Literature DB >> 12543068

Using FRAP and mathematical modeling to determine the in vivo kinetics of nuclear proteins.

Gustavo Carrero1, Darin McDonald, Ellen Crawford, Gerda de Vries, Michael J Hendzel.   

Abstract

Fluorescence recovery after photobleaching (FRAP) has become a popular technique to investigate the behavior of proteins in living cells. Although the technique is relatively old, its application to studying endogenous intracellular proteins in living cells is relatively recent and is a consequence of the newly developed fluorescent protein-based living cell protein tags. This is particularly true for nuclear proteins, in which endogenous protein mobility has only recently been studied. Here we examine the experimental design and analysis of FRAP experiments. Mathematical modeling of FRAP data enables the experimentalist to extract information such as the association and dissociation constants, distribution of a protein between mobile and immobilized pools, and the effective diffusion coefficient of the molecule under study. As experimentalists begin to dissect the relative influence of protein domains within individual proteins, this approach will allow a quantitative assessment of the relative influences of different molecular interactions on the steady-state distribution and protein function in vivo.

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Year:  2003        PMID: 12543068     DOI: 10.1016/s1046-2023(02)00288-8

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  68 in total

1.  Analysis of binding reactions by fluorescence recovery after photobleaching.

Authors:  Brian L Sprague; Robert L Pego; Diana A Stavreva; James G McNally
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

Review 2.  Imaging gene expression in single living cells.

Authors:  Yaron Shav-Tal; Robert H Singer; Xavier Darzacq
Journal:  Nat Rev Mol Cell Biol       Date:  2004-10       Impact factor: 94.444

3.  Dissecting chromatin interactions in living cells from protein mobility maps.

Authors:  Fabian Erdel; Katharina Müller-Ott; Michael Baum; Malte Wachsmuth; Karsten Rippe
Journal:  Chromosome Res       Date:  2011-01       Impact factor: 5.239

Review 4.  Measurement of single-cell dynamics.

Authors:  David G Spiller; Christopher D Wood; David A Rand; Michael R H White
Journal:  Nature       Date:  2010-06-10       Impact factor: 49.962

5.  A quantitative approach to analyze binding diffusion kinetics by confocal FRAP.

Authors:  Minchul Kang; Charles A Day; Emmanuele DiBenedetto; Anne K Kenworthy
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

6.  Nucleocytoplasmic distribution is required for activation of resistance by the potato NB-LRR receptor Rx1 and is balanced by its functional domains.

Authors:  Erik Slootweg; Jan Roosien; Laurentiu N Spiridon; Andrei-Jose Petrescu; Wladimir Tameling; Matthieu Joosten; Rikus Pomp; Casper van Schaik; Robert Dees; Jan Willem Borst; Geert Smant; Arjen Schots; Jaap Bakker; Aska Goverse
Journal:  Plant Cell       Date:  2010-12-21       Impact factor: 11.277

7.  Nuclear proteins: finding and binding target sites in chromatin.

Authors:  Martin E van Royen; Angelika Zotter; Shehu M Ibrahim; Bart Geverts; Adriaan B Houtsmuller
Journal:  Chromosome Res       Date:  2011-01       Impact factor: 5.239

8.  Fluorescence recovery after photobleaching investigation of protein transport and exchange in chromatographic media.

Authors:  Steven J Traylor; Brian D Bowes; Anthony P Ammirati; Steven M Timmick; Abraham M Lenhoff
Journal:  J Chromatogr A       Date:  2014-03-04       Impact factor: 4.759

9.  Photobleaching, mobility, and compartmentalisation: inferences in fluorescence correlation spectroscopy.

Authors:  A Delon; Y Usson; J Derouard; T Biben; C Souchier
Journal:  J Fluoresc       Date:  2004-05       Impact factor: 2.217

10.  Determining diffusion coefficients in inhomogeneous tissues using fluorescence recovery after photobleaching.

Authors:  Y H Sniekers; C C van Donkelaar
Journal:  Biophys J       Date:  2005-05-13       Impact factor: 4.033

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