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Clark B, Kuwalekar M, Fischer B, Woltering J, Biran J, Juntti S, Kratochwil CF, Santos ME, Almeida MV. Genome editing in East African cichlids and tilapias: state-of-the-art and future directions. Open Biol 2023; 13:230257. [PMID: 38018094 PMCID: PMC10685126 DOI: 10.1098/rsob.230257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/27/2023] [Indexed: 11/30/2023] Open
Abstract
African cichlid fishes of the Cichlidae family are a group of teleosts important for aquaculture and research. A thriving research community is particularly interested in the cichlid radiations of the East African Great Lakes. One key goal is to pinpoint genetic variation underlying phenotypic diversification, but the lack of genetic tools has precluded thorough dissection of the genetic basis of relevant traits in cichlids. Genome editing technologies are well established in teleost models like zebrafish and medaka. However, this is not the case for emerging model organisms, such as East African cichlids, where these technologies remain inaccessible to most laboratories, due in part to limited exchange of knowledge and expertise. The Cichlid Science 2022 meeting (Cambridge, UK) hosted for the first time a Genome Editing Workshop, where the community discussed recent advances in genome editing, with an emphasis on CRISPR/Cas9 technologies. Based on the workshop findings and discussions, in this review we define the state-of-the-art of cichlid genome editing, share resources and protocols, and propose new possible avenues to further expand the cichlid genome editing toolkit.
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Affiliation(s)
- Bethan Clark
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Muktai Kuwalekar
- Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Uusimaa 00014, Finland
- Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Uusimaa 00014, Finland
| | - Bettina Fischer
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Joost Woltering
- Zoology and Evolutionary Biology, Department of Biology, University of Konstanz, Konstanz, Baden-Württemberg 78457, Germany
| | - Jakob Biran
- Department of Poultry and Aquaculture, Institute of Animal Sciences, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel
| | - Scott Juntti
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Claudius F. Kratochwil
- Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Uusimaa 00014, Finland
- Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Uusimaa 00014, Finland
| | | | - Miguel Vasconcelos Almeida
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- Wellcome/CRUK Gurdon Institute, University of Cambridge, Cambridge, UK
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2
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Lackner K, Sailer S, van Klinken JB, Wever E, Pras-Raves ML, Dane AD, Honsho M, Abe Y, Keller MA, Golderer G, Werner-Felmayer G, Fujiki Y, Vaz FM, Werner ER, Watschinger K. Alterations in ether lipid metabolism and the consequences for the mouse lipidome. Biochim Biophys Acta Mol Cell Biol Lipids 2023; 1868:159285. [PMID: 36690320 DOI: 10.1016/j.bbalip.2023.159285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/18/2022] [Accepted: 01/16/2023] [Indexed: 01/22/2023]
Abstract
Alkylglycerol monooxygenase (AGMO) and plasmanylethanolamine desaturase (PEDS1) are enzymes involved in ether lipid metabolism. While AGMO degrades plasmanyl lipids by oxidative cleavage of the ether bond, PEDS1 exclusively synthesizes a specific subclass of ether lipids, the plasmalogens, by introducing a vinyl ether double bond into plasmanylethanolamine phospholipids. Ether lipids are characterized by an ether linkage at the sn-1 position of the glycerol backbone and they are found in membranes of different cell types. Decreased plasmalogen levels have been associated with neurological diseases like Alzheimer's disease. Agmo-deficient mice do not present an obvious phenotype under unchallenged conditions. In contrast, Peds1 knockout mice display a growth phenotype. To investigate the molecular consequences of Agmo and Peds1 deficiency on the mouse lipidome, five tissues from each mouse model were isolated and subjected to high resolution mass spectrometry allowing the characterization of up to 2013 lipid species from 42 lipid subclasses. Agmo knockout mice moderately accumulated plasmanyl and plasmenyl lipid species. Peds1-deficient mice manifested striking changes characterized by a strong reduction of plasmenyl lipids and a concomitant massive accumulation of plasmanyl lipids resulting in increased total ether lipid levels in the analyzed tissues except for the class of phosphatidylethanolamines where total levels remained remarkably constant also in Peds1 knockout mice. The rate-limiting enzyme in ether lipid metabolism, FAR1, was not upregulated in Peds1-deficient mice, indicating that the selective loss of plasmalogens is not sufficient to activate the feedback mechanism observed in total ether lipid deficiency.
