Inactivation of the Tumor Suppressor P53 by Long Noncoding RNA RMRP
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TINCR Inhibits the Proliferation and Invasion of Laryngeal Squamous Cell
He et al. BMC Cancer (2021) 21:753 https://doi.org/10.1186/s12885-021-08513-0 RESEARCH ARTICLE Open Access TINCR inhibits the proliferation and invasion of laryngeal squamous cell carcinoma by regulating miR-210/BTG2 Guoqing He1†, Rui Pang2†, Jihua Han2, Jinliang Jia2, Zhaoming Ding2, Wen Bi2, Jiawei Yu2, Lili Chen2, Jiewu Zhang2* and Yanan Sun1* Abstract Background: Terminal differentiation-induced ncRNA (TINCR) plays an essential role in epidermal differentiation and is involved in the development of various cancers. Methods: qPCR was used to detect the expression level of TINCR in tissues and cell lines of laryngeal squamous cell carcinoma (LSCC). The potential targets of TINCR were predicted by the bioinformation website. The expression of miR-210 and BTG2 genes were detected by qPCR, and the protein levels of BTG2 and Ki-67 were evaluated by western blot. CCK-8 assay, scratch test, and transwell chamber were used to evaluate the proliferation, invasion, and metastasis ability of LSCC cells. The relationships among TINCR, miR-210, and BTG2 were investigated by bioinformatics software and luciferase reporter assay. The in vivo function of TINCR was accessed on survival rate and tumor growth in nude mice. Results: We used qRT-PCR to detect the expression of TINCR in laryngeal squamous cell carcinoma (LSCC) tissues and cells and found significantly lower levels in cancer tissues compared with adjacent tissues. Additionally, patients with high TINCR expression had a better prognosis. TINCR overexpression was observed to inhibit the proliferation and invasion of LSCC cells. TINCR was shown to exert its antiproliferation and invasion effects by adsorbing miR- 210, which significantly promoted the proliferation and invasion of laryngeal squamous cells. -
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. -
Cartilage-Hair Hypoplasia
Cartilage-hair hypoplasia Description Cartilage-hair hypoplasia is a disorder of bone growth characterized by short stature ( dwarfism) with other skeletal abnormalities; fine, sparse hair (hypotrichosis); and abnormal immune system function (immune deficiency) that can lead to recurrent infections. People with cartilage-hair hypoplasia have unusually short limbs and short stature from birth. They typically have malformations in the cartilage near the ends of the long bones in the arms and legs (metaphyseal chondrodysplasia), which then affects development of the bone itself. Most people with cartilage-hair hypoplasia are unusually flexible in some joints, but they may have difficulty extending their elbows fully. Affected individuals have hair that is lighter in color than that of other family members because the core of each hair, which contains some of the pigment that contributes the hair's color, is missing. The missing core also makes each strand of hair thinner, causing the hair to have a sparse appearance overall. Unusually light-colored skin ( hypopigmentation), malformed nails, and dental abnormalities may also be seen in this disorder. The extent of the immune deficiency in cartilage-hair hypoplasia varies from mild to severe. Affected individuals with the most severe immune problems are considered to have severe combined immunodeficiency (SCID). People with SCID lack virtually all immune protection from bacteria, viruses, and fungi and are prone to repeated and persistent infections that can be very serious or life-threatening. These infections are often caused by "opportunistic" organisms that ordinarily do not cause illness in people with a normal immune system. Most people with cartilage-hair hypoplasia, even those who have milder immune deficiency, experience infections of the respiratory system, ears, and sinuses. -
BTG2: a Rising Star of Tumor Suppressors (Review)
