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Song Z, Bae B, Schnabl S, Yuan F, De Zoysa T, Akinyi M, Le Roux C, Choquet K, Whipple A, Van Nostrand E. Mapping snoRNA-target RNA interactions in an RNA binding protein-dependent manner with chimeric eCLIP. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.19.613955. [PMID: 39345503 PMCID: PMC11429978 DOI: 10.1101/2024.09.19.613955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
Small nucleolar RNAs (snoRNAs) are non-coding RNAs that function in ribosome and spliceosome biogenesis, primarily by guiding modifying enzymes to specific sites on ribosomal RNA (rRNA) and spliceosomal RNA (snRNA). However, many orphan snoRNAs remain uncharacterized, with unidentified or unvalidated targets, and studies on additional snoRNA-associated proteins are limited. We adapted an enhanced chimeric eCLIP approach to comprehensively profile snoRNA-target RNA interactions using both core and accessory snoRNA binding proteins as baits. Using core snoRNA binding proteins, we confirmed most annotated snoRNA-rRNA and snoRNA-snRNA interactions in mouse and human cell lines and called novel, high-confidence interactions for orphan snoRNAs. While some of these interactions result in chemical modification, others may have modification-independent functions. We then showed that snoRNA ribonucleoprotein complexes containing certain accessory proteins, like WDR43 and NOLC1, enriched for specific subsets of snoRNA-target RNA interactions with distinct roles in ribosome and spliceosome biogenesis. Notably, we discovered that SNORD89 guides 2'-O-methylation at two neighboring sites in U2 snRNA that are important for activating splicing, but also appear to ensure imperfect splicing for a subset of near-constitutive exons. Thus, chimeric eCLIP of snoRNA-associating proteins enables a comprehensive framework for studying snoRNA-target interactions in an RNA binding protein-dependent manner, revealing novel interactions and regulatory roles in RNA biogenesis.
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Affiliation(s)
- Zhuoyi Song
- Therapeutic Innovation Center & the Verna Marrs McLean Department of Biochemistry & Molecular Pharmacology, Baylor College of Medicine, Houston, TX USA
| | - Bongmin Bae
- Department of Molecular & Cellular Biology, Harvard University, Cambridge MA USA
| | - Simon Schnabl
- Department of Molecular & Cellular Biology, Harvard University, Cambridge MA USA
| | - Fei Yuan
- Therapeutic Innovation Center & the Verna Marrs McLean Department of Biochemistry & Molecular Pharmacology, Baylor College of Medicine, Houston, TX USA
| | - Thareendra De Zoysa
- Department of Molecular & Cellular Biology, Harvard University, Cambridge MA USA
| | - Maureen Akinyi
- Therapeutic Innovation Center & the Verna Marrs McLean Department of Biochemistry & Molecular Pharmacology, Baylor College of Medicine, Houston, TX USA
| | - Charlotte Le Roux
- Therapeutic Innovation Center & the Verna Marrs McLean Department of Biochemistry & Molecular Pharmacology, Baylor College of Medicine, Houston, TX USA
| | - Karine Choquet
- Department of Biochemistry and Functional Genomics, Université de Sherbrooke, Québec CA
| | - Amanda Whipple
- Department of Molecular & Cellular Biology, Harvard University, Cambridge MA USA
| | - Eric Van Nostrand
- Therapeutic Innovation Center & the Verna Marrs McLean Department of Biochemistry & Molecular Pharmacology, Baylor College of Medicine, Houston, TX USA
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2
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Heimdörfer D, Vorleuter A, Eschlböck A, Spathopoulou A, Suarez-Cubero M, Farhan H, Reiterer V, Spanjaard M, Schaaf CP, Huber LA, Kremser L, Sarg B, Edenhofer F, Geley S, de Araujo MEG, Huettenhofer A. Truncated variants of MAGEL2 are involved in the etiologies of the Schaaf-Yang and Prader-Willi syndromes. Am J Hum Genet 2024; 111:1383-1404. [PMID: 38908375 PMCID: PMC11267527 DOI: 10.1016/j.ajhg.2024.05.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/24/2024] Open
Abstract
The neurodevelopmental disorders Prader-Willi syndrome (PWS) and Schaaf-Yang syndrome (SYS) both arise from genomic alterations within human chromosome 15q11-q13. A deletion of the SNORD116 cluster, encoding small nucleolar RNAs, or frameshift mutations within MAGEL2 result in closely related phenotypes in individuals with PWS or SYS, respectively. By investigation of their subcellular localization, we observed that in contrast to a predominant cytoplasmic localization of wild-type (WT) MAGEL2, a truncated MAGEL2 mutant was evenly distributed between the cytoplasm and the nucleus. To elucidate regulatory pathways that may underlie both diseases, we identified protein interaction partners for WT or mutant MAGEL2, in particular the survival motor neuron protein (SMN), involved in spinal muscular atrophy, and the fragile-X-messenger ribonucleoprotein (FMRP), involved in autism spectrum disorders. The interactome of the non-coding RNA SNORD116 was also investigated by RNA-CoIP. We show that WT and truncated MAGEL2 were both involved in RNA metabolism, while regulation of transcription was mainly observed for WT MAGEL2. Hence, we investigated the influence of MAGEL2 mutations on the expression of genes from the PWS locus, including the SNORD116 cluster. Thereby, we provide evidence for MAGEL2 mutants decreasing the expression of SNORD116, SNORD115, and SNORD109A, as well as protein-coding genes MKRN3 and SNRPN, thus bridging the gap between PWS and SYS.
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Affiliation(s)
- David Heimdörfer
- Institute of Genomics and RNomics, Biocenter Innsbruck, Medical University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria.
| | - Alexander Vorleuter
- Institute of Genomics and RNomics, Biocenter Innsbruck, Medical University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria
| | - Alexander Eschlböck
- Institute for Molecular Biology, Genomics, Stem Cell Biology & Regenerative Medicine Group, University of Innsbruck and CMBI, Technikerstr. 25, 6020 Innsbruck, Austria
| | - Angeliki Spathopoulou
- Institute for Molecular Biology, Genomics, Stem Cell Biology & Regenerative Medicine Group, University of Innsbruck and CMBI, Technikerstr. 25, 6020 Innsbruck, Austria
| | - Marta Suarez-Cubero
- Institute for Molecular Biology, Genomics, Stem Cell Biology & Regenerative Medicine Group, University of Innsbruck and CMBI, Technikerstr. 25, 6020 Innsbruck, Austria
| | - Hesso Farhan
- Institute of Pathophysiology, Biocenter, Medical University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria
| | - Veronika Reiterer
- Institute of Pathophysiology, Biocenter, Medical University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria
| | - Melanie Spanjaard
- Institute of Human Genetics, Heidelberg University, Im Neuenheimer Feld 366, 69120 Heidelberg, Germany
| | - Christian P Schaaf
- Institute of Human Genetics, Heidelberg University, Im Neuenheimer Feld 366, 69120 Heidelberg, Germany
| | - Lukas A Huber
- Institute of Cell Biology, Biocenter, Medical University of Innsbruck, Innrain 80/82, Innsbruck 6020, Austria
| | - Leopold Kremser
- Institute of Medical Biochemistry, Protein Core Facility, Biocenter, Medical University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria
| | - Bettina Sarg
- Institute of Medical Biochemistry, Protein Core Facility, Biocenter, Medical University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria
| | - Frank Edenhofer
- Institute for Molecular Biology, Genomics, Stem Cell Biology & Regenerative Medicine Group, University of Innsbruck and CMBI, Technikerstr. 25, 6020 Innsbruck, Austria
| | - Stephan Geley
- Institute of Pathophysiology, Biocenter, Medical University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria
| | - Mariana E G de Araujo
- Institute of Cell Biology, Biocenter, Medical University of Innsbruck, Innrain 80/82, Innsbruck 6020, Austria
| | - Alexander Huettenhofer
- Institute of Genomics and RNomics, Biocenter Innsbruck, Medical University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria.
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3
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Gutierrez-Diaz A, Hoffmann S, Gallego-Gómez JC, Bermudez-Santana CI. Systematic computational hunting for small RNAs derived from ncRNAs during dengue virus infection in endothelial HMEC-1 cells. FRONTIERS IN BIOINFORMATICS 2024; 4:1293412. [PMID: 38357577 PMCID: PMC10864640 DOI: 10.3389/fbinf.2024.1293412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/08/2024] [Indexed: 02/16/2024] Open
Abstract
In recent years, a population of small RNA fragments derived from non-coding RNAs (sfd-RNAs) has gained significant interest due to its functional and structural resemblance to miRNAs, adding another level of complexity to our comprehension of small-RNA-mediated gene regulation. Despite this, scientists need more tools to test the differential expression of sfd-RNAs since the current methods to detect miRNAs may not be directly applied to them. The primary reasons are the lack of accurate small RNA and ncRNA annotation, the multi-mapping read (MMR) placement, and the multicopy nature of ncRNAs in the human genome. To solve these issues, a methodology that allows the detection of differentially expressed sfd-RNAs, including canonical miRNAs, by using an integrated copy-number-corrected ncRNA annotation was implemented. This approach was coupled with sixteen different computational strategies composed of combinations of four aligners and four normalization methods to provide a rank-order of prediction for each differentially expressed sfd-RNA. By systematically addressing the three main problems, we could detect differentially expressed miRNAs and sfd-RNAs in dengue virus-infected human dermal microvascular endothelial cells. Although more biological evaluations are required, two molecular targets of the hsa-mir-103a and hsa-mir-494 (CDK5 and PI3/AKT) appear relevant for dengue virus (DENV) infections. Here, we performed a comprehensive annotation and differential expression analysis, which can be applied in other studies addressing the role of small fragment RNA populations derived from ncRNAs in virus infection.
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Affiliation(s)
- Aimer Gutierrez-Diaz
- Grupo Rnomica Teórica y Computacional, Departamento de Biología, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Steve Hoffmann
- Faculty of Biosciences, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Friedrich Schiller University Jena, Jena, Germany
| | - Juan Carlos Gallego-Gómez
- Molecular and Translational Medicine Group, Medicine Faculty Universidad de Antioquia, Medellin, Colombia
| | - Clara Isabel Bermudez-Santana
- Grupo Rnomica Teórica y Computacional, Departamento de Biología, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, Colombia
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4
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Haddad-Mashadrizeh A, Mirahmadi M, Taghavizadeh Yazdi ME, Gholampour-Faroji N, Bahrami A, Zomorodipour A, Moghadam Matin M, Qayoomian M, Saebnia N. Introns and Their Therapeutic Applications in Biomedical Researches. IRANIAN JOURNAL OF BIOTECHNOLOGY 2023; 21:e3316. [PMID: 38269198 PMCID: PMC10804063 DOI: 10.30498/ijb.2023.334488.3316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 03/23/2023] [Indexed: 01/26/2024]
Abstract
Context Although for a long time, it was thought that intervening sequences (introns) were junk DNA without any function, their critical roles and the underlying molecular mechanisms in genome regulation have only recently come to light. Introns not only carry information for splicing, but they also play many supportive roles in gene regulation at different levels. They are supposed to function as useful tools in various biological processes, particularly in the diagnosis and treatment of diseases. Introns can contribute to numerous biological processes, including gene silencing, gene imprinting, transcription, mRNA metabolism, mRNA nuclear export, mRNA localization, mRNA surveillance, RNA editing, NMD, translation, protein stability, ribosome biogenesis, cell growth, embryonic development, apoptosis, molecular evolution, genome expansion, and proteome diversity through various mechanisms. Evidence Acquisition In order to fulfill the objectives of this study, the following databases were searched: Medline, Scopus, Web of Science, EBSCO, Open Access Journals, and Google Scholar. Only articles published in English were included. Results & Conclusions The intervening sequences of eukaryotic genes have critical functions in genome regulation, as well as in molecular evolution. Here, we summarize recent advances in our understanding of how introns influence genome regulation, as well as their effects on molecular evolution. Moreover, therapeutic strategies based on intron sequences are discussed. According to the obtained results, a thorough understanding of intron functional mechanisms could lead to new opportunities in disease diagnosis and therapies, as well as in biotechnology applications.
