Differentially Expressed Transcripts and Comparisons Between Ages
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Final Copy 2018 09 25 Gaunt
This electronic thesis or dissertation has been downloaded from Explore Bristol Research, http://research-information.bristol.ac.uk Author: Gaunt, Jess Title: A Viral Approach to Translatome Profiling of CA1 Neurons During Associative Recognition Memory Formation General rights Access to the thesis is subject to the Creative Commons Attribution - NonCommercial-No Derivatives 4.0 International Public License. A copy of this may be found at https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode This license sets out your rights and the restrictions that apply to your access to the thesis so it is important you read this before proceeding. Take down policy Some pages of this thesis may have been removed for copyright restrictions prior to having it been deposited in Explore Bristol Research. However, if you have discovered material within the thesis that you consider to be unlawful e.g. breaches of copyright (either yours or that of a third party) or any other law, including but not limited to those relating to patent, trademark, confidentiality, data protection, obscenity, defamation, libel, then please contact [email protected] and include the following information in your message: •Your contact details •Bibliographic details for the item, including a URL •An outline nature of the complaint Your claim will be investigated and, where appropriate, the item in question will be removed from public view as soon as possible. A Viral Approach to Translatome Profiling of CA1 Neurons During Associative Recognition Memory Formation Jessica Ruth Gaunt A dissertation submitted to the University of Bristol in accordance with the requirements for award of the degree of Doctor of Philosophy in the Faculty of Health Sciences, Bristol Medical School. -
Integrated Bioinformatic Analysis of RNA Binding Proteins in Hepatocellular Carcinoma
www.aging-us.com AGING 2021, Vol. 13, No. 2 Research Paper Integrated bioinformatic analysis of RNA binding proteins in hepatocellular carcinoma Ling Wang1,*, Zhen Zhang2,3,*, Yuan Li1, Yanyan Wan1, Baocai Xing1,& 1Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Hepatopancreatobiliary Surgery Department I, Peking University Cancer Hospital and Institute, Beijing 100142, China 2Department of Gastroenterological Surgery, Peking University People’s Hospital, Beijing 100044, China 3Laboratory of Surgical Oncology, Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Peking University People’s Hospital, Beijing 100044, China *Equal contribution Correspondence to: Baocai Xing; email: [email protected] Keywords: RNA binding protein, hepatocellular carcinoma, biomarker, transcriptomics, proteomics Received: June 8, 2020 Accepted: November 3, 2020 Published: December 19, 2020 Copyright: © 2020 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT RNA binding proteins (RBPs) are aberrantly expressed in a tissue-specific manner across many tumors. These proteins, which play a vital role in post-transcriptional gene regulation, are involved in RNA splicing, maturation, transport, stability, degradation, and translation. We set out to establish an accurate risk score model based on RBPs to estimate prognosis in hepatocellular carcinoma (HCC). RNA-sequencing data, proteomic data and corresponding clinical information were acquired from the Cancer Genome Atlas database and the Clinical Proteomic Tumor Analysis Consortium database respectively. We identified 406 differentially expressed RBPs between HCC tumor and normal tissues at the transcriptional and protein level. -
Supplementary Figure 1
Supplementary Table 1 siRNA Oligonucleotide Sequences not Used for IGFBP-3 Knockdown siRNA Sequence nucleotides Source GCUACAAAGUUGACUACGA 686-704 ON-TARGET Plus SMART pool sequences GAAAUGCUAGUGAGUCGGA 536-554 ON-TARGET Plus SMART pool sequences GCACAGAUACCCAGAACUU 713-731 ON-TARGET Plus SMART pool sequences GAAUAUGGUCCCUGCCGUA 757-775 ON-TARGET Plus SMART pool sequences UAUCGAGAAUAGGAAAACC 1427-1445 siDESIGN center GCAGCCUCUCCCAGGCUACA 940-958 siDESIGN center GCAUAAGCUCUUUAAAGGCA 1895-1913 siDESIGN center UGCCUGGAUUCCACAGCUU 44-62 siDESIGN center AAGCAGCGTGCCCCGGUUG 106-124 siDESIGN center AAAGGCAAAGCUUUAUUUU 1908-1926 siDESIGN center Oligonucleotide sequences used for siRNA oligonucleotides tested to induce IGFBP-3 knockdown. Sequences 1-4 were from ON-TARGET Plus SMART pool sequences (Cat. # L-004777-00-0005, Dharmacon, Lafayette, CO). Sequences 5-10 were generated in our laboratory using the siDESIGN center from the Dharmacon website (www.dharmacon.com) by inputting the Genbank accession number NM_000598 (IGFBP-3). Supplementary Table 2 Transcripts Activated by NKX3.1 in PC-3 Cells PC-3 cells were stably transfected with the pcDNA3.1 empty vector or NKX3.1 expression vector and mRNA from two clones of each cell type was isolated for microarray analysis on the Affymetrix U-133 expression array. Analyses of results from each pair of clones of the same genotype that did not match up were discarded to ensure clonal variation was not a factor. 984 genes were found to be up- or down-regulated more that 1.4 fold in the NKX3.1 expressing PC-3 cells, in comparison to the PC-3 control cells. The 6th and 9th most activated probe sets were for human growth hormone-dependent insulin-like growth factor-binding protein, now known as IGFBP-3. -
