DOCSLIB.ORG

Noncoding Rnas As Novel Pancreatic Cancer Targets

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Noncoding Rnas As Novel Pancreatic Cancer Targets NONCODING RNAS AS NOVEL PANCREATIC CANCER TARGETS by Amy Makler A Thesis Submitted to the Faculty of The Charles E. Schmidt College of Science In Partial Fulfillment of the Requirements for the Degree of Master of Science Florida Atlantic University Boca Raton, FL August 2018 Copyright 2018 by Amy Makler ii ACKNOWLEDGEMENTS I would first like to thank Dr. Narayanan for his continuous support, constant encouragement, and his gentle, but sometimes critical, guidance throughout the past two years of my master’s education. His faith in my abilities and his belief in my future success ensured I continue down this path of research. Working in Dr. Narayanan’s lab has truly been an unforgettable experience as well as a critical step in my future endeavors. I would also like to extend my gratitude to my committee members, Dr. Binninger and Dr. Jia, for their support and suggestions regarding my thesis. Their recommendations added a fresh perspective that enriched our initial hypothesis. They have been indispensable as members of my committee, and I thank them for their contributions. My parents have been integral to my successes in life and their support throughout my education has been crucial. They taught me to push through difficulties and encouraged me to pursue my interests. Thank you, mom and dad! I would like to thank my boyfriend, Joshua Disatham, for his assistance in ensuring my writing maintained a logical progression and flow as well as his unwavering support. He was my rock when the stress grew unbearable and his encouraging words kept me pushing along. Lastly, I would like to thank my friends across the hall (Erick España, Douglas Holmes, and Justin Kirke) for being part of my support system and making my master’s a real adventure. iv ABSTRACT Author: Amy Makler Title: Noncoding RNAs as novel pancreatic cancer targets Institution: Florida Atlantic University Thesis Advisor: Dr. Ramaswamy Narayanan Degree: Master of Science Year: 2018 Pancreatic cancer is an abhorrent malignancy with limited diagnostics and response to drug therapy. It is believed that noncoding RNAs (ncRNAs) will further the understanding behind the mechanisms of pancreatic cancer development and progression, providing a novel approach for drug development and biomarker discovery. Therefore, a database of pancreatic cancer ncRNAs was established using bioinformatics and text mining approaches. These ncRNAs were characterized for RNA expression, copy number variation, disease association, single nucleotide polymorphisms, secretome analysis, and identification of protein targets. Exosomal proteins and ncRNA identified through this study provide the basis for noninvasive diagnostic potential. Additionally, a secreted microRNA, MIR3620, emerged from this study as a potential prognostic and diagnostic biomarker for pancreatic cancer. By analyzing MIR3620 and its protein targets, a mechanism of regulation for these genes in contributing to the progression and development of pancreatic cancer was established. v NONCODING RNAS AS NOVEL PANCREATIC CANCER TARGETS LIST OF FIGURES ........................................................................................................... ix LIST OF TABLES ............................................................................................................ xii SPECIFIC AIMS ................................................................................................................ 1 CHAPTER 1: BACKGROUND AND SIGNIFICANCE .................................................. 3 Pancreatic Cancer............................................................................................................ 3 Noncoding RNA ............................................................................................................. 7 Secretome ...................................................................................................................... 12 Bioinformatics............................................................................................................... 15 Significance................................................................................................................... 19 CHAPTER 2: MATERIALS AND METHODS .............................................................. 20 1. Knowledgebases ................................................................................................... 20 2. ncRNA Analysis ................................................................................................... 21 3. Genome Wide Association Studies ....................................................................... 22 4. Transcriptome Analysis ........................................................................................ 23 5. Proteome Analysis ................................................................................................ 24 6. Interactome ........................................................................................................... 25 7. Pathway Analysis .................................................................................................. 25 8. Transcription Factor Analysis ............................................................................... 26 CHAPTER 3: RESULTS .................................................................................................. 27 Experimental Design and Approach ............................................................................. 27 vi Part I: Database generation ............................................................................................... 28 1. Generation of the Pancreatic Cancer Specific ncRNA Database .......................... 