INTERNATIONAL JOURNAL OF ONCOLOGY 46: 459-464, 2015 BTG2: A rising star of tumor suppressors (Review) BIjING MAO1, ZHIMIN ZHANG1,2 and GE WANG1 1Cancer Center, Institute of Surgical Research, Daping Hospital, Third Military Medical University, Chongqing 400042; 2Department of Oncology, Wuhan General Hospital of Guangzhou Command, People's Liberation Army, Wuhan, Hubei 430070, P.R. China Received September 22, 2014; Accepted November 3, 2014 DOI: 10.3892/ijo.2014.2765 Abstract. B-cell translocation gene 2 (BTG2), the first 1. Discovery of BTG2 in TOB/BTG gene family gene identified in the BTG/TOB gene family, is involved in many biological activities in cancer cells acting as a tumor The TOB/BTG genes belong to the anti-proliferative gene suppressor. The BTG2 expression is downregulated in many family that includes six different genes in vertebrates: TOB1, human cancers. It is an instantaneous early response gene and TOB2, BTG1 BTG2/TIS21/PC3, BTG3 and BTG4 (Fig. 1). plays important roles in cell differentiation, proliferation, DNA The conserved domain of BTG N-terminal contains two damage repair, and apoptosis in cancer cells. Moreover, BTG2 regions, named box A and box B, which show a high level of is regulated by many factors involving different signal path- homology to the other domains (1-5). Box A has a major effect ways. However, the regulatory mechanism of BTG2 is largely on cell proliferation, while box B plays a role in combination unknown. Recently, the relationship between microRNAs and with many target molecules. Compared with other family BTG2 has attracted much attention. MicroRNA-21 (miR-21) members, BTG1 and BTG2 have an additional region named has been found to regulate BTG2 gene during carcinogenesis. -
Integrative Differential Expression and Gene Set Enrichment Analysis Using Summary Statistics for Scrna-Seq Studies
ARTICLE https://doi.org/10.1038/s41467-020-15298-6 OPEN Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies ✉ Ying Ma 1,7, Shiquan Sun 1,7, Xuequn Shang2, Evan T. Keller 3, Mengjie Chen 4,5 & Xiang Zhou 1,6 Differential expression (DE) analysis and gene set enrichment (GSE) analysis are commonly applied in single cell RNA sequencing (scRNA-seq) studies. Here, we develop an integrative 1234567890():,; and scalable computational method, iDEA, to perform joint DE and GSE analysis through a hierarchical Bayesian framework. By integrating DE and GSE analyses, iDEA can improve the power and consistency of DE analysis and the accuracy of GSE analysis. Importantly, iDEA uses only DE summary statistics as input, enabling effective data modeling through com- plementing and pairing with various existing DE methods. We illustrate the benefits of iDEA with extensive simulations. We also apply iDEA to analyze three scRNA-seq data sets, where iDEA achieves up to five-fold power gain over existing GSE methods and up to 64% power gain over existing DE methods. The power gain brought by iDEA allows us to identify many pathways that would not be identified by existing approaches in these data. 1 Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA. 2 School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, P.R. China. 3 Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA. 4 Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. 5 Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA. -
A Disease-Linked Lncrna Mutation in Rnase MRP Inhibits Ribosome Synthesis
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.29.437572; this version posted March 29, 2021. 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 4.0 International license. A disease-linked lncRNA mutation in RNase MRP inhibits ribosome synthesis Nic Roberston1, Vadim Shchepachev1, David Wright2, Tomasz W. Turowski1, Christos Spanos1, Aleksandra Helwak1, Rose Zamoyska2, David Tollervey1 1 Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh, UK 2 Ashworth Laboratories, Institute of Immunology and Infection Research, University of Edinburgh, Edinburgh, UK Keywords: protein-RNA interaction; RNA-binding sites; UV crosslinking; mass spectrometry; genetic disease; Cartilage Hair Hypoplasia; ribosome synthesis; T cell activation Running title: RNase MRP defects cause ribosomopathy Highlights: • Mutations in RMRP lncRNA impair pre-rRNA processing and T cell activation • Patient derived fibroblasts show impaired pre-rRNA processing • Cells with the most common disease-linked mutation have specific processing defects • Cytoplasmic ribosomes and intact RNase MRP complexes are also reduced in these cells 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.29.437572; this version posted March 29, 2021. 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 4.0 International license. Abstract Mutations in the human RMRP gene cause Cartilage Hair Hypoplasia (CHH), an autosomal recessive disorder characterized by skeletal abnormalities and impaired T cell activation. -