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Affiliation(s)
- Aliakbar Haddad-Mashadrizeh
- Industrial Biotechnology Research Group, Institute of Biotechnology, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Mahdi Mirahmadi
- Stem Cell and Regenerative Medicine Research Group, Iranian Academic Center for Education, Culture and Research (ACECR), Khorasan Razavi Branch, Mashhad, Iran
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Nazanin Gholampour-Faroji
- Industrial Biotechnology Research Group, Institute of Biotechnology, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Ahmadreza Bahrami
- Industrial Biotechnology Research Group, Institute of Biotechnology, Ferdowsi University of Mashhad, Mashhad, Iran
- Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran
| | | | - Maryam Moghadam Matin
- Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Mohsen Qayoomian
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Neda Saebnia
- Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran
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5
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Chabronova A, van den Akker GGH, Housmans BAC, Caron MMJ, Cremers A, Surtel DAM, Wichapong K, Peffers MMJ, van Rhijn LW, Marchand V, Motorin Y, Welting TJM. Ribosomal RNA-based epitranscriptomic regulation of chondrocyte translation and proteome in osteoarthritis. Osteoarthritis Cartilage 2023; 31:374-385. [PMID: 36621590 DOI: 10.1016/j.joca.2022.12.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 12/08/2022] [Accepted: 12/30/2022] [Indexed: 01/07/2023]
Abstract
OBJECTIVE Osteoarthritis-related cartilage extracellular matrix remodeling is dependent on changes in chondrocyte protein expression. Yet, the role of ribosomes in chondrocyte translation regulation is unknown. In this exploratory study, we investigated ribosomal RNA (rRNA) epitranscriptomic-based ribosome heterogeneity in human articular chondrocytes and its relevance for osteoarthritis. METHODS Sequencing-based rRNA 2'-O-methylation profiling analysis (RiboMethSeq) was performed on non-OA primary human articular chondrocytes (n = 5) exposed for 14 days to osteoarthritic synovial fluid (14 donors, pooled, 20% v/v). The SW1353 SNORD71 KO cell pool was generated using LentiCRISPRv2/Cas9. The mode of translation initiation and fidelity were determined by dual-luciferase reporters. The cellular proteome was analyzed by LC-MS/MS and collagen type I protein expression was evaluated by immunoblotting. Loading of COL1A1 mRNA into polysomes was determined by sucrose gradient ultracentrifugation and fractionation. RESULTS We discovered that osteoarthritic synovial fluid instigates site-specific changes in the rRNA 2'-O-me profile of primary human articular chondrocytes. We identified five sites with differential 2'-O-me levels. The 2'-O-me status of 5.8S-U14 (one of identified differential 2'-O-me sites; decreased by 7.7%, 95% CI [0.9-14.5%]) was targeted by depleting the level of its guide snoRNA SNORD71 (50% decrease, 95% CI [33-64%]). This resulted in an altered ribosome translation modus (e.g., CrPV IRES, FC 3, 95% CI [2.2-4.1]) and promoted translation of COL1A1 mRNA which led to increased levels of COL1A1 protein (FC 1.7, 95% CI [1.3-2.0]). CONCLUSIONS Our data identify a novel concept suggesting that articular chondrocytes employ rRNA epitranscriptomic mechanisms in osteoarthritis development.
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Affiliation(s)
- A Chabronova
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University, Maastricht, the Netherlands
| | - G G H van den Akker
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University, Maastricht, the Netherlands
| | - B A C Housmans
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University, Maastricht, the Netherlands
| | - M M J Caron
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University, Maastricht, the Netherlands
| | - A Cremers
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University, Maastricht, the Netherlands
| | - D A M Surtel
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University, Maastricht, the Netherlands
| | - K Wichapong
- Cardiovascular Research Institute Maastricht (CARIM), Department of Biochemistry, Maastricht University, Maastricht, the Netherlands
| | - M M J Peffers
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - L W van Rhijn
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University, Maastricht, the Netherlands
| | - V Marchand
- Université de Lorraine, UAR2008 IBSLor CNRS-INSERM, BioPole, Nancy, France
| | - Y Motorin
- Université de Lorraine, UAR2008 IBSLor CNRS-INSERM, BioPole, Nancy, France; Université de Lorraine, UMR7365 IMoPA, CNRS, BioPole, Nancy, France
| | - T J M Welting
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University, Maastricht, the Netherlands.
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6
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Zhang W, Liu B. iSnoDi-LSGT: identifying snoRNA-disease associations based on local similarity constraints and global topological constraints. RNA (NEW YORK, N.Y.) 2022; 28:1558-1567. [PMID: 36192132 PMCID: PMC9670808 DOI: 10.1261/rna.079325.122] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Growing evidence proves that small nucleolar RNAs (snoRNAs) have important functions in various biological processes, the malfunction of which leads to the emergence and development of complex diseases. However, identifying snoRNA-disease associations is an ongoing challenging task due to the considerable time- and money-consuming biological experiments. Therefore, it is urgent to design efficient and economical methods for the identification of snoRNA-disease associations. In this regard, we propose a computational method named iSnoDi-LSGT, which utilizes snoRNA sequence similarity and disease similarity as local similarity constraints. The iSnoDi-LSGT predictor further employs network embedding technology to extract topological features of snoRNAs and diseases, based on which snoRNA topological similarity and disease topological similarity are calculated as global topological constraints. To the best of our knowledge, the iSnoDi-LSGT is the first computational method for snoRNA-disease association identification. The experimental results indicate that the iSnoDi-LSGT predictor can effectively predict unknown snoRNA-disease associations. The web server of the iSnoDi-LSGT predictor is freely available at http://bliulab.net/iSnoDi-LSGT.
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Affiliation(s)
- Wenxiang Zhang
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Bin Liu
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
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7
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Wang K, Song X, Wang S, Li X, Zhang Z, Xie L, Song X. Plasma
SNORD42B
and
SNORD111
as potential biomarkers for early diagnosis of non‐small cell lung cancer. J Clin Lab Anal 2022; 36:e24740. [PMID: 36284435 PMCID: PMC9701848 DOI: 10.1002/jcla.24740] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 10/04/2022] [Accepted: 10/06/2022] [Indexed: 12/04/2022] Open
Abstract
Background Non‐small‐cell lung cancer (NSCLC) still occupied the leading reason of cancer death due to lack of availability of early detection. This study aimed to identify the effective biomarkers for the early‐stage NSCLC diagnostics based on plasma snoRNAs. Materials and Methods The differential snoRNAs between lung cancer patients and healthy donors were analyzed using the SNORic and TCGA databases. SNORD42B and SNORD111 were screened out and further verified in 48 FFPE NSCLC and adjacent normal tissues, as well as in plasma from 165 NSCLC patients and 118 health donors using qRT‐PCR. Next, their diagnostic efficiency, as well as combined with carcinoembryonic antigen (CEA), was obtained by the analysis of receiver operating characteristic (ROC). Results We first screened out 47 top differential snoRNAs, among which the top 10 upregulated snoRNAs in LUAD were U44, U75, U78, U77, SNORD72, SNORD13, SNORD12B, SCARNA5, U80, SNORD41, and in LUSC were U44, U75, U78, SNORD41, SNORD111, SNORA56, U17a, SNORD35A, SNORD32A, SNORA71D. SNORD42B and SNORD111 was significantly increased not only in tumor tissues but also in plasma from NSCLC and early‐stage NSCLC patients. They were capable to act as promising biomarkers for NSCLC and early‐stage NSCLC diagnosis. Moreover, CEA diagnostic efficiency for early‐stage NSCLC was significantly improved when combined with these two plasma snoRNAs. Conclusion SNORD42B and SNORD111 could act as the potential and non‐invasive diagnostic biomarkers for NSCLC and early‐stage NSCLC.
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Affiliation(s)
- Kangyu Wang
- Department of Clinical Laboratory Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan China
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University Jinan China
| | - Xingguo Song
- Department of Clinical Laboratory Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan China
| | - Shiwen Wang
- Department of Clinical Laboratory Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan China
| | - Xinyi Li
- Department of Clinical Laboratory Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan China
| | - Zhijun Zhang
- Department of Clinical Laboratory Taian City Central Hospital Taian China
| | - Li Xie
- Department of Clinical Laboratory Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan China
| | - Xianrang Song
- Department of Clinical Laboratory Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan China
- Shandong Provincial Key Laboratory of Radiation Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan China
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8
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Liang J, Li G, Liao J, Huang Z, Wen J, Wang Y, Chen Z, Cai G, Xu W, Ding Z, Liang H, Datta PK, Chu L, Chen X, Zhang B. Non-coding small nucleolar RNA SNORD17 promotes the progression of hepatocellular carcinoma through a positive feedback loop upon p53 inactivation. Cell Death Differ 2022; 29:988-1003. [PMID: 35034103 PMCID: PMC9090725 DOI: 10.1038/s41418-022-00929-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 12/13/2021] [Accepted: 12/23/2021] [Indexed: 12/11/2022] Open
Abstract
Recent evidence suggests that small nucleolar RNAs (snoRNAs) are involved in the progression of various cancers, but their precise roles in hepatocellular carcinoma (HCC) remain largely unclear. Here, we report that SNORD17 promotes the progression of HCC through a positive feedback loop with p53. HCC-related microarray datasets from the Gene Expression Omnibus (GEO) database and clinical HCC samples were used to identify clinically relevant snoRNAs in HCC. SNORD17 was found upregulated in HCC tissues compared with normal liver tissues, and the higher expression of SNORD17 predicted poor outcomes in patients with HCC, especially in those with wild-type p53. SNORD17 promoted the growth and tumorigenicity of HCC cells in vitro and in vivo by inhibiting p53-mediated cell cycle arrest and apoptosis. Mechanistically, SNORD17 anchored nucleophosmin 1 (NPM1) and MYB binding protein 1a (MYBBP1A) in the nucleolus by binding them simultaneously. Loss of SNORD17 promoted the translocation of NPM1 and MYBBP1A into the nucleoplasm, leading to NPM1/MDM2-mediated stability and MYBBP1A/p300-mediated activation of p53. Interestingly, p300-mediated acetylation of p53 inhibited SNORD17 expression by binding to the promoter of SNORD17 in turn, forming a positive feedback loop between SNORD17 and p53. Administration of SNORD17 antisense oligonucleotides (ASOs) significantly suppressed the growth of xenograft tumors in mice. In summary, this study suggests that SNORD17 drives cancer progression by constitutively inhibiting p53 signaling in HCC and may represent a potential therapeutic target for HCC.
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Affiliation(s)
- Junnan Liang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ganxun Li
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingyu Liao
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhao Huang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingyuan Wen
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Wang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zeyu Chen
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guangzhen Cai
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiqi Xu
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zeyang Ding
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huifang Liang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pran K Datta
- Division of Hematology and Oncology, Department of Medicine, UAB Comprehensive Cancer Center, Birmingham, AL, USA
| | - Liang Chu
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. .,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China. .,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Xiaoping Chen
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. .,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China. .,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. .,Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China.
| | - Bixiang Zhang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. .,Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China. .,Hubei Key Laboratory of Hepato-Pancreatic-Biliary Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. .,Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China.
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9
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Lambert M, Benmoussa A, Diallo I, Ouellet-Boutin K, Dorval V, Majeau N, Joly-Beauparlant C, Droit A, Bergeron A, Têtu B, Fradet Y, Pouliot F, Provost P. Identification of Abundant and Functional dodecaRNAs (doRNAs) Derived from Ribosomal RNA. Int J Mol Sci 2021; 22:9757. [PMID: 34575920 PMCID: PMC8467515 DOI: 10.3390/ijms22189757] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/02/2021] [Accepted: 09/05/2021] [Indexed: 12/17/2022] Open
Abstract
Using a modified RNA-sequencing (RNA-seq) approach, we discovered a new family of unusually short RNAs mapping to ribosomal RNA 5.8S, which we named dodecaRNAs (doRNAs), according to the number of core nucleotides (12 nt) their members contain. Using a new quantitative detection method that we developed, we confirmed our RNA-seq data and determined that the minimal core doRNA sequence and its 13-nt variant C-doRNA (doRNA with a 5' Cytosine) are the two most abundant doRNAs, which, together, may outnumber microRNAs. The C-doRNA/doRNA ratio is stable within species but differed between species. doRNA and C-doRNA are mainly cytoplasmic and interact with heterogeneous nuclear ribonucleoproteins (hnRNP) A0, A1 and A2B1, but not Argonaute 2. Reporter gene activity assays suggest that C-doRNA may function as a regulator of Annexin II receptor (AXIIR) expression. doRNAs are differentially expressed in prostate cancer cells/tissues and may control cell migration. These findings suggest that unusually short RNAs may be more abundant and important than previously thought.
