Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions
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Amitai-2015-Analysis of Single L.pdf
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Author(s)
Amitai, Assaf
Toulouze, Mathias
Dubrana, Karine
Holcman, David
Date Issued
August 2015
Journal
PLOS Computational Biology
Publisher
Public Library of Science
Citation
Amitai, Assaf, Mathias Toulouze, Karine Dubrana, and David Holcman. “Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions.” Edited by Alexandre V Morozov. PLoS Comput Biol 11, no. 8 (August 28, 2015): e1004433.
Version
Final published version
Abstract
Is it possible to extract tethering forces applied on chromatin from the statistics of a single locus trajectories imaged in vivo? Chromatin fragments interact with many partners such as the nuclear membrane, other chromosomes or nuclear bodies, but the resulting forces cannot be directly measured in vivo. However, they impact chromatin dynamics and should be reflected in particular in the motion of a single locus. We present here a method based on polymer models and statistics of single trajectories to extract the force characteristics and in particular when they are generated by the gradient of a quadratic potential well. Using numerical simulations of a Rouse polymer and live cell imaging of the MAT-locus located on the yeast Saccharomyces cerevisiae chromosome III, we recover the amplitude and the distance between the observed and the interacting monomer. To conclude, the confined trajectories we observed in vivo reflect local interaction on chromatin.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Department of Chemical Engineering
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DOI of Published Version
https://doi.org/10.1371/journal.pcbi.1004433