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Affiliation(s)
- Katharina Lackner
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innrain 80, 6020 Innsbruck, Austria.
| | - Sabrina Sailer
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innrain 80, 6020 Innsbruck, Austria; Institute of Human Genetics, Medical University of Innsbruck, Peter-Mayr-Strasse 1, 6020 Innsbruck, Austria.
| | - Jan-Bert van Klinken
- Amsterdam UMC location University of Amsterdam, Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children's Hospital, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands; Core Facility Metabolomics, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands; Department of Human Genetics, Leiden University Medical Center (LUMC), Einthovenweg 20, Leiden, 2333, ZC, the Netherlands.
| | - Eric Wever
- Amsterdam UMC location University of Amsterdam, Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children's Hospital, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands; Core Facility Metabolomics, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands; Bioinformatics Laboratory, Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands.
| | - Mia L Pras-Raves
- Amsterdam UMC location University of Amsterdam, Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children's Hospital, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands; Core Facility Metabolomics, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands; Bioinformatics Laboratory, Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands.
| | - Adrie D Dane
- Amsterdam UMC location University of Amsterdam, Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children's Hospital, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands; Bioinformatics Laboratory, Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands.
| | - Masanori Honsho
- Department of Neuroinflammation and Brain Fatigue Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Fukuoka 812-8582, Japan.
| | - Yuichi Abe
- Faculty of Arts and Science, Kyushu University, 744 Motooka, Fukuoka 819-0395, Japan.
| | - Markus A Keller
- Institute of Human Genetics, Medical University of Innsbruck, Peter-Mayr-Strasse 1, 6020 Innsbruck, Austria.
| | - Georg Golderer
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innrain 80, 6020 Innsbruck, Austria.
| | - Gabriele Werner-Felmayer
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innrain 80, 6020 Innsbruck, Austria.
| | - Yukio Fujiki
- Institute of Rheological Functions of Food, Kyushu University Collaboration Program, Kyushu University, 3-1-1 Maidashi, Fukuoka 812-8582, Japan; Graduate School of Science, University of Hyogo, Hyogo, Japan.
| | - Frédéric M Vaz
- Amsterdam UMC location University of Amsterdam, Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children's Hospital, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands; Core Facility Metabolomics, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105, AZ, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism, Inborn Errors of Metabolism, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam 1105, AZ, The Netherlands.
| | - Ernst R Werner
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innrain 80, 6020 Innsbruck, Austria.
| | - Katrin Watschinger
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innrain 80, 6020 Innsbruck, Austria.
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Bryant WB, Yang A, Griffin SH, Zhang W, Rafiq AM, Han W, Deak F, Mills MK, Long X, Miano JM. CRISPR-Cas9 Long-Read Sequencing for Mapping Transgenes in the Mouse Genome. CRISPR J 2023; 6:163-175. [PMID: 37071672 PMCID: PMC10123806 DOI: 10.1089/crispr.2022.0099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 02/12/2023] [Indexed: 04/19/2023] Open
Abstract
Microinjected transgenes, both large and small, are known to insert randomly into the mouse genome. Traditional methods of mapping a transgene are challenging, thus complicating breeding strategies and accurate interpretation of phenotypes, particularly when a transgene disrupts critical coding or noncoding sequences. As the vast majority of transgenic mouse lines remain unmapped, we developed CRISPR-Cas9 Long-Read Sequencing (CRISPR-LRS) to ascertain transgene integration loci. This novel approach mapped a wide size range of transgenes and uncovered more complex transgene-induced host genome re-arrangements than previously appreciated. CRISPR-LRS offers a facile, informative approach to establish robust breeding practices and will enable researchers to study a gene without confounding genetic issues. Finally, CRISPR-LRS will find utility in rapidly and accurately interrogating gene/genome editing fidelity in experimental and clinical settings.