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Affiliation(s)
- Marine Lambert
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Department of Microbiology, Infectious Diseases and Immunology, Université Laval, Quebec City, QC G1V 4G2, Canada
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Abderrahim Benmoussa
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Department of Microbiology, Infectious Diseases and Immunology, Université Laval, Quebec City, QC G1V 4G2, Canada
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Idrissa Diallo
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Department of Microbiology, Infectious Diseases and Immunology, Université Laval, Quebec City, QC G1V 4G2, Canada
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Katheryn Ouellet-Boutin
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Department of Microbiology, Infectious Diseases and Immunology, Université Laval, Quebec City, QC G1V 4G2, Canada
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Véronique Dorval
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
| | - Nathalie Majeau
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
| | - Charles Joly-Beauparlant
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
- Department of Molecular Medicine, Université Laval, Quebec City, QC G1V 4G2, Canada
| | - Arnaud Droit
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
- Department of Molecular Medicine, Université Laval, Quebec City, QC G1V 4G2, Canada
| | - Alain Bergeron
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
- Department of Surgery, Université Laval, Quebec City, QC G1R 2J6, Canada
| | - Bernard Têtu
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Yves Fradet
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
- Department of Surgery, Université Laval, Quebec City, QC G1R 2J6, Canada
| | - Frédéric Pouliot
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
- Department of Surgery, Université Laval, Quebec City, QC G1R 2J6, Canada
| | - Patrick Provost
- CHU de Québec Research Center/CHUL Pavilion—Université Laval, 2705 boulevard Laurier, Quebec City, QC G1V 4G2, Canada; (M.L.); (A.B.); (I.D.); (K.O.-B.); (N.M.); (C.J.-B.); (A.D.); (A.B.); (B.T.); (Y.F.); (F.P.)
- Department of Microbiology, Infectious Diseases and Immunology, Université Laval, Quebec City, QC G1V 4G2, Canada
- Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
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10
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Breuer R, Gomes-Filho JV, Randau L. Conservation of Archaeal C/D Box sRNA-Guided RNA Modifications. Front Microbiol 2021; 12:654029. [PMID: 33776983 PMCID: PMC7994747 DOI: 10.3389/fmicb.2021.654029] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 02/19/2021] [Indexed: 12/18/2022] Open
Abstract
Post-transcriptional modifications fulfill many important roles during ribosomal RNA maturation in all three domains of life. Ribose 2'-O-methylations constitute the most abundant chemical rRNA modification and are, for example, involved in RNA folding and stabilization. In archaea, these modification sites are determined by variable sets of C/D box sRNAs that guide the activity of the rRNA 2'-O-methyltransferase fibrillarin. Each C/D box sRNA contains two guide sequences that can act in coordination to bridge rRNA sequences. Here, we will review the landscape of archaeal C/D box sRNA genes and their target sites. One focus is placed on the apparent accelerated evolution of guide sequences and the varied pairing of the two individual guides, which results in different rRNA modification patterns and RNA chaperone activities.
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Affiliation(s)
| | | | - Lennart Randau
- Prokaryotic RNA Biology, Philipps-Universität Marburg, Marburg, Germany
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11
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Morais P, Adachi H, Yu YT. Spliceosomal snRNA Epitranscriptomics. Front Genet 2021; 12:652129. [PMID: 33737950 PMCID: PMC7960923 DOI: 10.3389/fgene.2021.652129] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 02/08/2021] [Indexed: 12/15/2022] Open
Abstract
Small nuclear RNAs (snRNAs) are critical components of the spliceosome that catalyze the splicing of pre-mRNA. snRNAs are each complexed with many proteins to form RNA-protein complexes, termed as small nuclear ribonucleoproteins (snRNPs), in the cell nucleus. snRNPs participate in pre-mRNA splicing by recognizing the critical sequence elements present in the introns, thereby forming active spliceosomes. The recognition is achieved primarily by base-pairing interactions (or nucleotide-nucleotide contact) between snRNAs and pre-mRNA. Notably, snRNAs are extensively modified with different RNA modifications, which confer unique properties to the RNAs. Here, we review the current knowledge of the mechanisms and functions of snRNA modifications and their biological relevance in the splicing process.
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Affiliation(s)
| | - Hironori Adachi
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, NY, United States
| | - Yi-Tao Yu
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, NY, United States
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12
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Small nucleolar RNAs: continuing identification of novel members and increasing diversity of their molecular mechanisms of action. Biochem Soc Trans 2021; 48:645-656. [PMID: 32267490 PMCID: PMC7200641 DOI: 10.1042/bst20191046] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 03/17/2020] [Accepted: 03/19/2020] [Indexed: 12/11/2022]
Abstract
Identified five decades ago amongst the most abundant cellular RNAs, small nucleolar RNAs (snoRNAs) were initially described as serving as guides for the methylation and pseudouridylation of ribosomal RNA through direct base pairing. In recent years, however, increasingly powerful high-throughput genomic approaches and strategies have led to the discovery of many new members of the family and surprising diversity in snoRNA functionality and mechanisms of action. SnoRNAs are now known to target RNAs of many biotypes for a wider range of modifications, interact with diverse binding partners, compete with other binders for functional interactions, recruit diverse players to targets and affect protein function and accessibility through direct interaction. This mini-review presents the continuing characterization of the snoRNome through the identification of new snoRNA members and the discovery of their mechanisms of action, revealing a highly versatile noncoding family playing central regulatory roles and connecting the main cellular processes.
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13
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Abstract
The discovery of new classes of non-coding RNAs has always been preceded or accompanied by technological breakthroughs, and these outstanding progresses in transcriptomics approaches enabled to regularly add new members to the list. From the first detection of tRNAs, through the revolution of miRNAs discovery, to the recent identification of eRNAs or the identification of new functions for already known ncRNAs, this introductive review provides a very concise historical and functional overview of most prominent small regulatory non-coding RNA families.
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Affiliation(s)
| | - Yoann Abel
- IGMM, CNRS, Université de Montpellier, Montpellier, France
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14
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Gautvik KM, Günther CC, Prijatelj V, Medina-Gomez C, Shevroja E, Rad LH, Yazdani M, Lindalen E, Valland H, Gautvik VT, Olstad OK, Holden M, Rivadeneira F, Utheim TP, Reppe S. Distinct Subsets of Noncoding RNAs Are Strongly Associated With BMD and Fracture, Studied in Weight-Bearing and Non-Weight-Bearing Human Bone. J Bone Miner Res 2020; 35:1065-1076. [PMID: 32017184 DOI: 10.1002/jbmr.3974] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 01/22/2020] [Accepted: 01/26/2020] [Indexed: 12/14/2022]
Abstract
We investigated mechanisms resulting in low bone mineral density (BMD) and susceptibility to fracture by comparing noncoding RNAs (ncRNAs) in biopsies of non-weight-bearing (NWB) iliac (n = 84) and weight bearing (WB) femoral (n = 18) postmenopausal bone across BMDs varying from normal (T-score > -1.0) to osteoporotic (T-score ≤ -2.5). Global bone ncRNA concentrations were determined by PCR and microchip analyses. Association with BMD or fracture, adjusted by age and body mass index, were calculated using linear and logistic regression and least absolute shrinkage and selection operator (Lasso) analysis. At 10% false discovery rate (FDR), 75 iliac bone ncRNAs and 94 femoral bone ncRNAs were associated with total hip BMD. Eight of the ncRNAs were common for the two sites, but five of them (miR-484, miR-328-3p, miR-27a-5p, miR-28-3p, and miR-409-3p) correlated positively to BMD in femoral bone, but negatively in iliac bone. Of predicted pathways recognized in bone metabolism, ECM-receptor interaction and proteoglycans in cancer emerged at both sites, whereas fatty acid metabolism and focal adhesion were only identified in iliac bone. Lasso analysis and cross-validations identified sets of nine bone ncRNAs correlating strongly with adjusted total hip BMD in both femoral and iliac bone. Twenty-eight iliac ncRNAs were associated with risk of fracture (FDR < 0.1). The small nucleolar RNAs, RNU44 and RNU48, have a function in stabilization of ribosomal RNAs (rRNAs), and their association with fracture and BMD suggest that aberrant processing of rRNAs may be involved in development of osteoporosis. Cis-eQTL (expressed quantitative trait loci) analysis of the iliac bone biopsies identified two loci associated with microRNAs (miRNAs), one previously identified in a heel-BMD genomewide association study (GWAS). In this comprehensive investigation of the skeletal genetic background in postmenopausal women, we identified functional bone ncRNAs associated to fracture and BMD, representing distinct subsets in WB and NWB skeletal sites. © 2020 The Authors. Journal of Bone and Mineral Research published by American Society for Bone and Mineral Research.
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Affiliation(s)
- Kaare M Gautvik
- Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway.,Department of Molecular Medicine, University of Oslo, Oslo, Norway
| | | | - Vid Prijatelj
- Department of Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Enisa Shevroja
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Leila Heidary Rad
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
| | - Mazyar Yazdani
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
| | - Einar Lindalen
- Orthopaedic Department, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Haldor Valland
- Department of Surgery, Diakonhjemmet Hospital, Oslo, Norway
| | - Vigdis T Gautvik
- Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Ole K Olstad
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
| | | | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Tor P Utheim
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.,Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway.,Department of Ophthalmology, Stavanger University Hospital, Oslo, Norway.,Department of Ophthalmology, Sørlandet Hospital, Arendal, Norway
| | - Sjur Reppe
- Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway.,Department of Molecular Medicine, University of Oslo, Oslo, Norway.,Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.,Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway
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15
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Cervantes M, Forné I, Ranjit S, Gratton E, Imhof A, Sassone-Corsi P. BMAL1 Associates with NOP58 in the Nucleolus and Contributes to Pre-rRNA Processing. iScience 2020; 23:101151. [PMID: 32450515 PMCID: PMC7256328 DOI: 10.1016/j.isci.2020.101151] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 03/30/2020] [Accepted: 05/05/2020] [Indexed: 12/24/2022] Open
Abstract
The transcription factor BMAL1 is a core element of the circadian clock that contributes to cyclic control of genes transcribed by RNA polymerase II. By using biochemical cellular fractionation and immunofluorescence analyses we reveal a previously uncharacterized nucleolar localization for BMAL1. We used an unbiased approach to determine the BMAL1 interactome by mass spectrometry and identified NOP58 as a prominent nucleolar interactor. NOP58, a core component of the box C/D small nucleolar ribonucleoprotein complex, associates with Snord118 to control specific pre-ribosomal RNA (pre-rRNA) processing steps. These results suggest a non-canonical role of BMAL1 in ribosomal RNA regulation. Indeed, we show that BMAL1 controls NOP58-associated Snord118 nucleolar levels and cleavage of unique pre-rRNA intermediates. Our findings identify an unsuspected function of BMAL1 in the nucleolus that appears distinct from its canonical role in the circadian clock system. BMAL1 displays a circadian-independent localization in the nucleolus Bmal1-deficient cells show altered nucleolar morphology Interactome proteomics reveals that BMAL1 associates with nucleolar proteins BMAL1 appears to play a non-canonical, non-circadian role in pre-rRNA processing
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Affiliation(s)
- Marlene Cervantes
- Center for Epigenetics and Metabolism, U1233 INSERM, Department of Biological Chemistry, University of California, Irvine, Irvine, CA 92697, USA
| | - Ignasi Forné
- Protein Analysis Unit, Biomedical Center, Ludwig Maximilian University of Munich, Munich 80539, Germany
| | - Suman Ranjit
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
| | - Enrico Gratton
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
| | - Axel Imhof
- Protein Analysis Unit, Biomedical Center, Ludwig Maximilian University of Munich, Munich 80539, Germany
| | - Paolo Sassone-Corsi
- Center for Epigenetics and Metabolism, U1233 INSERM, Department of Biological Chemistry, University of California, Irvine, Irvine, CA 92697, USA.
