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      NuA3 HAT antagonizes the Rpd3S and Rpd3L HDACs to optimize mRNA and lncRNA expression dynamics

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          Abstract

          In yeast, NuA3 histone acetyltransferase (NuA3 HAT) promotes acetylation of histone H3 lysine 14 (H3K14) and transcription of a subset of genes through interaction between the Yng1 plant homeodomain (PHD) finger and H3K4me3. Although NuA3 HAT has multiple chromatin binding modules with distinct specificities, their interdependence and combinatorial actions in chromatin binding and transcription remain unknown. Modified peptide pulldown assays reveal that the Yng1 N-terminal region is important for the integrity of NuA3 HAT by mediating the interaction between core subunits and two methyl-binding proteins, Yng1 and Pdp3. We further uncover that NuA3 HAT contributes to the regulation of mRNA and lncRNA expression dynamics by antagonizing the histone deacetylases (HDACs) Rpd3S and Rpd3L. The Yng1 N-terminal region, the Nto1 PHD finger and Pdp3 are important for optimal induction of mRNA and lncRNA transcription repressed by the Set2-Rpd3S HDAC pathway, whereas the Yng1 PHD finger–H3K4me3 interaction affects transcriptional repression memory regulated by Rpd3L HDAC. These findings suggest that NuA3 HAT uses distinct chromatin readers to compete with two Rpd3-containing HDACs to optimize mRNA and lncRNA expression dynamics.

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          Most cited references54

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          Fast and accurate short read alignment with Burrows–Wheeler transform

          Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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            TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions

            TopHat is a popular spliced aligner for RNA-sequence (RNA-seq) experiments. In this paper, we describe TopHat2, which incorporates many significant enhancements to TopHat. TopHat2 can align reads of various lengths produced by the latest sequencing technologies, while allowing for variable-length indels with respect to the reference genome. In addition to de novo spliced alignment, TopHat2 can align reads across fusion breaks, which can occur after genomic translocations. TopHat2 combines the ability to identify novel splice sites with direct mapping to known transcripts, producing sensitive and accurate alignments, even for highly repetitive genomes or in the presence of pseudogenes. TopHat2 is available at http://ccb.jhu.edu/software/tophat.
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              Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.

              Recent advances in high-throughput cDNA sequencing (RNA-seq) can reveal new genes and splice variants and quantify expression genome-wide in a single assay. The volume and complexity of data from RNA-seq experiments necessitate scalable, fast and mathematically principled analysis software. TopHat and Cufflinks are free, open-source software tools for gene discovery and comprehensive expression analysis of high-throughput mRNA sequencing (RNA-seq) data. Together, they allow biologists to identify new genes and new splice variants of known ones, as well as compare gene and transcript expression under two or more conditions. This protocol describes in detail how to use TopHat and Cufflinks to perform such analyses. It also covers several accessory tools and utilities that aid in managing data, including CummeRbund, a tool for visualizing RNA-seq analysis results. Although the procedure assumes basic informatics skills, these tools assume little to no background with RNA-seq analysis and are meant for novices and experts alike. The protocol begins with raw sequencing reads and produces a transcriptome assembly, lists of differentially expressed and regulated genes and transcripts, and publication-quality visualizations of analysis results. The protocol's execution time depends on the volume of transcriptome sequencing data and available computing resources but takes less than 1 d of computer time for typical experiments and ∼1 h of hands-on time.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                04 November 2020
                03 October 2020
                03 October 2020
                : 48
                : 19
                : 10753-10767
                Affiliations
                Department of Life Science and the Research Center for Cellular Homeostasis, Ewha Womans University , Seoul 03760, Korea
                Department of Life Science and the Research Center for Cellular Homeostasis, Ewha Womans University , Seoul 03760, Korea
                Ewha-JAX Cancer Immunotherapy Research Center, Ewha Womans University , Seoul 03760, Korea
                Department of Life Science and the Research Center for Cellular Homeostasis, Ewha Womans University , Seoul 03760, Korea
                Department of Life Science and the Research Center for Cellular Homeostasis, Ewha Womans University , Seoul 03760, Korea
                Department of Life Science and the Research Center for Cellular Homeostasis, Ewha Womans University , Seoul 03760, Korea
                Department of Life Science and the Research Center for Cellular Homeostasis, Ewha Womans University , Seoul 03760, Korea
                Department of Bio-Information Science, Ewha Womans University , Seoul, 03760, Korea
                Ewha-JAX Cancer Immunotherapy Research Center, Ewha Womans University , Seoul 03760, Korea
                Department of Bio-Information Science, Ewha Womans University , Seoul, 03760, Korea
                Department of Life Science and the Research Center for Cellular Homeostasis, Ewha Womans University , Seoul 03760, Korea
                Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University , Seoul 02841, Korea
                Department of Life Science and the Research Center for Cellular Homeostasis, Ewha Womans University , Seoul 03760, Korea
                Author notes
                To whom correspondence should be addressed. Tel: +82 2 3277 6807; Fax: +82 2 3277 3760; Email: tskim@ 123456ewha.ac.kr

                The authors wish it to be known that, in their opinion, the first three authors should be regarded as Joint First Authors.

                Author information
                http://orcid.org/0000-0002-3902-1058
                Article
                gkaa781
                10.1093/nar/gkaa781
                7641726
                33010166
                0db2426f-6018-472a-8c83-448d5925846c
                © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 September 2020
                : 03 September 2020
                : 21 April 2020
                Page count
                Pages: 15
                Funding
                Funded by: National Research Foundation, DOI 10.13039/501100001321;
                Award ID: NRF-2017M3A9B5060887
                Award ID: NRF-2017M3A9G7073033
                Award ID: NRF-2017M3C9A5029980
                Award ID: NRF-2019R1A5A6099645
                Award ID: NRF-2019R1A6A3A01095423
                Categories
                AcademicSubjects/SCI00010
                Gene regulation, Chromatin and Epigenetics

                Genetics
                Genetics

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