Long Non-Coding RNA Lncshgl Recruits Hnrnpa1 to Suppress Hepatic Gluconeogenesis and Lipogenesis
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Lineage-Specific Evolution of the Vertebrate Otopetrin Gene Family Revealed by Comparative Genomic Analyses
Hurle et al. BMC Evolutionary Biology 2011, 11:23 http://www.biomedcentral.com/1471-2148/11/23 RESEARCHARTICLE Open Access Lineage-specific evolution of the vertebrate Otopetrin gene family revealed by comparative genomic analyses Belen Hurle1, Tomas Marques-Bonet2,3, Francesca Antonacci3, Inna Hughes4, Joseph F Ryan1, NISC Comparative Sequencing Program1,5, Evan E Eichler3, David M Ornitz6, Eric D Green1,5* Abstract Background: Mutations in the Otopetrin 1 gene (Otop1) in mice and fish produce an unusual bilateral vestibular pathology that involves the absence of otoconia without hearing impairment. The encoded protein, Otop1, is the only functionally characterized member of the Otopetrin Domain Protein (ODP) family; the extended sequence and structural preservation of ODP proteins in metazoans suggest a conserved functional role. Here, we use the tools of sequence- and cytogenetic-based comparative genomics to study the Otop1 and the Otop2-Otop3 genes and to establish their genomic context in 25 vertebrates. We extend our evolutionary study to include the gene mutated in Usher syndrome (USH) subtype 1G (Ush1g), both because of the head-to-tail clustering of Ush1g with Otop2 and because Otop1 and Ush1g mutations result in inner ear phenotypes. Results: We established that OTOP1 is the boundary gene of an inversion polymorphism on human chromosome 4p16 that originated in the common human-chimpanzee lineage more than 6 million years ago. Other lineage- specific evolutionary events included a three-fold expansion of the Otop genes in Xenopus tropicalis and of Ush1g in teleostei fish. The tight physical linkage between Otop2 and Ush1g is conserved in all vertebrates. -
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. -
Relevance Network Between Chemosensitivity and Transcriptome in Human Hepatoma Cells1
Vol. 2, 199–205, February 2003 Molecular Cancer Therapeutics 199 Relevance Network between Chemosensitivity and Transcriptome in Human Hepatoma Cells1 Masaru Moriyama,2 Yujin Hoshida, topoisomerase II  expression, whereas it negatively Motoyuki Otsuka, ShinIchiro Nishimura, Naoya Kato, correlated with expression of carboxypeptidases A3 Tadashi Goto, Hiroyoshi Taniguchi, and Z. Response to nimustine was associated with Yasushi Shiratori, Naohiko Seki, and Masao Omata expression of superoxide dismutase 2. Department of Gastroenterology, Graduate School of Medicine, Relevance networks identified several negative University of Tokyo, Tokyo 113-8655 [M. M., Y. H., M. O., N. K., T. G., H. T., Y. S., M. O.]; Cellular Informatics Team, Computational Biology correlations between gene expression and resistance, Research Center, Tokyo 135-0064 [S. N.]; and Department of which were missed by hierarchical clustering. Our Functional Genomics, Graduate School of Medicine, Chiba University, results suggested the necessity of systematically Chiba 260-8670 [N. S.], Japan evaluating the transporting systems that may play a major role in resistance in hepatoma. This may provide Abstract useful information to modify anticancer drug action in Generally, hepatoma is not a chemosensitive tumor, hepatoma. and the mechanism of resistance to anticancer drugs is not fully elucidated. We aimed to comprehensively Introduction evaluate the relationship between chemosensitivity and Hepatoma is a major cause of death even in developed gene expression profile in human hepatoma cells, by countries, and its incidence is increasing (1). Despite the using microarray analysis, and analyze the data by progress of therapeutic technique (2), the efficacy of radical constructing relevance networks. therapy is hampered by frequent recurrence and advance of In eight hepatoma cell lines (HLE, HLF, Huh7, Hep3B, the tumor (3). -
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. -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
NSUN2 As the Methyltransferase and ALYREF As an M5c Reader
Cell Research (2017) 27:606-625. ORIGINAL ARTICLE www.nature.com/cr 5-methylcytosine promotes mRNA export — NSUN2 as the methyltransferase and ALYREF as an m5C reader Xin Yang1, 2, 3, *, Ying Yang2, *, Bao-Fa Sun2, *, Yu-Sheng Chen2, 3, *, Jia-Wei Xu1, 2, *, Wei-Yi Lai3, 4, *, Ang Li2, 3, Xing Wang2, 5, Devi Prasad Bhattarai2, 3, Wen Xiao2, Hui-Ying Sun2, Qin Zhu2, 3, Hai-Li Ma2, 3, Samir Adhikari2, Min Sun2, Ya-Juan Hao2, Bing Zhang2, Chun-Min Huang2, Niu Huang6, Gui-Bin Jiang4, Yong-Liang Zhao2, Hai-Lin Wang4, Ying-Pu Sun1, Yun-Gui Yang2, 3 1Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China; 2Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; 3School of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China; 4State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; 5Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; 6National Institute of Biological Sciences, Beijing 102206, China 5-methylcytosine (m5C) is a post-transcriptional RNA modification identified in both stable and highly abundant tRNAs and rRNAs, and in mRNAs. However, its regulatory role in mRNA metabolism is still largely unknown. Here, we reveal that m5C modification is enriched in CG-rich regions and in regions immediately downstream of trans- lation initiation sites and has conserved, tissue-specific and dynamic features across mammalian transcriptomes. -
