Long Non-Coding RNA (Lncrna) Roles in Cell Biology, Neurodevelopment and Neurological Disorders
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Trans-Acting Antisense Rnas Mediate Transcriptional Gene Cosuppression in S
Downloaded from genesdev.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Trans-acting antisense RNAs mediate transcriptional gene cosuppression in S. cerevisiae Jurgi Camblong,1 Nissrine Beyrouthy, Elisa Guffanti, Guillaume Schlaepfer, Lars M. Steinmetz,2 and Francxoise Stutz3 Department of Cell Biology and NCCR ‘‘Frontiers in Genetics’’ Program, University of Geneva, 1211 Geneva 4, Switzerland Homology-dependent gene silencing, a phenomenon described as cosuppression in plants, depends on siRNAs. We provide evidence that in Saccharomyces cerevisiae, which is missing the RNAi machinery, protein coding gene cosuppression exists. Indeed, introduction of an additional copy of PHO84 on a plasmid or within the genome results in the cosilencing of both the transgene and the endogenous gene. This repression is transcriptional and position-independent and requires trans-acting antisense RNAs. Antisense RNAs induce transcriptional gene silencing both in cis and in trans, and the two pathways differ by the implication of the Hda1/2/3 complex. We also show that trans-silencing is influenced by the Set1 histone methyltransferase, which promotes antisense RNA production. Finally we show that although antisense-mediated cis-silencing occurs in other genes, trans- silencing so far depends on features specific to PHO84. All together our data highlight the importance of noncoding RNAs in mediating RNAi-independent transcriptional gene silencing. [Keywords: Antisense RNA; cis and trans transcriptional gene silencing; PHO84; cosuppression; RNAi-independent TGS; noncoding RNA; S. cerevisiae] Supplemental material is available at http://www.genesdev.org. Received January 15, 2009; revised version accepted May 18, 2009. Eukaryotic gene expression is a complex process regu- recently reported (Camblong et al. -
Functional Classification of Long Non-Coding Rnas by K-Mer Content
ARTICLES https://doi.org/10.1038/s41588-018-0207-8 Functional classification of long non-coding RNAs by k-mer content Jessime M. Kirk1,2, Susan O. Kim1,8, Kaoru Inoue1,8, Matthew J. Smola3,9, David M. Lee1,4, Megan D. Schertzer1,4, Joshua S. Wooten1,4, Allison R. Baker" "1,10, Daniel Sprague1,5, David W. Collins6, Christopher R. Horning6, Shuo Wang6, Qidi Chen6, Kevin M. Weeks" "3, Peter J. Mucha7 and J. Mauro Calabrese" "1* The functions of most long non-coding RNAs (lncRNAs) are unknown. In contrast to proteins, lncRNAs with similar functions often lack linear sequence homology; thus, the identification of function in one lncRNA rarely informs the identification of function in others. We developed a sequence comparison method to deconstruct linear sequence relationships in lncRNAs and evaluate similarity based on the abundance of short motifs called k-mers. We found that lncRNAs of related function often had similar k-mer profiles despite lacking linear homology, and that k-mer profiles correlated with protein binding to lncRNAs and with their subcellular localization. Using a novel assay to quantify Xist-like regulatory potential, we directly demonstrated that evolutionarily unrelated lncRNAs can encode similar function through different spatial arrangements of related sequence motifs. K-mer-based classification is a powerful approach to detect recurrent relationships between sequence and function in lncRNAs. he human genome expresses thousands of lncRNAs, several This problem extends to the thousands of lncRNAs that lack char- of which regulate fundamental cellular processes. Still, the acterized functions. Toverwhelming majority of lncRNAs lack characterized func- tion and it is likely that physiologically important lncRNAs remain Results to be identified. -
Smchd1-Dependent and -Independent Pathways Determine Developmental Dynamics of Cpg Island Methylation on The
