Literature DB >> 23578465

Single molecule methods with applications in living cells.

Fredrik Persson1, Irmeli Barkefors, Johan Elf.   

Abstract

Our knowledge about dynamic processes in biological cells systems has been obtained roughly on two levels of detail; molecular level experiments with purified components in test tubes and system wide experiments with indirect readouts in living cells. However, with the development of single molecule methods for application in living cells, this partition has started to dissolve. It is now possible to perform detailed biophysical experiments at high temporal resolution and to directly observe processes at the level of molecules in living cells. In this review we present single molecule methods that can easily be implemented by readers interested to venture into this exciting and expanding field. We also review some recent studies where single molecule methods have been used successfully to answer biological questions as well as some of the most common pitfalls associated with these methods.
Copyright © 2013. Published by Elsevier Ltd.

Mesh:

Substances:

Year:  2013        PMID: 23578465     DOI: 10.1016/j.copbio.2013.03.013

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  10 in total

Review 1.  The bright future of single-molecule fluorescence imaging.

Authors:  Manuel F Juette; Daniel S Terry; Michael R Wasserman; Zhou Zhou; Roger B Altman; Qinsi Zheng; Scott C Blanchard
Journal:  Curr Opin Chem Biol       Date:  2014-06-21       Impact factor: 8.822

2.  Single-molecule spectroscopy of protein conformational dynamics in live eukaryotic cells.

Authors:  Iwo König; Arash Zarrine-Afsar; Mikayel Aznauryan; Andrea Soranno; Bengt Wunderlich; Fabian Dingfelder; Jakob C Stüber; Andreas Plückthun; Daniel Nettels; Benjamin Schuler
Journal:  Nat Methods       Date:  2015-07-06       Impact factor: 28.547

3.  Resolving Fast, Confined Diffusion in Bacteria with Image Correlation Spectroscopy.

Authors:  David J Rowland; Hannah H Tuson; Julie S Biteen
Journal:  Biophys J       Date:  2016-05-24       Impact factor: 4.033

Review 4.  A Critical Review on the Sensing, Control, and Manipulation of Single Molecules on Optofluidic Devices.

Authors:  Mahmudur Rahman; Kazi Rafiqul Islam; Md Rashedul Islam; Md Jahirul Islam; Md Rejvi Kaysir; Masuma Akter; Md Arifur Rahman; S M Mahfuz Alam
Journal:  Micromachines (Basel)       Date:  2022-06-18       Impact factor: 3.523

Review 5.  NMR-based investigations into target DNA search processes of proteins.

Authors:  Junji Iwahara; Levani Zandarashvili; Catherine A Kemme; Alexandre Esadze
Journal:  Methods       Date:  2018-05-10       Impact factor: 3.608

6.  Slow unloading leads to DNA-bound β2-sliding clamp accumulation in live Escherichia coli cells.

Authors:  M Charl Moolman; Sriram Tiruvadi Krishnan; Jacob W J Kerssemakers; Aafke van den Berg; Pawel Tulinski; Martin Depken; Rodrigo Reyes-Lamothe; David J Sherratt; Nynke H Dekker
Journal:  Nat Commun       Date:  2014-12-18       Impact factor: 14.919

7.  Single molecule super-resolution imaging of proteins in living Salmonella enterica using self-labelling enzymes.

Authors:  Britta Barlag; Oliver Beutel; Dennis Janning; Frederik Czarniak; Christian P Richter; Carina Kommnick; Vera Göser; Rainer Kurre; Florian Fabiani; Marc Erhardt; Jacob Piehler; Michael Hensel
Journal:  Sci Rep       Date:  2016-08-18       Impact factor: 4.379

Review 8.  Discrete-state stochastic kinetic models for target DNA search by proteins: Theory and experimental applications.

Authors:  Junji Iwahara; Anatoly B Kolomeisky
Journal:  Biophys Chem       Date:  2020-12-10       Impact factor: 2.352

9.  Single molecule tracking and analysis framework including theory-predicted parameter settings.

Authors:  Timo Kuhn; Johannes Hettich; Rubina Davtyan; J Christof M Gebhardt
Journal:  Sci Rep       Date:  2021-05-04       Impact factor: 4.379

Review 10.  Toward a systems-level view of dynamic phosphorylation networks.

Authors:  Robert H Newman; Jin Zhang; Heng Zhu
Journal:  Front Genet       Date:  2014-08-15       Impact factor: 4.599

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.