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      RIF1 regulates early replication timing in murine B cells

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          Abstract

          The mammalian DNA replication timing (RT) program is crucial for the proper functioning and integrity of the genome. The best-known mechanism for controlling RT is the suppression of late origins of replication in heterochromatin by RIF1. Here, we report that in antigen-activated, hypermutating murine B lymphocytes, RIF1 binds predominantly to early-replicating active chromatin and promotes early replication, but plays a minor role in regulating replication origin activity, gene expression and genome organization in B cells. Furthermore, we find that RIF1 functions in a complementary and non-epistatic manner with minichromosome maintenance (MCM) proteins to establish early RT signatures genome-wide and, specifically, to ensure the early replication of highly transcribed genes. These findings reveal additional layers of regulation within the B cell RT program, driven by the coordinated activity of RIF1 and MCM proteins.

          Abstract

          Here the authors show that in activated B cells, RIF1 primarily binds early-replicating active chromatin and promotes early replication. RIF1 and MCM proteins establish early replication timing signatures genome-wide and ensure early replication of highly transcribed genes.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              STAR: ultrafast universal RNA-seq aligner.

              Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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                Author and article information

                Contributors
                tobias.neumann@imp.ac.at
                rushad.pavri@imp.ac.at
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                11 December 2023
                11 December 2023
                2023
                : 14
                : 8049
                Affiliations
                [1 ]GRID grid.14826.39, ISNI 0000 0000 9799 657X, Research Institute of Molecular Pathology (IMP), Vienna Biocenter, ; 1030 Vienna, Austria
                [2 ]GRID grid.418729.1, ISNI 0000 0004 0392 6802, CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, ; 1090, Lazarettgasse 14, Vienna, Austria
                [3 ]Max-Delbruck Center for Molecular Medicine in the Helmholtz Association (MDC), ( https://ror.org/04p5ggc03) 13125 Berlin, Germany
                [4 ]School of Biological Sciences, Institute of Cell Biology, University of Edinburgh, ( https://ror.org/01nrxwf90) Edinburgh, EH9 3FF UK
                [5 ]San Diego Biomedical Research Institute, ( https://ror.org/01qmkwf03) San Diego, CA 92121 USA
                [6 ]GRID grid.418729.1, ISNI 0000 0004 0392 6802, Present Address: CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, ; 1090, Lazarettgasse 14, Vienna, Austria
                [7 ]Present Address: Quantro Therapeutics, Vienna Biocenter, ( https://ror.org/04khwmr87) 1030 Vienna, Austria
                Author information
                http://orcid.org/0000-0001-9268-0637
                http://orcid.org/0000-0003-3314-4302
                http://orcid.org/0000-0001-5293-4161
                http://orcid.org/0000-0002-6105-5385
                http://orcid.org/0000-0001-8087-9737
                http://orcid.org/0000-0002-0177-2884
                http://orcid.org/0000-0001-5189-0793
                http://orcid.org/0000-0003-3908-4224
                http://orcid.org/0000-0002-6191-6333
                Article
                43778
                10.1038/s41467-023-43778-y
                10713614
                38081811
                df0c8667-0890-406a-8ea3-d60fe98d1b9a
                © The Author(s) 2023

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 April 2023
                : 20 November 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100004955, Österreichische Forschungsförderungsgesellschaft (Austrian Research Promotion Agency);
                Award ID: FFG-834223
                Award Recipient :
                Funded by: Österreichischer Wissenschaftsfonds (FWF), grant no. FWF P 29163-B26. Helmholtz-Gemeinschaft Zukunftsthema "Immunology and Inflammation", grant no. ZT810 0027.
                Categories
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                © Springer Nature Limited 2023

                Uncategorized
                genomics,origin firing
                Uncategorized
                genomics, origin firing

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