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Affiliation(s)
- W. Bart Bryant
- Department of Medicine and Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Allison Yang
- Department of Medicine and Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Susan H. Griffin
- Department of Medicine and Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Wei Zhang
- Department of Medicine and Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Ashiq M. Rafiq
- Department of Neuroscience and Regenerative Medicine, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Weiping Han
- Department of Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Ferenc Deak
- Department of Neuroscience and Regenerative Medicine, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Mary Katherine Mills
- Department of Department of Biology and Geology, University of South Carolina Aiken, Aiken, South Carolina, USA
| | - Xiaochun Long
- Department of Medicine and Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Joseph M. Miano
- Department of Medicine and Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
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Erbs V, Lorentz R, Eisenman B, Schaeffer L, Luppi L, Lindner L, Hérault Y, Pavlovic G, Wattenhofer-Donzé M, Birling MC. Increased On-Target Rate and Risk of Concatemerization after CRISPR-Enhanced Targeting in ES Cells. Genes (Basel) 2023; 14:genes14020401. [PMID: 36833328 PMCID: PMC9957269 DOI: 10.3390/genes14020401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
The French mouse clinic (Institut Clinique de la Souris; ICS) has produced more than 2000 targeting vectors for 'à la carte' mutagenesis in C57BL/6N mice. Although most of the vectors were used successfully for homologous recombination in murine embryonic stem cells (ESCs), a few have failed to target a specific locus after several attempts. We show here that co-electroporation of a CRISPR plasmid with the same targeting construct as the one that failed previously allows the systematic achievement of positive clones. A careful validation of these clones is, however, necessary as a significant number of clones (but not all) show a concatemerization of the targeting plasmid at the locus. A detailed Southern blot analysis permitted characterization of the nature of these events as standard long-range 5' and 3' PCRs were not able to distinguish between correct and incorrect alleles. We show that a simple and inexpensive PCR performed prior to ESC amplification allows detection and elimination of those clones with concatemers. Finally, although we only tested murine ESCs, our results highlight the risk of mis-validation of any genetically modified cell line (such as established lines, induced pluripotent stem cells or those used for ex vivo gene therapy) that combines the use of CRISPR/Cas9 and a circular double-stranded donor. We strongly advise the CRISPR community to perform a Southern blot with internal probes when using CRISPR to enhance homologous recombination in any cell type, including fertilized oocytes.
