Best practices for the visualization, mapping, and manipulation of R‐loops
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- Frédéric Chédin
- Department of Molecular and Cellular Biology and Genome Center University of California, Davis Davis CA USA
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- Stella R Hartono
- Department of Molecular and Cellular Biology and Genome Center University of California, Davis Davis CA USA
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- Lionel A Sanz
- Department of Molecular and Cellular Biology and Genome Center University of California, Davis Davis CA USA
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- Vincent Vanoosthuyse
- Laboratoire de Biologie et Modélisation de la Cellule CNRS UMR 5239 Univ Lyon École Normale Supérieure de Lyon Lyon France
書誌事項
- 公開日
- 2021-01-07
- 権利情報
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- http://onlinelibrary.wiley.com/termsAndConditions#vor
- DOI
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- 10.15252/embj.2020106394
- 公開者
- Springer Science and Business Media LLC
この論文をさがす
説明
<jats:title>Abstract</jats:title> <jats:p>R‐loops represent an abundant class of large non‐B DNA structures in genomes. Even though they form transiently and at modest frequencies, interfering with R‐loop formation or dissolution has significant impacts on genome stability. Addressing the mechanism(s) of R‐loop‐mediated genome destabilization requires a precise characterization of their distribution in genomes. A number of independent methods have been developed to visualize and map R‐loops, but their results are at times discordant, leading to confusion. Here, we review the main existing methodologies for R‐loop mapping and assess their limitations as well as the robustness of existing datasets. We offer a set of best practices to improve the reproducibility of maps, hoping that such guidelines could be useful for authors and referees alike. Finally, we propose a possible resolution for the apparent contradictions in R‐loop mapping outcomes between antibody‐based and RNase H1‐based mapping approaches.</jats:p>
収録刊行物
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- The EMBO Journal
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The EMBO Journal 40 (4), e106394-, 2021-01-07
Springer Science and Business Media LLC