Supplementary Materials
Supplementary Materials COMPARATIVE ANALYSIS OF THE TRANSCRIPTOME, PROTEOME AND miRNA PROFILE OF KUPFFER CELLS AND MONOCYTES Andrey Elchaninov1,3*, Anastasiya Lokhonina1,3, Maria Nikitina2, Polina Vishnyakova1,3, Andrey Makarov1, Irina Arutyunyan1, Anastasiya Poltavets1, Evgeniya Kananykhina2, Sergey Kovalchuk4, Evgeny Karpulevich5,6, Galina Bolshakova2, Gennady Sukhikh1, Timur Fatkhudinov2,3 1 Laboratory of Regenerative Medicine, National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia 2 Laboratory of Growth and Development, Scientific Research Institute of Human Morphology, Moscow, Russia 3 Histology Department, Medical Institute, Peoples' Friendship University of Russia, Moscow, Russia 4 Laboratory of Bioinformatic methods for Combinatorial Chemistry and Biology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia 5 Information Systems Department, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia 6 Genome Engineering Laboratory, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia Figure S1. Flow cytometry analysis of unsorted blood sample. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S2. Flow cytometry analysis of unsorted liver stromal cells. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S3. MiRNAs expression analysis in monocytes and Kupffer cells. Full-length of heatmaps are presented. -
Bioinformatics-Based Screening of Key Genes for Transformation of Liver
Jiang et al. J Transl Med (2020) 18:40 https://doi.org/10.1186/s12967-020-02229-8 Journal of Translational Medicine RESEARCH Open Access Bioinformatics-based screening of key genes for transformation of liver cirrhosis to hepatocellular carcinoma Chen Hao Jiang1,2, Xin Yuan1,2, Jiang Fen Li1,2, Yu Fang Xie1,2, An Zhi Zhang1,2, Xue Li Wang1,2, Lan Yang1,2, Chun Xia Liu1,2, Wei Hua Liang1,2, Li Juan Pang1,2, Hong Zou1,2, Xiao Bin Cui1,2, Xi Hua Shen1,2, Yan Qi1,2, Jin Fang Jiang1,2, Wen Yi Gu4, Feng Li1,2,3 and Jian Ming Hu1,2* Abstract Background: Hepatocellular carcinoma (HCC) is the most common type of liver tumour, and is closely related to liver cirrhosis. Previous studies have focussed on the pathogenesis of liver cirrhosis developing into HCC, but the molecular mechanism remains unclear. The aims of the present study were to identify key genes related to the transformation of cirrhosis into HCC, and explore the associated molecular mechanisms. Methods: GSE89377, GSE17548, GSE63898 and GSE54236 mRNA microarray datasets from Gene Expression Omni- bus (GEO) were analysed to obtain diferentially expressed genes (DEGs) between HCC and liver cirrhosis tissues, and network analysis of protein–protein interactions (PPIs) was carried out. String and Cytoscape were used to analyse modules and identify hub genes, Kaplan–Meier Plotter and Oncomine databases were used to explore relationships between hub genes and disease occurrence, development and prognosis of HCC, and the molecular mechanism of the main hub gene was probed using Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis. -
RNA Dynamics in Alzheimer's Disease
molecules Review RNA Dynamics in Alzheimer’s Disease Agnieszka Rybak-Wolf 1,* and Mireya Plass 2,3,4,* 1 Max Delbrück Center for Molecular Medicine (MDC), Berlin Institute for Medical Systems Biology (BIMSB), 10115 Berlin, Germany 2 Gene Regulation of Cell Identity, Regenerative Medicine Program, Bellvitge Institute for Biomedical Research (IDIBELL), L’Hospitalet del Llobregat, 08908 Barcelona, Spain 3 Program for Advancing Clinical Translation of Regenerative Medicine of Catalonia, P-CMR[C], L’Hospitalet del Llobregat, 08908 Barcelona, Spain 4 Center for Networked Biomedical Research on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain * Correspondence: [email protected] (A.R.