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Affiliation(s)
- Valérie Erbs
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
| | - Romain Lorentz
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
| | - Benjamin Eisenman
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
| | - Laurence Schaeffer
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
| | - Laurence Luppi
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
| | - Loic Lindner
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
| | - Yann Hérault
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
- CNRS, INSERM, Université de Strasbourg, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Department of Translational Medicine and Neurogenetics, 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
| | - Guillaume Pavlovic
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
| | - Marie Wattenhofer-Donzé
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
| | - Marie-Christine Birling
- CNRS, INSERM, Université de Strasbourg, CELPHEDIA, PHENOMIN-Institut Clinique de la Souris (ICS), 1 rue Laurent Fries, 67404 Illkirch Graffenstaden, France
- Correspondence:
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Dorninger F, Werner ER, Berger J, Watschinger K. Regulation of plasmalogen metabolism and traffic in mammals: The fog begins to lift. Front Cell Dev Biol 2022; 10:946393. [PMID: 36120579 PMCID: PMC9471318 DOI: 10.3389/fcell.2022.946393] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/25/2022] [Indexed: 12/15/2022] Open
Abstract
Due to their unique chemical structure, plasmalogens do not only exhibit distinct biophysical and biochemical features, but require specialized pathways of biosynthesis and metabolization. Recently, major advances have been made in our understanding of these processes, for example by the attribution of the gene encoding the enzyme, which catalyzes the final desaturation step in plasmalogen biosynthesis, or by the identification of cytochrome C as plasmalogenase, which allows for the degradation of plasmalogens. Also, models have been presented that plausibly explain the maintenance of adequate cellular levels of plasmalogens. However, despite the progress, many aspects around the questions of how plasmalogen metabolism is regulated and how plasmalogens are distributed among organs and tissues in more complex organisms like mammals, remain unresolved. Here, we summarize and interpret current evidence on the regulation of the enzymes involved in plasmalogen biosynthesis and degradation as well as the turnover of plasmalogens. Finally, we focus on plasmalogen traffic across the mammalian body - a topic of major importance, when considering plasmalogen replacement therapies in human disorders, where deficiencies in these lipids have been reported. These involve not only inborn errors in plasmalogen metabolism, but also more common diseases including Alzheimer's disease and neurodevelopmental disorders.
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Affiliation(s)
- Fabian Dorninger
- Department of Pathobiology of the Nervous System, Center for Brain Research, Medical University of Vienna, Vienna, Austria,*Correspondence: Fabian Dorninger, ; Katrin Watschinger,
| | - Ernst R. Werner
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Johannes Berger
- Department of Pathobiology of the Nervous System, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Katrin Watschinger
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria,*Correspondence: Fabian Dorninger, ; Katrin Watschinger,
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6
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VanDenBerg KR, Oravecz-Wilson K, Krolikowski L, Hill V, Reddy P, Freeman ZT. Impact of Automated Genotyping and Increased Breeding Oversight on Overall Mouse Breeding Colony Productivity. Front Physiol 2022; 13:925784. [PMID: 35923239 PMCID: PMC9340497 DOI: 10.3389/fphys.2022.925784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 06/14/2022] [Indexed: 11/13/2022] Open
Abstract
Mice have become increasingly popular as genetic tools, facilitated by the production of advanced genetically engineered mouse models (GEMMs). GEMMs often require in-house breeding and production by research groups, which can be quite complex depending on the design of the GEMM. Identification of methods to increase the efficiency of breeding practices offers opportunities to optimize and reduce the number of animals bred for research while maintaining similar research output. We investigated the use of commercial automated genotyping and centralized breeding management on overall breeding colony productivity in a colony of multiple GEMM lines. This study involved a three-group study design, where the first group continued their standard breeding practices (group A), the second utilized standard breeding practices but outsourced genotyping in place of inhouse genotyping (group B), and a third group outsourced genotyping and had assistance with routine breeding practices from the laboratory animal care team (group C). Compared to standard practice (group A), groups B and C produced more cages and mice over time, which appeared to be driven primarily by an increase in the number of breeding cages in each colony. Higher numbers of breeders correlated with an increased number of litters and generation of new cages. The increases in colony productivity measures were further enhanced in group C compared to group B. The overall cost associated with producing new animals was lowest in group B, followed by groups A and C. Although, by the end of the study, cost to produce new mice was comparable between all three groups. These data suggest that by optimizing breeding practices and management, fewer animals could be utilized to produce the same amount of progeny and reduce overall animal usage and production.