28 2. Generation of the Secretome Database ................................................................. 35 Part II: Pancreatic cancer association of the ncRNAs and secretome .............................. 39 1. Secretome Analysis ............................................................................................... 39 2. ncRNA database analysis ...................................................................................... 47 3. Identification of a pancreatic cancer diagnostic fingerprint ................................. 49 Part III: Characterization of a pancreatic cancer ncRNA biomarker ................................ 56 1. MIR3620 - Background ........................................................................................ 58 2. Genome Wide Association Study Analysis of MIR3620 in Cancer ..................... 61 A. cBioPortal Analysis of MIR3620 .................................................................. 61 B. Global genomics data from International Cancer Genome Consortium (ICGC) ........................................................................................................... 64 C. Single nucleotide polymorphisms .................................................................. 68 3. Co-amplified genes in the MIR3620 locus ........................................................... 69 4. MIR3620 expression profiling .............................................................................. 75 A. NCBI gene expression omnibus analysis....................................................... 75 B. miRIAD, DASHR, and Harmonizome expression analysis .......................... 77 C. Secreted nature of MIR3620 .......................................................................... 80 D. Text-mining ................................................................................................... 80 E. Perturbations landscape of MIR3620 -Genevestigator .................................. 83 I. Cancers........................................................................................................... 83 II. Other diseases ................................................................................................ 83 vii III. Expression in normal tissues.......................................................................... 85 IV. Pancreatic cancer cell lines ............................................................................ 86 5. MIR3620 targets mapping .................................................................................... 87 A. MIR3620 secreted protein targets .................................................................... 88 B. MIR3620 protein targets .................................................................................. 93 C. Characterizing MIR3620 protein targets .......................................................... 97 I. Apoptosis targets............................................................................................ 97 II. Cell adhesion targets ...................................................................................... 99 III. Cell cycle targets .......................................................................................... 100 IV. Chemokine and cytokine targets .................................................................. 103 V. DNA damage and repair targets................................................................... 107 VI. Growth factor targets ................................................................................... 109 VII. Oncogenes and tumor suppressor targets..................................................... 113 VIII. Transcription factor targets ........................................................................ 117 6. Pathway mapping ................................................................................................ 120
Load more

Recommended publications
  • Analysis of Trans Esnps Infers Regulatory Network Architecture
    Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation.
    [Show full text]
  • Bayesian Hierarchical Modeling of High-Throughput Genomic Data with Applications to Cancer Bioinformatics and Stem Cell Differentiation
    BAYESIAN HIERARCHICAL MODELING OF HIGH-THROUGHPUT GENOMIC DATA WITH APPLICATIONS TO CANCER BIOINFORMATICS AND STEM CELL DIFFERENTIATION by Keegan D. Korthauer A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Statistics) at the UNIVERSITY OF WISCONSIN–MADISON 2015 Date of final oral examination: 05/04/15 The dissertation is approved by the following members of the Final Oral Committee: Christina Kendziorski, Professor, Biostatistics and Medical Informatics Michael A. Newton, Professor, Statistics Sunduz Kele¸s,Professor, Biostatistics and Medical Informatics Sijian Wang, Associate Professor, Biostatistics and Medical Informatics Michael N. Gould, Professor, Oncology © Copyright by Keegan D. Korthauer 2015 All Rights Reserved i in memory of my grandparents Ma and Pa FL Grandma and John ii ACKNOWLEDGMENTS First and foremost, I am deeply grateful to my thesis advisor Christina Kendziorski for her invaluable advice, enthusiastic support, and unending patience throughout my time at UW-Madison. She has provided sound wisdom on everything from methodological principles to the intricacies of academic research. I especially appreciate that she has always encouraged me to eke out my own path and I attribute a great deal of credit to her for the successes I have achieved thus far. I also owe special thanks to my committee member Professor Michael Newton, who guided me through one of my first collaborative research experiences and has continued to provide key advice on my thesis research. I am also indebted to the other members of my thesis committee, Professor Sunduz Kele¸s,Professor Sijian Wang, and Professor Michael Gould, whose valuable comments, questions, and suggestions have greatly improved this dissertation.
