Structure-Functional Studies on Lncrna MEG3 Tina Uroda

Total Page:16

File Type:pdf, Size:1020Kb

Structure-Functional Studies on Lncrna MEG3 Tina Uroda Structure-functional studies on lncRNA MEG3 Tina Uroda To cite this version: Tina Uroda. Structure-functional studies on lncRNA MEG3. Biomolecules [q-bio.BM]. Université Grenoble Alpes, 2019. English. NNT : 2019GREAV014. tel-02569435 HAL Id: tel-02569435 https://tel.archives-ouvertes.fr/tel-02569435 Submitted on 11 May 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE Pour obtenir le grade de DOCTEUR DE LA COMMUNAUTÉ UNIVERSITÉ GRENOBLE ALPES Spécialité : Biologie Structurale et Nanobiologie Arrêté ministériel : 25 mai 2016 Présentée par Tina URODA Thèse dirigée par Marco MARCIA préparée au sein du Laboratoire laboratoire européen de biologie moléculaire dans l'École Doctorale Chimie et Sciences du Vivant Caractérisation structurale et fonctionnelle de l'ARN long non codant MEG3 Structure-functional studies on lncRNA MEG3 Thèse soutenue publiquement le 9 mai 2019, devant le jury composé de : Monsieur MARCO MARCIA DIRECTEUR DE RECHERCHE, EMBL GRENOBLE, Directeur de thèse Monsieur ALBERTO INGA PROFESSEUR, UNIVERSITE DE TRENTE - ITALIE, Rapporteur Madame MAITE HUARTE DIRECTRICE DE RECHERCHE, UNIVERSITE DE NAVARRE- PAMPELUNE-ESPAGNE, Rapporteur Monsieur CLAIRE VOURC'H PROFESSEUR, UNIVERSITE GRENOBLE ALPES, Président Madame REINI F. LUCO DIRECTRICE DE RECHERCHE, CNRS DELEGATION LANGUEDOC- ROUSSILLON, Examinateur Monsieur JANOSCH HENNIG DIRECTEUR DE RECHERCHE, EMBL HEIDELBERG ALLEMAGNE, Examinateur Table of Contents Table of Contents ............................................................................................................................ 1 List of Abbreviations ....................................................................................................................... 5 List of Figures .................................................................................................................................. 9 List of Tables ................................................................................................................................. 12 Abstract ......................................................................................................................................... 13 Résumé en Français ...................................................................................................................... 15 1. Introduction ............................................................................................................................. 17 Résumé en Français ...................................................................................................................... 19 1.1. Non-coding RNAs ............................................................................................................ 21 1.1.1. Long non-coding RNAs ............................................................................................. 22 1.1.1.1. Structural studies on lncRNAs ........................................................................... 22 1.2. LncRNA MEG3 ................................................................................................................. 23 1.2.1. MEG3 evolutionary conservation ............................................................................ 23 1.2.2. Genomic organization of the human MEG3 locus ................................................... 24 1.2.3. MEG3 expression in physiological and pathological conditions .............................. 27 1.2.4. MEG3 cellular localization ....................................................................................... 27 1.2.5. MEG3 functions........................................................................................................ 28 1.2.5.1. Development via Polycomb gene silencing ....................................................... 28 1.2.5.2. Tumor suppression ............................................................................................ 29 1.2.5.2.1. Tumor suppression via p53 pathway ......................................................... 31 1.3. Scientific aims ................................................................................................................. 32 2. Materials and Methods ............................................................................................................. 35 1 Résumé en Français ...................................................................................................................... 37 2.1. Cloning and mutagenesis ............................................................................................... 39 2.2. RNA production and purification ................................................................................... 40 2.3. Native gel electrophoresis .............................................................................................. 41 2.4. Analytical ultracentrifugation......................................................................................... 41 2.5. Dynamic light scattering ................................................................................................. 42 2.6. Size-exclusion chromatography coupled to multi-angle laser light scattering .............. 42 2.7. Size-exclusion chromatography coupled to small angle x-ray scattering ...................... 42 2.8. In vitro secondary structure probing (in vitro SHAPE) ................................................... 