of RNA using optical tweezers. I. Effects of experimental variables on measured results.

Authors:  Jin-Der Wen; Maria Manosas; Pan T X Li; Steven B Smith; Carlos Bustamante; Felix Ritort; Ignacio Tinoco
Journal:  Biophys J       Date:  2007-02-09       Impact factor: 4.033

5.  Improving signal/noise resolution in single-molecule experiments using molecular constructs with short handles.

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Authors:  Ionel Popa; Julio M Fernández; Sergi Garcia-Manyes
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7.  Transition path times for nucleic Acid folding determined from energy-landscape analysis of single-molecule trajectories.

Authors:  Krishna Neupane; Dustin B Ritchie; Hao Yu; Daniel A N Foster; Feng Wang; Michael T Woodside
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Authors:  Alessandro Borgia; Beth G Wensley; Andrea Soranno; Daniel Nettels; Madeleine B Borgia; Armin Hoffmann; Shawn H Pfeil; Everett A Lipman; Jane Clarke; Benjamin Schuler
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  17 in total

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3.  Extracting intrinsic dynamic parameters of biomolecular folding from single-molecule force spectroscopy experiments.

Authors:  Gi-Moon Nam; Dmitrii E Makarov
Journal:  Protein Sci       Date:  2015-07-14       Impact factor: 6.725

4.  Protein misfolding occurs by slow diffusion across multiple barriers in a rough energy landscape.

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5.  Reconstructing folding energy landscapes from splitting probability analysis of single-molecule trajectories.

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-26       Impact factor: 11.205

6.  Measuring the average shape of transition paths during the folding of a single biological molecule.

Authors:  Noel Q Hoffer; Krishna Neupane; Andrew G T Pyo; Michael T Woodside
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-05       Impact factor: 11.205

7.  Direct measurement of sequence-dependent transition path times and conformational diffusion in DNA duplex formation.

Authors:  Krishna Neupane; Feng Wang; Michael T Woodside
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-23       Impact factor: 11.205

8.  Comparing the energy landscapes for native folding and aggregation of PrP.

Authors:  Derek R Dee; Michael T Woodside
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9.  Quantifying Instrumental Artifacts in Folding Kinetics Measured by Single-Molecule Force Spectroscopy.

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Journal:  Biophys J       Date:  2016-06-29       Impact factor: 4.033

10.  Communication: Coordinate-dependent diffusivity from single molecule trajectories.

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Journal:  J Chem Phys       Date:  2017-11-28       Impact factor: 3.488

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