Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions
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 i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | en_US |
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Public Library of Science
2015
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| Online Access: | http://hdl.handle.net/1721.1/99728 https://orcid.org/0000-0002-8594-6529 |
| _version_ | 1826211691587698688 |
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| author | Amitai, Assaf Toulouze, Mathias Dubrana, Karine Holcman, David |
| author2 | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
| author_facet | Massachusetts Institute of Technology. Institute for Medical Engineering & Science Amitai, Assaf Toulouze, Mathias Dubrana, Karine Holcman, David |
| author_sort | Amitai, Assaf |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:09:59Z |
| format | Article |
| id | mit-1721.1/99728 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:09:59Z |
| publishDate | 2015 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/997282022-10-02T01:01:34Z Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions Amitai, Assaf Toulouze, Mathias Dubrana, Karine Holcman, David Massachusetts Institute of Technology. Institute for Medical Engineering & Science Massachusetts Institute of Technology. Department of Chemical Engineering Amitai, Assaf 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. 2015-11-05T17:35:50Z 2015-11-05T17:35:50Z 2015-08 2015-02 Article http://purl.org/eprint/type/JournalArticle 1553-7358 1553-734X http://hdl.handle.net/1721.1/99728 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. https://orcid.org/0000-0002-8594-6529 en_US http://dx.doi.org/10.1371/journal.pcbi.1004433 PLOS Computational Biology Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Public Library of Science Public Library of Science |
| spellingShingle | Amitai, Assaf Toulouze, Mathias Dubrana, Karine Holcman, David Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions |
| title | Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions |
| title_full | Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions |
| title_fullStr | Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions |
| title_full_unstemmed | Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions |
| title_short | Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions |
| title_sort | analysis of single locus trajectories for extracting in vivo chromatin tethering interactions |
| url | http://hdl.handle.net/1721.1/99728 https://orcid.org/0000-0002-8594-6529 |
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