Predicting Clinical Response to Treatment with a Soluble Tnf-Antagonist Or Tnf, Or a Tnf Receptor Agonist
(19) TZZ _ __T (11) EP 2 192 197 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 02.06.2010 Bulletin 2010/22 C12Q 1/68 (2006.01) (21) Application number: 08170119.5 (22) Date of filing: 27.11.2008 (84) Designated Contracting States: (72) Inventor: The designation of the inventor has not AT BE BG CH CY CZ DE DK EE ES FI FR GB GR yet been filed HR HU IE IS IT LI LT LU LV MC MT NL NO PL PT RO SE SI SK TR (74) Representative: Habets, Winand Designated Extension States: Life Science Patents AL BA MK RS PO Box 5096 6130 PB Sittard (NL) (71) Applicant: Vereniging voor Christelijk Hoger Onderwijs, Wetenschappelijk Onderzoek en Patiëntenzorg 1081 HV Amsterdam (NL) (54) Predicting clinical response to treatment with a soluble tnf-antagonist or tnf, or a tnf receptor agonist (57) The invention relates to methods for predicting a clinical response to a therapy with a soluble TNF antagonist, TNF or a TNF receptor agonist and a kit for use in said methods. EP 2 192 197 A1 Printed by Jouve, 75001 PARIS (FR) EP 2 192 197 A1 Description [0001] The invention relates to methods for predicting a clinical response to a treatment with a soluble TNF antagonist, with TNF or a TNF receptor agonist using expression levels of genes of the Type I INF pathway and a kit for use in said 5 methods. In another aspect, the invention relates to a method for evaluating a pharmacological effect of a treatment with a soluble TNF antagonist, TNF or a TNF receptor agonist. -
Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery
Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Duygu Ucar Graduate Program in Computer Science and Engineering The Ohio State University 2009 Dissertation Committee: Srinivasan Parthasarathy, Advisor Yusu Wang Umit Catalyurek c Copyright by Duygu Ucar 2009 ABSTRACT Many biological datasets can be effectively modeled as interaction networks where nodes represent biological entities of interest such as proteins, genes, or complexes and edges mimic associations among them. The study of these biological network structures can provide insight into many biological questions including the functional characterization of genes and gene products, the characterization of DNA-protein bindings, and the under- standing of regulatory mechanisms. Therefore, the task of constructing biological interac- tion networks from raw data sets and exploiting information from these networks is critical, but is also fraught with challenges. First, the network structure is not always known in a priori; the structure should be inferred from raw and heterogeneous biological data sources. Second, biological networks are noisy (containing unreliable interactions) and incomplete (missing real interactions) which makes the task of extracting useful information difficult. Third, typically these networks have non-trivial topological properties (e.g., uneven degree distribution, small world) that limit the effectiveness of traditional knowledge discovery al- gorithms. Fourth, these networks are usually dynamic and investigation of their dynamics is essential to understand the underlying biological system. In this thesis, we address these issues by presenting a set of computational techniques that we developed to construct and analyze three specific types of biological interaction networks: protein-protein interaction networks, gene co-expression networks, and regulatory networks. -
Rrna Types in Zebrafish Development
UvA-DARE (Digital Academic Repository) Distinct maternal and somatic rRNA types in zebrafish development Locati, M. Publication date 2017 Document Version Final published version License Other Link to publication Citation for published version (APA): Locati, M. (2017). Distinct maternal and somatic rRNA types in zebrafish development. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:04 Oct 2021 DISTINCT MATERNAL AND SOMATIC rRNA TYPES IN ZEBRAFISH DEVELOPMENT MAURO LOCATI DISTINCT MATERNAL AND SOMATIC rRNA TYPES IN ZEBRAFISH DEVELOPMENT MAURO LOCATI Distinct Maternal and Somatic rRNA Types in Zebrafish Development ACADEMISCH PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Universiteit van Amsterdam op gezag van de Rector Magnificus prof. dr. ir. K.I.J. Maex ten overstaan van een door het College voor Promoties ingestelde commissie, in het openbaar te verdedigen in de Aula der Universiteit op woensdag 6 december 2017, te 13:00 uur door Mauro Locati geboren te Palermo, Italië Promotiecommissie: Promotor: Prof. -
