Literature DB >> 28869217

Single-molecule techniques in biophysics: a review of the progress in methods and applications.

Helen Miller1, Zhaokun Zhou, Jack Shepherd, Adam J M Wollman, Mark C Leake.   

Abstract

Single-molecule biophysics has transformed our understanding of biology, but also of the physics of life. More exotic than simple soft matter, biomatter lives far from thermal equilibrium, covering multiple lengths from the nanoscale of single molecules to up to several orders of magnitude higher in cells, tissues and organisms. Biomolecules are often characterized by underlying instability: multiple metastable free energy states exist, separated by levels of just a few multiples of the thermal energy scale k B T, where k B is the Boltzmann constant and T absolute temperature, implying complex inter-conversion kinetics in the relatively hot, wet environment of active biological matter. A key benefit of single-molecule biophysics techniques is their ability to probe heterogeneity of free energy states across a molecular population, too challenging in general for conventional ensemble average approaches. Parallel developments in experimental and computational techniques have catalysed the birth of multiplexed, correlative techniques to tackle previously intractable biological questions. Experimentally, progress has been driven by improvements in sensitivity and speed of detectors, and the stability and efficiency of light sources, probes and microfluidics. We discuss the motivation and requirements for these recent experiments, including the underpinning mathematics. These methods are broadly divided into tools which detect molecules and those which manipulate them. For the former we discuss the progress of super-resolution microscopy, transformative for addressing many longstanding questions in the life sciences, and for the latter we include progress in 'force spectroscopy' techniques that mechanically perturb molecules. We also consider in silico progress of single-molecule computational physics, and how simulation and experimentation may be drawn together to give a more complete understanding. Increasingly, combinatorial techniques are now used, including correlative atomic force microscopy and fluorescence imaging, to probe questions closer to native physiological behaviour. We identify the trade-offs, limitations and applications of these techniques, and discuss exciting new directions.

Entities:  

Year:  2018        PMID: 28869217     DOI: 10.1088/1361-6633/aa8a02

Source DB:  PubMed          Journal:  Rep Prog Phys        ISSN: 0034-4885


  34 in total

Review 1.  [Application of atomic force microscopy-based single molecule force spectroscopy in G-quadruplex studies].

Authors:  Wenjing Liu; Tong Sun; Ping Zhang; Lin Li; Junhong Lv; Bin Li
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-08-30

Review 2.  Recent advances in bioimaging with high-speed atomic force microscopy.

Authors:  Takayuki Uchihashi; Christian Ganser
Journal:  Biophys Rev       Date:  2020-03-15

3.  Extracting Transition Rates in Particle Tracking Using Analytical Diffusion Distribution Analysis.

Authors:  Jochem N A Vink; Stan J J Brouns; Johannes Hohlbein
Journal:  Biophys J       Date:  2020-10-04       Impact factor: 4.033

4.  The emergence of sequence-dependent structural motifs in stretched, torsionally constrained DNA.

Authors:  Jack W Shepherd; Robert J Greenall; Matt I J Probert; Agnes Noy; Mark C Leake
Journal:  Nucleic Acids Res       Date:  2020-02-28       Impact factor: 16.971

5.  Non-equilibrium structural dynamics of supercoiled DNA plasmids exhibits asymmetrical relaxation.

Authors:  Cynthia Shaheen; Cameron Hastie; Kimberly Metera; Shane Scott; Zhi Zhang; Sitong Chen; Gracia Gu; Lisa Weber; Brian Munsky; Fedor Kouzine; David Levens; Craig Benham; Sabrina Leslie
Journal:  Nucleic Acids Res       Date:  2022-03-21       Impact factor: 16.971

6.  The interplay of supercoiling and thymine dimers in DNA.

Authors:  Wilber Lim; Ferdinando Randisi; Jonathan P K Doye; Ard A Louis
Journal:  Nucleic Acids Res       Date:  2022-03-21       Impact factor: 16.971

7.  Unsupervised selection of optimal single-molecule time series idealization criterion.

Authors:  Argha Bandyopadhyay; Marcel P Goldschen-Ohm
Journal:  Biophys J       Date:  2021-09-04       Impact factor: 3.699

8.  Transcription factor clusters regulate genes in eukaryotic cells.

Authors:  Adam Jm Wollman; Sviatlana Shashkova; Erik G Hedlund; Rosmarie Friemann; Stefan Hohmann; Mark C Leake
Journal:  Elife       Date:  2017-08-25       Impact factor: 8.140

9.  Oriented Soft DNA Curtains for Single-Molecule Imaging.

Authors:  Aurimas Kopu Stas; Šaru Nė Ivanovaitė; Tomas Rakickas; Ernesta Pocevičiu Tė; Justė Paksaitė; Tautvydas Karvelis; Mindaugas Zaremba; Elena Manakova; Marijonas Tutkus
Journal:  Langmuir       Date:  2021-03-09       Impact factor: 3.882

Review 10.  Recent advances in integrated solid-state nanopore sensors.

Authors:  Mahmudur Rahman; Mohammad Julker Neyen Sampad; Aaron Hawkins; Holger Schmidt
Journal:  Lab Chip       Date:  2021-06-17       Impact factor: 7.517

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