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dc.contributor.authorAmitai, Assaf
dc.contributor.authorToulouze, Mathias
dc.contributor.authorDubrana, Karine
dc.contributor.authorHolcman, David
dc.date.accessioned2015-11-05T17:35:50Z
dc.date.available2015-11-05T17:35:50Z
dc.date.issued2015-08
dc.date.submitted2015-02
dc.identifier.issn1553-7358
dc.identifier.issn1553-734X
dc.identifier.urihttp://hdl.handle.net/1721.1/99728
dc.description.abstractIs 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.en_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pcbi.1004433en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePublic Library of Scienceen_US
dc.titleAnalysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactionsen_US
dc.typeArticleen_US
dc.identifier.citationAmitai, 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.mitauthorAmitai, Assafen_US
dc.relation.journalPLOS Computational Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsAmitai, Assaf; Toulouze, Mathias; Dubrana, Karine; Holcman, Daviden_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8594-6529
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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