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Affiliation(s)
- Kelly R. VanDenBerg
- Office of Research, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Katherine Oravecz-Wilson
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Lauren Krolikowski
- Unit for Laboratory Animal Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Valerie Hill
- Unit for Laboratory Animal Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Pavan Reddy
- Department of Internal Medicine, Division of Hematology and Oncology, University of MI, Rogel Cancer Center, Ann Arbor, MI, United States
| | - Zachary T Freeman
- Unit for Laboratory Animal Medicine, Refinement and Enrichment Advancements Laboratory, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
- *Correspondence: Zachary T Freeman,
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7
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NEAT1 variant 1 weakens the genome-wide effect of miR-3122 on blocking H3K79me3 in bladder cancer. Aging (Albany NY) 2022; 14:4819-4826. [PMID: 35687898 PMCID: PMC9217706 DOI: 10.18632/aging.204113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/10/2022] [Indexed: 11/25/2022]
Abstract
Nuclear-enriched abundant transcript 1 (NEAT1) is one of the most well-studied long non-coding RNAs (lncRNAs) in multiple human carcinoma. Two distinct variants of NEAT1, however, are never illuminated their specific functions and mechanisms underlying carcinogenesis. In this study, biotin-labelled NEAT1 variants were generated to incubate with cell lysate of bladder cancer cell T24 cells, and fished a batch of RNA substances. Here, we observed that NEAT1.1 (the short transcript) could capture 122 microRNAs (miRNAs), 36 small nucleolar RNAs (snoRNAs), 55 lncRNAs and 38 mRNAs while NEAT1.2 (the long transcript) could obtain 142 miRNAs, 51 snoRNAs, 72 lncRNAs and 41 mRNAs. Furthermore, we also found that the distinctions of RNA binding substances between these two variants were mainly expressed in nucleus rather than cytoplasm. GO analysis indicated that these non-coding RNAs governed histone modification, nucleosome assembly and chromosome organization. We picked up miRNA miR-3122, which substantially interacted with NEAT1.1, and found that histone H3K79me3 was reduced in bladder cancer T24, BIU-87 and EJ-1 cells after miR-3122 overexpression, and rescued by NEAT1.1 additional compensation. Nonetheless, we failed to find that miR-3122 could interfere with expression of H3K79 methyltransferase disruptor of telomeric silencing-1 like (DOT1L). Interestingly, we harvested histone 3 fished by biotin-labelled miR-3122, and validated this intercrossing using RNA immunoprecipitation. Taken together, we demonstrated that NEAT1.1 weakened the effect of miR-3122 on H3K79me3 suppression in bladder cancer.
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8
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Sailer S, Lackner K, Pras-Raves ML, Wever EJM, van Klinken JB, Dane AD, Geley S, Koch J, Golderer G, Werner-Felmayer G, Keller MA, Zwerschke W, Vaz FM, Werner ER, Watschinger K. Adaptations of the 3T3-L1 adipocyte lipidome to defective ether lipid catabolism upon Agmo knockdown. J Lipid Res 2022; 63:100222. [PMID: 35537527 PMCID: PMC9192799 DOI: 10.1016/j.jlr.2022.100222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 04/28/2022] [Accepted: 04/29/2022] [Indexed: 10/24/2022] Open
Abstract
Little is known about the physiological role of alkylglycerol monooxygenase (AGMO), the only enzyme capable of cleaving the 1-O-alkyl ether bond of ether lipids. Expression and enzymatic activity of this enzyme can be detected in a variety of tissues including adipose tissue. This labile lipolytic membrane-bound protein uses tetrahydrobiopterin as a cofactor, and mice with reduced tetrahydrobiopterin levels have alterations in body fat distribution and blood lipid concentrations. In addition, manipulation of AGMO in macrophages led to significant changes in the cellular lipidome, and alkylglycerolipids, the preferred substrates of AGMO, were shown to accumulate in mature adipocytes. Here, we investigated the roles of AGMO in lipid metabolism by studying 3T3-L1 adipogenesis. AGMO activity was induced over 11 days using an adipocyte differentiation protocol. We show that RNA interference-mediated knockdown of AGMO did not interfere with adipocyte differentiation or affect lipid droplet formation. Furthermore, lipidomics revealed that plasmalogen phospholipids were preferentially accumulated upon Agmo knockdown, and a significant shift toward longer and more polyunsaturated acyl side chains of diacylglycerols and triacylglycerols could be detected by mass spectrometry. Our results indicate that alkylglycerol catabolism has an influence not only on ether-linked species but also on the degree of unsaturation in the massive amounts of triacylglycerols formed during in vitro 3T3-L1 adipocyte differentiation.
