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      Sequential deregulation of histone marks, chromatin accessibility and gene expression in response to PROTAC-induced degradation of ASH2L

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          Abstract

          The trithorax protein ASH2L is essential for organismal and tissue development. As a subunit of COMPASS/KMT2 complexes, ASH2L is necessary for methylation of histone H3 lysine 4 (H3K4). Mono- and tri-methylation at this site mark active enhancers and promoters, respectively, although the functional relevance of H3K4 methylation is only partially understood. ASH2L has a long half-life, which results in a slow decrease upon knockout. This has made it difficult to define direct consequences. To overcome this limitation, we employed a PROTAC system to rapidly degrade ASH2L and address direct effects. ASH2L loss resulted in inhibition of proliferation of mouse embryo fibroblasts. Shortly after ASH2L degradation H3K4me3 decreased with its half-life varying between promoters. Subsequently, H3K4me1 increased at promoters and decreased at some enhancers. H3K27ac and H3K27me3, histone marks closely linked to H3K4 methylation, were affected with considerable delay. In parallel, chromatin compaction increased at promoters. Of note, nascent gene transcription was not affected early but overall RNA expression was deregulated late after ASH2L loss. Together, these findings suggest that downstream effects are ordered but relatively slow, despite the rapid loss of ASH2L and inactivation of KMT2 complexes. It appears that the systems that control gene transcription are well buffered and strong effects are only beginning to unfold after considerable delay.

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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
                mirna.barsoum@rwth-aachen.de
                luescher@rwth-aachen.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                19 December 2023
                19 December 2023
                2023
                : 13
                : 22565
                Affiliations
                [1 ]Institute of Biochemistry and Molecular Biology, Faculty of Medicine, RWTH Aachen University, ( https://ror.org/04xfq0f34) Pauwelsstrasse 30, 52074 Aachen, Germany
                [2 ]GRID grid.420044.6, ISNI 0000 0004 0374 4101, Present Address: Bayer AG, Crop Science Division, R&D, Pest Control, ; 40789 Monheim am Rhein, Germany
                [3 ]Present Address: Institute of Human Genetics, Faculty of Medicine, University of Bonn, ( https://ror.org/041nas322) Venusberg-Campus 1, 53127 Bonn, Germany
                Author information
                http://orcid.org/0000-0003-0838-8137
                http://orcid.org/0000-0002-2481-1663
                http://orcid.org/0000-0002-6633-480X
                http://orcid.org/0000-0001-9265-8536
                http://orcid.org/0000-0002-9622-8709
                Article
                49284
                10.1038/s41598-023-49284-x
                10730889
                38114530
                e3adb2e8-fa18-489c-9370-978ca9082297
                © 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
                : 15 September 2023
                : 6 December 2023
                Funding
                Funded by: DFG
                Award ID: LU466/17-2
                Award ID: LU466/17-2
                Award ID: LU466/17-2
                Award ID: LU466/17-2
                Award ID: LU466/17-2
                Award ID: LU466/17-2
                Award Recipient :
                Funded by: START program of the Faculty of Medicine, RWTH Aachen University
                Award ID: 129/22
                Award ID: 129/22
                Award ID: 129/22
                Award ID: 129/22
                Award ID: 129/22
                Award ID: 129/22
                Award Recipient :
                Funded by: Simulations were performed with computing resources granted by RWTH Aachen University
                Award ID: rwth0751
                Award Recipient :
                Funded by: RWTH Aachen University (3131)
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                epigenetics,chromatin,histone post-translational modifications,molecular biology,transcription

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