ArticleBiophysical journal2007
A reaction-diffusion model to study RNA motion by quantitative fluorescence recovery after photobleaching.
Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 81 citations in OpenAlex.
- Motor-driven microtubule diffusion in a photobleached dynamical coordinate system.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Effects of Molecular Crowding on the Structure, Folding, Stability, and Catalysis of RNA.Sub-cellular biochemistry · 2025Review
- Article
- RNA: The Unsuspected Conductor in the Orchestra of Macromolecular Crowding.Chemical reviews · 2024Review
- What's past is prologue: FRAP keeps delivering 50 years later.Biophysical journal · 2023Review
- Beyond analytic solution: Analysis of FRAP experiments by spatial simulation of the forward problem.Biophysical journal · 2023Article
- Review
- Intraparticle Kinetics Unveil Crowding and Enzyme Distribution Effects on the Performance of Cofactor-Dependent Heterogeneous Biocatalysts.ACS catalysis · 2021Article
- Article
- Mathematical Model Predicts that Acceleration of Diabetic Wound Healing is Dependent on Spatial Distribution of VEGF-A mRNA (AZD8601).Cellular and molecular bioengineering · 2021Article
- Parameter estimation in fluorescence recovery after photobleaching: quantitative analysis of protein binding reactions and diffusion.Journal of mathematical biology · 2021Article
- Design principles of selective transport through biopolymer barriers.Physical review. E · 2019Article
- Recent progress in single-molecule studies of mRNA localizationRNA biology · 2019Review
- Nanoscale invaginations of the nuclear envelope: Shedding new light on wormholes with elusive function.Nucleus (Austin, Tex.) · 2017Review
- Integration of mRNP formation and export.Cellular and molecular life sciences : CMLS · 2017Review
- Review
- Analysis of Active Transport by Fluorescence Recovery after Photobleaching.Biophysical journal · 2017Article
- Single- and two-photon fluorescence recovery after photobleaching.Cold Spring Harbor protocols · 2015Article
- Dynamics of the DNA repair proteins WRN and BLM in the nucleoplasm and nucleoli.European biophysics journal : EBJ · 2014Article
- Reaction-diffusion systems for spatio-temporal intracellular protein networks: A beginner's guide with two examples.Computational and structural biotechnology journal · 2014Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Fluorescence recovery after photobleaching (FRAP) is a powerful technique to study molecular dynamics inside living cells. During the past years, several laboratories have used FRAP to image the motion of RNA-protein and other macromolecular complexes in the nucleus and cytoplasm. In the case of mRNAs, there is growing evidence indicating that these molecules assemble into large ribonucleoprotein complexes that diffuse throughout the nucleus by Brownian motion. However, estimates of the corresponding diffusion rate yielded values that differ by up to one order of magnitude. In vivo labeling of RNA relies on indirect tagging with a fluorescent probe, and here we show how the binding affinity of the probe to the target RNA influences the effective diffusion estimates of the resulting complex. We extend current reaction-diffusion models for FRAP by allowing for diffusion of the bound complex. This more general model can be used to fit any fluorescence recovery curve involving two interacting mobile species in the cell (a fluorescent probe and its target substrate). The results show that interpreting FRAP data in light of the new model reconciles the discrepant mRNA diffusion-rate values previously reported.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.