42 2.9. Atomic force microscopy ................................................................................................ 45 2.10. Electron microscopy ..................................................................................................... 46 2.10.1. Negative staining ................................................................................................... 46 2.10.2. Data collection and 2D processing ........................................................................ 46 2.10.3. Cryo electron microscopy ...................................................................................... 47 2.11. Mammalian cell lines .................................................................................................... 47 2.12. In vivo structure probing .............................................................................................. 47 2.13. MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay .............. 49 2.14. Luciferase assay ............................................................................................................ 49 2.15. EdU incorporation and flow cytometry assay .............................................................. 49 2.16. Sequence and structural alignments ............................................................................ 50 2.17. Quantitative real-time PCR (qRT-PCR) ......................................................................... 50 3. Results ....................................................................................................................................... 53 Résumé en Français ...................................................................................................................... 55 3.1. MEG3 production ........................................................................................................... 57 2 3.1.1. Homogeneity and purity of MEG3 ........................................................................... 58 3.2. MEG3 secondary structure ............................................................................................. 60 3.2.1. In vitro secondary structure probing of MEG3 variant 1 ......................................... 60 3.2.2. In vitro secondary structure probing of MEG3 variant 9 ......................................... 62 3.2.3. In vitro secondary structure probing of MEG3 variant 3 ......................................... 66 3.2.2. Sequence and structural alignments ....................................................................... 66 3.2.3. In vivo chemical probing .......................................................................................... 69 3.3. MEG3 tertiary structure ................................................................................................. 72 3.3.1. Compaction of MEG3 by AUC .................................................................................. 72 3.3.2. Optimization of folding conditions by MALLS.......................................................... 73 3.3.3. Tertiary structure by SAXS ....................................................................................... 75 3.3.4. Tertiary structure by AFM ........................................................................................ 77 3.3.5. Structural studies with EM ....................................................................................... 82 3.4. Optimisation of functional assays .................................................................................. 87 3.5. Structure-function relationships ...................................................................................
Recommended publications
  • The Lncrna Toolkit: Databases and in Silico Tools for Lncrna Analysis
    non-coding RNA Review The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis Holly R. Pinkney † , Brandon M. Wright † and Sarah D. Diermeier * Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand; [email protected] (H.R.P.); [email protected] (B.M.W.) * Correspondence: [email protected] † These authors contributed equally to this work. Received: 29 November 2020; Accepted: 15 December 2020; Published: 16 December 2020 Abstract: Long non-coding RNAs (lncRNAs) are a rapidly expanding field of research, with many new transcripts identified each year. However, only a small subset of lncRNAs has been characterized functionally thus far. To aid investigating the mechanisms of action by which new lncRNAs act, bioinformatic tools and databases are invaluable. Here, we review a selection of computational tools and databases for the in silico analysis of lncRNAs, including tissue-specific expression, protein coding potential, subcellular localization, structural conformation, and interaction partners. The assembled lncRNA toolkit is aimed primarily at experimental researchers as a useful starting point to guide wet-lab experiments, mainly containing multi-functional, user-friendly interfaces. With more and more new lncRNA analysis tools available, it will be essential to provide continuous updates and maintain the availability of key software in the future. Keywords: non-coding RNAs; long non-coding RNAs; databases; computational analysis; bioinformatic prediction software; RNA interactions; coding potential; RNA structure; RNA function 1. Introduction For decades, the human genome was thought to be a desert of ‘junk DNA’ with sporadic oases of transcriptionally active genes, most of them coding for proteins.
