Literature DB >> 25646767

Extraction of accurate biomolecular parameters from single-molecule force spectroscopy experiments.

Oliver E Farrance1, Emanuele Paci, Sheena E Radford, David J Brockwell.   

Abstract

The atomic force microscope (AFM) is able to manipulate biomolecules and their complexes with exquisite force sensitivity and distance resolution. This capability, complemented by theoretical models, has greatly improved our understanding of the determinants of mechanical strength in proteins and revealed the diverse effects of directional forces on the energy landscape of biomolecules. In unbinding experiments, the interacting partners are usually immobilized on their respective substrates via extensible linkers. These linkers affect both the force and contour length (Lc) of the complex at rupture. Surprisingly, while the former effect is well understood, the latter is largely neglected, leading to incorrect estimations of Lc, a parameter that is often used as evidence for the detection of specific interactions and remodeling events and for the inference of interaction regions. To address this problem, a model that predicts contour length measurements from single-molecule forced-dissociation experiments is presented that considers attachment position on the AFM tip, geometric effects, and polymer dynamics of the linkers. Modeled data are compared with measured contour length distributions from several different experimental systems, revealing that current methods underestimate contour lengths. The model enables nonspecific interactions to be identified unequivocally, allows accurate determination of Lc, and, by comparing experimental and modeled distributions, enables partial unfolding events before rupture to be identified unequivocally.

Entities:  

Keywords:  atomic force microscopy (AFM); contour length; freely jointed chain (FJC); single-molecule force spectroscopy (SMFS); worm-like chain (WLC)

Mesh:

Substances:

Year:  2015        PMID: 25646767     DOI: 10.1021/nn505135d

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  6 in total

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Authors:  Sibaprasad Maity; Yuri L Lyubchenko
Journal:  Jacobs J Mol Transl Med       Date:  2015-06-09

3.  Visualizing and trapping transient oligomers in amyloid assembly pathways.

Authors:  Emma E Cawood; Theodoros K Karamanos; Andrew J Wilson; Sheena E Radford
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4.  Amyloid misfolding, aggregation, and the early onset of protein deposition diseases: insights from AFM experiments and computational analyses.

Authors:  Yuri L Lyubchenko
Journal:  AIMS Mol Sci       Date:  2015-05-17

5.  Gating of TonB-dependent transporters by substrate-specific forced remodelling.

Authors:  Samuel J Hickman; Rachael E M Cooper; Luca Bellucci; Emanuele Paci; David J Brockwell
Journal:  Nat Commun       Date:  2017-04-21       Impact factor: 14.919

6.  A peptide-display protein scaffold to facilitate single molecule force studies of aggregation-prone peptides.

Authors:  Ciaran P A Doherty; Lydia M Young; Theodoros K Karamanos; Hugh I Smith; Matthew P Jackson; Sheena E Radford; David J Brockwell
Journal:  Protein Sci       Date:  2018-03-10       Impact factor: 6.725

  6 in total

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