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Single-cell absolute contact probability detection reveals chromosomes are organized by multiple low-frequency yet specific interactions

At the kilo- to megabase pair scales, eukaryotic genomes are partitioned into self-interacting modules or topologically associated domains (TADs) that associate to form nuclear compartments. Here, we combine high-content super-resolution microscopies with state-of-the-art DNA-labeling methods to rev...

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Detalles Bibliográficos
Autores principales: Cattoni, Diego I., Cardozo Gizzi, Andrés M., Georgieva, Mariya, Di Stefano, Marco, Valeri, Alessandro, Chamousset, Delphine, Houbron, Christophe, Déjardin, Stephanie, Fiche, Jean-Bernard, González, Inma, Chang, Jia-Ming, Sexton, Thomas, Marti-Renom, Marc A., Bantignies, Frédéric, Cavalli, Giacomo, Nollmann, Marcelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700980/
https://www.ncbi.nlm.nih.gov/pubmed/29170434
http://dx.doi.org/10.1038/s41467-017-01962-x
Descripción
Sumario:At the kilo- to megabase pair scales, eukaryotic genomes are partitioned into self-interacting modules or topologically associated domains (TADs) that associate to form nuclear compartments. Here, we combine high-content super-resolution microscopies with state-of-the-art DNA-labeling methods to reveal the variability in the multiscale organization of the Drosophila genome. We find that association frequencies within TADs and between TAD borders are below ~10%, independently of TAD size, epigenetic state, or cell type. Critically, despite this large heterogeneity, we are able to visualize nanometer-sized epigenetic domains at the single-cell level. In addition, absolute contact frequencies within and between TADs are to a large extent defined by genomic distance, higher-order chromosome architecture, and epigenetic identity. We propose that TADs and compartments are organized by multiple, small-frequency, yet specific interactions that are regulated by epigenetics and transcriptional state.