    [Show full text]
  • The Long Non-Coding RNA Meg3 Is Dispensable for Hematopoietic Stem Cells
    www.nature.com/scientificreports OPEN The long non-coding RNA Meg3 is dispensable for hematopoietic stem cells Received: 10 October 2018 Pia Sommerkamp1,2,3, Simon Renders1,2, Luisa Ladel1,2, Agnes Hotz-Wagenblatt 4, Accepted: 2 January 2019 Katharina Schönberger1,2,5, Petra Zeisberger1,2, Adriana Przybylla1,2, Markus Sohn1,2, Published: xx xx xxxx Yunli Zhou6, Anne Klibanski6, Nina Cabezas-Wallscheid1,2,5 & Andreas Trumpp1,2 The long non-coding RNA (lncRNA) Maternally Expressed Gene 3 (Meg3) is encoded within the imprinted Dlk1-Meg3 gene locus and is only maternally expressed. Meg3 has been shown to play an important role in the regulation of cellular proliferation and functions as a tumor suppressor in numerous tissues. Meg3 is highly expressed in mouse adult hematopoietic stem cells (HSCs) and strongly down-regulated in early progenitors. To address its functional role in HSCs, we used MxCre to conditionally delete Meg3 in the adult bone marrow of Meg3mat-fox/pat-wt mice. We performed extensive in vitro and in vivo analyses of mice carrying a Meg3 defcient blood system, but neither observed impaired hematopoiesis during homeostatic conditions nor upon serial transplantation. Furthermore, we analyzed VavCre Meg3mat-fox/pat-wt mice, in which Meg3 was deleted in the embryonic hematopoietic system and unexpectedly this did neither generate any hematopoietic defects. In response to interferon-mediated stimulation, Meg3 defcient adult HSCs responded highly similar compared to controls. Taken together, we report the fnding, that the highly expressed imprinted lncRNA Meg3 is dispensable for the function of HSCs during homeostasis and in response to stress mediators as well as for serial reconstitution of the blood system in vivo.
    [Show full text]
  • Dysfunction of the WT1-MEG3 Signaling Promotes AML Leukemogenesis Via P53-Dependent and -Independent Pathways
    OPEN Leukemia (2017) 31, 2543–2551 www.nature.com/leu ORIGINAL ARTICLE Dysfunction of the WT1-MEG3 signaling promotes AML leukemogenesis via p53-dependent and -independent pathways YLyu1,2,7, J Lou1,3,7, Y Yang1,2,7, J Feng1,7, Y Hao1, S Huang1, L Yin1,2,JXu1, D Huang1,2,BMa1,3, D Zou1, Y Wang1,2, Y Zhang1, B Zhang3, P Chen4,KYu5, EW-F Lam6, X Wang1, Q Liu1,JYan1,2 and B Jin1 Long non-coding RNAs (lncRNAs) play a pivotal role in tumorigenesis, exemplified by the recent finding that lncRNA maternally expressed gene 3 (MEG3) inhibits tumor growth in a p53-dependent manner. Acute myeloid leukemia (AML) is the most common malignant myeloid disorder in adults, and TP53 mutations or loss are frequently detected in patients with therapy-related AML or AML with complex karyotype. Here, we reveal that MEG3 is significantly downregulated in AML and suppresses leukemogenesis not only in a p53-dependent, but also a p53-independent manner. In addition, MEG3 is proven to be transcriptionally activated by Wilms’ tumor 1 (WT1), dysregulation of which by epigenetic silencing or mutations is causally involved in AML. Therefore MEG3 is identified as a novel target of the WT1 molecule. Ten–eleven translocation-2 (TET2) mutations frequently occur in AML and significantly promote leukemogenesis of this disorder. In our study, TET2, acting as a cofactor of WT1, increases MEG3 expression. Taken together, our work demonstrates that TET2 dysregulated WT1-MEG3 axis significantly promotes AML leukemogenesis, paving a new avenue for diagnosis and treatment of AML patients.
