Generating High-Resolution Hi-C Contact Maps of Bacteria
| Autor: | Charlotte Cockram, Agnès Thierry |
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| Přispěvatelé: | Régulation spatiale des Génomes - Spatial Regulation of Genomes, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), This research was supported by funding to Romain Koszul from the Agence Nationale pour la Recherche (HiResBac ANR-15-CE11-0023-03) and from the European Research Council under the Horizon 2020 program (ERC grant agreement: 771813)., We thank Romain Koszul and the members of the RSG lab for insightful discussions regarding the development of this protocol., ANR-15-CE11-0023,HiResBaCS,Structure des chromosomes bactériens revélée a haute résolution(2015), European Project: 771813,ERC-2017-COG,SynarchiC(2018) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Chromosome conformation capture
biology Bacteria Computer science [SDV]Life Sciences [q-bio] Resolution (electron density) High resolution Computational biology Bacterial genome size biology.organism_classification Genome organization MESH: Gram-Positive Bacteria MESH: Bacteria MESH: Software Chromosome (genetic algorithm) Hi-C MESH: Anti-Bacterial Agents MESH: Gram-Negative Bacteria MESH: Chromosomes Prokaryotes 3C Genomic organization |
| Zdroj: | Hi-C Data Analysis Hi-C Data Analysis, 2301, Springer US, pp.183-195, 2021, Methods in Molecular Biology, 978-1-0716-1390-0. ⟨10.1007/978-1-0716-1390-0_9⟩ Methods in Molecular Biology ISBN: 9781071613894 |
| Popis: | International audience; During the past decade, Chromosome Conformation Capture (3C/Hi-C)-based methods have been used to probe the 3D structure and organization of bacterial genomes, revealing fundamental aspects of chromosome dynamics. However, the current protocols are expensive, inefficient, and limited in their resolution. Here we present a simple, cost-effective Hi-C approach that is readily applicable to a range of Gram-positive and Gram-negative bacteria. |
| Databáze: | OpenAIRE |
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