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Affiliation(s)
- Sabrina Sailer
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Katharina Lackner
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Mia L Pras-Raves
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry and Pediatrics, Emma Children's Hospital, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands; Core Facility Metabolomics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands; Bioinformatics Laboratory, Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Eric J M Wever
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry and Pediatrics, Emma Children's Hospital, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands; Core Facility Metabolomics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands; Bioinformatics Laboratory, Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Jan B van Klinken
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry and Pediatrics, Emma Children's Hospital, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands; Core Facility Metabolomics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Adriaan D Dane
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry and Pediatrics, Emma Children's Hospital, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands; Core Facility Metabolomics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands; Bioinformatics Laboratory, Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Stephan Geley
- Institute of Molecular Pathophysiology, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Jakob Koch
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Georg Golderer
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Gabriele Werner-Felmayer
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Markus A Keller
- Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Werner Zwerschke
- Division of Cell Metabolism and Differentiation Research, Research Institute for Biomedical Aging Research, University of Innsbruck, Innsbruck, Austria
| | - Frédéric M Vaz
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry and Pediatrics, Emma Children's Hospital, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands; Core Facility Metabolomics, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism, Inborn Errors of Metabolism, Amsterdam, The Netherlands
| | - Ernst R Werner
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Katrin Watschinger
- Institute of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria.
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9
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Smirnov A, Battulin N. Concatenation of Transgenic DNA: Random or Orchestrated? Genes (Basel) 2021; 12:genes12121969. [PMID: 34946918 PMCID: PMC8701086 DOI: 10.3390/genes12121969] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 12/08/2021] [Accepted: 12/09/2021] [Indexed: 12/18/2022] Open
Abstract
Generation of transgenic organisms by pronuclear microinjection has become a routine procedure. However, while the process of DNA integration in the genome is well understood, we still do not know much about the recombination between transgene molecules that happens in the first moments after DNA injection. Most of the time, injected molecules are joined together in head-to-tail tandem repeats-the so-called concatemers. In this review, we focused on the possible concatenation mechanisms and how they could be studied with genetic reporters tracking individual copies in concatemers. We also discuss various features of concatemers, including palindromic junctions and repeat-induced gene silencing (RIGS). Finally, we speculate how cooperation of DNA repair pathways creates a multicopy concatenated insert.
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Affiliation(s)
- Alexander Smirnov
- Laboratory of Developmental Genetics, Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia;
| | - Nariman Battulin
- Laboratory of Developmental Genetics, Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia;
- Institute of Genetic Technologies, Novosibirsk State University, 630090 Novosibirsk, Russia
- Correspondence:
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10
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Birling MC, Fray MD, Kasparek P, Kopkanova J, Massimi M, Matteoni R, Montoliu L, Nutter LMJ, Raspa M, Rozman J, Ryder EJ, Scavizzi F, Voikar V, Wells S, Pavlovic G, Teboul L. Importing genetically altered animals: ensuring quality. Mamm Genome 2021; 33:100-107. [PMID: 34536110 PMCID: PMC8913481 DOI: 10.1007/s00335-021-09908-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 08/26/2021] [Indexed: 11/30/2022]
Abstract
The reproducibility of research using laboratory animals requires reliable management of their quality, in particular of their genetics, health and environment, all of which contribute to their phenotypes. The point at which these biological materials are transferred between researchers is particularly sensitive, as it may result in a loss of integrity of the animals and/or their documentation. Here, we describe the various aspects of laboratory animal quality that should be confirmed when sharing rodent research models. We also discuss how repositories of biological materials support the scientific community to ensure the continuity of the quality of laboratory animals. Both the concept of quality and the role of repositories themselves extend to all exchanges of biological materials and all networks that support the sharing of these reagents.