    [Show full text]
  • The Interaction Between P53 and Mdm2 Is Independent of MEG3–P53 Association
    bioRxiv preprint doi: https://doi.org/10.1101/857912; this version posted November 29, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. The interaction between p53 and Mdm2 is independent of MEG3–p53 association Nicholas C. Bauera, Anli Yangb,†,§, Xin Wangb,†,‖, Yunli Zhoub, Anne Klibanskib,‡,¶, Roy J. Sobermana,*,‡ a Division of Nephrology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129 b Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114 * To whom correspondence should be addressed. Tel: +1 617-455-2003; Email: [email protected] † These authors contributed equally to the work ‡ These authors contributed equally to the work § Current affiliation: Department of Histology and Embryology, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China ‖ Current affiliation: Department of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China ¶ Current affiliation: Partners Healthcare, Somerville, MA bioRxiv preprint doi: https://doi.org/10.1101/857912; this version posted November 29, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Bauer et al. – Page 2 ABSTRACT The ability of the long noncoding RNA MEG3 to suppress cell proliferation led to its recognition as a tumor suppressor.
    [Show full text]
  • Epigenetic Regulation of the Dlk1-Meg3 Imprinted Locus in Human Islets
    University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2016 Epigenetic Regulation of the Dlk1-Meg3 Imprinted Locus in Human Islets Vasumathi Kameswaran University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Cell Biology Commons, Genetics Commons, and the Molecular Biology Commons Recommended Citation Kameswaran, Vasumathi, "Epigenetic Regulation of the Dlk1-Meg3 Imprinted Locus in Human Islets" (2016). Publicly Accessible Penn Dissertations. 1798. https://repository.upenn.edu/edissertations/1798 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1798 For more information, please contact [email protected]. Epigenetic Regulation of the Dlk1-Meg3 Imprinted Locus in Human Islets Abstract Type 2 diabetes mellitus (T2DM) is a complex metabolic disease characterized by inadequate insulin secretion by the pancreatic β-cell in response to increased blood glucose levels. Despite compelling evidence that T2DM has a high rate of familial aggregation, known genetic risk variants account for less than 10% of the observed heritability. Consequently, post-transcriptional regulators of gene expression, including microRNAs and other noncoding RNAs, have been implicated in the etiology of T2DM, in part due to their ability to simultaneously regulate the expression of hundreds of targets. To determine if microRNAs are involved in the pathogenesis of human T2DM, I sequenced the small RNAs of human islets from diabetic and non-diabetic organ donors. From this screen, I identified the maternally-expressed genes in the imprinted DLK1-MEG3 locus as highly- and specifically-expressed in human β-cells, but repressed in T2DM islets. Repression of this noncoding transcript was strongly correlated with hyper-methylation of the promoter that drives transcription of all the maternal noncoding RNAs including the long noncoding RNA MEG3, several microRNAs and snoRNAs.
    [Show full text]
  • Imprinted Genes and Multiple Sclerosis: What Do We Know?
    International Journal of Molecular Sciences Review Imprinted Genes and Multiple Sclerosis: What Do We Know? Natalia Baulina 1,2,* , Ivan Kiselev 1 and Olga Favorova 1,2 1 Institute of Translational Medicine, Pirogov Russian National Research Medical University, 117997 Moscow, Russia; [email protected] (I.K.); [email protected] (O.F.) 2 Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, 117997 Moscow, Russia * Correspondence: [email protected] Abstract: Multiple sclerosis (MS) is a chronic autoimmune neurodegenerative disease of the central nervous system that arises from interplay between non-genetic and genetic risk factors. The epige- netics functions as a link between these factors, affecting gene expression in response to external influence, and therefore should be extensively studied to improve the knowledge of MS molecular mechanisms. Among others, the epigenetic mechanisms underlie the establishment of parent-of- origin effects that appear as phenotypic differences depending on whether the allele was inherited from the mother or father. The most well described manifestation of parent-of-origin effects is genomic imprinting that causes monoallelic gene expression. It becomes more obvious that dis- turbances in imprinted genes at the least affecting their expression do occur in MS and may be involved in its pathogenesis. In this review we will focus on the potential role of imprinted genes in MS pathogenesis. Keywords: multiple sclerosis; parent-of-origin effect; genomic imprinting; DLK1-DIO3 locus; miRNA Citation: Baulina, N.; Kiselev, I.; 1. Introduction Favorova, O. Imprinted Genes and Multiple Sclerosis: What Do We Multiple sclerosis (MS) is a chronic autoimmune and neurodegenerative disease of Know? Int.