    [Show full text]
  • Total Synthesis and Chemoproteomics Connect Curcusone Diterpenes with Oncogenic Protein BRAT1
    Total Synthesis and Chemoproteomics Connect Curcusone Diterpenes with Oncogenic Protein BRAT1 Chengsen Cui1†, Brendan G. Dwyer2†, Chang Liu1, Daniel Abegg2, Zhongjian Cai1, Dominic Hoch2, Xianglin Yin1, Nan Qiu2, Jieqing Liu3, Alexander Adibekian2*, Mingji Dai1* 1Department of Chemistry and Center for Cancer Research, Purdue University, West Lafayette, IN 47907, United States 2Department of Chemistry, The Scripps Research Institute, 130 Scripps Way, Jupiter, FL 33458, United States 3School of Medicine, Huaqiao University, Quanzhou 362021, P. R. China Correspondence and requests for materials should be addressed to M. D. (email: [email protected]) and A. A. ([email protected]) †Contributed equally. Abstract: Natural products are an indispensable source of lifesaving medicine, but natural product-based drug discovery often suffers from scarce natural supply and unknown mode of action. The study and development of anticancer curcusone diterpenes fall into such a dilemma. Meanwhile, many biologically- validated disease targets are considered “undruggable” due to the lack of enzymatic activity and/or predicted small molecule binding sites. The oncogenic BRCA1-associated ATM activator 1 (BRAT1) belongs to such an “undruggable” category. Here, we report our synthetic and chemoproteomics studies of the curcusone diterpenes that culminate in an efficient total synthesis and the identification of BRAT1 as a cellular target. We demonstrate for the first time that BRAT1 can be inhibited by a small molecule (curcusone D), resulting in impaired DNA damage response, reduced cancer cell migration, potentiated activity of the DNA damaging drug etoposide, and other phenotypes similar to BRAT1 knockdown. 1 Natural products have been valuable sources and inspirations of lifesaving drug molecules1. Their accumulated evolutionary wisdom together with their structural novelty and diversity makes them unparalleled for novel therapeutic development.
    [Show full text]
  • Regulation of Cdc42 and Its Effectors in Epithelial Morphogenesis Franck Pichaud1,2,*, Rhian F
    © 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs217869. doi:10.1242/jcs.217869 REVIEW SUBJECT COLLECTION: ADHESION Regulation of Cdc42 and its effectors in epithelial morphogenesis Franck Pichaud1,2,*, Rhian F. Walther1 and Francisca Nunes de Almeida1 ABSTRACT An overview of Cdc42 Cdc42 – a member of the small Rho GTPase family – regulates cell Cdc42 was discovered in yeast and belongs to a large family of small – polarity across organisms from yeast to humans. It is an essential (20 30 kDa) GTP-binding proteins (Adams et al., 1990; Johnson regulator of polarized morphogenesis in epithelial cells, through and Pringle, 1990). It is part of the Ras-homologous Rho subfamily coordination of apical membrane morphogenesis, lumen formation and of GTPases, of which there are 20 members in humans, including junction maturation. In parallel, work in yeast and Caenorhabditis elegans the RhoA and Rac GTPases, (Hall, 2012). Rho, Rac and Cdc42 has provided important clues as to how this molecular switch can homologues are found in all eukaryotes, except for plants, which do generate and regulate polarity through localized activation or inhibition, not have a clear homologue for Cdc42. Together, the function of and cytoskeleton regulation. Recent studies have revealed how Rho GTPases influences most, if not all, cellular processes. important and complex these regulations can be during epithelial In the early 1990s, seminal work from Alan Hall and his morphogenesis. This complexity is mirrored by the fact that Cdc42 can collaborators identified Rho, Rac and Cdc42 as main regulators of exert its function through many effector proteins.
    [Show full text]
  • Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
    ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases.
    [Show full text]
  • The Molecular Genetic Architecture of Attention Deficit Hyperactivity Disorder
    Molecular Psychiatry (2015) 20, 289–297 © 2015 Macmillan Publishers Limited All rights reserved 1359-4184/15 www.nature.com/mp EXPERT REVIEW The molecular genetic architecture of attention deficit hyperactivity disorder Z Hawi1, TDR Cummins1, J Tong1, B Johnson1, R Lau1, W Samarrai2 and MA Bellgrove1 Attention deficit hyperactivity disorder (ADHD) is a common childhood behavioral condition which affects 2–10% of school age children worldwide. Although the underlying molecular mechanism for the disorder is poorly understood, familial, twin and adoption studies suggest a strong genetic component. Here we provide a state-of-the-art review of the molecular genetics of ADHD incorporating evidence from candidate gene and linkage designs, as well as genome-wide association (GWA) studies of common single-nucleotide polymorphisms (SNPs) and rare copy number variations (CNVs). Bioinformatic methods such as functional enrichment analysis and protein–protein network analysis are used to highlight biological processes of likely relevance to the aetiology of ADHD. Candidate gene associations of minor effect size have been replicated across a number of genes including SLC6A3, DRD5, DRD4, SLC6A4, LPHN3, SNAP-25, HTR1B, NOS1 and GIT1. Although case-control SNP-GWAS have had limited success in identifying common genetic variants for ADHD that surpass critical significance thresholds, quantitative trait designs suggest promising associations with Cadherin13 and glucose–fructose oxidoreductase domain 1 genes. Further, CNVs mapped to glutamate receptor genes (GRM1, GRM5, GRM7 and GRM8) have been implicated in the aetiology of the disorder and overlap with bioinformatic predictions based on ADHD GWAS SNP data regarding enriched pathways. Although increases in sample size across multi-center cohorts will likely yield important new results, we advocate that this must occur in parallel with a shift away from categorical case-control approaches that view ADHD as a unitary construct, towards dimensional approaches that incorporate endophenotypes and statistical classification methods.
