FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Cardozo Gizzi, A.M., Cattoni, D.I., Fiche, J.B., Espinola, S.M., Gurgo, J., Messina, O., Houbron, C., Ogiyama, Y., Papadopoulos, G.L., Cavalli, G., Lagha, M., Nollmann, M. (2019). Microscopy-Based Chromosome Conformation Capture Enables Simultaneous Visualization of Genome Organization and Transcription in Intact Organisms.  Mol. Cell 74(1): 212--222.e5.
FlyBase ID
FBrf0242058
Publication Type
Research paper
Abstract
Eukaryotic chromosomes are organized in multiple scales, from nucleosomes to chromosome territories. Recently, genome-wide methods identified an intermediate level of chromosome organization, topologically associating domains (TADs), that play key roles in transcriptional regulation. However, these methods cannot directly examine the interplay between transcriptional activation and chromosome architecture while maintaining spatial information. Here we present a multiplexed, sequential imaging approach (Hi-M) that permits simultaneous detection of chromosome organization and transcription in single nuclei. This allowed us to unveil the changes in 3D chromatin organization occurring upon transcriptional activation and homologous chromosome unpairing during awakening of the zygotic genome in intact Drosophila embryos. Excitingly, the ability of Hi-M to explore the multi-scale chromosome architecture with spatial resolution at different stages of development or during the cell cycle will be key to understanding the mechanisms and consequences of the 4D organization of the genome.
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PubMed Central ID
Related Publication(s)
Note

Structure and Function in Drosophila Chromosomes: Visualizing Topological Domains.
Larson, 2019, Mol. Cell 74(1): 3--4 [FBrf0242165]

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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Mol. Cell
    Title
    Molecular Cell
    Publication Year
    1997-
    ISBN/ISSN
    1097-2765 1097-4164
    Data From Reference
    Genes (5)