Multi-Scale Imaging of the Dynamic Organization of Chromatin.

DNA repair chromatin organization and dynamics high resolution imaging

Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
04 Nov 2023
Historique:
received: 19 09 2023
revised: 27 10 2023
accepted: 27 10 2023
medline: 15 11 2023
pubmed: 14 11 2023
entrez: 14 11 2023
Statut: epublish

Résumé

Chromatin is now regarded as a heterogeneous and dynamic structure occupying a non-random position within the cell nucleus, where it plays a key role in regulating various functions of the genome. This current view of chromatin has emerged thanks to high spatiotemporal resolution imaging, among other new technologies developed in the last decade. In addition to challenging early assumptions of chromatin being regular and static, high spatiotemporal resolution imaging made it possible to visualize and characterize different chromatin structures such as clutches, domains and compartments. More specifically, super-resolution microscopy facilitates the study of different cellular processes at a nucleosome scale, providing a multi-scale view of chromatin behavior within the nucleus in different environments. In this review, we describe recent imaging techniques to study the dynamic organization of chromatin at high spatiotemporal resolution. We also discuss recent findings, elucidated by these techniques, on the chromatin landscape during different cellular processes, with an emphasis on the DNA damage response.

Identifiants

pubmed: 37958958
pii: ijms242115975
doi: 10.3390/ijms242115975
pmc: PMC10649806
pii:
doi:

Substances chimiques

Chromatin 0
Nucleosomes 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Agence Nationale de la Recherche
ID : ANR-22-CE12-0039-03
Organisme : Inserm
ID : ATIP AVENIR 2021
Organisme : Sorbonne University
ID : programme iBio Initiative

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Auteurs

Fabiola García Fernández (F)

Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, 75005 Paris, France.

Sébastien Huet (S)

Univ Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes)-UMR 6290, BIOSIT-UMS 3480, 35000 Rennes, France.
Institut Universitaire de France, 75231 Paris, France.

Judith Miné-Hattab (J)

Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, 75005 Paris, France.

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