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16
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Effects of Cardiac Sympathetic Neurodegeneration and PPAR γ Activation on Rhesus Macaque Whole Blood miRNA and mRNA Expression Profiles. BIOMED RESEARCH INTERNATIONAL 2020; 2020:9426204. [PMID: 32462037 PMCID: PMC7212295 DOI: 10.1155/2020/9426204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 03/13/2020] [Accepted: 04/03/2020] [Indexed: 02/02/2023]
Abstract
Degeneration of sympathetic innervation of the heart occurs in numerous diseases, including diabetes, idiopathic REM sleep disorder, and Parkinson's disease (PD). In PD, cardiac sympathetic denervation occurs in 80-90% of patients and can begin before the onset of motor symptoms. Today, there are no disease-modifying therapies for cardiac sympathetic neurodegeneration, and biomarkers are limited to radioimaging techniques. Analysis of expression levels of coding mRNA and noncoding RNAs, such as microRNAs (miRNAs), can uncover pathways involved in disease, leading to the discovery of biomarkers, pathological mechanisms, and potential drug targets. Whole blood in particular is a clinically relevant source of biomarkers, as blood sampling is inexpensive and simple to perform. Our research group has previously developed a nonhuman primate model of cardiac sympathetic denervation by intravenous administration of the catecholaminergic neurotoxin 6-hydroxydopamine (6-OHDA). In this rhesus macaque (Macaca mulatta) model, imaging with positron emission tomography showed that oral administration of the peroxisome proliferator-activated receptor gamma (PPARγ) agonist pioglitazone (n = 5; 5 mg/kg daily) significantly decreased cardiac inflammation and oxidative stress compared to placebo (n = 5). Here, we report our analysis of miRNA and mRNA expression levels over time in the whole blood of these monkeys. Differential expression of three miRNAs was induced by 6-OHDA (mml-miR-16-2-3p, mml-miR-133d-3p, and mml-miR-1262-5p) and two miRNAs by pioglitazone (mml-miR-204-5p and mml-miR-146b-5p) at 12 weeks posttoxin, while expression of mRNAs involved in inflammatory cytokines and receptors was not significantly affected. Overall, this study contributes to the characterization of rhesus coding and noncoding RNA profiles in normal and disease-like conditions, which may facilitate the identification and clinical translation of biomarkers of cardiac neurodegeneration and neuroprotection.
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17
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Jan MI, Ali T, Ishtiaq A, Mushtaq I, Murtaza I. Prospective Advances in Non-coding RNAs Investigation. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1229:385-426. [PMID: 32285426 DOI: 10.1007/978-981-15-1671-9_24] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Abstract
Non-coding RNAs (ncRNAs) play significant roles in numerous physiological cellular processes and molecular alterations during pathological conditions including heart diseases, cancer, immunological disorders and neurological diseases. This chapter is focusing on the basis of ncRNA relation with their functions and prospective advances in non-coding RNAs particularly miRNAs investigation in the cardiovascular disease management.The field of ncRNAs therapeutics is a very fascinating and challenging too. Scientists have opportunity to develop more advanced therapeutics as well as diagnostic approaches for cardiovascular conditions. Advanced studies are critically needed to deepen the understanding of the molecular biology, mechanism and modulation of ncRNAs and chemical formulations for managing CVDs.
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Affiliation(s)
- Muhammad Ishtiaq Jan
- Department of Biochemistry, Signal Transduction Laboratory, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Tahir Ali
- Department of Biochemistry, Signal Transduction Laboratory, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Ayesha Ishtiaq
- Department of Biochemistry, Signal Transduction Laboratory, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Iram Mushtaq
- Department of Biochemistry, Signal Transduction Laboratory, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Iram Murtaza
- Department of Biochemistry, Signal Transduction Laboratory, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
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18
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Wang X, Li ZT, Yan Y, Lin P, Tang W, Hasler D, Meduri R, Li Y, Hua MM, Qi HT, Lin DH, Shi HJ, Hui J, Li J, Li D, Yang JH, Lin J, Meister G, Fischer U, Liu MF. LARP7-Mediated U6 snRNA Modification Ensures Splicing Fidelity and Spermatogenesis in Mice. Mol Cell 2020; 77:999-1013.e6. [PMID: 32017896 DOI: 10.1016/j.molcel.2020.01.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 11/19/2019] [Accepted: 12/26/2019] [Indexed: 12/13/2022]
Abstract
U6 snRNA, as an essential component of the catalytic core of the pre-mRNA processing spliceosome, is heavily modified post-transcriptionally, with 2'-O-methylation being most common. The role of these modifications in pre-mRNA splicing as well as their physiological function in mammals have remained largely unclear. Here we report that the La-related protein LARP7 functions as a critical cofactor for 2'-O-methylation of U6 in mouse male germ cells. Mechanistically, LARP7 promotes U6 loading onto box C/D snoRNP, facilitating U6 2'-O-methylation by box C/D snoRNP. Importantly, ablation of LARP7 in the male germline causes defective U6 2'-O-methylation, massive alterations in pre-mRNA splicing, and spermatogenic failure in mice, which can be rescued by ectopic expression of wild-type LARP7 but not an U6-loading-deficient mutant LARP7. Our data uncover a novel role of LARP7 in regulating U6 2'-O-methylation and demonstrate the functional requirement of such modification for splicing fidelity and spermatogenesis in mice.
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Affiliation(s)
- Xin Wang
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences - University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhi-Tong Li
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences - University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Yue Yan
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences - University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Penghui Lin
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Wei Tang
- Animal Core Facility, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Daniele Hasler
- Laboratory for RNA Biology, Biochemistry Center Regensburg (BZR), University of Regensburg, Regensburg, Germany
| | | | - Ye Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai 200438, China
| | - Min-Min Hua
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences - University of Chinese Academy of Sciences, Shanghai 200031, China; NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai 200032, China
| | - Hui-Tao Qi
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences - University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Di-Hang Lin
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences - University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Hui-Juan Shi
- NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai 200032, China
| | - Jingyi Hui
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences - University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Jinsong Li
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China; School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China
| | - Dangsheng Li
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences - University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Jian-Hua Yang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Jinzhong Lin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai 200438, China
| | - Gunter Meister
- Laboratory for RNA Biology, Biochemistry Center Regensburg (BZR), University of Regensburg, Regensburg, Germany
| | - Utz Fischer
- Department of Biochemistry, University of Würzburg, 97074 Würzburg, Germany
| | - Mo-Fang Liu
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences - University of Chinese Academy of Sciences, Shanghai 200031, China; School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China.
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19
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Abel Y, Rederstorff M. SnoRNAs and the emerging class of sdRNAs: Multifaceted players in oncogenesis. Biochimie 2019; 164:17-21. [DOI: 10.1016/j.biochi.2019.05.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 05/06/2019] [Indexed: 02/07/2023]
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20
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Ahmed SA, Raabe CA, Cheah HL, Hoe CH, Rozhdestvensky TS, Tang TH. Utilization of Small RNA Genes to Distinguish Vibrio cholerae Biotypes via Multiplex Polymerase Chain Reaction. Am J Trop Med Hyg 2019; 100:1328-1334. [PMID: 30963989 PMCID: PMC6553896 DOI: 10.4269/ajtmh.18-0525] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Accepted: 12/17/2018] [Indexed: 12/20/2022] Open
Abstract
The diarrheal disease "cholera" is caused by Vibrio cholerae, and is primarily confined to endemic regions, mostly in Africa and Asia. It is punctuated by outbreaks and creates severe challenges to public health. The disease-causing strains are most-often members of serogroups O1 and O139. PCR-based methods allow rapid diagnosis of these pathogens, including the identification of their biotypes. However, this necessitates the selection of specific target sequences to differentiate even the closely related biotypes of V. cholerae. Oligonucleotides for selective amplification of small RNA (sRNA) genes that are specific to these V. cholerae subtypes were designed. The resulting multiplex PCR assay was validated using V. cholerae cultures (i.e., 19 V. cholerae and 22 non-V. cholerae isolates) and spiked stool samples. The validation using V. cholerae cultures and spiked stool suspensions revealed detection limits of 10-100 pg DNA per reaction and 1.5 cells/mL suspension, respectively. The multiplex PCR assay that targets sRNA genes for amplification enables the sensitive and specific detection, as well as the differentiation of V. cholerae-O1 classical, O1 El Tor, and O139 biotypes. Most importantly, the assay enables fast and cheaper diagnosis compared with classic culture-based methods.
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Affiliation(s)
- Siti Aminah Ahmed
- Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Penang, Malaysia
| | - Carsten A. Raabe
- Institute of Medical Biochemistry, Centre for Molecular Biology of Inflammation (ZMBE), University of Münster, Münster, Germany
- Brandenburg Medical School (Medizinische Hochschule Brandenburg [MHB]), Neuruppin, Germany
- Institute of Experimental Pathology (ZMBE), University of Münster, Münster, Germany
| | - Hong Leong Cheah
- Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Penang, Malaysia
| | - Chee Hock Hoe
- Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Penang, Malaysia
- Faculty of Veterinary Medicine, Universiti Malaysia Kelantan, Kelantan, Malaysia
| | - Timofey S. Rozhdestvensky
- Medical Faculty, Transgenic Animal and Genetic Engineering Models (TRAM), University of Münster, Münster, Germany
| | - Thean Hock Tang
- Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Penang, Malaysia
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21
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Analysis of Expression Pattern of snoRNAs in Different Cancer Types with Machine Learning Algorithms. Int J Mol Sci 2019; 20:ijms20092185. [PMID: 31052553 PMCID: PMC6539089 DOI: 10.3390/ijms20092185] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 04/29/2019] [Accepted: 04/30/2019] [Indexed: 01/17/2023] Open
Abstract
Small nucleolar RNAs (snoRNAs) are a new type of functional small RNAs involved in the chemical modifications of rRNAs, tRNAs, and small nuclear RNAs. It is reported that they play important roles in tumorigenesis via various regulatory modes. snoRNAs can both participate in the regulation of methylation and pseudouridylation and regulate the expression pattern of their host genes. This research investigated the expression pattern of snoRNAs in eight major cancer types in TCGA via several machine learning algorithms. The expression levels of snoRNAs were first analyzed by a powerful feature selection method, Monte Carlo feature selection (MCFS). A feature list and some informative features were accessed. Then, the incremental feature selection (IFS) was applied to the feature list to extract optimal features/snoRNAs, which can make the support vector machine (SVM) yield best performance. The discriminative snoRNAs included HBII-52-14, HBII-336, SNORD123, HBII-85-29, HBII-420, U3, HBI-43, SNORD116, SNORA73B, SCARNA4, HBII-85-20, etc., on which the SVM can provide a Matthew’s correlation coefficient (MCC) of 0.881 for predicting these eight cancer types. On the other hand, the informative features were fed into the Johnson reducer and repeated incremental pruning to produce error reduction (RIPPER) algorithms to generate classification rules, which can clearly show different snoRNAs expression patterns in different cancer types. The analysis results indicated that extracted discriminative snoRNAs can be important for identifying cancer samples in different types and the expression pattern of snoRNAs in different cancer types can be partly uncovered by quantitative recognition rules.
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Izumikawa K, Nobe Y, Ishikawa H, Yamauchi Y, Taoka M, Sato K, Nakayama H, Simpson RJ, Isobe T, Takahashi N. TDP-43 regulates site-specific 2'-O-methylation of U1 and U2 snRNAs via controlling the Cajal body localization of a subset of C/D scaRNAs. Nucleic Acids Res 2019; 47:2487-2505. [PMID: 30759234 PMCID: PMC6412121 DOI: 10.1093/nar/gkz086] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 01/29/2019] [Accepted: 02/01/2019] [Indexed: 12/12/2022] Open
Abstract
TDP-43 regulates cellular levels of Cajal bodies (CBs) that provide platforms for the assembly and RNA modifications of small nuclear ribonucleoproteins (snRNPs) involved in pre-mRNA splicing. Alterations in these snRNPs may be linked to pathogenesis of amyotrophic lateral sclerosis. However, specific roles for TDP-43 in CBs remain unknown. Here, we demonstrate that TDP-43 regulates the CB localization of four UG-rich motif-bearing C/D-box-containing small Cajal body-specific RNAs (C/D scaRNAs; i.e. scaRNA2, 7, 9 and 28) through the direct binding to these scaRNAs. TDP-43 enhances binding of a CB-localizing protein, WD40-repeat protein 79 (WDR79), to a subpopulation of scaRNA2 and scaRNA28; the remaining population of the four C/D scaRNAs was localized to CB-like structures even with WDR79 depletion. Depletion of TDP-43, in contrast, shifted the localization of these C/D scaRNAs, mainly into the nucleolus, as well as destabilizing scaRNA2, and reduced the site-specific 2'-O-methylation of U1 and U2 snRNAs, including at 70A in U1 snRNA and, 19G, 25G, 47U and 61C in U2 snRNA. Collectively, we suggest that TDP-43 and WDR79 have separate roles in determining CB localization of subsets of C/D and H/ACA scaRNAs.
