Literature DB >> 21240396

Studying Smad2 intranuclear diffusion dynamics by mathematical modelling of FRAP experiments.

Vinicio González-Pérez1, Bernhard Schmierer, Caroline S Hill, Richard P Sear.   

Abstract

We combine Fluorescence Recovery After Photobleaching (FRAP) experiments with mathematical modelling to study the dynamics inside the nucleus of both the TGF-β-sensitive transcriptional regulator Smad2, and Green-Fluorescent Protein (GFP). We show how combining modelling with bleaching strips of different areas allows a rigorous test of whether or not a protein is moving via diffusion as a single species. As noted recently by others, it is important to consider diffusion during the bleaching process. Neglecting it can cause serious error. Also, it is possible to use the bleaching process itself to provide an extra consistency test to the models predicting the recovery. With our method we show that the dynamics of GFP are consistent with it diffusing as a single species in a uniform environment in which flow is negligible. In contrast, the dynamics of the intracellular signal transducer Smad2 are never consistent with it moving as a single species via simple diffusion in a homogeneous environment without flow. Adding TGF-β slows down the dynamics of Smad2 but even without TGF-β, the Smad2 dynamics are influenced by one or more of: association, flow, and inhomogeneity in space of the dynamics. We suggest that the dynamics inside cells of many proteins may be poorly described by simple diffusion of a single species, and that our methodology provides a general and powerful way to test this hypothesis.

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Year:  2011        PMID: 21240396     DOI: 10.1039/c0ib00098a

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  8 in total

1.  Spatial aspects in the SMAD signaling pathway.

Authors:  J Claus; E Friedmann; U Klingmüller; R Rannacher; T Szekeres
Journal:  J Math Biol       Date:  2012-09-18       Impact factor: 2.259

2.  Mediator subunit MED1 modulates intranuclear dynamics of the thyroid hormone receptor.

Authors:  Matthew R Femia; Rochelle M Evans; Jibo Zhang; Xiaopeng Sun; Caroline J Lebegue; Vincent R Roggero; Lizabeth A Allison
Journal:  J Cell Biochem       Date:  2019-11-06       Impact factor: 4.429

3.  Characterization of Cell Boundary and Confocal Effects Improves Quantitative FRAP Analysis.

Authors:  James L Kingsley; Jeffrey P Bibeau; S Iman Mousavi; Cem Unsal; Zhilu Chen; Xinming Huang; Luis Vidali; Erkan Tüzel
Journal:  Biophys J       Date:  2018-03-13       Impact factor: 4.033

4.  Signaling pathways as linear transmitters.

Authors:  Harry Nunns; Lea Goentoro
Journal:  Elife       Date:  2018-09-19       Impact factor: 8.140

5.  In vivo dynamics of skeletal muscle Dystrophin in zebrafish embryos revealed by improved FRAP analysis.

Authors:  Fernanda Bajanca; Vinicio Gonzalez-Perez; Sean J Gillespie; Cyriaque Beley; Luis Garcia; Eric Theveneau; Richard P Sear; Simon M Hughes
Journal:  Elife       Date:  2015-10-13       Impact factor: 8.140

6.  Using a model comparison approach to describe the assembly pathway for histone H1.

Authors:  Carlos Contreras; Minaya Villasana; Michael J Hendzel; Gustavo Carrero
Journal:  PLoS One       Date:  2018-01-19       Impact factor: 3.240

7.  A Highly Accurate Pixel-Based FRAP Model Based on Spectral-Domain Numerical Methods.

Authors:  Magnus Röding; Leander Lacroix; Annika Krona; Tobias Gebäck; Niklas Lorén
Journal:  Biophys J       Date:  2019-03-01       Impact factor: 4.033

8.  DeepFRAP: Fast fluorescence recovery after photobleaching data analysis using deep neural networks.

Authors:  Victor Wåhlstrand Skärström; Annika Krona; Niklas Lorén; Magnus Röding
Journal:  J Microsc       Date:  2021-01-16       Impact factor: 1.758

  8 in total

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