Intersections Spring Symposium
INTERSECTIONS SPRING SYMPOSIUM APRIL TH, 8 Last Name First Name Project Title Page Analyzing the Effect of Urbanization on Abboud Bissan Phylogenetic signal in the Species Columba 1 Abouzahra Sharifah Peripheral IV Catheter Sterilization Device 2 Development of a Liquid Crystal Based Electron Adkins Raymond Shower Detector 2 Purification of Secreted Protein, Acidic and Rich in Cysteine (SPARC) Implicated for its Effects on Al Bahrani Zaid Intraocular Pressure 3 A Window into Metabolite Changes of Live Aljawad Yaqeen Bacteria Following Drug Infusion 3 Anderson Emily In-situ Resource Utilization on Mars 4 The Relationship Between Subjective and Objective Language Assessments For Second- Arredondo Kaitlynn Language Learners 4 Atkinson Scott MotionSense Wave: Toucheless Faucet 5 Ayyar Aneeka Hand Tremor Reduction Device 6 Modifying Low-Emissivity Glass for Use with Bailey Jessica Surface Enhanced Raman Spectroscopy 5 Automated Segmentation and Radiomic Characterization of Visceral Fat on Bowel MRIs for Barbur Iulia Crohn's Disease 6 Periodic Liquid Crystal Order: Theory and Barnaby Gavin-Rae Simulations 7 The Role of Dentistry in the U.S. Opioid Epidemic: Basore Makenna A Literature Review 7 Berends Hannah A Leader’s Role in a Nation’s Stability 8 A Study on Daily Cycles in Activity Levels of Bhatia Shireen Coyotes (Canis latrans) 8 Co-creation of an Intervention with African American Older Adults to Manage Stress Blackshire Gabrielle Associated with Self-management of 9 Developing to Developed: Entrepreneurship in Blatt Noah Latin America -
Multifaceted Deregulation of Gene Expression and Protein Synthesis with Age
Multifaceted deregulation of gene expression and protein synthesis with age Aleksandra S. Anisimovaa,b,c,1, Mark B. Meersona,c, Maxim V. Gerashchenkob, Ivan V. Kulakovskiya,d,e,f,2, Sergey E. Dmitrieva,c,d,2, and Vadim N. Gladyshevb,2 aBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia; bDivision of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115; cFaculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow 119234, Russia; dEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia; eVavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia; and fInstitute of Protein Research, Russian Academy of Sciences, Pushchino 142290, Russia Edited by Joseph D. Puglisi, Stanford University School of Medicine, Stanford, CA, and approved May 27, 2020 (received for review January 30, 2020) Protein synthesis represents a major metabolic activity of the cell. RNA polymerase I, eIF2Be, and eEF2, decrease with age in rat However, how it is affected by aging and how this in turn impacts tissues (10). Increased promoter methylation in ribosomal RNA cell function remains largely unexplored. To address this question, genes and decreased ribosomal RNA concentration during aging herein we characterized age-related changes in both the transcrip- were also reported (11). In addition, down-regulation of trans- tome and translatome of mouse tissues over the entire life span. lation with age was confirmed in vivo in the sheep (12) as well as We showed that the transcriptome changes govern those in the in replicatively aged yeast (13). -
(12) United States Patent (10) Patent No.: US 9,476,099 B2 Spinella Et Al
US009476.099B2 (12) United States Patent (10) Patent No.: US 9,476,099 B2 Spinella et al. (45) Date of Patent: Oct. 25, 2016 (54) METHOD FOR DETERMINING FOREIGN PATENT DOCUMENTS SENSTIVITY TO DECTABINE WO WO 2012/031008 A2 3, 2012 TREATMENT WO WO 2012, 11885.6 A1 9, 2012 (71) Applicant: TRUSTEES OF DARTMOUTH COLLEGE, Hanover, NH (US) OTHER PUBLICATIONS (72) Inventors: Michael Spinella, Hanover, NH (US); Tsai et al Cancer Cell. Mar. 20, 2012. 21(3):43.0-446 and Supple Maroun J. Beyrouthy, Lebanon, NH mental pages 1-18. (US) Agilent Technologies. DNA Oligo Microarray Gene Lists and Annotations, available via url: <chem.agilent.com/cag?bSp? gene (73) Assignee: Trustees of Dartmouth College, lists.asp printed on Mar. 1, 2016.* Hanover, NH (US) Abele et al. “The EORTC Early Clinical Trials Cooperative Group Experience with 5-Aza-2'-deoxycytidine (NSC 127716) in Patients (*) Notice: Subject to any disclaimer, the term of this with Colo-rectal, Head and Neck, Renal Carcinomas and Malignant patent is extended or adjusted under 35 Melanomas' European Journal of Cancer and Clinical Oncology U.S.C. 154(b) by 0 days. 1987 23(12): 1921-1924. Adewumi et al. “Characterization of Human Embryonic Stem Cell (21) Appl. No.: 14/416,142 Lines by the International StemCell Initiative” Nature Biotechnol ogy 2007 vol. 25(7):803-816. (22) PCT Filed: Jul. 31, 2013 Al-Hajj et al. "Prospective Identification of Tumorigenic Breast Cancer Cells' Proceedings of the National Academy of Sciences (86). PCT No.: PCT/US2013/052899 2003 100(7):3983-3988 with correction. -