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Affiliation(s)
- Keiichi Izumikawa
- Department of Applied Biological Science and Global Innovation Research Organizations, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo 183–8509, Japan
| | - Yuko Nobe
- Department of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 Minami-ohsawa, Hachioji, Tokyo 192–0397, Japan
| | - Hideaki Ishikawa
- Department of Applied Biological Science and Global Innovation Research Organizations, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo 183–8509, Japan
| | - Yoshio Yamauchi
- Department of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 Minami-ohsawa, Hachioji, Tokyo 192–0397, Japan
| | - Masato Taoka
- Department of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 Minami-ohsawa, Hachioji, Tokyo 192–0397, Japan
| | - Ko Sato
- Department of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 Minami-ohsawa, Hachioji, Tokyo 192–0397, Japan
| | - Hiroshi Nakayama
- Biomolecular Characterization Unit, RIKEN Center for Sustainable Resource Science, 2-1, Hirosawa, Wako, Saitama 351-0198, Japan
| | - Richard J Simpson
- Department of Applied Biological Science and Global Innovation Research Organizations, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo 183–8509, Japan
- La Trobe Institute for Molecular Science (LIMS), LIMS Building 1, Room 412 La Trobe University, Melbourne Victoria 3086, Australia
| | - Toshiaki Isobe
- Department of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 Minami-ohsawa, Hachioji, Tokyo 192–0397, Japan
| | - Nobuhiro Takahashi
- Department of Applied Biological Science and Global Innovation Research Organizations, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo 183–8509, Japan
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Ectopic expression of Snord115 in choroid plexus interferes with editing but not splicing of 5-Ht2c receptor pre-mRNA in mice. Sci Rep 2019; 9:4300. [PMID: 30862860 PMCID: PMC6414643 DOI: 10.1038/s41598-019-39940-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 02/01/2019] [Indexed: 01/01/2023] Open
Abstract
Serotonin 5-HT2C receptor is a G-protein coupled excitatory receptor that regulates several biochemical pathways and has been implicated in obesity, mental state, sleep cycles, autism, neuropsychiatric disorders and neurodegenerative diseases. The activity of 5-HT2CR is regulated via alternative splicing and A to I editing of exon Vb of its pre-mRNA. Snord115 is a small nucleolar RNA that is expressed in mouse neurons and displays an 18-nucleotide base complementary to exon Vb of 5-HT2CR pre-mRNA. For almost two decades this putative guide element of Snord115 has wandered like a ghost through the literature in attempts to elucidate the biological significance of this complementarity. In mice, Snord115 is expressed in neurons and absent in the choroid plexus where, in contrast, 5-Ht2cr mRNA is highly abundant. Here we report the analysis of 5-Ht2cr pre-mRNA posttranscriptional processing via RNA deep sequencing in a mouse model that ectopically expresses Snord115 in the choroid plexus. In contrast to previous reports, our analysis demonstrated that Snord115 does not control alternative splicing of 5-Ht2cr pre-mRNA in vivo. We identified a modest, yet statistically significant reduction of 5-Ht2cr pre-mRNA A to I editing at the major A, B, C and D sites. We suggest that Snord115 and exon Vb of 5Ht2cr pre-mRNA form a double-stranded structure that is subject to ADAR-mediated A to I editing. To the best of our knowledge, this is the first comprehensive Snord115 gain-of-function analysis based on in vivo mouse models.
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Adachi H, De Zoysa MD, Yu YT. Post-transcriptional pseudouridylation in mRNA as well as in some major types of noncoding RNAs. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2018; 1862:230-239. [PMID: 30414851 DOI: 10.1016/j.bbagrm.2018.11.002] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 10/29/2018] [Accepted: 11/02/2018] [Indexed: 01/13/2023]
Abstract
Pseudouridylation is a post-transcriptional isomerization reaction that converts a uridine to a pseudouridine (Ψ) within an RNA chain. Ψ has chemical properties that are distinct from that of uridine and any other known nucleotides. Experimental data accumulated thus far have indicated that Ψ is present in many different types of RNAs, including coding and noncoding RNAs. Ψ is particularly concentrated in rRNA and spliceosomal snRNAs, and plays an important role in protein translation and pre-mRNA splicing, respectively. Ψ has also been found in mRNA, but its function there remains essentially unknown. In this review, we discuss the mechanisms and functions of RNA pseudouridylation, focusing on rRNA, snRNA and mRNA. We also discuss the methods, which have been developed to detect Ψs in RNAs. This article is part of a Special Issue entitled: mRNA modifications in gene expression control edited by Dr. Soller Matthias and Dr. Fray Rupert.
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Affiliation(s)
- Hironori Adachi
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, 601 Elmwood Avenue, Rochester, NY 14642, USA
| | - Meemanage D De Zoysa
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, 601 Elmwood Avenue, Rochester, NY 14642, USA
| | - Yi-Tao Yu
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, 601 Elmwood Avenue, Rochester, NY 14642, USA.
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Leighton LJ, Bredy TW. Functional Interplay between Small Non-Coding RNAs and RNA Modification in the Brain. Noncoding RNA 2018; 4:E15. [PMID: 29880782 PMCID: PMC6027130 DOI: 10.3390/ncrna4020015] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 05/23/2018] [Accepted: 05/30/2018] [Indexed: 12/11/2022] Open
Abstract
Small non-coding RNAs are essential for transcription, translation and gene regulation in all cell types, but are particularly important in neurons, with known roles in neurodevelopment, neuroplasticity and neurological disease. Many small non-coding RNAs are directly involved in the post-transcriptional modification of other RNA species, while others are themselves substrates for modification, or are functionally modulated by modification of their target RNAs. In this review, we explore the known and potential functions of several distinct classes of small non-coding RNAs in the mammalian brain, focusing on the newly recognised interplay between the epitranscriptome and the activity of small RNAs. We discuss the potential for this relationship to influence the spatial and temporal dynamics of gene activation in the brain, and predict that further research in the field of epitranscriptomics will identify interactions between small RNAs and RNA modifications which are essential for higher order brain functions such as learning and memory.
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Affiliation(s)
- Laura J Leighton
- Cognitive Neuroepigenetics Laboratory, Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia.
| | - Timothy W Bredy
- Cognitive Neuroepigenetics Laboratory, Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia.
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26
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Cheah HL, Raabe CA, Lee LP, Rozhdestvensky TS, Citartan M, Ahmed SA, Tang TH. Bacterial regulatory RNAs: complexity, function, and putative drug targeting. Crit Rev Biochem Mol Biol 2018; 53:335-355. [PMID: 29793351 DOI: 10.1080/10409238.2018.1473330] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Over the past decade, RNA-deep sequencing has uncovered copious non-protein coding RNAs (npcRNAs) in bacteria. Many of them are key players in the regulation of gene expression, taking part in various regulatory circuits, such as metabolic responses to different environmental stresses, virulence, antibiotic resistance, and host-pathogen interactions. This has contributed to the high adaptability of bacteria to changing or even hostile environments. Their mechanisms include the regulation of transcriptional termination, modulation of translation, and alteration of messenger RNA (mRNA) stability, as well as protein sequestration. Here, the mechanisms of gene expression by regulatory bacterial npcRNAs are comprehensively reviewed and supplemented with well-characterized examples. This class of molecules and their mechanisms of action might be useful targets for the development of novel antibiotics.
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Affiliation(s)
- Hong-Leong Cheah
- a Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia , Kepala Batas , Malaysia
| | - Carsten A Raabe
- b Institute of Experimental Pathology, Centre for Molecular Biology of Inflammation , University of Münster , Münster , Germany.,c Brandenburg Medical School (MHB) , Neuruppin , Germany.,d Institute of Medical Biochemistry, Centre for Molecular Biology of Inflammation , University of Münster , Münster , Germany
| | - Li-Pin Lee
- a Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia , Kepala Batas , Malaysia
| | - Timofey S Rozhdestvensky
- e Medical Faculty, Transgenic Mouse and Genome Engineering Model Core Facility (TRAM) , University of Münster , Münster , Germany
| | - Marimuthu Citartan
- a Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia , Kepala Batas , Malaysia
| | - Siti Aminah Ahmed
- a Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia , Kepala Batas , Malaysia
| | - Thean-Hock Tang
- a Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia , Kepala Batas , Malaysia
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27
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Didychuk AL, Butcher SE, Brow DA. The life of U6 small nuclear RNA, from cradle to grave. RNA (NEW YORK, N.Y.) 2018; 24:437-460. [PMID: 29367453 PMCID: PMC5855946 DOI: 10.1261/rna.065136.117] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Removal of introns from precursor messenger RNA (pre-mRNA) and some noncoding transcripts is an essential step in eukaryotic gene expression. In the nucleus, this process of RNA splicing is carried out by the spliceosome, a multi-megaDalton macromolecular machine whose core components are conserved from yeast to humans. In addition to many proteins, the spliceosome contains five uridine-rich small nuclear RNAs (snRNAs) that undergo an elaborate series of conformational changes to correctly recognize the splice sites and catalyze intron removal. Decades of biochemical and genetic data, along with recent cryo-EM structures, unequivocally demonstrate that U6 snRNA forms much of the catalytic core of the spliceosome and is highly dynamic, interacting with three snRNAs, the pre-mRNA substrate, and >25 protein partners throughout the splicing cycle. This review summarizes the current state of knowledge on how U6 snRNA is synthesized, modified, incorporated into snRNPs and spliceosomes, recycled, and degraded.
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Affiliation(s)
- Allison L Didychuk
- Department of Biochemistry, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - Samuel E Butcher
- Department of Biochemistry, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - David A Brow
- Department of Biomolecular Chemistry, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin 53706, USA
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28
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Boivin V, Deschamps-Francoeur G, Scott MS. Protein coding genes as hosts for noncoding RNA expression. Semin Cell Dev Biol 2017; 75:3-12. [PMID: 28811264 DOI: 10.1016/j.semcdb.2017.08.016] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 08/02/2017] [Accepted: 08/03/2017] [Indexed: 12/17/2022]
Abstract
With the emergence of high-throughput sequence characterization methods and the subsequent improvements in gene annotations, it is becoming increasingly clear that a large proportion of eukaryotic protein-coding genes (as many as 50% in human) serve as host genes for non-coding RNA genes. Amongst the most extensively characterized embedded non-coding RNA genes, small nucleolar RNAs and microRNAs represent abundant families. Encoded individually or clustered, in sense or antisense orientation with respect to their host and independently expressed or dependent on host expression, the genomic characteristics of embedded genes determine their biogenesis and the extent of their relationship with their host gene. Not only can host genes and the embedded genes they harbour be co-regulated and mutually modulate each other, many are functionally coupled playing a role in the same cellular pathways. And while host-non-coding RNA relationships can be highly conserved, mechanisms have been identified, and in particular an association with transposable elements, allowing the appearance of copies of non-coding genes nested in host genes, or the migration of embedded genes from one host gene to another. The study of embedded non-coding genes and their relationship with their host genes increases the complexity of cellular networks and provides important new regulatory links that are essential to properly understand cell function.
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Affiliation(s)
- Vincent Boivin
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Gabrielle Deschamps-Francoeur
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Michelle S Scott
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada.
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29
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Henras AK, Plisson-Chastang C, Humbert O, Romeo Y, Henry Y. Synthesis, Function, and Heterogeneity of snoRNA-Guided Posttranscriptional Nucleoside Modifications in Eukaryotic Ribosomal RNAs. Enzymes 2017; 41:169-213. [PMID: 28601222 DOI: 10.1016/bs.enz.2017.03.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Ribosomal RNAs contain numerous 2'-O-methylated nucleosides and pseudouridines. Methylation of the 2' oxygen of ribose moieties and isomerization of uridines into pseudouridines are catalyzed by C/D and H/ACA small nucleolar ribonucleoprotein particles, respectively. We review the composition, structure, and mode of action of archaeal and eukaryotic C/D and H/ACA particles. Most rRNA modifications cluster in functionally crucial regions of the rRNAs, suggesting they play important roles in translation. Some of these modifications promote global translation efficiency or modulate translation fidelity. Strikingly, recent quantitative nucleoside modification profiling methods have revealed that a subset of modification sites is not always fully modified. The finding of such ribosome heterogeneity is in line with the concept of specialized ribosomes that could preferentially translate specific mRNAs. This emerging concept is supported by findings that some human diseases are caused by defects in the rRNA modification machinery correlated with a significant alteration of IRES-dependent translation.
