Literature DB >> 19229885

Fluorescence-based analysis of enzymes at the single-molecule level.

Kerstin Blank1, Gert De Cremer, Johan Hofkens.   

Abstract

Enzymes, and proteins in general, consist of a dynamic ensemble of different conformations, which fluctuate around an average structure. Single-molecule experiments are a powerful tool to obtain information about these conformations and their contributions to the catalytic reaction. In contrast to classical ensemble measurements, which average over the whole population, single-molecule experiments are able to detect conformational heterogeneities, to identify transient or rare conformations, to follow the time series of conformational changes and to reveal parallel reaction pathways. A number of single-molecule studies with enzymes have proven this potential showing that the activity of individual enzymes varies between different molecules and that the catalytic rate constants fluctuate over time. From a practical point of view this review focuses on fluorescence-based methods that have been used to study enzymes at the single-molecule level. Since the first proof-of-principle experiments a wide range of different methods have been developed over the last 10 years and the methodology now needs to be applied to answer questions of biological relevance, for example about conformational changes induced by allosteric effectors or mutations.

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Year:  2009        PMID: 19229885     DOI: 10.1002/biot.200800262

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  6 in total

1.  Total internal reflection fluorescence microscopy imaging-guided confocal single-molecule fluorescence spectroscopy.

Authors:  Desheng Zheng; Leonora Kaldaras; H Peter Lu
Journal:  Rev Sci Instrum       Date:  2012-01       Impact factor: 1.523

2.  Probing conformational dynamics of an enzymatic active site by an in situ single fluorogenic probe under piconewton force manipulation.

Authors:  Nibedita Pal; Meiling Wu; H Peter Lu
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-08       Impact factor: 11.205

3.  Single-molecule enzymatic conformational dynamics: spilling out the product molecules.

Authors:  Desheng Zheng; H Peter Lu
Journal:  J Phys Chem B       Date:  2014-07-28       Impact factor: 2.991

4.  Stochastic kinetics on networks: when slow is fast.

Authors:  Xin Li; Anatoly B Kolomeisky; Angelo Valleriani
Journal:  J Phys Chem B       Date:  2014-08-27       Impact factor: 2.991

5.  Single Molecule Bioelectronics and Their Application to Amplification-Free Measurement of DNA Lengths.

Authors:  O Tolga Gül; Kaitlin M Pugliese; Yongki Choi; Patrick C Sims; Deng Pan; Arith J Rajapakse; Gregory A Weiss; Philip G Collins
Journal:  Biosensors (Basel)       Date:  2016-06-24

6.  Plasmon-Enhanced Single-Molecule Enzymology.

Authors:  Yuyang Wang; Peter Zijlstra
Journal:  ACS Photonics       Date:  2018-05-23       Impact factor: 7.529

  6 in total

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