    [Show full text]
  • Proteomic Identification of the Transcription Factors Ikaros And
    European School of Molecular Medicine (SEMM) University of Milan and University of Naples “Federico II” PhD degree in Systems Medicine (curriculum in Molecular Oncology) Settore disciplinare: BIO/11 Proteomic identification of the transcription factors Ikaros and Aiolos as new Myc interactors on chromatin Chiara Veronica Locarno Matricola: R10755 Center for Genomic Science IIT@SEMM, Milan Supervisor: Bruno Amati, PhD IEO, Milan Added Supervisor: Arianna Sabò, PhD IEO, Milan Academic year 2017-2018 Table of contents List of abbreviations ........................................................................................................... 4 List of figures ....................................................................................................................... 8 List of tables ....................................................................................................................... 11 Abstract .............................................................................................................................. 12 1. INTRODUCTION ......................................................................................................... 13 1.1 Myc ........................................................................................................................................ 13 1.1.1 Myc discovery and structure ........................................................................................... 13 1.1.2. Role of Myc in physiological and pathological conditions ...........................................
    [Show full text]
  • Genetic Basis of Simple and Complex Traits with Relevance to Avian Evolution
    Genetic basis of simple and complex traits with relevance to avian evolution Małgorzata Anna Gazda Doctoral Program in Biodiversity, Genetics and Evolution D Faculdade de Ciências da Universidade do Porto 2019 Supervisor Miguel Jorge Pinto Carneiro, Auxiliary Researcher, CIBIO/InBIO, Laboratório Associado, Universidade do Porto Co-supervisor Ricardo Lopes, CIBIO/InBIO Leif Andersson, Uppsala University FCUP Genetic basis of avian traits Nota Previa Na elaboração desta tese, e nos termos do número 2 do Artigo 4º do Regulamento Geral dos Terceiros Ciclos de Estudos da Universidade do Porto e do Artigo 31º do D.L.74/2006, de 24 de Março, com a nova redação introduzida pelo D.L. 230/2009, de 14 de Setembro, foi efetuado o aproveitamento total de um conjunto coerente de trabalhos de investigação já publicados ou submetidos para publicação em revistas internacionais indexadas e com arbitragem científica, os quais integram alguns dos capítulos da presente tese. Tendo em conta que os referidos trabalhos foram realizados com a colaboração de outros autores, o candidato esclarece que, em todos eles, participou ativamente na sua conceção, na obtenção, análise e discussão de resultados, bem como na elaboração da sua forma publicada. Este trabalho foi apoiado pela Fundação para a Ciência e Tecnologia (FCT) através da atribuição de uma bolsa de doutoramento (PD/BD/114042/2015) no âmbito do programa doutoral em Biodiversidade, Genética e Evolução (BIODIV). 2 FCUP Genetic basis of avian traits Acknowledgements Firstly, I would like to thank to my all supervisors Miguel Carneiro, Ricardo Lopes and Leif Andersson, for the demanding task of supervising myself last four years.
