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      Topoisomerase 1 prevents replication stress at R-loop-enriched transcription termination sites

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          Abstract

          R-loops have both positive and negative impacts on chromosome functions. To identify toxic R-loops in the human genome, here, we map RNA:DNA hybrids, replication stress markers and DNA double-strand breaks (DSBs) in cells depleted for Topoisomerase I (Top1), an enzyme that relaxes DNA supercoiling and prevents R-loop formation. RNA:DNA hybrids are found at both promoters (TSS) and terminators (TTS) of highly expressed genes. In contrast, the phosphorylation of RPA by ATR is only detected at TTS, which are preferentially replicated in a head-on orientation relative to the direction of transcription. In Top1-depleted cells, DSBs also accumulate at TTS, leading to persistent checkpoint activation, spreading of γ-H2AX on chromatin and global replication fork slowdown. These data indicate that fork pausing at the TTS of highly expressed genes containing R-loops prevents head-on conflicts between replication and transcription and maintains genome integrity in a Top1-dependent manner.

          Abstract

          While R-loops can alter cell homeostasis, it is unclear what determines their toxicity. Here, the authors, by using Top1 knockdown as a tool to enhance the formation of R-loops at certain genomic sites, reveal and characterize a proportion of R-loops that are more toxic to the cell by causing DNA damage.

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          Most cited references37

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          Human CtIP promotes DNA end resection.

          In the S and G2 phases of the cell cycle, DNA double-strand breaks (DSBs) are processed into single-stranded DNA, triggering ATR-dependent checkpoint signalling and DSB repair by homologous recombination. Previous work has implicated the MRE11 complex in such DSB-processing events. Here, we show that the human CtIP (RBBP8) protein confers resistance to DSB-inducing agents and is recruited to DSBs exclusively in the S and G2 cell-cycle phases. Moreover, we reveal that CtIP is required for DSB resection, and thereby for recruitment of replication protein A (RPA) and the protein kinase ATR to DSBs, and for the ensuing ATR activation. Furthermore, we establish that CtIP physically and functionally interacts with the MRE11 complex, and that both CtIP and MRE11 are required for efficient homologous recombination. Finally, we reveal that CtIP has sequence homology with Sae2, which is involved in MRE11-dependent DSB processing in yeast. These findings establish evolutionarily conserved roles for CtIP-like proteins in controlling DSB resection, checkpoint signalling and homologous recombination.
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            Sequencing newly replicated DNA reveals widespread plasticity in human replication timing.

            Faithful transmission of genetic material to daughter cells involves a characteristic temporal order of DNA replication, which may play a significant role in the inheritance of epigenetic states. We developed a genome-scale approach--Repli Seq--to map temporally ordered replicating DNA using massively parallel sequencing and applied it to study regional variation in human DNA replication time across multiple human cell types. The method requires as few as 8,000 cytometry-fractionated cells for a single analysis, and provides high-resolution DNA replication patterns with respect to both cell-cycle time and genomic position. We find that different cell types exhibit characteristic replication signatures that reveal striking plasticity in regional replication time patterns covering at least 50% of the human genome. We also identified autosomal regions with marked biphasic replication timing that include known regions of monoallelic expression as well as many previously uncharacterized domains. Comparison with high-resolution genome-wide profiles of DNaseI sensitivity revealed that DNA replication typically initiates within foci of accessible chromatin comprising clustered DNaseI hypersensitive sites, and that replication time is better correlated with chromatin accessibility than with gene expression. The data collectively provide a unique, genome-wide picture of the epigenetic compartmentalization of the human genome and suggest that cell-lineage specification involves extensive reprogramming of replication timing patterns.
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              Break-induced replication repair of damaged forks induces genomic duplications in human cells.

              In budding yeast, one-ended DNA double-strand breaks (DSBs) and damaged replication forks are repaired by break-induced replication (BIR), a homologous recombination pathway that requires the Pol32 subunit of DNA polymerase delta. DNA replication stress is prevalent in cancer, but BIR has not been characterized in mammals. In a cyclin E overexpression model of DNA replication stress, POLD3, the human ortholog of POL32, was required for cell cycle progression and processive DNA synthesis. Segmental genomic duplications induced by cyclin E overexpression were also dependent on POLD3, as were BIR-mediated recombination events captured with a specialized DSB repair assay. We propose that BIR repairs damaged replication forks in mammals, accounting for the high frequency of genomic duplications in human cancers.
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                Author and article information

                Contributors
                chunlong.chen@curie.fr
                yea-lih.lin@igh.cnrs.fr
                philippe.pasero@igh.cnrs.fr
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                7 August 2020
                7 August 2020
                2020
                : 11
                : 3940
                Affiliations
                [1 ]GRID grid.462268.c, ISNI 0000 0000 9886 5504, Institut de Génétique Humaine, CNRS et Université de Montpellier, , Equipe labélisée Ligue contre le Cancer, ; Montpellier, France
                [2 ]GRID grid.462844.8, ISNI 0000 0001 2308 1657, Institut Curie, PSL Research University, CNRS, UMR3244, , Sorbonne Université, ; Paris, France
                [3 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Department of Molecular and Cellular Biology, , University of California, ; Davis, CA 95616 USA
                [4 ]GRID grid.12847.38, ISNI 0000 0004 1937 1290, Laboratory of Bioinformatics and Systems Biology, Centre of New Technologies, , University of Warsaw, ; Warsaw, Poland
                [5 ]GRID grid.121334.6, ISNI 0000 0001 2097 0141, BioCampus Montpellier, , CNRS et Université de Montpellier, ; Montpellier, France
                [6 ]GRID grid.121334.6, ISNI 0000 0001 2097 0141, Institut de Génétique Humaine, , CNRS et Université de Montpellier, ; Montpellier, France
                [7 ]GRID grid.176731.5, ISNI 0000 0001 1547 9964, Department of Biochemistry and Molecular Biology, , University of Texas Medical Branch at Galveston, ; Galveston, TX USA
                [8 ]GRID grid.14925.3b, ISNI 0000 0001 2284 9388, Present Address: Institut Gustave Roussy, ; Villejuif, France
                Author information
                http://orcid.org/0000-0002-6780-3946
                http://orcid.org/0000-0003-4935-3248
                http://orcid.org/0000-0001-7523-3464
                http://orcid.org/0000-0002-0080-5947
                http://orcid.org/0000-0002-3336-0403
                http://orcid.org/0000-0002-4963-2928
                http://orcid.org/0000-0002-4011-071X
                http://orcid.org/0000-0001-7538-1571
                http://orcid.org/0000-0002-1306-5335
                http://orcid.org/0000-0002-4795-0295
                http://orcid.org/0000-0001-5891-0822
                Article
                17858
                10.1038/s41467-020-17858-2
                7414224
                32769985
                88642ee3-8881-4f6b-8702-8914bace8dee
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 August 2019
                : 14 July 2020
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                © The Author(s) 2020

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                chromosomes,genetics
                Uncategorized
                chromosomes, genetics

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