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Affiliation(s)
- Anthony K Henras
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France.
| | - Célia Plisson-Chastang
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Odile Humbert
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Yves Romeo
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Yves Henry
- Laboratoire de Biologie Moléculaire Eucaryote, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France.
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30
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Abstract
Pseudouridine (Ψ) is the most abundant posttranscriptional modification in noncoding RNAs. Pseudouridines are often clustered in important regions of rRNAs (ribosomal RNAs), snRNAs (small nuclear RNAs), and tRNAs (transfer RNAs), contributing to RNA function. Pseudouridylation is governed by two independent mechanisms. The first involves single protein enzymes called pseudouridine synthases (PUSs) that alone recognize the substrate and catalyze the isomerization of uridine to pseudouridine (RNA-independent pseudouridylation). The second is an RNA-guided pseudouridylation by a family of box H/ACA RNPs (ribonucleoproteins), each of which consists of a unique RNA (box H/ACA RNA) and four common core proteins (Cbf5/NAP57/Dyskerin, Nhp2/L7Ae, Nop10, and Gar1). The RNA component serves as a guide that base pairs with the substrate RNA and directs the enzyme (Cbf5) to carry out the pseudouridylation reaction at a specific site. The crystal structures of many PUSs have been solved in numerous organisms including E. coli and human. Several partial and complete crystal structures of archaea and yeast box H/ACA RNPs are available, providing a rich source of information regarding the molecular interactions between protein components and box H/ACA RNA. Over the years, several experimental systems have been developed to study the mechanism and function of pseudouridylation. Apart from noncoding RNA pseudouridylation, recent experiments have provided evidence of mRNA pseudouridylation as well. Despite remarkable progress, there is a need to accelerate efforts in order to understand the detailed mechanisms and functions of RNA pseudouridylation.
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Affiliation(s)
- Meemanage D De Zoysa
- University of Rochester Medical Center, Center for RNA Biology, Rochester, NY, United States
| | - Yi-Tao Yu
- University of Rochester Medical Center, Center for RNA Biology, Rochester, NY, United States.
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31
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Steinbusch MMF, Fang Y, Milner PI, Clegg PD, Young DA, Welting TJM, Peffers MJ. Serum snoRNAs as biomarkers for joint ageing and post traumatic osteoarthritis. Sci Rep 2017; 7:43558. [PMID: 28252005 PMCID: PMC5333149 DOI: 10.1038/srep43558] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 01/25/2017] [Indexed: 01/29/2023] Open
Abstract
The development of effective treatments for the age-related disease osteoarthritis and the ability to predict disease progression has been hampered by the lack of biomarkers able to demonstrate the course of the disease. Profiling the expression patterns of small nucleolar RNAs (snoRNAs) in joint ageing and OA may provide diagnostic biomarkers and therapeutic targets. This study determined expression patterns of snoRNAs in joint ageing and OA and examined them as potential biomarkers. Using SnoRNASeq and real-time quantitative PCR (qRT-PCR) we demonstrate snoRNA expression levels in murine ageing and OA joints and serum for the first time. SnoRNASeq identified differential expression (DE) of 6 snoRNAs in young versus old joints and 5 snoRNAs in old sham versus old experimental osteoarthritic joints. In serum we found differential presence of 27 snoRNAs in young versus old serum and 18 snoRNAs in old sham versus old experimental osteoarthritic serum. Confirmatory qRT-PCR analysis demonstrated good correlation with SnoRNASeq findings. Profiling the expression patterns of snoRNAs is the initial step in determining their functional significance in ageing and osteoarthritis, and provides potential diagnostic biomarkers and therapeutic targets. Our results establish snoRNAs as novel markers of musculoskeletal ageing and osteoarthritis.
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Affiliation(s)
- Mandy M F Steinbusch
- Department of Orthopedic Surgery, Caphri School for Public Health and Primary Care, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Yongxiang Fang
- Centre for Genomic Research, Institute of Integrative Biology, Biosciences Building, Crown Street, University of Liverpool, Liverpool L69 7ZB, UK
| | - Peter I Milner
- Institute of Ageing and Chronic Disease, University of Liverpool, Apex Building, 6 West Derby Street, Liverpool, L7 9TX, UK
| | - Peter D Clegg
- Institute of Ageing and Chronic Disease, University of Liverpool, Apex Building, 6 West Derby Street, Liverpool, L7 9TX, UK
| | - David A Young
- Musculoskeletal Research Group, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Tim J M Welting
- Department of Orthopedic Surgery, Caphri School for Public Health and Primary Care, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Mandy J Peffers
- Institute of Ageing and Chronic Disease, University of Liverpool, Apex Building, 6 West Derby Street, Liverpool, L7 9TX, UK
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DNApi: A De Novo Adapter Prediction Algorithm for Small RNA Sequencing Data. PLoS One 2016; 11:e0164228. [PMID: 27736901 PMCID: PMC5063419 DOI: 10.1371/journal.pone.0164228] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Accepted: 09/21/2016] [Indexed: 01/05/2023] Open
Abstract
With the rapid accumulation of publicly available small RNA sequencing datasets, third-party meta-analysis across many datasets is becoming increasingly powerful. Although removing the 3´ adapter is an essential step for small RNA sequencing analysis, the adapter sequence information is not always available in the metadata. The information can be also erroneous even when it is available. In this study, we developed DNApi, a lightweight Python software package that predicts the 3´ adapter sequence de novo and provides the user with cleansed small RNA sequences ready for down stream analysis. Tested on 539 publicly available small RNA libraries accompanied with 3´ adapter sequences in their metadata, DNApi shows near-perfect accuracy (98.5%) with fast runtime (~2.85 seconds per library) and efficient memory usage (~43 MB on average). In addition to 3´ adapter prediction, it is also important to classify whether the input small RNA libraries were already processed, i.e. the 3´ adapters were removed. DNApi perfectly judged that given another batch of datasets, 192 publicly available processed libraries were “ready-to-map” small RNA sequence. DNApi is compatible with Python 2 and 3, and is available at https://github.com/jnktsj/DNApi. The 731 small RNA libraries used for DNApi evaluation were from human tissues and were carefully and manually collected. This study also provides readers with the curated datasets that can be integrated into their studies.
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Retinal expression of small non-coding RNAs in a murine model of proliferative retinopathy. Sci Rep 2016; 6:33947. [PMID: 27653551 PMCID: PMC5032015 DOI: 10.1038/srep33947] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 08/31/2016] [Indexed: 12/11/2022] Open
Abstract
Ocular neovascularization is a leading cause of blindness in proliferative retinopathy. Small non-coding RNAs (sncRNAs) play critical roles in both vascular and neuronal development of the retina through post-transcriptional regulation of target gene expression. To identify the function and therapeutic potential of sncRNAs in retinopathy, we assessed the expression profile of retinal sncRNAs in a mouse model of oxygen-induced retinopathy (OIR) with pathologic proliferation of neovessels. Approximately 2% of all analyzed sncRNAs were significantly altered in OIR retinas compared with normoxic controls. Twenty three microRNAs with substantial up- or down-regulation were identified, including miR-351, -762, -210, 145, -155, -129-5p, -150, -203, and -375, which were further analyzed for their potential target genes in angiogenic, hypoxic, and immune response-related pathways. In addition, nineteen small nucleolar RNAs also revealed differential expression in OIR retinas compared with control retinas. A decrease of overall microRNA expression in OIR retinas was consistent with reduced microRNA processing enzyme Dicer, and increased expression of Alu element in OIR. Together, our findings elucidated a group of differentially expressed sncRNAs in a murine model of proliferative retinopathy. These sncRNAs may exert critical post-transcriptional regulatory roles in regulating pathological neovascularization in eye diseases.
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Krogh N, Jansson MD, Häfner SJ, Tehler D, Birkedal U, Christensen-Dalsgaard M, Lund AH, Nielsen H. Profiling of 2'-O-Me in human rRNA reveals a subset of fractionally modified positions and provides evidence for ribosome heterogeneity. Nucleic Acids Res 2016; 44:7884-95. [PMID: 27257078 PMCID: PMC5027482 DOI: 10.1093/nar/gkw482] [Citation(s) in RCA: 173] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Revised: 05/16/2016] [Accepted: 05/19/2016] [Indexed: 01/05/2023] Open
Abstract
Ribose methylation is one of the two most abundant modifications in human ribosomal RNA and is believed to be important for ribosome biogenesis, mRNA selectivity and translational fidelity. We have applied RiboMeth-seq to rRNA from HeLa cells for ribosome-wide, quantitative mapping of 2'-O-Me sites and obtained a comprehensive set of 106 sites, including two novel sites, and with plausible box C/D guide RNAs assigned to all but three sites. We find approximately two-thirds of the sites to be fully methylated and the remainder to be fractionally modified in support of ribosome heterogeneity at the level of RNA modifications. A comparison to HCT116 cells reveals similar 2'-O-Me profiles with distinct differences at several sites. This study constitutes the first comprehensive mapping of 2'-O-Me sites in human rRNA using a high throughput sequencing approach. It establishes the existence of a core of constitutively methylated positions and a subset of variable, potentially regulatory positions, and paves the way for experimental analyses of the role of variations in rRNA methylation under different physiological or pathological settings.
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Affiliation(s)
- Nicolai Krogh
- Department of Cellular and Molecular Medicine, University of Copenhagen, DK-2200N, Denmark
| | - Martin D Jansson
- Biotech Research and Innovation Centre, University of Copenhagen, DK-2200N, Denmark
| | - Sophia J Häfner
- Biotech Research and Innovation Centre, University of Copenhagen, DK-2200N, Denmark
| | - Disa Tehler
- Biotech Research and Innovation Centre, University of Copenhagen, DK-2200N, Denmark
| | - Ulf Birkedal
- Department of Cellular and Molecular Medicine, University of Copenhagen, DK-2200N, Denmark
| | | | - Anders H Lund
- Biotech Research and Innovation Centre, University of Copenhagen, DK-2200N, Denmark
| | - Henrik Nielsen
- Department of Cellular and Molecular Medicine, University of Copenhagen, DK-2200N, Denmark
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Zaringhalam M, Papavasiliou FN. Pseudouridylation meets next-generation sequencing. Methods 2016; 107:63-72. [DOI: 10.1016/j.ymeth.2016.03.001] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 03/05/2016] [Accepted: 03/07/2016] [Indexed: 11/15/2022] Open
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Wu G, Radwan MK, Xiao M, Adachi H, Fan J, Yu YT. The TOR signaling pathway regulates starvation-induced pseudouridylation of yeast U2 snRNA. RNA (NEW YORK, N.Y.) 2016; 22:1146-52. [PMID: 27268497 PMCID: PMC4931107 DOI: 10.1261/rna.056796.116] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 05/05/2016] [Indexed: 05/28/2023]
Abstract
Pseudouridine (Ψ) has been identified in various types of RNAs, including mRNA, rRNA, tRNA, snRNA, and many other noncoding RNAs. We have previously shown that RNA pseudouridylation, like DNA and protein modifications, can be induced by stress. For instance, growing yeast cells to saturation induces the formation of Ψ93 in U2 snRNA. Here, we further investigate this inducible RNA modification. We show that switching yeast cells from nutrient-rich medium to different nutrient-deprived media (including water) results in the formation of Ψ93 in U2 snRNA. Using gene deletion/conditional depletion as well as rapamycin treatment, we further show that the TOR signaling pathway, which controls cell entry into stationary phase, regulates Ψ93 formation. The RAS/cAMP signaling pathway, which parallels the TOR pathway, plays no role in this inducible modification.
