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The hierarchical packing of euchromatin domains can be described as multiplicative cascades

The genome is packed into the cell nucleus in the form of chromatin. Biochemical approaches have revealed that chromatin is packed within domains, which group into larger domains, and so forth. Such hierarchical packing is equally visible in super-resolution microscopy images of large-scale chromati...

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Autores principales: Noa, Amra, Kuan, Hui-Shun, Aschmann, Vera, Zaburdaev, Vasily, Hilbert, Lennart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128263/
https://www.ncbi.nlm.nih.gov/pubmed/33951053
http://dx.doi.org/10.1371/journal.pcbi.1008974
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author Noa, Amra
Kuan, Hui-Shun
Aschmann, Vera
Zaburdaev, Vasily
Hilbert, Lennart
author_facet Noa, Amra
Kuan, Hui-Shun
Aschmann, Vera
Zaburdaev, Vasily
Hilbert, Lennart
author_sort Noa, Amra
collection PubMed
description The genome is packed into the cell nucleus in the form of chromatin. Biochemical approaches have revealed that chromatin is packed within domains, which group into larger domains, and so forth. Such hierarchical packing is equally visible in super-resolution microscopy images of large-scale chromatin organization. While previous work has suggested that chromatin is partitioned into distinct domains via microphase separation, it is unclear how these domains organize into this hierarchical packing. A particular challenge is to find an image analysis approach that fully incorporates such hierarchical packing, so that hypothetical governing mechanisms of euchromatin packing can be compared against the results of such an analysis. Here, we obtain 3D STED super-resolution images from pluripotent zebrafish embryos labeled with improved DNA fluorescence stains, and demonstrate how the hierarchical packing of euchromatin in these images can be described as multiplicative cascades. Multiplicative cascades are an established theoretical concept to describe the placement of ever-smaller structures within bigger structures. Importantly, these cascades can generate artificial image data by applying a single rule again and again, and can be fully specified using only four parameters. Here, we show how the typical patterns of euchromatin organization are reflected in the values of these four parameters. Specifically, we can pinpoint the values required to mimic a microphase-separated state of euchromatin. We suggest that the concept of multiplicative cascades can also be applied to images of other types of chromatin. Here, cascade parameters could serve as test quantities to assess whether microphase separation or other theoretical models accurately reproduce the hierarchical packing of chromatin.
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spelling pubmed-81282632021-05-27 The hierarchical packing of euchromatin domains can be described as multiplicative cascades Noa, Amra Kuan, Hui-Shun Aschmann, Vera Zaburdaev, Vasily Hilbert, Lennart PLoS Comput Biol Research Article The genome is packed into the cell nucleus in the form of chromatin. Biochemical approaches have revealed that chromatin is packed within domains, which group into larger domains, and so forth. Such hierarchical packing is equally visible in super-resolution microscopy images of large-scale chromatin organization. While previous work has suggested that chromatin is partitioned into distinct domains via microphase separation, it is unclear how these domains organize into this hierarchical packing. A particular challenge is to find an image analysis approach that fully incorporates such hierarchical packing, so that hypothetical governing mechanisms of euchromatin packing can be compared against the results of such an analysis. Here, we obtain 3D STED super-resolution images from pluripotent zebrafish embryos labeled with improved DNA fluorescence stains, and demonstrate how the hierarchical packing of euchromatin in these images can be described as multiplicative cascades. Multiplicative cascades are an established theoretical concept to describe the placement of ever-smaller structures within bigger structures. Importantly, these cascades can generate artificial image data by applying a single rule again and again, and can be fully specified using only four parameters. Here, we show how the typical patterns of euchromatin organization are reflected in the values of these four parameters. Specifically, we can pinpoint the values required to mimic a microphase-separated state of euchromatin. We suggest that the concept of multiplicative cascades can also be applied to images of other types of chromatin. Here, cascade parameters could serve as test quantities to assess whether microphase separation or other theoretical models accurately reproduce the hierarchical packing of chromatin. Public Library of Science 2021-05-05 /pmc/articles/PMC8128263/ /pubmed/33951053 http://dx.doi.org/10.1371/journal.pcbi.1008974 Text en © 2021 Noa et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Noa, Amra
Kuan, Hui-Shun
Aschmann, Vera
Zaburdaev, Vasily
Hilbert, Lennart
The hierarchical packing of euchromatin domains can be described as multiplicative cascades
title The hierarchical packing of euchromatin domains can be described as multiplicative cascades
title_full The hierarchical packing of euchromatin domains can be described as multiplicative cascades
title_fullStr The hierarchical packing of euchromatin domains can be described as multiplicative cascades
title_full_unstemmed The hierarchical packing of euchromatin domains can be described as multiplicative cascades
title_short The hierarchical packing of euchromatin domains can be described as multiplicative cascades
title_sort hierarchical packing of euchromatin domains can be described as multiplicative cascades
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128263/
https://www.ncbi.nlm.nih.gov/pubmed/33951053
http://dx.doi.org/10.1371/journal.pcbi.1008974
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