This Thesis Has Been Submitted in Fulfilment of the Requirements for a Postgraduate Degree (E.G
This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: • This work is protected by copyright and other intellectual property rights, which are retained by the thesis author, unless otherwise stated. • A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. • This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the author. • The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the author. • When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given. Regulation and Function of miR-199-3p in Murine and Human Cytomegalovirus Infections Nouf N. M. Laqtom s0898296 A thesis submitted in fulfilment of requirements for the degree of Doctor of Philosophy Division of Pathway Medicine, School of Biomedical Sciences The University of Edinburgh May 2013 Supervisors: Dr. Amy Buck and Dr. Bernadette Dutia i Declaration of Authorship I hereby declare that this thesis is of my own composition, and that it contains no material previously submitted for the award of any other degree. The work reported in this thesis has been executed by myself, except where due acknowledgement is made in the text. Nouf N. M. Laqtom ii Abstract Human Cytomegalovirus (HCMV), the prototypic β-herpesvirus, is the most common cause of congenital infections as well as morbidity and mortality in immunocompromised patients. -
RNA Polymerase I Transcription and Pre-Rrna Processing Are Linked by Specific SSU Processome Components
Downloaded from genesdev.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press RNA polymerase I transcription and pre-rRNA processing are linked by specific SSU processome components Jennifer E.G. Gallagher,2 David A. Dunbar,3 Sander Granneman,1 Brianna M. Mitchell,3 Yvonne Osheim,4 Ann L. Beyer,4 and Susan J. Baserga1,2,3,5 1Department of Molecular Biophysics and Biochemistry, 2Department of Genetics, and 3Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut 06520-8024, USA; 4Department of Microbiology, University of Virginia, Charlottesville, Virginia 22904, USA Sequential events in macromolecular biosynthesis are often elegantly coordinated. The small ribosomal subunit (SSU) processome is a large ribonucleoprotein (RNP) required for processing of precursors to the small subunit RNA, the 18S, of the ribosome. We have found that a subcomplex of SSU processome proteins, the t-Utps, is also required for optimal rRNA transcription in vivo in the yeast Saccharomyces cerevisiae.The t-Utps are ribosomal chromatin (r-chromatin)-associated, and they exist in a complex in the absence of the U3 snoRNA. Transcription is required neither for the formation of the subcomplex nor for its r-chromatin association. The t-Utps are associated with the pre-18S rRNAs independent of the presence of the U3 snoRNA. This association may thus represent an early step in the formation of the SSU processome. Our results indicate that rRNA transcription and pre-rRNA processing are coordinated via specific components of the SSU processome. [Keywords: Ribosome; RNA; transcription; RNA processing; SSU processome] Received May 27, 2004; revised version accepted August 19, 2004. -
Mechanism of U18666a-Mediated Cell Death in Cultured Neurons
MECHANISM OF U18666A-MEDIATED CELL DEATH IN CULTURED NEURONS KOH CHOR HUI VIVIEN (B.Sc.) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF BIOCHEMISTRY NATIONAL UNIVERSITY OF SINGAPORE 2006 Acknowledgements I would like to thank: My supervisor, Assistant Professor Steve Cheung Nam Sang, for the opportunity to work in his lab and his guidance in this research project. The Biomedical Research Council (BMRC) of the Agency for Science, Technology and Research (A*STAR) of Singapore for the Research Assistant position and financial support (R-183-000-082-305). This work was also financially supported by the National Medical Research Council (NMRC) of Singapore (R-183-000-075-213) and the Academic Research Fund of the National University of Singapore (R-183- 000-060-214). Associate Professor Matthew Whiteman from the Department of Biochemistry for his guidance in oxidative stress studies. Dr. Ou Keli and members of his lab from Agenica Research Pte. Ltd., and Dr. Zhang Dao Hai from the Department of Laboratory Medicine of the National University Hospital for their expertise in proteomics and the use of their facilities. Dr. Li Qiao-Xin from the Department of Pathology of the University of Melbourne for her assistance in Aβ studies; Dr. Qu Dianbo from the Institute of Molecular and Cell Biology for his assistance in radioactive work; Ms Chan Yee Gek from the Department of Anatomy for her assistance in electron microscopy; Jayapal Manikandan from the Department of Physiology for his assistance in GeneSpring™. Ms Seet Sze Jee, Ms Huang Shan Hong and Ms Siau Jialing from the Department of Biochemistry for their technical assistance.