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Affiliation(s)
- M-C Birling
- PHENOMIN-Institut Clinique de la Souris, CELPHEDIA, CNRS, INSERM, Université de Strasbourg, Illkirch-Graffenstaden, 67404, Strasbourg, France.
| | - M D Fray
- The Mary Lyon Centre, Medical Research Council Harwell, Harwell Campus, Didcot, OX11 0RD, Oxon, UK
| | - P Kasparek
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, Czech Republic
| | - J Kopkanova
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, Czech Republic
| | - M Massimi
- Institute of Biochemistry and Cell Biology, Italian National Research Council (CNR), Monterotondo Scalo, Rome, Italy
| | - R Matteoni
- Institute of Biochemistry and Cell Biology, Italian National Research Council (CNR), Monterotondo Scalo, Rome, Italy
| | - L Montoliu
- Department of Molecular and Cellular Biology, National Centre for Biotechnology (CNB-CSIC) Madrid and CIBERER-ISCIII, Madrid, Spain
| | - L M J Nutter
- The Centre for Phenogenomics, The Hospital for Sick Children, Toronto, ON, Canada
| | - M Raspa
- Institute of Biochemistry and Cell Biology, Italian National Research Council (CNR), Monterotondo Scalo, Rome, Italy
| | - J Rozman
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, Czech Republic
| | - E J Ryder
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.,LGC, Sport and Specialised Analytical Services, Fordham, UK
| | - F Scavizzi
- Institute of Biochemistry and Cell Biology, Italian National Research Council (CNR), Monterotondo Scalo, Rome, Italy
| | - V Voikar
- Neuroscience Center and Laboratory Animal Center, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - S Wells
- The Mary Lyon Centre, Medical Research Council Harwell, Harwell Campus, Didcot, OX11 0RD, Oxon, UK
| | - G Pavlovic
- PHENOMIN-Institut Clinique de la Souris, CELPHEDIA, CNRS, INSERM, Université de Strasbourg, Illkirch-Graffenstaden, 67404, Strasbourg, France.
| | - L Teboul
- The Mary Lyon Centre, Medical Research Council Harwell, Harwell Campus, Didcot, OX11 0RD, Oxon, UK.
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11
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AGMO Inhibitor Reduces 3T3-L1 Adipogenesis. Cells 2021; 10:cells10051081. [PMID: 34062826 PMCID: PMC8147360 DOI: 10.3390/cells10051081] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/20/2021] [Accepted: 04/28/2021] [Indexed: 12/20/2022] Open
Abstract
Alkylglycerol monooxygenase (AGMO) is a tetrahydrobiopterin (BH4)-dependent enzyme with major expression in the liver and white adipose tissue that cleaves alkyl ether glycerolipids. The present study describes the disclosure and biological characterization of a candidate compound (Cp6), which inhibits AGMO with an IC50 of 30–100 µM and 5–20-fold preference of AGMO relative to other BH4-dependent enzymes, i.e., phenylalanine-hydroxylase and nitric oxide synthase. The viability and metabolic activity of mouse 3T3-L1 fibroblasts, HepG2 human hepatocytes and mouse RAW264.7 macrophages were not affected up to 10-fold of the IC50. However, Cp6 reversibly inhibited the differentiation of 3T3-L1 cells towards adipocytes, in which AGMO expression was upregulated upon differentiation. Cp6 reduced the accumulation of lipid droplets in adipocytes upon differentiation and in HepG2 cells exposed to free fatty acids. Cp6 also inhibited IL-4-driven differentiation of RAW264.7 macrophages towards M2-like macrophages, which serve as adipocyte progenitors in adipose tissue. Collectively, the data suggest that pharmacologic AGMO inhibition may affect lipid storage.
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