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Affiliation(s)
- Guowei Wu
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, New York 14642, USA
| | - Mohamed K Radwan
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, New York 14642, USA
| | - Mu Xiao
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, New York 14642, USA
| | - Hironori Adachi
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, New York 14642, USA
| | - Jason Fan
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, New York 14642, USA
| | - Yi-Tao Yu
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, New York 14642, USA
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Hoernes TP, Erlacher MD. Translating the epitranscriptome. WILEY INTERDISCIPLINARY REVIEWS-RNA 2016; 8. [PMID: 27345446 PMCID: PMC5215311 DOI: 10.1002/wrna.1375] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 05/25/2016] [Accepted: 05/31/2016] [Indexed: 12/14/2022]
Abstract
RNA modifications are indispensable for the translation machinery to provide accurate and efficient protein synthesis. Whereas the importance of transfer RNA (tRNA) and ribosomal RNA (rRNA) modifications has been well described and is unquestioned for decades, the significance of internal messenger RNA (mRNA) modifications has only recently been revealed. Novel experimental methods have enabled the identification of thousands of modified sites within the untranslated and translated regions of mRNAs. Thus far, N6‐methyladenosine (m6A), pseudouridine (Ψ), 5‐methylcytosine (m5C) and N1‐methyladenosine (m1A) were identified in eukaryal, and to some extent in prokaryal mRNAs. Several of the functions of these mRNA modifications have previously been reported, but many aspects remain elusive. Modifications can be important factors for the direct regulation of protein synthesis. The potential diversification of genomic information and regulation of RNA expression through editing and modifying mRNAs is versatile and many questions need to be addressed to completely elucidate the role of mRNA modifications. Herein, we summarize and highlight some recent findings on various co‐ and post‐transcriptional modifications, describing the impact of these processes on gene expression, with emphasis on protein synthesis. WIREs RNA 2017, 8:e1375. doi: 10.1002/wrna.1375 For further resources related to this article, please visit the WIREs website.
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Affiliation(s)
- Thomas Philipp Hoernes
- Division of Genomics and RNomics, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Matthias David Erlacher
- Division of Genomics and RNomics, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
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38
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Ono M, Yamada K, Bensaddek D, Afzal V, Biddlestone J, Ortmann B, Mudie S, Boivin V, Scott MS, Rocha S, Lamond AI. Enhanced snoMEN Vectors Facilitate Establishment of GFP-HIF-1α Protein Replacement Human Cell Lines. PLoS One 2016; 11:e0154759. [PMID: 27128805 PMCID: PMC4851398 DOI: 10.1371/journal.pone.0154759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 04/19/2016] [Indexed: 11/18/2022] Open
Abstract
The snoMEN (snoRNA Modulator of gene ExpressioN) vector technology was developed from a human box C/D snoRNA, HBII-180C, which contains an internal sequence that can be manipulated to make it complementary to RNA targets, allowing knock-down of targeted genes. Here we have screened additional human nucleolar snoRNAs and assessed their application for gene specific knock-downs to improve the efficiency of snoMEN vectors. We identify and characterise a new snoMEN vector, termed 47snoMEN, that is derived from box C/D snoRNA U47, demonstrating its use for knock-down of both endogenous cellular proteins and G/YFP-fusion proteins. Using multiplex 47snoMEM vectors that co-express multiple 47snoMEN in a single transcript, each of which can target different sites in the same mRNA, we document >3-fold increase in knock-down efficiency when compared with the original HBII-180C based snoMEN. The multiplex 47snoMEM vector allowed the construction of human protein replacement cell lines with improved efficiency, including the establishment of novel GFP–HIF-1α replacement cells. Quantitative mass spectrometry analysis confirmed the enhanced efficiency and specificity of protein replacement using the 47snoMEN-PR vectors. The 47snoMEN vectors expand the potential applications for snoMEN technology in gene expression studies, target validation and gene therapy.
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Affiliation(s)
- Motoharu Ono
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Kayo Yamada
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Dalila Bensaddek
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Vackar Afzal
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - John Biddlestone
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Brian Ortmann
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Sharon Mudie
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Vincent Boivin
- Department of Biochemistry and RNA Group, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Canada
| | - Michelle S. Scott
- Department of Biochemistry and RNA Group, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Canada
| | - Sonia Rocha
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Angus I. Lamond
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
- * E-mail:
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Tani H, Takeshita JI, Aoki H, Abe R, Toyoda A, Endo Y, Miyamoto S, Gamo M, Torimura M. Genome-wide gene expression analysis of mouse embryonic stem cells exposed to p-dichlorobenzene. J Biosci Bioeng 2016; 122:329-33. [PMID: 26975756 DOI: 10.1016/j.jbiosc.2016.02.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Revised: 12/22/2015] [Accepted: 02/12/2016] [Indexed: 12/15/2022]
Abstract
Because of the limitations of whole animal testing approaches for toxicological assessment, new cell-based assay systems have been widely studied. In this study, we focused on two biological products for toxicological assessment: mouse embryonic stem cells (mESCs) and long noncoding RNAs (lncRNAs). mESCs possess the abilities of self-renewal and differentiation into multiple cell types. LlncRNAs are an important class of pervasive non-protein-coding transcripts involved in the molecular mechanisms associated with responses to chemicals. We exposed mESCs to p-dichlorobenzene (p-DCB) for 1 or 28 days (daily dose), extracted total RNA, and performed deep sequencing analyses. The genome-wide gene expression analysis indicated that mechanisms modulating proteins occurred following acute and chronic exposures, and mechanisms modulating genomic DNA occurred following chronic exposure. Moreover, our results indicate that three novel lncRNAs (Snora41, Gm19947, and Scarna3a) in mESCs respond to p-DCB exposure. We propose that these lncRNAs have the potential to be surrogate indicators of p-DCB responses in mESCs.
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Affiliation(s)
- Hidenori Tani
- Environmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki 305-8569, Japan.
| | - Jun-Ichi Takeshita
- Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki 305-8569, Japan
| | - Hiroshi Aoki
- Environmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki 305-8569, Japan
| | - Ryosuke Abe
- College of Engineering Systems, School of Science and Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
| | - Akinobu Toyoda
- College of Engineering Systems, School of Science and Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
| | - Yasunori Endo
- Department of Risk Engineering, Faculty of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
| | - Sadaaki Miyamoto
- Department of Risk Engineering, Faculty of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
| | - Masashi Gamo
- Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki 305-8569, Japan
| | - Masaki Torimura
- Environmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki 305-8569, Japan
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Dual function of C/D box small nucleolar RNAs in rRNA modification and alternative pre-mRNA splicing. Proc Natl Acad Sci U S A 2016; 113:E1625-34. [PMID: 26957605 DOI: 10.1073/pnas.1519292113] [Citation(s) in RCA: 150] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
C/D box small nucleolar RNAs (SNORDs) are small noncoding RNAs, and their best-understood function is to target the methyltransferase fibrillarin to rRNA (for example, SNORD27 performs 2'-O-methylation of A27 in 18S rRNA). Unexpectedly, we found a subset of SNORDs, including SNORD27, in soluble nuclear extract made under native conditions, where fibrillarin was not detected, indicating that a fraction of the SNORD27 RNA likely forms a protein complex different from canonical snoRNAs found in the insoluble nuclear fraction. As part of this previously unidentified complex,SNORD27 regulates the alternative splicing of the transcription factor E2F7p re-mRNA through direct RNA-RNA interaction without methylating the RNA, likely by competing with U1 small nuclear ribonucleoprotein (snRNP). Furthermore, knockdown of SNORD27 activates previously "silent" exons in several other genes through base complementarity across the entire SNORD27 sequence, not just the antisense boxes. Thus, some SNORDs likely function in both rRNA and pre-mRNA processing, which increases the repertoire of splicing regulators and links both processes.
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41
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Hoernes TP, Clementi N, Faserl K, Glasner H, Breuker K, Lindner H, Hüttenhofer A, Erlacher MD. Nucleotide modifications within bacterial messenger RNAs regulate their translation and are able to rewire the genetic code. Nucleic Acids Res 2015; 44:852-62. [PMID: 26578598 PMCID: PMC4737146 DOI: 10.1093/nar/gkv1182] [Citation(s) in RCA: 119] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Accepted: 10/22/2015] [Indexed: 01/05/2023] Open
Abstract
Nucleotide modifications within RNA transcripts are found in every organism in all three domains of life. 6-methyladeonsine (m6A), 5-methylcytosine (m5C) and pseudouridine (Ψ) are highly abundant nucleotide modifications in coding sequences of eukaryal mRNAs, while m5C and m6A modifications have also been discovered in archaeal and bacterial mRNAs. Employing in vitro translation assays, we systematically investigated the influence of nucleotide modifications on translation. We introduced m5C, m6A, Ψ or 2′-O-methylated nucleotides at each of the three positions within a codon of the bacterial ErmCL mRNA and analyzed their influence on translation. Depending on the respective nucleotide modification, as well as its position within a codon, protein synthesis remained either unaffected or was prematurely terminated at the modification site, resulting in reduced amounts of the full-length peptide. In the latter case, toeprint analysis of ribosomal complexes was consistent with stalling of translation at the modified codon. When multiple nucleotide modifications were introduced within one codon, an additive inhibitory effect on translation was observed. We also identified the m5C modification to alter the amino acid identity of the corresponding codon, when positioned at the second codon position. Our results suggest a novel mode of gene regulation by nucleotide modifications in bacterial mRNAs.
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Affiliation(s)
- Thomas Philipp Hoernes
- Division of Genomics and RNomics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Nina Clementi
- Division of Genomics and RNomics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Klaus Faserl
- Division of Clinical Biochemistry, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Heidelinde Glasner
- Institute of Organic Chemistry and Center for Molecular Biosciences (CMBI), University of Innsbruck, 6020 Innsbruck, Austria
| | - Kathrin Breuker
- Institute of Organic Chemistry and Center for Molecular Biosciences (CMBI), University of Innsbruck, 6020 Innsbruck, Austria
| | - Herbert Lindner
- Division of Clinical Biochemistry, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Alexander Hüttenhofer
- Division of Genomics and RNomics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Matthias David Erlacher
- Division of Genomics and RNomics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
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Karijolich J, Yi C, Yu YT. Transcriptome-wide dynamics of RNA pseudouridylation. Nat Rev Mol Cell Biol 2015; 16:581-5. [PMID: 26285676 DOI: 10.1038/nrm4040] [Citation(s) in RCA: 107] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Pseudouridylation is the most abundant internal post-transcriptional modification of stable RNAs, with fundamental roles in the biogenesis and function of spliceosomal small nuclear RNAs (snRNAs) and ribosomal RNAs (rRNAs). Recently, the first transcriptome-wide maps of RNA pseudouridylation were published, greatly expanding the catalogue of known pseudouridylated RNAs. These data have further implicated RNA pseudouridylation in the cellular stress response and, moreover, have established that mRNAs are also targets of pseudouridine synthases, potentially representing a novel mechanism for expanding the complexity of the cellular proteome.
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Affiliation(s)
- John Karijolich
- Department of Plant and Microbial Biology, University of California, 565 Li Ka Shing Center #3370, Berkeley, California 94720-337, USA
| | - Chengqi Yi
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Synthetic and Functional Biomolecules Center and Peking-Tsinghua Center for Life Sciences, Peking University, 5 Summer Palace Road, Haidian District, Beijing 100871, China
| | - Yi-Tao Yu
- Department of Biochemistry and Biophysics, University of Rochester Medical Center, School of Medicine and Dentistry, 601 Elmwood Avenue, Box 712 Rochester, New York 14642, USA
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43
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Regulatory role of small nucleolar RNAs in human diseases. BIOMED RESEARCH INTERNATIONAL 2015; 2015:206849. [PMID: 26060813 PMCID: PMC4427830 DOI: 10.1155/2015/206849] [Citation(s) in RCA: 107] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Accepted: 04/08/2015] [Indexed: 12/29/2022]
Abstract
Small nucleolar RNAs (snoRNAs) are appreciable players in gene expression regulation in human cells. The canonical function of box C/D and box H/ACA snoRNAs is posttranscriptional modification of ribosomal RNAs (rRNAs), namely, 2'-O-methylation and pseudouridylation, respectively. A series of independent studies demonstrated that snoRNAs, as well as other noncoding RNAs, serve as the source of various short regulatory RNAs. Some snoRNAs and their fragments can also participate in the regulation of alternative splicing and posttranscriptional modification of mRNA. Alterations in snoRNA expression in human cells can affect numerous vital cellular processes. SnoRNA level in human cells, blood serum, and plasma presents a promising target for diagnostics and treatment of human pathologies. Here we discuss the relation between snoRNAs and oncological, neurodegenerative, and viral diseases and also describe changes in snoRNA level in response to artificial stress and some drugs.
