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      Aberrant splicing and defective mRNA production induced by somatic spliceosome mutations in myelodysplasia

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          Abstract

          Spliceosome mutations are frequently found in myelodysplasia. Splicing alterations induced by these mutations, their precise targets, and the effect at the transcript level have not been fully elucidated. Here we report transcriptomic analyses of 265 bone marrow samples from myelodysplasia patients, followed by a validation using CRISPR/Cas9-mediated gene editing and an assessment of nonsense-mediated decay susceptibility. Small but widespread reduction of intron-retaining isoforms is the most frequent splicing alteration in SF3B1-mutated samples. SF3B1 mutation is also associated with 3′ splice site alterations, leading to the most pronounced reduction of canonical transcripts. Target genes include tumor suppressors and genes of mitochondrial iron metabolism or heme biosynthesis. Alternative exon usage is predominant in SRSF2- and U2AF1-mutated samples. Usage of an EZH2 cryptic exon harboring a premature termination codon is increased in both SRSF2- and U2AF1-mutated samples. Our study reveals a landscape of splicing alterations and precise targets of various spliceosome mutations.

          Abstract

          Mutations to the splicing machinery may have an important role in myelodysplasia. Here, the authors describe splicing factor gene mutations in myelodysplasia and report tumor suppressor, epigenetic, iron metabolism and heme biosynthesis genes as their targets.

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          Most cited references38

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          Computational methods for transcriptome annotation and quantification using RNA-seq.

          High-throughput RNA sequencing (RNA-seq) promises a comprehensive picture of the transcriptome, allowing for the complete annotation and quantification of all genes and their isoforms across samples. Realizing this promise requires increasingly complex computational methods. These computational challenges fall into three main categories: (i) read mapping, (ii) transcriptome reconstruction and (iii) expression quantification. Here we explain the major conceptual and practical challenges, and the general classes of solutions for each category. Finally, we highlight the interdependence between these categories and discuss the benefits for different biological applications.
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            Alternative splicing: a pivotal step between eukaryotic transcription and translation.

            Alternative splicing was discovered simultaneously with splicing over three decades ago. Since then, an enormous body of evidence has demonstrated the prevalence of alternative splicing in multicellular eukaryotes, its key roles in determining tissue- and species-specific differentiation patterns, the multiple post- and co-transcriptional regulatory mechanisms that control it, and its causal role in hereditary disease and cancer. The emerging evidence places alternative splicing in a central position in the flow of eukaryotic genetic information, between transcription and translation, in that it can respond not only to various signalling pathways that target the splicing machinery but also to transcription factors and chromatin structure.
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              Dynamics of clonal evolution in myelodysplastic syndromes

              Jaroslaw Maciejewski, Seishi Ogawa and colleagues examine the clonal dynamics of myelodysplastic syndromes (MDS) by analyzing whole-exome and targeted sequencing data from a large patient collection. They find that progression steps previously defined by pathologic criteria are accompanied by distinct molecular changes, and they show that driver genes can be classified into molecular subtypes differentially associated with low-risk MDS, high-risk MDS or secondary acute myeloid leukemia.
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                Author and article information

                Contributors
                sogawa-tky@umin.ac.jp
                mario.cazzola@unipv.it
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                7 September 2018
                7 September 2018
                2018
                : 9
                : 3649
                Affiliations
                [1 ]ISNI 0000 0001 2151 536X, GRID grid.26999.3d, Department of Pediatrics, , The University of Tokyo, ; Tokyo, 113-8655 Japan
                [2 ]ISNI 0000 0004 0372 2033, GRID grid.258799.8, Department of Pathology and Tumor Biology, , Kyoto University, ; Kyoto, 606-8501 Japan
                [3 ]ISNI 0000 0004 1762 5736, GRID grid.8982.b, Department of Molecular Medicine, , University of Pavia, ; 27100 Pavia, Italy
                [4 ]ISNI 0000 0004 1760 3027, GRID grid.419425.f, Department of Hematology Oncology, , Fondazione IRCCS Policlinico San Matteo & University of Pavia, ; 27100 Pavia, Italy
                [5 ]ISNI 0000 0001 2151 536X, GRID grid.26999.3d, Department of Urology, , The University of Tokyo, ; Tokyo, 113-8655 Japan
                [6 ]ISNI 0000 0004 0378 7902, GRID grid.410840.9, Department of Advanced Diagnosis, Clinical Research Center, , Nagoya Medical Center, ; Nagoya, 460-0001 Japan
                [7 ]ISNI 0000 0001 2151 536X, GRID grid.26999.3d, Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, , The University of Tokyo, ; Tokyo, 108-8639 Japan
                [8 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Department of Medicine, Center for Hematology and Regenerative Medicine, , Karolinska Institutet, ; SE-171 77 Stockholm, Sweden
                [9 ]ISNI 0000 0001 2151 536X, GRID grid.26999.3d, Laboratory of Sequence Analysis, Human Genome Center, The Institute of Medical Science, , The University of Tokyo, ; Tokyo, 108-8639 Japan
                Author information
                http://orcid.org/0000-0001-5983-8578
                Article
                6063
                10.1038/s41467-018-06063-x
                6128865
                30194306
                dc6bf5a3-f644-4ade-8ebd-af7abcecd852
                © The Author(s) 2018

                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 February 2018
                : 30 July 2018
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