Edinburgh Research Explorer Smchd1-Dependent and -Independent Pathways Determine Developmental Dynamics of CpG Island Methylation on the Inactive X Chromosome Citation for published version: Gendrel, AV, Apedaile, A, Coker, H, Termanis, A, Zvetkova, I, Godwin, J, Montana, G, Taylor, S, Giannoulatou, E, Heard, E, Stancheva, I & Brockdorff, N 2012, 'Smchd1-Dependent and -Independent Pathways Determine Developmental Dynamics of CpG Island Methylation on the Inactive X Chromosome', Developmental Cell, vol. 23, no. 2, pp. 265–279. https://doi.org/10.1016/j.devcel.2012.06.011 Digital Object Identifier (DOI): 10.1016/j.devcel.2012.06.011 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Developmental Cell General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 07. Oct. 2021 Developmental Cell Article Smchd1-Dependent and -Independent Pathways Determine Developmental Dynamics of CpG Island Methylation on the Inactive X Chromosome Anne-Valerie Gendrel,1,7,8 Anwyn Apedaile,3,8 Heather Coker,1 Ausma Termanis,4 Ilona Zvetkova,3,9 Jonathan Godwin,1 Y. -
Ubiquitination Is Not Omnipresent in Myeloid Leukemia Ramesh C
Editorials Ubiquitination is not omnipresent in myeloid leukemia Ramesh C. Nayak1 and Jose A. Cancelas1,2 1Division of Experimental Hematology and Cancer Biology, Cincinnati Children’s Hospital Medical Center and 2Hoxworth Blood Center, University of Cincinnati Academic Health Center, Cincinnati, OH, USA E-mail: JOSE A. CANCELAS - [email protected] / [email protected] doi:10.3324/haematol.2019.224162 hronic myelogenous leukemia (CML) is a clonal tination of target proteins through their cognate E3 ubiq- biphasic hematopoietic disorder most frequently uitin ligases belonging to three different families (RING, Ccaused by the expression of the BCR-ABL fusion HERCT, RING-between-RING or RBR type E3).7 protein. The expression of BCR-ABL fusion protein with The ubiquitin conjugating enzymes including UBE2N constitutive and elevated tyrosine kinase activity is suffi- (UBC13) and UBE2C are over-expressed in a myriad of cient to induce transformation of hematopoietic stem tumors such as breast, pancreas, colon, prostate, lym- cells (HSC) and the development of CML.1 Despite the phoma, and ovarian carcinomas.8 Higher expression of introduction of tyrosine kinase inhibitors (TKI), the dis- UBE2A is associated with poor prognosis of hepatocellu- ease may progress from a manageable chronic phase to a lar cancer.9 In leukemia, bone marrow (BM) cells from clinically challenging blast crisis phase with a poor prog- pediatric acute lymphoblastic patients show higher levels nosis,2 in which myeloid or lymphoid blasts fail to differ- of UBE2Q2 -
Exploring the Structure of Long Non-Coding Rnas, J
IMF YJMBI-63988; No. of pages: 15; 4C: 3, 4, 7, 8, 10 1 2 Rise of the RNA Machines: Exploring the Structure of 3 Long Non-Coding RNAs 4 Irina V. Novikova, Scott P. Hennelly, Chang-Shung Tung and Karissa Y. Sanbonmatsu Q15 6 Los Alamos National Laboratory, Los Alamos, NM 87545, USA 7 Correspondence to Karissa Y. Sanbonmatsu: [email protected] 8 http://dx.doi.org/10.1016/j.jmb.2013.02.030 9 Edited by A. Pyle 1011 12 Abstract 13 Novel, profound and unexpected roles of long non-coding RNAs (lncRNAs) are emerging in critical aspects of 14 gene regulation. Thousands of lncRNAs have been recently discovered in a wide range of mammalian 15 systems, related to development, epigenetics, cancer, brain function and hereditary disease. The structural 16 biology of these lncRNAs presents a brave new RNA world, which may contain a diverse zoo of new 17 architectures and mechanisms. While structural studies of lncRNAs are in their infancy, we describe existing 18 structural data for lncRNAs, as well as crystallographic studies of other RNA machines and their implications 19 for lncRNAs. We also discuss the importance of dynamics in RNA machine mechanism. Determining 20 commonalities between lncRNA systems will help elucidate the evolution and mechanistic role of lncRNAs in 21 disease, creating a structural framework necessary to pursue lncRNA-based therapeutics. 22 © 2013 Published by Elsevier Ltd. 24 23 25 Introduction rather than the exception in the case of eukaryotic 50 organisms. 51 26 RNA is primarily known as an intermediary in gene LncRNAs are defined by the following: (i) lack of 52 11 27 expression between DNA and proteins. -
Proteomic Analysis of the Rad18 Interaction Network in DT40 – a Chicken B Cell Line
Proteomic analysis of the Rad18 interaction network in DT40 – a chicken B cell line Thesis submitted for the degree of Doctor of Natural Sciences at the Faculty of Biology, Ludwig-Maximilians-University Munich 15th January, 2009 Submitted by Sushmita Gowri Sreekumar Chennai, India Completed at the Helmholtz Zentrum München German Research Center for Environmental Health Institute of Clinical Molecular Biology and Tumor Genetics, Munich Examiners: PD Dr. Berit Jungnickel Prof. Heinrich Leonhardt Prof. Friederike Eckardt-Schupp Prof. Harry MacWilliams Date of Examination: 16th June 2009 To my Parents, Sister, Brother & Rajesh Table of Contents 1. SUMMARY ........................................................................................................................ 1 2. INTRODUCTION ............................................................................................................. 2 2.1. MECHANISMS OF DNA REPAIR ......................................................................................... 3 2.2. ADAPTIVE GENETIC ALTERATIONS – AN ADVANTAGE ....................................................... 5 2.3. THE PRIMARY IG DIVERSIFICATION DURING EARLY B CELL DEVELOPMENT ...................... 6 2.4. THE SECONDARY IG DIVERSIFICATION PROCESSES IN THE GERMINAL CENTER .................. 7 2.4.1. Processing of AID induced DNA lesions during adaptive immunity .................. 9 2.5. TARGETING OF SOMATIC HYPERMUTATION TO THE IG LOCI ............................................ 10 2.6. ROLE OF THE RAD6 PATHWAY IN IG DIVERSIFICATION -
Genetic and Neurodevelopmental Spectrum Of
Cognitive and behavioural genetics J Med Genet: first published as 10.1136/jmedgenet-2015-103451 on 17 March 2016. Downloaded from ORIGINAL ARTICLE Genetic and neurodevelopmental spectrum of SYNGAP1-associated intellectual disability and epilepsy Cyril Mignot,1,2,3 Celina von Stülpnagel,4,5 Caroline Nava,1,6 Dorothée Ville,7 Damien Sanlaville,8,9,10 Gaetan Lesca,8,9,10 Agnès Rastetter,6 Benoit Gachet,6 Yannick Marie,6 G Christoph Korenke,11 Ingo Borggraefe,12 Dorota Hoffmann-Zacharska,13 Elżbieta Szczepanik,14 Mariola Rudzka-Dybała,14 Uluç Yiş,15 Hande Çağlayan,16 Arnaud Isapof,17 Isabelle Marey,1 Eleni Panagiotakaki,18 Christian Korff,19 Eva Rossier,20 Angelika Riess,21 Stefanie Beck-Woedl,21 Anita Rauch,22 Christiane Zweier,23 Juliane Hoyer,23 André Reis,23 Mikhail Mironov,24 Maria Bobylova,24 Konstantin Mukhin,24 Laura Hernandez-Hernandez,25 Bridget Maher,25 Sanjay Sisodiya,25 Marius Kuhn,26 Dieter Glaeser,26 Sarah Weckhuysen,6,27 Candace T Myers,28 Heather C Mefford,28 Konstanze Hörtnagel,29 Saskia Biskup,29 EuroEPINOMICS-RES MAE working group, Johannes R Lemke,30 Delphine Héron,1,2,3,4 Gerhard Kluger,4,5 Christel Depienne1,6 ▸ Additional material is ABSTRACT INTRODUCTION published online only. To view Objective We aimed to delineate the neurodevelopmental The human SYNGAP1 gene on chromosome please visit the journal online (http://dx.doi.org/10.1136/ spectrum associated with SYNGAP1 mutations and to 6p21.3 encodes the synaptic RAS-GTPase-activating jmedgenet-2015-103451). investigate genotype–phenotype correlations. protein 1, a protein of the post-synaptic density Methods We sequenced the exome or screened the exons (PSD) of glutamatergic neurons.12SYNGAP1 inter- For numbered affiliations see end of article. -
VU Research Portal
VU Research Portal Genetic architecture and behavioral analysis of attention and impulsivity Loos, M. 2012 document version Publisher's PDF, also known as Version of record Link to publication in VU Research Portal citation for published version (APA) Loos, M. (2012). Genetic architecture and behavioral analysis of attention and impulsivity. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. E-mail address: [email protected] Download date: 28. Sep. 2021 Genetic architecture and behavioral analysis of attention and impulsivity Maarten Loos 1 About the thesis The work described in this thesis was performed at the Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands. This work was in part funded by the Dutch Neuro-Bsik Mouse Phenomics consortium. The Neuro-Bsik Mouse Phenomics consortium was supported by grant BSIK 03053 from SenterNovem (The Netherlands). -
Snapshot: the Splicing Regulatory Machinery Mathieu Gabut, Sidharth Chaudhry, and Benjamin J
192 Cell SnapShot: The Splicing Regulatory Machinery Mathieu Gabut, Sidharth Chaudhry, and Benjamin J. Blencowe 133 Banting and Best Department of Medical Research, University of Toronto, Toronto, ON M5S 3E1, Canada Expression in mouse , April4, 2008©2008Elsevier Inc. Low High Name Other Names Protein Domains Binding Sites Target Genes/Mouse Phenotypes/Disease Associations Amy Ceb Hip Hyp OB Eye SC BM Bo Ht SM Epd Kd Liv Lu Pan Pla Pro Sto Spl Thy Thd Te Ut Ov E6.5 E8.5 E10.5 SRp20 Sfrs3, X16 RRM, RS GCUCCUCUUC SRp20, CT/CGRP; −/− early embryonic lethal E3.5 9G8 Sfrs7 RRM, RS, C2HC Znf (GAC)n Tau, GnRH, 9G8 ASF/SF2 Sfrs1 RRM, RS RGAAGAAC HipK3, CaMKIIδ, HIV RNAs; −/− embryonic lethal, cond. KO cardiomyopathy SC35 Sfrs2 RRM, RS UGCUGUU AChE; −/− embryonic lethal, cond. KO deficient T-cell maturation, cardiomyopathy; LS SRp30c Sfrs9 RRM, RS CUGGAUU Glucocorticoid receptor SRp38 Fusip1, Nssr RRM, RS ACAAAGACAA CREB, type II and type XI collagens SRp40 Sfrs5, HRS RRM, RS AGGAGAAGGGA HipK3, PKCβ-II, Fibronectin SRp55 Sfrs6 RRM, RS GGCAGCACCUG cTnT, CD44 DOI 10.1016/j.cell.2008.03.010 SRp75 Sfrs4 RRM, RS GAAGGA FN1, E1A, CD45; overexpression enhances chondrogenic differentiation Tra2α Tra2a RRM, RS GAAARGARR GnRH; overexpression promotes RA-induced neural differentiation SR and SR-Related Proteins Tra2β Sfrs10 RRM, RS (GAA)n HipK3, SMN, Tau SRm160 Srrm1 RS, PWI AUGAAGAGGA CD44 SWAP Sfrs8 RS, SWAP ND SWAP, CD45, Tau; possible asthma susceptibility gene hnRNP A1 Hnrnpa1 RRM, RGG UAGGGA/U HipK3, SMN2, c-H-ras; rheumatoid arthritis, systemic lupus -
Translational Regulation of Syngap1 by FMRP Modulates NMDAR Mediated Signalling
bioRxiv preprint doi: https://doi.org/10.1101/345058; this version posted June 26, 2018. 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-NC-ND 4.0 International license. Translational regulation of Syngap1 by FMRP modulates NMDAR mediated signalling Abhik Paul1#, Bharti Nawalpuri2#, Shruthi Sateesh1, Ravi S Muddashetty2, James P Clement1* 1 Neuroscience Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bangalore 560064. India Phone: +91-80-22082613 2 The Institute for Stem Cell Biology and Regenerative Medicine, GKVK post, Bellary Road, Bangalore 560065. India # Equal contribution * Corresponding author: Email: [email protected] Phone: +91-80-22082613 Number of Pages: 34 including figures Number of Figure: 5 main and 4 extended Figures Number of words for: Abstract:157 Introduction: 452 Discussion: 854 Conflict of Interest: The authors declare no competing financial interests Acknowledgement: This work was supported by grants to JPC by DST-SERB (SB/YS/LS- 215/2013), and to RSM in part, by Dept. of Biotechnology, India (BT/PR8723/AGR/36/776/2013, and BT/IN/Denmark/07/RSM/2015-2016), and intramural funds from both the Institutes. We thank Bhavana Kayyar, Utsa Bhaduri, and Vijay Kumar M J for technical support in our bioinformatics analysis, and Sudhriti Ghosh Dastidar for technical advice on Figure 4. Further, we thank Dr Ravi Manjithaya and his group, and Prof. Kaustuv Sanyal’s group for technical assistance. We also thank Prof MRS Rao, Prof Tapas K Kundu, 1 bioRxiv preprint doi: https://doi.org/10.1101/345058; this version posted June 26, 2018. -
Role of MALAT1 in Gynecological Cancers: Pathologic and Therapeutic Aspects (Review)
ONCOLOGY LETTERS 21: 333, 2021 Role of MALAT1 in gynecological cancers: Pathologic and therapeutic aspects (Review) FENG‑HUA QIAO1, MIN TU2 and HONG‑YAN LIU3 Departments of 1Gynecology and 2Orthopedics, Second People's Hospital of Jingmen; 3Department of Gynecology, Maternal and Child Health Hospital of Jingmen, Jingmen, Hubei 448000, P.R. China Received June 28, 2020; Accepted February 2, 2021 DOI: 10.3892/ol.2021.12594 Abstract. Gynecological cancers, including breast, ovarian, 5. Targeting MALAT1 in gynecological cancer therapeutics uterine, vaginal, cervical and vulvar cancers are among the 6. Future research major threats to modern life, particularly to female health. 7. Conclusions Long non‑coding RNAs (lncRNAs) play critical roles in normal development of organisms, as well as the tumorigenesis process, and metastasis‑associated lung adenocarcinoma tran‑ 1. Introduction script 1 (MALAT1) is a large infrequently spliced lncRNA, which have been implicated in different gynecological cancers. Gynecologic cancer is any cancer of the female reproduc‑ MALAT1 is overexpressed in breast, ovarian, cervical and tive organs, including ovarian, uterine, vaginal, cervical and endometrial cancers, which initiates cancer progression by vulvar cancers. Generally, all women are at risk of devel‑ inducing changes in the expression of several anti‑apoptotic oping gynecological cancers, and risk increases with age (1). and epithelial‑to‑mesenchymal transition‑related genes. Each gynecologic cancer is unique, with different signs and Targeting MALAT1 is an important strategy to combat symptoms, different risk factors and different therapeutic strat‑ gynecological cancers, and application of RNA‑interference egies (2,3). Gynecological cancers are associated with high technology and chemotherapeutic process are crucial to target mortality rates worldwide as it is difficult to detect the cancers and minimize MALAT1 activity. -
Nucleus Size and DNA Accessibility Are Linked to the Regulation Of
Grosch et al. BMC Biology (2020) 18:42 https://doi.org/10.1186/s12915-020-00770-y RESEARCH ARTICLE Open Access Nucleus size and DNA accessibility are linked to the regulation of paraspeckle formation in cellular differentiation Markus Grosch1, Sebastian Ittermann1, Ejona Rusha2, Tobias Greisle1, Chaido Ori1,3, Dong-Jiunn Jeffery Truong4, Adam C. O’Neill1, Anna Pertek2, Gil Gregor Westmeyer4 and Micha Drukker1,2* Abstract Background: Many long noncoding RNAs (lncRNAs) have been implicated in general and cell type-specific molecular regulation. Here, we asked what underlies the fundamental basis for the seemingly random appearance of nuclear lncRNA condensates in cells, and we sought compounds that can promote the disintegration of lncRNA condensates in vivo. Results: As a basis for comparing lncRNAs and cellular properties among different cell types, we screened lncRNAs in human pluripotent stem cells (hPSCs) that were differentiated to an atlas of cell lineages. We found that paraspeckles, which form by aggregation of the lncRNA NEAT1, are scaled by the size of the nucleus, and that small DNA-binding molecules promote the disintegration of paraspeckles and other lncRNA condensates. Furthermore, we found that paraspeckles regulate the differentiation of hPSCs. Conclusions: Positive correlation between the size of the nucleus and the number of paraspeckles exist in numerous types of human cells. The tethering and structure of paraspeckles, as well as other lncRNAs, to the genome can be disrupted by small molecules that intercalate in DNA. The structure-function relationship of lncRNAs that regulates stem cell differentiation is likely to be determined by the dynamics of nucleus size and binding site accessibility.