-W.); [email protected] (M.P.) Abstract: Alzheimer’s disease (AD) is the most common age-related neurodegenerative disorder that heavily burdens healthcare systems worldwide. There is a significant requirement to understand the still unknown molecular mechanisms underlying AD. Current evidence shows that two of the major features of AD are transcriptome dysregulation and altered function of RNA binding proteins (RBPs), both of which lead to changes in the expression of different RNA species, including microRNAs (miRNAs), circular RNAs (circRNAs), long non-coding RNAs (lncRNAs), and messenger RNAs (mRNAs). In this review, we will conduct a comprehensive overview of how RNA dynamics are altered in AD and how this leads to the differential expression of both short and long RNA species. We will describe how RBP expression and function are altered in AD and how this impacts the expression of different RNA species. Furthermore, we will also show how changes in the abundance Citation: Rybak-Wolf, A.; Plass, M. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Inactivation of Erk1 and Erk2 Disrupts Cortical
INACTIVATION OF ERK1 AND ERK2 DISRUPTS CORTICAL PROGENITOR PROLIFERATION LEADING TO ABNORMAL CYTOARCHITECTURE, CIRCUITRY AND BEHAVIOR, MODELING HUMAN NCFC AND RELATED SYNDROMES. by JOANNA PUCILOWSKA Submitted in partial fulfillment of the requirements For the degree of Doctor of Philosophy Dissertation Advisor: Dr. Gary E. Landreth Department of Neurosciences CASE WESTERN RESERVE UNIVERSITY August 2012 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of Joanna Pucilowska candidate for the PhD degree*. (signed) Robert Miller (chair of the committee) Gary Landreth Jerry Silver Stephen Maricich (date) 5/29/2012 *We also certify that written approval has been obtained for any proprietary material contained within. 2 TABLE OF CONTENTS List of figures……...……………………………………………………………….….6 ABSTRACT…...………………………………………………………………….…..9 CHAPTER 1: INTRODUCTION………………………………………………………….11 MAP KINASE Signaling Pathway………………………………………………...11 MAPK Specificity: The Right Place at the Right Time………………………..…16 ERKs and Isoform Specificity………………..…………………………………….23 ERKs in Learning and Memory………………………..………………………….26 ERKs and their FGF Ligands………………………..…………………………….28 CORTICAL DEVELOPMENT: Forebrain Regionalization and Morphogenesis………..…………………31 The Role of Cell Cycle in Corticogenesis……..…………...………………33 ERKs and the Cell Cycle Progression…………………..…………………36 Progenitor Proliferation and Neurogenesis………………..……………...39 Migration…………………..………………………………………………..45 Gliogenesis…………………………………………………………..………47 Differentiation……………………………………………………..………..48 -
BTG2 Loss and Mir-21 Upregulation Contribute to Prostate Cell Transformation by Inducing Luminal Markers Expression and Epithelial–Mesenchymal Transition
Oncogene (2013) 32, 1843–1853 & 2013 Macmillan Publishers Limited All rights reserved 0950-9232/13 www.nature.com/onc ORIGINAL ARTICLE BTG2 loss and miR-21 upregulation contribute to prostate cell transformation by inducing luminal markers expression and epithelial–mesenchymal transition V Coppola1,6, M Musumeci1,6, M Patrizii1, A Cannistraci1, A Addario1, M Maugeri-Sacca` 2, M Biffoni1, F Francescangeli1, M Cordenonsi3, S Piccolo3, L Memeo4, A Pagliuca1, G Muto5, A Zeuner1, R De Maria2,6 and D Bonci1,6 Prostate cancer is one of the leading causes of cancer-related death in men. Despite significant advances in prostate cancer diagnosis and management, the molecular events involved in the transformation of normal prostate cells into cancer cells have not been fully understood. It is generally accepted that prostate cancer derives from the basal compartment while expressing luminal markers. We investigated whether downregulation of the basal protein B-cell translocation gene 2 (BTG2) is implicated in prostate cancer transformation and progression. Here we show that BTG2 loss can shift normal prostate basal cells towards luminal markers expression, a phenotype also accompanied by the appearance of epithelial–mesenchymal transition (EMT) traits. We also show that the overexpression of microRNA (miR)-21 suppresses BTG2 levels and promotes the acquisition of luminal markers and EMT in prostate cells. Furthermore, by using an innovative lentiviral vector able to compete with endogenous mRNA through the overexpression of the 30-untranslated region of BTG2, we demonstrate that in prostate tumor cells, the levels of luminal and EMT markers can be reduced by derepression of BTG2 from microRNA-mediated control.