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44
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Dupuis-Sandoval F, Poirier M, Scott MS. The emerging landscape of small nucleolar RNAs in cell biology. WILEY INTERDISCIPLINARY REVIEWS-RNA 2015; 6:381-97. [PMID: 25879954 PMCID: PMC4696412 DOI: 10.1002/wrna.1284] [Citation(s) in RCA: 162] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Revised: 03/18/2015] [Accepted: 03/20/2015] [Indexed: 01/07/2023]
Abstract
Small nucleolar RNAs (snoRNAs) are a large class of small noncoding RNAs present in all eukaryotes sequenced thus far. As a family, they have been well characterized as playing a central role in ribosome biogenesis, guiding either the sequence-specific chemical modification of pre-rRNA (ribosomal RNA) or its processing. However, in higher eukaryotes, numerous orphan snoRNAs were described over a decade ago, with no known target or ascribed function, suggesting the possibility of alternative cellular functionality. In recent years, thanks in great part to advances in sequencing methodologies, we have seen many examples of the diversity that exists in the snoRNA family on multiple levels. In this review, we discuss the identification of novel snoRNA members, of unexpected binding partners, as well as the clarification and extension of the snoRNA target space and the characterization of diverse new noncanonical functions, painting a new and extended picture of the snoRNA landscape. Under the deluge of novel features and functions that have recently come to light, snoRNAs emerge as a central, dynamic, and highly versatile group of small regulatory RNAs. WIREs RNA 2015, 6:381–397. doi: 10.1002/wrna.1284
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Affiliation(s)
- Fabien Dupuis-Sandoval
- Biochemistry Department, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Canada
| | - Mikaël Poirier
- Biochemistry Department, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Canada
| | - Michelle S Scott
- Biochemistry Department and RNA Group, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Canada
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Abstract
The revolution of miRNA discovery, in the early 2000s, shed a new light in the exciting field of small non-coding RNAs. Since then, and owing to outstanding breakthroughs in RNomic techniques, novel small non-coding RNA families have been regularly discovered, e.g., piRNAs, tiRNAs, and many others.In this review, we provide a very succinct historical and functional overview on most prominent small non-coding RNA families.
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Affiliation(s)
- Guillaume Clerget
- Université de Lorraine, CNRS UMR 7365, IMoPA, 9 avenue de la Forêt de Haye, Vandoeuvre-lès-Nancy, 54506, France
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46
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Gstir R, Schafferer S, Scheideler M, Misslinger M, Griehl M, Daschil N, Humpel C, Obermair GJ, Schmuckermair C, Striessnig J, Flucher BE, Hüttenhofer A. Generation of a neuro-specific microarray reveals novel differentially expressed noncoding RNAs in mouse models for neurodegenerative diseases. RNA (NEW YORK, N.Y.) 2014; 20:1929-43. [PMID: 25344396 PMCID: PMC4238357 DOI: 10.1261/rna.047225.114] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 08/27/2014] [Indexed: 05/24/2023]
Abstract
We have generated a novel, neuro-specific ncRNA microarray, covering 1472 ncRNA species, to investigate their expression in different mouse models for central nervous system diseases. Thereby, we analyzed ncRNA expression in two mouse models with impaired calcium channel activity, implicated in Epilepsy or Parkinson's disease, respectively, as well as in a mouse model mimicking pathophysiological aspects of Alzheimer's disease. We identified well over a hundred differentially expressed ncRNAs, either from known classes of ncRNAs, such as miRNAs or snoRNAs or which represented entirely novel ncRNA species. Several differentially expressed ncRNAs in the calcium channel mouse models were assigned as miRNAs and target genes involved in calcium signaling, thus suggesting feedback regulation of miRNAs by calcium signaling. In the Alzheimer mouse model, we identified two snoRNAs, whose expression was deregulated prior to amyloid plaque formation. Interestingly, the presence of snoRNAs could be detected in cerebral spine fluid samples in humans, thus potentially serving as early diagnostic markers for Alzheimer's disease. In addition to known ncRNAs species, we also identified 63 differentially expressed, entirely novel ncRNA candidates, located in intronic or intergenic regions of the mouse genome, genomic locations, which previously have been shown to harbor the majority of functional ncRNAs.
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Affiliation(s)
- Ronald Gstir
- Division of Genomics and RNomics, Innsbruck Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Simon Schafferer
- Division of Genomics and RNomics, Innsbruck Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Marcel Scheideler
- RNA Biology Group, Institute for Genomics and Bioinformatics, Graz University of Technology, 8010 Graz, Austria
| | - Matthias Misslinger
- Division of Genomics and RNomics, Innsbruck Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Matthias Griehl
- Division of Genomics and RNomics, Innsbruck Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Nina Daschil
- Department of Psychiatry and Psychotherapy, University Clinic of General and Social Psychiatry, Innsbruck Medical University, 6020 Innsbruck, Austria
| | - Christian Humpel
- Department of Psychiatry and Psychotherapy, University Clinic of General and Social Psychiatry, Innsbruck Medical University, 6020 Innsbruck, Austria
| | - Gerald J Obermair
- Division of Physiology, Department of Physiology and Medical Physics, Innsbruck Medical University, 6020 Innsbruck, Austria
| | - Claudia Schmuckermair
- Pharmacology and Toxicology, Institute of Pharmacy, and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria
| | - Joerg Striessnig
- Pharmacology and Toxicology, Institute of Pharmacy, and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria
| | - Bernhard E Flucher
- Division of Physiology, Department of Physiology and Medical Physics, Innsbruck Medical University, 6020 Innsbruck, Austria
| | - Alexander Hüttenhofer
- Division of Genomics and RNomics, Innsbruck Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria
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47
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Adachi H, Yu YT. Insight into the mechanisms and functions of spliceosomal snRNA pseudouridylation. World J Biol Chem 2014; 5:398-408. [PMID: 25426264 PMCID: PMC4243145 DOI: 10.4331/wjbc.v5.i4.398] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Revised: 05/20/2014] [Accepted: 09/10/2014] [Indexed: 02/05/2023] Open
Abstract
Pseudouridines (Ψs) are the most abundant and highly conserved modified nucleotides found in various stable RNAs of all organisms. Most Ψs are clustered in regions that are functionally important for pre-mRNA splicing. Ψ has an extra hydrogen bond donor that endows RNA molecules with distinct properties that contribute significantly to RNA-mediated cellular processes. Experimental data indicate that spliceosomal snRNA pseudouridylation can be catalyzed by both RNA-dependent and RNA-independent mechanisms. Recent work has also demonstrated that pseudouridylation can be induced at novel positions under stress conditions, suggesting a regulatory role for Ψ.
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48
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Abstract
We have employed gene-trap insertional mutagenesis to identify candidate genes whose disruption confer phenotypic resistance to lytic infection, in independent studies using 12 distinct viruses and several different cell lines. Analysis of >2,000 virus-resistant clones revealed >1,000 candidate host genes, approximately 20 % of which were disrupted in clones surviving separate infections with 2–6 viruses. Interestingly, there were 83 instances in which the insertional mutagenesis vector disrupted transcripts encoding H/ACA-class and C/D-class small nucleolar RNAs (SNORAs and SNORDs, respectively). Of these, 79 SNORAs and SNORDs reside within introns of 29 genes (predominantly protein-coding), while 4 appear to be independent transcription units. siRNA studies targeting candidate SNORA/Ds provided independent confirmation of their roles in infection when tested against cowpox virus, Dengue Fever virus, influenza A virus, human rhinovirus 16, herpes simplex virus 2, or respiratory syncytial virus. Significantly, eight of the nine SNORA/Ds targeted with siRNAs enhanced cellular resistance to multiple viruses suggesting widespread involvement of SNORA/Ds in virus–host interactions and/or virus-induced cell death.
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49
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De Minicis S, Marzioni M, Benedetti A, Svegliati-Baroni G. New insights in hepatocellular carcinoma: from bench to bedside. ANNALS OF TRANSLATIONAL MEDICINE 2014; 1:15. [PMID: 25332959 DOI: 10.3978/j.issn.2305-5839.2013.01.06] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 12/11/2012] [Accepted: 01/31/2013] [Indexed: 01/10/2023]
Abstract
Hepatocarcinogenesis is a multistep process involving different genetic alterations that ultimately lead to malignant transformation of the hepatocyte. The liver is one of the main targets for different metastatic foci, but it represents an important and frequent locus of degeneration in the course of chronic disease. In fact, Hepatocellular carcinoma (HCC) represents the outcome of the natural history of chronic liver diseases, from the condition of fibrosis, to cirrhosis and finally to cancer. HCC is the sixth most common cancer in the world, some 630,000 new cases being diagnosed each year. Furthermore, about the 80% of people with HCC, have seen their clinical history developing from fibrosis, to cirrhosis and finally to cancer. The three main causes of HCC development are represented by HBV, HCV infection and alcoholism. Moreover, metabolic disease [starting from Non Alcoholic Fatty Liver Disease (NAFLD), Non Alcoholic Steatohepatitis (NASH)] and, with reduced frequency, some autoimmune disease may lead to HCC development. An additional rare cause of carcinogenetic degeneration of the liver, especially developed in African and Asian Countries, is represented by aflatoxin B1. The mechanisms by which these etiologic factors may induce HCC development involve a wide range of pathway and molecules, currently under investigation. In summary, the hepatocarcionogenesis results from a multifactorial process leading to the common condition of genetic changes in mature hepatocytes mainly characterized by uncontrolled proliferation and cell death. Advances in understanding the mechanism of action are fundamental for the development of new potential therapies and results primarily from the association of the research activities coming from basic and clinical science. This review article analyzes the current models used in basic research to investigate HCC activity, and the advances obtained from a basic and clinical point of view.
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Affiliation(s)
- Samuele De Minicis
- Department of Gastroenterology, Università Politecnica delle Marche, Ancona, Italy
| | - Marco Marzioni
- Department of Gastroenterology, Università Politecnica delle Marche, Ancona, Italy
| | - Antonio Benedetti
- Department of Gastroenterology, Università Politecnica delle Marche, Ancona, Italy
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50
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Deschamps-Francoeur G, Garneau D, Dupuis-Sandoval F, Roy A, Frappier M, Catala M, Couture S, Barbe-Marcoux M, Abou-Elela S, Scott MS. Identification of discrete classes of small nucleolar RNA featuring different ends and RNA binding protein dependency. Nucleic Acids Res 2014; 42:10073-85. [PMID: 25074380 PMCID: PMC4150776 DOI: 10.1093/nar/gku664] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Revised: 07/08/2014] [Accepted: 07/09/2014] [Indexed: 12/13/2022] Open
Abstract
Small nucleolar RNAs (snoRNAs) are among the first discovered and most extensively studied group of small non-coding RNA. However, most studies focused on a small subset of snoRNAs that guide the modification of ribosomal RNA. In this study, we annotated the expression pattern of all box C/D snoRNAs in normal and cancer cell lines independent of their functions. The results indicate that C/D snoRNAs are expressed as two distinct forms differing in their ends with respect to boxes C and D and in their terminal stem length. Both forms are overexpressed in cancer cell lines but display a conserved end distribution. Surprisingly, the long forms are more dependent than the short forms on the expression of the core snoRNP protein NOP58, thought to be essential for C/D snoRNA production. In contrast, a subset of short forms are dependent on the splicing factor RBFOX2. Analysis of the potential secondary structure of both forms indicates that the k-turn motif required for binding of NOP58 is less stable in short forms which are thus less likely to mature into a canonical snoRNP. Taken together the data suggest that C/D snoRNAs are divided into at least two groups with distinct maturation and functional preferences.
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Affiliation(s)
- Gabrielle Deschamps-Francoeur
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Daniel Garneau
- Laboratoire de génomique fonctionnelle de l'Université de Sherbrooke, Québec J1E 4K8, Canada Département de microbiologie et d'infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Fabien Dupuis-Sandoval
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Audrey Roy
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Marie Frappier
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Mathieu Catala
- Laboratoire de génomique fonctionnelle de l'Université de Sherbrooke, Québec J1E 4K8, Canada Département de microbiologie et d'infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Sonia Couture
- Laboratoire de génomique fonctionnelle de l'Université de Sherbrooke, Québec J1E 4K8, Canada Département de microbiologie et d'infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Mélissa Barbe-Marcoux
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Sherif Abou-Elela
- Laboratoire de génomique fonctionnelle de l'Université de Sherbrooke, Québec J1E 4K8, Canada Département de microbiologie et d'infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
| | - Michelle S Scott
- Département de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada
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