    [Show full text]
  • TASOR Is a Pseudo-PARP That Directs HUSH Complex Assembly and Epigenetic Transposon Control
    bioRxiv preprint doi: https://doi.org/10.1101/2020.03.09.974832; this version posted March 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. TASOR is a pseudo-PARP that directs HUSH complex assembly and epigenetic transposon control Christopher H. Douse1,‡, Iva A. Tchasovnikarova2,‡, Richard T. Timms2,‡, Anna V. Protasio2, Marta Seczynska2, Daniil M. Prigozhin1, Anna Albecka1,2, Jane Wagstaff3, James C. Williamson2, Stefan M.V. Freund3, Paul J. Lehner2*, Yorgo Modis1,2* 1 Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge, CB2 0QH, UK 2 Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge CB2 0AW, UK 3 Structural Studies Division, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge, CB2 0QH, UK Current addresses: Department of Experimental Medical Science, Lund University, Sölvegatan 19, Lund, Sweden (C.H.D.); The Gurdon Institute, Tennis Court Road, Cambridge, UK (I.A.T.); Department of Pathology, Tennis Court Road, Cambridge, UK (A.V.P.); Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA (D.M.P.) ‡These authors contributed equally *co-corresponding authors Keywords: Transcriptional repression; epigenetic silencing; antiretroviral response; genome stability; histone H3 lysine 9 methylation (H3K9me3); transposable element (TE); long interspersed nuclear element-1 (LINE-1); poly-ADP ribose polymerase (PARP); RNA-binding protein; RNA-induced transcriptional silencing; CUT&RUN; CUT&Tag; genome profiling 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.09.974832; this version posted March 11, 2020.
    [Show full text]
  • Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers
    Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers. by Kelly Kennaley A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Molecular and Cellular Pathology) in the University of Michigan 2019 Doctoral Committee: Associate Professor Zaneta Nikolovska-Coleska, Co-Chair Adjunct Associate Professor Scott A. Tomlins, Co-Chair Associate Professor Eric R. Fearon Associate Professor Alexey I. Nesvizhskii Kelly R. Kennaley [email protected] ORCID iD: 0000-0003-2439-9020 © Kelly R. Kennaley 2019 Acknowledgements I have immeasurable gratitude for the unwavering support and guidance I received throughout my dissertation. First and foremost, I would like to thank my thesis advisor and mentor Dr. Scott Tomlins for entrusting me with a challenging, interesting, and impactful project. He taught me how to drive a project forward through set-backs, ask the important questions, and always consider the impact of my work. I’m truly appreciative for his commitment to ensuring that I would get the most from my graduate education. I am also grateful to the many members of the Tomlins lab that made it the supportive, collaborative, and educational environment that it was. I would like to give special thanks to those I’ve worked closely with on this project, particularly Dr. Moloy Goswami for his mentorship, Lei Lucy Wang, Dr. Sumin Han, and undergraduate students Bhavneet Singh, Travis Weiss, and Myles Barlow. I am also grateful for the support of my thesis committee, Dr. Eric Fearon, Dr. Alexey Nesvizhskii, and my co-mentor Dr. Zaneta Nikolovska-Coleska, who have offered guidance and critical evaluation since project inception.
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Effects of Activation of the LINE-1 Antisense Promoter on the Growth of Cultured Cells
    www.nature.com/scientificreports OPEN Efects of activation of the LINE‑1 antisense promoter on the growth of cultured cells Tomoyuki Honda1*, Yuki Nishikawa1, Kensuke Nishimura1, Da Teng1, Keiko Takemoto2 & Keiji Ueda1 Long interspersed element 1 (LINE‑1, or L1) is a retrotransposon that constitutes ~ 17% of the human genome. Although ~ 6000 full‑length L1s spread throughout the human genome, their biological signifcance remains undetermined. The L1 5′ untranslated region has bidirectional promoter activity with a sense promoter driving L1 mRNA production and an antisense promoter (ASP) driving the production of L1‑gene chimeric RNAs. Here, we stimulated L1 ASP activity using CRISPR‑Cas9 technology to evaluate its biological impacts. Activation of the L1 ASP upregulated the expression of L1 ASP‑driven ORF0 and enhanced cell growth. Furthermore, the exogenous expression of ORF0 also enhanced cell growth. These results indicate that activation of L1 ASP activity fuels cell growth at least through ORF0 expression. To our knowledge, this is the frst report demonstrating the role of the L1 ASP in a biological context. Considering that L1 sequences are desilenced in various tumor cells, our results indicate that activation of the L1 ASP may be a cause of tumor growth; therefore, interfering with L1 ASP activity may be a potential strategy to suppress the growth. Te human genome contains many transposable element-derived sequences, such as endogenous retroviruses and long interspersed element 1 (LINE-1, or L1). L1 is one of the major classes of retrotransposons, and it constitutes ~ 17% of the human genome1. Full-length L1 consists of a 5′ untranslated region (UTR), two open reading frames (ORFs) that encode the proteins ORF1p and ORF2p, and a 3′ UTR with a polyadenylation signal.
    [Show full text]