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      Alternative splicing coupled mRNA decay shapes the temperature‐dependent transcriptome

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          Abstract

          Mammalian body temperature oscillates with the time of the day and is altered in diverse pathological conditions. We recently identified a body temperature‐sensitive thermometer‐like kinase, which alters SR protein phosphorylation and thereby globally controls alternative splicing (AS). AS can generate unproductive variants which are recognized and degraded by diverse mRNA decay pathways—including nonsense‐mediated decay (NMD). Here we show extensive coupling of body temperature‐controlled AS to mRNA decay, leading to global control of temperature‐dependent gene expression (GE). Temperature‐controlled, decay‐inducing splicing events are evolutionarily conserved and pervasively found within RNA‐binding proteins, including most SR proteins. AS‐coupled poison exon inclusion is essential for rhythmic GE of SR proteins and has a global role in establishing temperature‐dependent rhythmic GE profiles, both in mammals under circadian body temperature cycles and in plants in response to ambient temperature changes. Together, these data identify body temperature‐driven AS‐coupled mRNA decay as an evolutionary ancient, core clock‐independent mechanism to generate rhythmic GE.

          Abstract

          This study identifies temperature‐controlled splicing variants triggering nonsense‐mediated decay and evolutionary conserved exons mediating temperature‐controlled gene expression levels, indicating that circadian and seasonal temperature signals feed into global gene expression control.

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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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            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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              BEDTools: a flexible suite of utilities for comparing genomic features

              Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                florian.heyd@fu-berlin.de
                mpreussner@zedat.fu-berlin.de
                Journal
                EMBO Rep
                EMBO Rep
                10.1002/(ISSN)1469-3178
                EMBR
                embor
                EMBO Reports
                John Wiley and Sons Inc. (Hoboken )
                1469-221X
                1469-3178
                02 November 2020
                03 December 2020
                02 November 2020
                : 21
                : 12 ( doiID: 10.1002/embr.v21.12 )
                : e51369
                Affiliations
                [ 1 ] Institute of Chemistry and Biochemistry Laboratory of RNA Biochemistry Freie Universität Berlin Berlin Germany
                [ 2 ] Omiqa Bioinformatics Berlin Germany
                [ 3 ] Epigenetics of Plants Freie Universität Berlin Berlin Germany
                [ 4 ] Sequencing Core Facility Max‐Planck‐Institute for Molecular Genetics Berlin Germany
                Author notes
                [*] [* ] Corresponding author. Tel: +49 30 83870703; Fax: +49 30 838 4 62938; E‐mail: florian.heyd@ 123456fu-berlin.de

                Corresponding author. Tel: +49 30 83870703; Fax: +49 30 838 4 62938; E‐mail: mpreussner@ 123456zedat.fu-berlin.de

                Author information
                https://orcid.org/0000-0002-8512-6643
                https://orcid.org/0000-0003-2390-0733
                https://orcid.org/0000-0001-9377-9882
                https://orcid.org/0000-0001-5155-0844
                Article
                EMBR202051369
                10.15252/embr.202051369
                7726792
                33140569
                3befee62-c1db-4da8-9282-c1ef2b09f0e2
                © 2020 The Authors. Published under the terms of the CC BY NC ND 4.0 license

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 21 July 2020
                : 02 October 2020
                : 08 October 2020
                Page count
                Figures: 14, Tables: 0, Pages: 17, Words: 13202
                Funding
                Funded by: Peter und Traudl Engelhorn Stiftung (Peter and Traudl Engelhorn Foundation) , open-funder-registry 10.13039/501100014381;
                Funded by: Deutsche Forschungsgemeinschaft (DFG) , open-funder-registry 10.13039/501100001659;
                Award ID: 278001972‐TRR186
                Award ID: HE5398/4‐2
                Categories
                Article
                Articles
                Custom metadata
                2.0
                03 December 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.5 mode:remove_FC converted:10.12.2020

                Molecular biology
                alternative splicing,circadian clock,mrna decay,nmd,sr proteins,temperature,chromatin, epigenetics, genomics & functional genomics,rna biology

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