    [Show full text]
  • Cancer Cells Retrace a Stepwise Differentiation Program During Malignant Progression
    Author Manuscript Published OnlineFirst on April 28, 2021; DOI: 10.1158/2159-8290.CD-20-1637 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Cancer cells retrace a stepwise differentiation program during malignant progression Sadegh Saghafinia 1,2,3,#, Krisztian Homicsko 1, Annunziata Di Domenico 4, Stephan Wullschleger 1,+, Aurel Perren 4, Ilaria Marinoni 4, Giovanni Ciriello 2,3, Iacovos P. Michael 1,$,#,*, and Douglas Hanahan 1,5,* 1 Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland 2 Department of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland 3 Swiss Institute of Bioinformatics (SIB) 4 Institute of Pathology, University of Bern, Bern, Switzerland 5 Lausanne Branch, Ludwig Institute for Cancer Research, Lausanne, Switzerland + Current address: Molecular Partners AG, Zurich, Switzerland $ Current address: Biological Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada # These authors contributed equally * Corresponding authors: [email protected], [email protected] Running Title Retracing stepwise differentiation during tumor progression Keywords Pancreatic Neuroendocrine tumor, Dedifferentiation, Cancer plasticity, Tumor heterogeneity, Metastasis, miRNA-181, Hmgb3, Meis2 Corresponding Authors contact details: Iacovos P. Michael, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto, Ontario, M4N 3M5, Canada | Phone: 416-480-6100x3354
    [Show full text]
  • Epigenetic Detection of Human Chromosome 14 Uniparental Disomy
    HUMAN MUTATION 22:92^97 (2003) METHODS Epigenetic Detection of Human Chromosome 14 Uniparental Disomy S.K. Murphy,1* A.A. Wylie,1,2 K.J. Coveler,3 P.D. Cotter,4 P.R. Papenhausen,5 V.R. Sutton,3 L.G. Shaffer,3 and R.L. Jirtle1 1Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina; 2AstraZeneca Pharmaceuticals, Ltd., Alderley Edge, Cheshire, UK; 3Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas; 4Division of Medical Genetics, Children’s Hospital Oakland, Oakland, California; 5Department of Cytogenetics, LabCorp Inc., Research Triangle Park, North Carolina Communicated by Haig H. Kazazian The recent demonstration of genomic imprinting of DLK1 and MEG3 on human chromosome 14q32 indicates that these genes might contribute to the discordant phenotypes associated with uniparental disomy (UPD) of chromosome 14. Regulation of imprinted expression of DLK1 and MEG3 involves a differentially methylated region (DMR) that encompasses the MEG3 promoter. We exploited the normal differential methylation of the DLK1/MEG3 region to develop a rapid diagnostic PCR assay based upon an individual’s epigenetic profile. We used methylation-specific multiplex PCR in a retrospective analysis to amplify divergent lengths of the methylated and unmethylated MEG3 DMR in a single reaction and accurately identified normal, maternal UPD14, and paternal UPD14 in bisulfite converted DNA samples. This approach, which is based solely on differential epigenetic profiles, may be generally applicable for rapidly and economically screening for other imprinting defects associated with uniparental disomy, determining loss of heterozygosity of imprinted tumor suppressor genes, and identifying gene-specific hypermethylation events associated with neoplastic progression.
