8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Chromosomal instability by mutations in the novel minor spliceosome component CENATAC

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Aneuploidy is the leading cause of miscarriage and congenital birth defects, and a hallmark of cancer. Despite this strong association with human disease, the genetic causes of aneuploidy remain largely unknown. Through exome sequencing of patients with constitutional mosaic aneuploidy, we identified biallelic truncating mutations in CENATAC ( CCDC84). We show that CENATAC is a novel component of the minor (U12‐dependent) spliceosome that promotes splicing of a specific, rare minor intron subtype. This subtype is characterized by AT‐AN splice sites and relatively high basal levels of intron retention. CENATAC depletion or expression of disease mutants resulted in excessive retention of AT‐AN minor introns in ˜ 100 genes enriched for nucleocytoplasmic transport and cell cycle regulators, and caused chromosome segregation errors. Our findings reveal selectivity in minor intron splicing and suggest a link between minor spliceosome defects and constitutional aneuploidy in humans.

          Abstract

          Biallelic CCDC84/CENATAC mutations identified through patient exome sequencing link altered minor intron splicing to constitutional mosaic aneuploidy in humans.

          Related collections

          Most cited references95

          • Record: found
          • Abstract: found
          • Article: not found

          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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/.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

              Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope-labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
                Bookmark

                Author and article information

                Contributors
                mikko.frilander@helsinki.fi
                g.kops@hubrecht.eu
                Journal
                EMBO J
                EMBO J
                10.1002/(ISSN)1460-2075
                EMBJ
                embojnl
                The EMBO Journal
                John Wiley and Sons Inc. (Hoboken )
                0261-4189
                1460-2075
                19 May 2021
                15 July 2021
                19 May 2021
                : 40
                : 14 ( doiID: 10.1002/embj.v40.14 )
                : e106536
                Affiliations
                [ 1 ] Oncode Institute Hubrecht Institute ‐ Royal Academy of Arts and Sciences and University Medical Centre Utrecht Utrecht The Netherlands
                [ 2 ] Institute of Biotechnology Helsinki Institute of Life Science University of Helsinki Helsinki Finland
                [ 3 ] Division of Genetics and Epidemiology Institute of Cancer Research London UK
                [ 4 ] Theoretical Biology and Bioinformatics, Biology Science Faculty Utrecht University Utrecht The Netherlands
                [ 5 ] Oncode Institute Department of Molecular Biology Faculty of Science Radboud Institute for Molecular Life Science Radboud University Nijmegen Nijmegen The Netherlands
                [ 6 ] Service de Génétique Médicale Unité de génétique Clinique CHU Hotel Dieu Nantes Cedex France
                [ 7 ]Present address: Faculty of Medicine Research Programs Unit University of Helsinki Helsinki Finland
                [ 8 ]Present address: Department of Biochemistry University of Cambridge Cambridge UK
                [ 9 ]Present address: Unité d'Ecologie Systématique et Evolution CNRS Université Paris‐Sud Université Paris‐Saclay AgroParisTech Orsay France
                Author notes
                [*] [* ] *Corresponding author. Tel: +358 2941 59509; E‐mail: mikko.frilander@ 123456helsinki.fi

                **Corresponding author. Tel: +313 0212 1907; E‐mail: g.kops@ 123456hubrecht.eu

                [†]

                These authors contributed equally to this work

                [‡]

                These authors contributed equally to this work as senior authors

                Author information
                https://orcid.org/0000-0001-9533-3059
                https://orcid.org/0000-0003-0836-6894
                https://orcid.org/0000-0002-1732-4808
                https://orcid.org/0000-0003-3555-5295
                Article
                EMBJ2020106536
                10.15252/embj.2020106536
                8280824
                34009673
                ae6fd426-fc7d-42fd-8f29-c834d8da1388
                © 2021 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 April 2021
                : 14 August 2020
                : 19 April 2021
                Page count
                Figures: 12, Tables: 0, Pages: 18, Words: 14088
                Funding
                Funded by: KWF Kankerbestrijding (DCS) , doi 10.13039/501100004622;
                Funded by: Cancer Genomics Centre (CGC) , doi 10.13039/100008470;
                Funded by: Wellcome Trust (WT)
                Award ID: 100210/Z/12/Z
                Funded by: Sigrid Jusélius Foundation
                Funded by: Jane and Aatos Erkko Foundation
                Funded by: Academy of Finland
                Award ID: 1308657
                Funded by: The Dutch Research Council (NWO)
                Award ID: OCENW.KLEIN.182
                Categories
                Article
                Articles
                Custom metadata
                2.0
                15 July 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.4 mode:remove_FC converted:15.07.2021

                Molecular biology
                aneuploidy,ccdc84,cenatac,minor spliceosome,cell cycle,genetics, gene therapy & genetic disease,rna biology

                Comments

                Comment on this article