2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Selenophosphate synthetase 1 deficiency exacerbates osteoarthritis by dysregulating redox homeostasis

      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

          Aging and mechanical overload are prominent risk factors for osteoarthritis (OA), which lead to an imbalance in redox homeostasis. The resulting state of oxidative stress drives the pathological transition of chondrocytes during OA development. However, the specific molecular pathways involved in disrupting chondrocyte redox homeostasis remain unclear. Here, we show that selenophosphate synthetase 1 (SEPHS1) expression is downregulated in human and mouse OA cartilage. SEPHS1 downregulation impairs the cellular capacity to synthesize a class of selenoproteins with oxidoreductase functions in chondrocytes, thereby elevating the level of reactive oxygen species (ROS) and facilitating chondrocyte senescence. Cartilage-specific Sephs1 knockout in adult mice causes aging-associated OA, and augments post-traumatic OA, which is rescued by supplementation of N-acetylcysteine (NAC). Selenium-deficient feeding and Sephs1 knockout have synergistic effects in exacerbating OA pathogenesis in mice. Therefore, we propose that SEPHS1 is an essential regulator of selenium metabolism and redox homeostasis, and its dysregulation governs the progression of OA.

          Abstract

          Osteoarthritis is caused by the gradual accumulation of oxidative stress in cartilage. Here, the authors show that dysregulation of the selenium metabolic pathway underlies a shift in redox homeostasis in chondrocytes, leading to chronic osteoarthritic changes in joints.

          Related collections

          Most cited references73

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            NIH Image to ImageJ: 25 years of image analysis

            For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              HISAT: a fast spliced aligner with low memory requirements.

              HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
                Bookmark

                Author and article information

                Contributors
                imbglmg@snu.ac.kr
                jinhkim@snu.ac.kr
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                9 February 2022
                9 February 2022
                2022
                : 13
                : 779
                Affiliations
                [1 ]GRID grid.410720.0, ISNI 0000 0004 1784 4496, Center for RNA Research, , Institute for Basic Science, ; Seoul, 08826 South Korea
                [2 ]GRID grid.31501.36, ISNI 0000 0004 0470 5905, Department of Biological Sciences, College of Natural Sciences, , Seoul National University, ; Seoul, 08826 South Korea
                [3 ]GRID grid.94365.3d, ISNI 0000 0001 2297 5165, Mouse Cancer Genetics Program, National Cancer Institute, , National Institutes of Health, ; Bethesda, MD 20892 USA
                [4 ]GRID grid.31501.36, ISNI 0000 0004 0470 5905, Department of Orthopaedic Surgery, , Seoul National University College of Medicine, Boramae Hospital, ; Seoul, 07061 South Korea
                [5 ]GRID grid.412480.b, ISNI 0000 0004 0647 3378, Department of Orthopaedic Surgery, , Seoul National University Bundang Hospital, ; Seongnam, 13620 South Korea
                [6 ]GRID grid.222754.4, ISNI 0000 0001 0840 2678, Department of Biotechnology, College of Life Sciences and Biotechnology, , Korea University, ; Seoul, 02841 South Korea
                [7 ]GRID grid.38142.3c, ISNI 000000041936754X, Division of Genetics, Department of Medicine, , Brigham and Women’s Hospital and Harvard Medical School, ; Boston, MA 02115 USA
                [8 ]GRID grid.31501.36, ISNI 0000 0004 0470 5905, Interdisciplinary Program in Bioinformatics, , Seoul National University, ; Seoul, 08826 South Korea
                Author information
                http://orcid.org/0000-0003-1966-1397
                http://orcid.org/0000-0001-6489-1832
                http://orcid.org/0000-0003-1467-1940
                http://orcid.org/0000-0002-0372-7016
                http://orcid.org/0000-0002-6480-1929
                Article
                28385
                10.1038/s41467-022-28385-7
                8828855
                35140209
                c98813ff-c80c-421b-8139-8073c423360d
                © The Author(s) 2022

                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
                : 26 March 2020
                : 24 January 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003725, National Research Foundation of Korea (NRF);
                Award ID: NRF-2021R1I1A1A01055626
                Award ID: NRF-2015M3A9E6028674
                Award ID: NRF-2016R1A5A1010764
                Award ID: NRF-2017M3A9D8064193
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100003621, Ministry of Science, ICT and Future Planning (MSIP);
                Award ID: IBS-R008-D1
                Award Recipient :
                Funded by: Suh Kyungbae Foundation
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                senescence,translational research,osteoarthritis
                Uncategorized
                senescence, translational research, osteoarthritis

                Comments

                Comment on this article