    [Show full text]
  • Maternally Expressed Gene 3, an Imprinted Noncoding RNA Gene, Is Associated with Meningioma Pathogenesis and Progression
    Published OnlineFirst February 23, 2010; DOI: 10.1158/0008-5472.CAN-09-3885 Published Online First on February 23, 2010 as 10.1158/0008-5472.CAN-09-3885 Molecular and Cellular Pathobiology Cancer Research Maternally Expressed Gene 3, an Imprinted Noncoding RNA Gene, Is Associated with Meningioma Pathogenesis and Progression Xun Zhang1, Roger Gejman1,2, Ali Mahta1, Ying Zhong1, Kimberley A. Rice1, Yunli Zhou1, Pornsuk Cheunsuchon1,2, David N. Louis2, and Anne Klibanski1 Abstract Meningiomas are common tumors, representing 15% to 25% of all central nervous system tumors. NF2 gene inactivation on chromosome 22 has been shown as an early event in tumorigenesis; however, few factors un- derlying tumor growth and progression have been identified. The chromosomal abnormalities of 14q32 are often associated with meningioma pathogenesis and progression; therefore, it has been proposed that an as yet unidentified tumor suppressor is present at this locus. Maternally expressed gene 3 (MEG3) is an imprinted gene located at 14q32 which encodes a noncoding RNA with an antiproliferative function. We found that MEG3 mRNA is highly expressed in normal arachnoidal cells. However, MEG3 is not expressed in the majority of human meningiomas or the human meningioma cell lines IOMM-Lee and CH157-MN. There is a strong association between loss of MEG3 expression and tumor grade. Allelic loss at the MEG3 locus is also observed in meningiomas, with increasing prevalence in higher grade tumors. In addition, there is an increase in CpG methylation within the promoter and the imprinting control region of MEG3 gene in meningiomas. Function- ally, MEG3 suppresses DNA synthesis in both IOMM-Lee and CH157-MN cells by ∼60% in bromodeoxyuridine incorporation assays.
    [Show full text]
  • Transcriptomic Analysis of Mrna-Lncrna-Mirna Interactions
    www.nature.com/scientificreports OPEN Transcriptomic Analysis of mRNA- lncRNA-miRNA Interactions in Hepatocellular Carcinoma Xia Tang1, Delong Feng2, Min Li3, Jinxue Zhou4, Xiaoyuan Li5, Dachun Zhao6, Bingtao Hao2,7, Dewei Li8 & Keyue Ding1,9* Fully elucidating the molecular mechanisms of non-coding RNAs (ncRNAs), including micro RNAs (miRNAs) and long non-coding RNAs (lncRNAs), underlying hepatocarcinogenesis is challenging. We characterized the expression profles of ncRNAs and constructed a regulatory mRNA-lncRNA-miRNA (MLMI) network based on transcriptome sequencing (RNA-seq) of hepatocellular carcinoma (HCC, n = 9) patients. Of the identifed miRNAs (n = 203) and lncRNAs (n = 1,090), we found 16 signifcantly diferentially expressed (DE) miRNAs and three DE lncRNAs. The DE RNAs were highly enriched in 21 functional pathways implicated in HCC (p < 0.05), including p53, MAPK, and NAFLD signaling. Potential pairwise interactions between DE ncRNAs and mRNAs were fully characterized using in silico prediction and experimentally-validated evidence. We for the frst time constructed a MLMI network of reciprocal interactions for 16 miRNAs, three lncRNAs, and 253 mRNAs in HCC. The predominant role of MEG3 in the MLMI network was validated by its overexpression in vitro that the expression levels of a proportion of MEG3-targeted miRNAs and mRNAs was changed signifcantly. Our results suggested that the comprehensive MLMI network synergistically modulated carcinogenesis, and the crosstalk of the network provides a new avenue to accurately describe the molecular mechanisms of hepatocarcinogenesis. Hepatocellular carcinoma (HCC) is the third cause of cancer mortality worldwide1. Chronic liver infection due to hepatitis B or C virus (HBV or HCV) infection is one of the most important risk factors for HCC1.
