Microscopy-Based Chromosome Conformation Capture Enables Simultaneous Visualization of Genome Organization and Transcription in Intact Organisms
- PMID: 30795893
- DOI: 10.1016/j.molcel.2019.01.011
Microscopy-Based Chromosome Conformation Capture Enables Simultaneous Visualization of Genome Organization and Transcription in Intact Organisms
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.
Keywords: Drosophila development; chromatin; chromosome conformation capture; fluorescence microscopy; fluorescent in situ hybridization; genome architecture; genome organization; oligopaint; topologically associating domains; transcriptional regulation.
Copyright © 2019 Elsevier Inc. All rights reserved.
Comment in
-
Structure and Function in Drosophila Chromosomes: Visualizing Topological Domains.Mol Cell. 2019 Apr 4;74(1):3-4. doi: 10.1016/j.molcel.2019.03.017. Mol Cell. 2019. PMID: 30951650
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases