NSUN2 As the Methyltransferase and ALYREF As an M5c Reader
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By Submitted in Partial Satisfaction of the Requirements for Degree of in In
Developments of Two Imaging based Technologies for Cell Biology Researches by Xiaowei Yan DISSERTATION Submitted in partial satisfaction of the requirements for degree of DOCTOR OF PHILOSOPHY in Biochemistry and Molecular Biology in the GRADUATE DIVISION of the UNIVERSITY OF CALIFORNIA, SAN FRANCISCO Approved: ______________________________________________________________________________Ronald Vale Chair ______________________________________________________________________________Jonathan Weissman ______________________________________________________________________________Orion Weiner ______________________________________________________________________________ ______________________________________________________________________________ Committee Members Copyright 2021 By Xiaowei Yan ii DEDICATION Everything happens for the best. To my family, who supported me with all their love. iii ACKNOWLEDGEMENTS The greatest joy of my PhD has been joining UCSF, working and learning with such a fantastic group of scientists. I am extremely grateful for all the support and mentorship I received and would like to thank: My mentor, Ron Vale, who is such a great and generous person. Thank you for showing me that science is so much fun and thank you for always giving me the freedom in pursuing my interest. I am grateful for all the guidance from you and thank you for always supporting me whenever I needed. You are a person full of wisdom, and I have been learning so much from you and your attitude to science, science community and even life will continue inspire me. Thank you for being my mentor and thank you for being such a great mentor. Everyone else in Vale lab, past and present, for making our lab a sweet home. I would like to give my special thank to Marvin (Marvin Tanenbaum) and Nico (Nico Stuurman), two other mentors for me in the lab. I would like to thank them for helping me adapt to our lab, for all the valuable advice and for all the happiness during the time that we work together. -
Epigenetic Mechanisms of Lncrnas Binding to Protein in Carcinogenesis
cancers Review Epigenetic Mechanisms of LncRNAs Binding to Protein in Carcinogenesis Tae-Jin Shin, Kang-Hoon Lee and Je-Yoel Cho * Department of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul 08826, Korea; [email protected] (T.-J.S.); [email protected] (K.-H.L.) * Correspondence: [email protected]; Tel.: +82-02-800-1268 Received: 21 September 2020; Accepted: 9 October 2020; Published: 11 October 2020 Simple Summary: The functional analysis of lncRNA, which has recently been investigated in various fields of biological research, is critical to understanding the delicate control of cells and the occurrence of diseases. The interaction between proteins and lncRNA, which has been found to be a major mechanism, has been reported to play an important role in cancer development and progress. This review thus organized the lncRNAs and related proteins involved in the cancer process, from carcinogenesis to metastasis and resistance to chemotherapy, to better understand cancer and to further develop new treatments for it. This will provide a new perspective on clinical cancer diagnosis, prognosis, and treatment. Abstract: Epigenetic dysregulation is an important feature for cancer initiation and progression. Long non-coding RNAs (lncRNAs) are transcripts that stably present as RNA forms with no translated protein and have lengths larger than 200 nucleotides. LncRNA can epigenetically regulate either oncogenes or tumor suppressor genes. Nowadays, the combined research of lncRNA plus protein analysis is gaining more attention. LncRNA controls gene expression directly by binding to transcription factors of target genes and indirectly by complexing with other proteins to bind to target proteins and cause protein degradation, reduced protein stability, or interference with the binding of other proteins. -
Copy Number Variation at the 7Q11.23 Segmental Duplications Is a Susceptibility Factor for the Williams-Beuren Syndrome Deletion
Downloaded from genome.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press Letter Copy number variation at the 7q11.23 segmental duplications is a susceptibility factor for the Williams-Beuren syndrome deletion Ivon Cuscó,1,2,6 Roser Corominas,1,3,6 Mònica Bayés,1,4 Raquel Flores,1 Núria Rivera-Brugués,1 Victoria Campuzano,1,2 and Luis A. Pérez-Jurado1,2,5,7 1Genetics Unit, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain; 2Center for Biomedical Research on Rare Diseases, CIBERER, Barcelona 08003 Spain; 3Research Group in Infantile Neurology and Genetic Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona 08035 Spain; 4National Genotyping Center (CEGEN), Centre for Genomic Regulation, Barcelona 08003 Spain; 5Program in Molecular Medicine and Genetics, Hospital Universitari Vall d’Hebron, Barcelona 08035 Spain Large copy number variants (CNVs) have been recently found as structural polymorphisms of the human genome of still unknown biological significance. CNVs are significantly enriched in regions with segmental duplications or low-copy repeats (LCRs). Williams-Beuren syndrome (WBS) is a neurodevelopmental disorder caused by a heterozygous deletion of contiguous genes at 7q11.23 mediated by nonallelic homologous recombination (NAHR) between large flanking LCRs and facilitated by a structural variant of the region, a ∼2-Mb paracentric inversion present in 20%–25% of WBS-transmitting progenitors. We now report that eight out of 180 (4.44%) WBS-transmitting progenitors are carriers of a CNV, displaying a chromosome with large deletion of LCRs. The prevalence of this CNV among control individuals and non-transmitting progenitors is much lower (1%, n = 600), thus indicating that it is a predisposing factor for the WBS deletion (odds ratio 4.6-fold, P = 0.002). -
Pharmacological Mechanisms Underlying the Hepatoprotective Effects of Ecliptae Herba on Hepatocellular Carcinoma
Hindawi Evidence-Based Complementary and Alternative Medicine Volume 2021, Article ID 5591402, 17 pages https://doi.org/10.1155/2021/5591402 Research Article Pharmacological Mechanisms Underlying the Hepatoprotective Effects of Ecliptae herba on Hepatocellular Carcinoma Botao Pan ,1 Wenxiu Pan ,2 Zheng Lu ,3 and Chenglai Xia 1,4 1Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, Foshan 528000, China 2Department of Laboratory, Fifth People’s Hospital of Foshan, Foshan 528000, China 3Wuzhou Maternal and Child Health-Care Hospital, Wuzhou 543000, China 4School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China Correspondence should be addressed to Zheng Lu; [email protected] and Chenglai Xia; [email protected] Received 30 January 2021; Revised 31 May 2021; Accepted 3 July 2021; Published 16 July 2021 Academic Editor: Hongcai Shang Copyright © 2021 Botao Pan et al. -is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background. -e number of hepatocellular carcinoma (HCC) cases worldwide has increased significantly. As a traditional Chinese medicine (TCM) with a long history, Ecliptae herba (EH) has been widely used in HCC patients in China, but its hepatoprotective mechanism is still unclear. Methods. In this study, we applied a network pharmacology-based strategy and experimental ver- ification to systematically unravel the underlying mechanisms of EH against HCC. First, six active ingredients of EH were screened from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) by the ADME method. Subsequently, 52 potential targets of 6 active ingredients acting on HCC were screened from various databases, including TCMSP, DGIdb, SwissTargetPrediction, CTD, and GeneCards. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Coding RNA Genes
Review A guide to naming human non-coding RNA genes Ruth L Seal1,2,* , Ling-Ling Chen3, Sam Griffiths-Jones4, Todd M Lowe5, Michael B Mathews6, Dawn O’Reilly7, Andrew J Pierce8, Peter F Stadler9,10,11,12,13, Igor Ulitsky14 , Sandra L Wolin15 & Elspeth A Bruford1,2 Abstract working on non-coding RNA (ncRNA) nomenclature in the mid- 1980s with the approval of initial gene symbols for mitochondrial Research on non-coding RNA (ncRNA) is a rapidly expanding field. transfer RNA (tRNA) genes. Since then, we have worked closely Providing an official gene symbol and name to ncRNA genes brings with experts in the ncRNA field to develop symbols for many dif- order to otherwise potential chaos as it allows unambiguous ferent kinds of ncRNA genes. communication about each gene. The HUGO Gene Nomenclature The number of genes that the HGNC has named per ncRNA class Committee (HGNC, www.genenames.org) is the only group with is shown in Fig 1, and ranges in number from over 4,500 long the authority to approve symbols for human genes. The HGNC ncRNA (lncRNA) genes and over 1,900 microRNA genes, to just four works with specialist advisors for different classes of ncRNA to genes in the vault and Y RNA classes. Every gene symbol has a ensure that ncRNA nomenclature is accurate and informative, Symbol Report on our website, www.genenames.org, which where possible. Here, we review each major class of ncRNA that is displays the gene symbol, gene name, chromosomal location and currently annotated in the human genome and describe how each also includes links to key resources such as Ensembl (Zerbino et al, class is assigned a standardised nomenclature. -
Long Non-Coding RNA Lncshgl Recruits Hnrnpa1 to Suppress Hepatic Gluconeogenesis and Lipogenesis
Page 1 of 60 Diabetes Long non-coding RNA LncSHGL recruits hnRNPA1 to suppress hepatic gluconeogenesis and lipogenesis Junpei Wang1,2#, Weili Yang1,2#, Zhenzhen Chen1, Ji Chen1, Yuhong Meng1, Biaoqi Feng1, Libo Sun3, Lin Dou4, Jian Li4, Qinghua Cui2*, Jichun Yang1* 1Department of Physiology and Pathophysiology, School of Basic Medical Sciences Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education Center for Non-coding RNA Medicine Peking University Health Science Center Beijing 100191, China 2Department of Biomedical Informatics, School of Basic Medical Sciences Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Center for Non-coding RNA Medicine Peking University Health Science Center, Beijing 100191, China 3Beijing You An Hospital,Capital Medical University, Beijing 100069, China 4Key Laboratory of Geriatrics, Beijing Institute of Geriatrics & Beijing Hospital, Ministry of Health, Beijing 100730, China #These authors contributed equally to this work *Correspondence to: Jichun Yang, Ph.D. Department of Physiology and Pathophysiology, School of Basic Medical Sciences Peking University Health Science Center, Beijing 100191, China Email: [email protected]; Tel: (+86) 10-82801403 Or to: Qinghua Cui, Ph.D. Department of Biomedical Informatics, School of Basic Medical Sciences Peking University Health Science Center, Beijing 100191, China Email:[email protected]; Tel:(+86)10-82801585 1 Diabetes Publish Ahead of Print, published online January 30, 2018 Diabetes Page 2 of 60 Abstract Mammalian genomes encode a huge number of LncRNAs with unknown functions. This study determined the role and mechanism of a new LncRNA, LncRNA Suppressor of Hepatic Gluconeogenesis and Lipogenesis (LncSHGL), in regulating hepatic glucose/lipid metabolism. -
The Role of Natural Selection in Human Evolution – Insights from Latin America
Genetics and Molecular Biology, 39, 3, 302-311 (2016) Copyright © 2016, Sociedade Brasileira de Genética. Printed in Brazil DOI: http://dx.doi.org/10.1590/1678-4685-GMB-2016-0020 Review Article The role of natural selection in human evolution – insights from Latin America Francisco M. Salzano1 1Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil. Abstract A brief introduction considering Darwin’s work, the evolutionary synthesis, and the scientific biological field around the 1970s and subsequently, with the molecular revolution, was followed by selected examples of recent investiga- tions dealing with the selection-drift controversy. The studies surveyed included the comparison between essential genes in humans and mice, selection in Africa and Europe, and the possible reasons why females in humans remain healthy and productive after menopause, in contrast with what happens in the great apes. At the end, selected exam- ples of investigations performed in Latin America, related to the action of selection for muscle performance, acetylation of xenobiotics, high altitude and tropical forest adaptations were considered. Despite dissenting views, the influence of positive selection in a considerable portion of the human genome cannot presently be dismissed. Keywords: natural selection, human evolution, population genetics, human adaptation, history of genetics. Received: February 10, 2016; Accepted: May 8, 2016. History deniably indicated that we had derived from -
Co-Transcriptional Loading of RNA Export Factors Shapes the Human Transcriptome
bioRxiv preprint doi: https://doi.org/10.1101/318709; this version posted May 10, 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. Title: Co-transcriptional loading of RNA export factors shapes the human transcriptome. Authors: Nicolas Viphakone1,$,*, Ian SudBery1,$, Catherine G. Heath1, David Sims2, Stuart A. Wilson1,*,# 1 Sheffield Institute For Nucleic Acids (SInFoNiA) and Department of Molecular Biology and Biotechnology, The University of Sheffield, Firth Court, Western Bank, Sheffield, UK. 2 MRC Computational Genomics Analysis and Training Programme (CGAT), MRC Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Headington, Oxford, OX3 9DS. $ Co-first author * Correspondence: [email protected], [email protected] # Lead contact Orcid Ids: N. Viphakone - 0000-0001-8219-837X, S. A. Wilson - 0000-0003-3073-258X, I. SudBery, 0000-0002-5038-0190 Key words: Nucleo-cytoplasmic transport, TREX, EJC, co-transcriptional splicing, alternative polyadenylation. 1 bioRxiv preprint doi: https://doi.org/10.1101/318709; this version posted May 10, 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. ABSTRACT During gene expression, RNA export factors are mainly known for driving nucleocytoplasmic transport. Whilst early studies suggested that the Exon Junction Complex provides a binding platform for them, suBsequent work proposed that they are only recruited By the Cap-Binding Complex to the 5’ end of RNAs, as part of TREX. -
44056 NSUN2 Antibody
Revision 1 C 0 2 - t NSUN2 Antibody a e r o t S Orders: 877-616-CELL (2355) [email protected] 6 Support: 877-678-TECH (8324) 5 0 Web: [email protected] 4 www.cellsignal.com 4 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source: UniProt ID: Entrez-Gene Id: WB, IP H M R Mk Endogenous 100 Rabbit Q08J23 54888 Product Usage Information 2. Bohnsack, K.E. et al. (2019) Genes (Basel) 10, pii: E102. doi: 10.3390/genes10020102. Application Dilution 3. Bourgeois, G. et al. (2015) PLoS One 10, e0133321. 4. Brzezicha, B. et al. (2006) Nucleic Acids Res 34, 6034-43. Western Blotting 1:1000 5. Tuorto, F. et al. (2012) Nat Struct Mol Biol 19, 900-5. Immunoprecipitation 1:50 6. Tang, H. et al. (2015) Aging (Albany NY) 7, 1143-58. 7. Xing, J. et al. (2015) Mol Cell Biol 35, 4043-52. 8. Hussain, S. et al. (2013) Cell Rep 4, 255-61. Storage 9. Okamoto, M. et al. (2012) DNA Cell Biol 31, 660-71. Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA and 50% 10. Sakita-Suto, S. et al. (2007) Mol Biol Cell 18, 1107-17. glycerol. Store at –20°C. Do not aliquot the antibody. Specificity / Sensitivity NSUN2 Antibody recognizes endogenous levels of total NSUN2 protein. Species Reactivity: Human, Mouse, Rat, Monkey Source / Purification Polyclonal antibodies are produced by immunizing animals with a synthetic peptide corresponding to residues surrounding Val690 of human NSUN2 protein. -
A Mouse Model for Intellectual Disability Caused by Mutations in the X-Linked 2′‑O‑Methyltransferase Ftsj1 Gene
Accepted Manuscript A mouse model for intellectual disability caused by mutations in the X-linked 2′'O'methyltransferase Ftsj1 gene Lars R. Jensen, Lillian Garrett, Sabine M. Hölter, Birgit Rathkolb, Ildikó Rácz, Thure Adler, Cornelia Prehn, Wolfgang Hans, Jan Rozman, Lore Becker, Juan Antonio Aguilar-Pimentel, Oliver Puk, Kristin Moreth, Monika Dopatka, Diego J. Walther, Viola von Bohlen und Halbach, Matthias Rath, Martin Delatycki, Bettina Bert, Heidrun Fink, Katharina Blümlein, Markus Ralser, Anke Van Dijck, Frank Kooy, Zornitza Stark, Sabine Müller, Harry Scherthan, Jozef Gecz, Wolfgang Wurst, Eckhard Wolf, Andreas Zimmer, Martin Klingenspor, Jochen Graw, Thomas Klopstock, Dirk Busch, Jerzy Adamski, Helmut Fuchs, Valérie Gailus-Durner, Martin Hrabě de Angelis, Oliver von Bohlen und Halbach, Hans-Hilger Ropers, Andreas W. Kuss PII: S0925-4439(18)30497-6 DOI: https://doi.org/10.1016/j.bbadis.2018.12.011 Reference: BBADIS 65360 To appear in: BBA - Molecular Basis of Disease Received date: 6 July 2018 Revised date: 6 December 2018 Accepted date: 10 December 2018 Please cite this article as: Lars R. Jensen, Lillian Garrett, Sabine M. Hölter, Birgit Rathkolb, Ildikó Rácz, Thure Adler, Cornelia Prehn, Wolfgang Hans, Jan Rozman, Lore Becker, Juan Antonio Aguilar-Pimentel, Oliver Puk, Kristin Moreth, Monika Dopatka, Diego J. Walther, Viola von Bohlen und Halbach, Matthias Rath, Martin Delatycki, Bettina Bert, Heidrun Fink, Katharina Blümlein, Markus Ralser, Anke Van Dijck, Frank Kooy, Zornitza Stark, Sabine Müller, Harry Scherthan, Jozef Gecz, Wolfgang Wurst, Eckhard Wolf, Andreas Zimmer, Martin Klingenspor, Jochen Graw, Thomas Klopstock, Dirk Busch, Jerzy Adamski, Helmut Fuchs, Valérie Gailus-Durner, Martin Hrabě de Angelis, Oliver von Bohlen und Halbach, Hans-Hilger Ropers, Andreas W. -
Long Non-Coding RNA Epigenetics
International Journal of Molecular Sciences Review Long Non-Coding RNA Epigenetics Marek Kazimierczyk and Jan Wrzesinski * Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Pozna´n,Poland; [email protected] * Correspondence: [email protected] Abstract: Long noncoding RNAs exceeding a length of 200 nucleotides play an important role in ensuring cell functions and proper organism development by interacting with cellular compounds such as miRNA, mRNA, DNA and proteins. However, there is an additional level of lncRNA regulation, called lncRNA epigenetics, in gene expression control. In this review, we describe the most common modified nucleosides found in lncRNA, 6-methyladenosine, 5-methylcytidine, pseudouridine and inosine. The biosynthetic pathways of these nucleosides modified by the writer, eraser and reader enzymes are important to understanding these processes. The characteristics of the individual methylases, pseudouridine synthases and adenine–inosine editing enzymes and the methods of lncRNA epigenetics for the detection of modified nucleosides, as well as the advantages and disadvantages of these methods, are discussed in detail. The final sections are devoted to the role of modifications in the most abundant lncRNAs and their functions in pathogenic processes. Keywords: lncRNA epigenetics; RNA modyfiing enzymes; detection modified nucleotides 1. General Remarks Citation: Kazimierczyk, M.; Although almost 80% of the human genome has been transcribed, only 2% of it Wrzesinski, J. Long Non-Coding RNA (mRNA) codes proteins [1,2]. All of the remaining RNAs belong to a vast group of noncod- Epigenetics. Int. J. Mol. Sci. 2021, 22, ing RNAs (ncRNAs). Based on their functions, ncRNAs can be classified as housekeeping 6166.