    [Show full text]
  • The Role of Lncrna in the Development of Tumors, Including Breast Cancer
    International Journal of Molecular Sciences Review The Role of lncRNA in the Development of Tumors, including Breast Cancer Beata Smolarz 1,* , Anna Zadrozna-Nowak˙ 2 and Hanna Romanowicz 1 1 Laboratory of Cancer Genetics, Department of Pathology, Polish Mother’s Memorial Hospital Research Institute, Rzgowska 281/289, 93-338 Lodz, Poland; [email protected] 2 Department of Chemotherapy, Copernicus Memorial Hospital, Medical University of Lodz, 93-513 Lodz, Poland; [email protected] * Correspondence: [email protected] Abstract: Long noncoding RNAs (lncRNAs) are the largest groups of ribonucleic acids, but, despite the increasing amount of literature data, the least understood. Given the involvement of lncRNA in basic cellular processes, especially in the regulation of transcription, the role of these noncoding molecules seems to be of great importance for the proper functioning of the organism. Studies have shown a relationship between disturbed lncRNA expression and the pathogenesis of many diseases, including cancer. The present article presents a detailed review of the latest reports and data regarding the importance of lncRNA in the development of cancers, including breast carcinoma. Keywords: tumors; breast cancer; lncRNA; expression 1. lncRNA—History Citation: Smolarz, B.; Zadrozna-Nowak,˙ A.; Romanowicz, The history of lncRNA, or long noncoding RNA, dates back to the early 21st century. H. The Role of lncRNA in the In 2001, two groundbreaking works were published—the first in Nature and the second in Development of Tumors, including Science—which presented 96% [1] and 100% of the human genome, respectively [2]. The Breast Cancer. Int. J. Mol. Sci. 2021, 22, final sequence of the human genome was released in 2003.
    [Show full text]
  • Supplementary Material Peptide-Conjugated Oligonucleotides Evoke Long-Lasting Myotonic Dystrophy Correction in Patient-Derived C
    Supplementary material Peptide-conjugated oligonucleotides evoke long-lasting myotonic dystrophy correction in patient-derived cells and mice Arnaud F. Klein1†, Miguel A. Varela2,3,4†, Ludovic Arandel1, Ashling Holland2,3,4, Naira Naouar1, Andrey Arzumanov2,5, David Seoane2,3,4, Lucile Revillod1, Guillaume Bassez1, Arnaud Ferry1,6, Dominic Jauvin7, Genevieve Gourdon1, Jack Puymirat7, Michael J. Gait5, Denis Furling1#* & Matthew J. A. Wood2,3,4#* 1Sorbonne Université, Inserm, Association Institut de Myologie, Centre de Recherche en Myologie, CRM, F-75013 Paris, France 2Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road, Oxford, UK 3Department of Paediatrics, John Radcliffe Hospital, University of Oxford, Oxford, UK 4MDUK Oxford Neuromuscular Centre, University of Oxford, Oxford, UK 5Medical Research Council, Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge, UK 6Sorbonne Paris Cité, Université Paris Descartes, F-75005 Paris, France 7Unit of Human Genetics, Hôpital de l'Enfant-Jésus, CHU Research Center, QC, Canada † These authors contributed equally to the work # These authors shared co-last authorship Methods Synthesis of Peptide-PMO Conjugates. Pip6a Ac-(RXRRBRRXRYQFLIRXRBRXRB)-CO OH was synthesized and conjugated to PMO as described previously (1). The PMO sequence targeting CUG expanded repeats (5′-CAGCAGCAGCAGCAGCAGCAG-3′) and PMO control reverse (5′-GACGACGACGACGACGACGAC-3′) were purchased from Gene Tools LLC. Animal model and ASO injections. Experiments were carried out in the “Centre d’études fonctionnelles” (Faculté de Médecine Sorbonne University) according to French legislation and Ethics committee approval (#1760-2015091512001083v6). HSA-LR mice are gift from Pr. Thornton. The intravenous injections were performed by single or multiple administrations via the tail vein in mice of 5 to 8 weeks of age.
    [Show full text]