Suppression of the Peripheral Immune System Limits the Central Immune Response Following Cuprizone-Feeding: Relevance to Modelling Multiple Sclerosis
cells Article Suppression of the Peripheral Immune System Limits the Central Immune Response Following Cuprizone-Feeding: Relevance to Modelling Multiple Sclerosis Monokesh K. Sen 1 , Mohammed S. M. Almuslehi 1,2, Erika Gyengesi 1, Simon J. Myers 3, Peter J. Shortland 3, David A. Mahns 1,* and Jens R. Coorssen 4,* 1 School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia; [email protected] (M.K.S.); [email protected] (M.S.M.A.); [email protected] (E.G.) 2 Department of Physiology, College of Veterinary Medicine, Diyala University, Diyala, Iraq 3 School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia; [email protected] (S.J.M.); [email protected] (P.J.S.) 4 Department of Health Sciences, Faculty of Applied Health Sciences, and Department of Biological Sciences, Faculty of Mathematics and Science, Brock University, St. Catharines, Ontario, ON L2S 3A1, Canada * Correspondence: [email protected] (D.A.M.); [email protected] (J.R.C.); Tel.: +02-4620-3784 (D.A.M.); +905-688-5550 (J.R.C.) Received: 6 September 2019; Accepted: 18 October 2019; Published: 24 October 2019 Abstract: Cuprizone (CPZ) preferentially affects oligodendrocytes (OLG), resulting in demyelination. To investigate whether central oligodendrocytosis and gliosis triggered an adaptive immune response, the impact of combining a standard (0.2%) or low (0.1%) dose of ingested CPZ with disruption of the blood brain barrier (BBB), using pertussis toxin (PT), was assessed in mice. 0.2% CPZ( PT) for ± 5 weeks produced oligodendrocytosis, demyelination and gliosis plus marked splenic atrophy (37%) and reduced levels of CD4 (44%) and CD8 (61%). -
Genetic and Genomics Laboratory Tools and Approaches
Genetic and Genomics Laboratory Tools and Approaches Meredith Yeager, PhD Cancer Genomics Research Laboratory Division of Cancer Epidemiology and Genetics [email protected] DCEG Radiation Epidemiology and Dosimetry Course 2019 www.dceg.cancer.gov/RadEpiCourse (Recent) history of genetics 2 Sequencing of the Human Genome Science 291, 1304-1351 (2001) 3 The Human Genome – 2019 • ~3.3 billion bases (A, C, G, T) • ~20,000 protein-coding genes, many non-coding RNAs (~2% of the genome) • Annotation ongoing – the initial sequencing in 2001 is still being refined, assembled and annotated, even now – hg38 • Variation (polymorphism) present within humans – Population-specific – Cosmopolitan 4 Types of polymorphisms . Single nucleotide polymorphisms (SNPs) . Common SNPs are defined as > 5% in at least one population . Abundant in genome (~50 million and counting) ATGGAACGA(G/C)AGGATA(T/A)TACGCACTATGAAG(C/A)CGGTGAGAGG . Repeats of DNA (long, short, complex, simple), insertions/deletions . A small fraction of SNPs and other types of variation are very or slightly deleterious and may contribute by themselves or with other genetic or environmental factors to a phenotype or disease 5 Different mutation rates at the nucleotide level Mutation type Mutation rate (per generation) Transition on a CpG 1.6X10-7 Transversion on a CpG 4.4X10-8 Transition: purine to purine Transition out of CpG 1.2X10-8 Transversion: purine to pyrimidine Transversion out of CpG 5.5X10-9 Substitution (average) 2.3X10-8 A and G are purines Insertion/deletion (average) 2.3X10-9 C and T are pyrimidines Mutation rate (average) 2.4X10-8 . Size of haploid genome : 3.3X109 nucleotides . -
Exome Sequencing of 457 Autism Families Recruited Online Provides Evidence for Autism Risk Genes
www.nature.com/npjgenmed ARTICLE OPEN Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes Pamela Feliciano1, Xueya Zhou 2, Irina Astrovskaya 1, Tychele N. Turner 3, Tianyun Wang3, Leo Brueggeman4, Rebecca Barnard5, Alexander Hsieh 2, LeeAnne Green Snyder1, Donna M. Muzny6, Aniko Sabo6, The SPARK Consortium, Richard A. Gibbs6, Evan E. Eichler 3,7, Brian J. O’Roak 5, Jacob J. Michaelson 4, Natalia Volfovsky1, Yufeng Shen 2 and Wendy K. Chung1,8 Autism spectrum disorder (ASD) is a genetically heterogeneous condition, caused by a combination of rare de novo and inherited variants as well as common variants in at least several hundred genes. However, significantly larger sample sizes are needed to identify the complete set of genetic risk factors. We conducted a pilot study for SPARK (SPARKForAutism.org) of 457 families with ASD, all consented online. Whole exome sequencing (WES) and genotyping data were generated for each family using DNA from saliva. We identified variants in genes and loci that are clinically recognized causes or significant contributors to ASD in 10.4% of families without previous genetic findings. In addition, we identified variants that are possibly associated with ASD in an additional 3.4% of families. A meta-analysis using the TADA framework at a false discovery rate (FDR) of 0.1 provides statistical support for 26 ASD risk genes. While most of these genes are already known ASD risk genes, BRSK2 has the strongest statistical support and reaches genome-wide significance as a risk gene for ASD (p-value = 2.3e−06). -
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.