Literature DB >> 20413286

FRAP and kinetic modeling in the analysis of nuclear protein dynamics: what do we really know?

Florian Mueller1, Davide Mazza, Timothy J Stasevich, James G McNally.   

Abstract

The binding of nuclear proteins to chromatin in live cells has been analyzed by kinetic modeling procedures applied to experimental data from fluorescence recovery after photobleaching (FRAP). The kinetic models have yielded a number of important biological predictions about transcription, but concerns have arisen about the accuracy of these predictions. First, different studies using different kinetic models have arrived at very different predictions for the same or similar proteins. Second, some of these divergent predictions have been shown to arise from technical issues rather than biological differences. For confidence and accuracy, gold standards for the measurement of in vivo binding must be established by extensive cross validation using both different experimental methods and different kinetic modeling procedures. Published by Elsevier Ltd.

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Year:  2010        PMID: 20413286      PMCID: PMC2916960          DOI: 10.1016/j.ceb.2010.03.002

Source DB:  PubMed          Journal:  Curr Opin Cell Biol        ISSN: 0955-0674            Impact factor:   8.382


  55 in total

Review 1.  Kinetic modelling approaches to in vivo imaging.

Authors:  R D Phair; T Misteli
Journal:  Nat Rev Mol Cell Biol       Date:  2001-12       Impact factor: 94.444

Review 2.  Fluorescence recovery after photobleaching: application to nuclear proteins.

Authors:  Adriaan B Houtsmuller
Journal:  Adv Biochem Eng Biotechnol       Date:  2005       Impact factor: 2.635

3.  Analysis of binding at a single spatially localized cluster of binding sites by fluorescence recovery after photobleaching.

Authors:  Brian L Sprague; Florian Müller; Robert L Pego; Peter M Bungay; Diana A Stavreva; James G McNally
Journal:  Biophys J       Date:  2006-05-05       Impact factor: 4.033

4.  Continuous photobleaching in vesicles and living cells: a measure of diffusion and compartmentation.

Authors:  A Delon; Y Usson; J Derouard; T Biben; C Souchier
Journal:  Biophys J       Date:  2006-01-20       Impact factor: 4.033

5.  Analysis of intranuclear binding process of glucocorticoid receptor using fluorescence correlation spectroscopy.

Authors:  Shintaro Mikuni; Mamoru Tamura; Masataka Kinjo
Journal:  FEBS Lett       Date:  2007-01-18       Impact factor: 4.124

6.  Probing transcription factor dynamics at the single-molecule level in a living cell.

Authors:  Johan Elf; Gene-Wei Li; X Sunney Xie
Journal:  Science       Date:  2007-05-25       Impact factor: 47.728

7.  Sampling the cell with anomalous diffusion - the discovery of slowness.

Authors:  Gernot Guigas; Matthias Weiss
Journal:  Biophys J       Date:  2007-09-07       Impact factor: 4.033

8.  Modulation of RNA polymerase assembly dynamics in transcriptional regulation.

Authors:  Stanislaw A Gorski; Sara K Snyder; Sam John; Ingrid Grummt; Tom Misteli
Journal:  Mol Cell       Date:  2008-05-23       Impact factor: 17.970

9.  Dynamics of the CapG actin-binding protein in the cell nucleus studied by FRAP and FCS.

Authors:  Malte Renz; Jörg Langowski
Journal:  Chromosome Res       Date:  2008       Impact factor: 5.239

10.  Probing intranuclear environments at the single-molecule level.

Authors:  David Grünwald; Robert M Martin; Volker Buschmann; David P Bazett-Jones; Heinrich Leonhardt; Ulrich Kubitscheck; M Cristina Cardoso
Journal:  Biophys J       Date:  2007-12-07       Impact factor: 4.033

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  82 in total

1.  Minimizing the impact of photoswitching of fluorescent proteins on FRAP analysis.

Authors:  Florian Mueller; Tatsuya Morisaki; Davide Mazza; James G McNally
Journal:  Biophys J       Date:  2012-04-03       Impact factor: 4.033

2.  N- and C-terminal domains determine differential nucleosomal binding geometry and affinity of linker histone isotypes H1(0) and H1c.

Authors:  Payal Vyas; David T Brown
Journal:  J Biol Chem       Date:  2012-02-10       Impact factor: 5.157

Review 3.  Transcription goes digital.

Authors:  Timothée Lionnet; Robert H Singer
Journal:  EMBO Rep       Date:  2012-04-02       Impact factor: 8.807

4.  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

5.  Cross-validating FRAP and FCS to quantify the impact of photobleaching on in vivo binding estimates.

Authors:  Timothy J Stasevich; Florian Mueller; Ariel Michelman-Ribeiro; Tilman Rosales; Jay R Knutson; James G McNally
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

6.  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

7.  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

8.  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

9.  Genome-wide measurement of protein-DNA binding dynamics using competition ChIP.

Authors:  Colin R Lickwar; Florian Mueller; Jason D Lieb
Journal:  Nat Protoc       Date:  2013-06-13       Impact factor: 13.491

10.  Reply to "Convergence of chromatin binding estimates in live cells".

Authors:  Ziqing W Zhao; J Christof M Gebhardt; David M Suter; X Sunney Xie
Journal:  Nat Methods       Date:  2013-08       Impact factor: 28.547

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