Literature DB >> 28620037

The more the merrier: high-throughput single-molecule techniques.

Flynn R Hill1, Enrico Monachino1,2, Antoine M van Oijen3.   

Abstract

The single-molecule approach seeks to understand molecular mechanisms by observing biomolecular processes at the level of individual molecules. These methods have led to a developing understanding that for many processes, a diversity of behaviours will be observed, representing a multitude of pathways. This realisation necessitates that an adequate number of observations are recorded to fully characterise this diversity. The requirement for large numbers of observations to adequately sample distributions, subpopulations, and rare events presents a significant challenge for single-molecule techniques, which by their nature do not typically provide very high throughput. This review will discuss many developing techniques which address this issue by combining nanolithographic approaches, such as zero-mode waveguides and DNA curtains, with single-molecule fluorescence microscopy, and by drastically increasing throughput of force-based approaches such as magnetic tweezers and laminar-flow techniques. These methods not only allow the collection of large volumes of single-molecule data in single experiments, but have also made improvements to ease-of-use, accessibility, and automation of data analysis.
© 2017 The Author(s); published by Portland Press Limited on behalf of the Biochemical Society.

Keywords:  DNA curtains; DNA replication; flow stretching; fluorescence microscopy; magnetic tweezers; single molecule

Mesh:

Substances:

Year:  2017        PMID: 28620037     DOI: 10.1042/BST20160137

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  6 in total

1.  High-Fidelity Single Molecule Quantification in a Flow Cytometer Using Multiparametric Optical Analysis.

Authors:  Lucas D Smith; Yang Liu; Mohammad U Zahid; Taylor D Canady; Liang Wang; Manish Kohli; Brian T Cunningham; Andrew M Smith
Journal:  ACS Nano       Date:  2020-02-07       Impact factor: 15.881

2.  Biochemistry: one molecule at a time.

Authors:  Dominika T Gruszka
Journal:  Essays Biochem       Date:  2021-04-16       Impact factor: 8.000

3.  Spatiotemporally controlled generation of NTPs for single-molecule studies.

Authors:  Anton Sabantsev; Guanzhong Mao; Javier Aguirre Rivera; Mikhail Panfilov; Anatolii Arseniev; Oanh Ho; Mikhail Khodorkovskiy; Sebastian Deindl
Journal:  Nat Chem Biol       Date:  2022-09-21       Impact factor: 16.174

4.  Single-molecule FRET and conformational analysis of beta-arrestin-1 through genetic code expansion and a Se-click reaction.

Authors:  Ming-Jie Han; Qing-Tao He; Mengyi Yang; Chao Chen; Yirong Yao; Xiaohong Liu; Yuchuan Wang; Zhong-Liang Zhu; Kong-Kai Zhu; Changxiu Qu; Fan Yang; Cheng Hu; Xuzhen Guo; Dawei Zhang; Chunlai Chen; Jin-Peng Sun; Jiangyun Wang
Journal:  Chem Sci       Date:  2021-05-31       Impact factor: 9.825

5.  A Python Toolbox for Unbiased Statistical Analysis of Fluorescence Intermittency of Multilevel Emitters.

Authors:  Isabelle M Palstra; A Femius Koenderink
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2021-05-20       Impact factor: 4.126

6.  Top-down machine learning approach for high-throughput single-molecule analysis.

Authors:  David S White; Marcel P Goldschen-Ohm; Randall H Goldsmith; Baron Chanda
Journal:  Elife       Date:  2020-04-08       Impact factor: 8.140

  6 in total

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