The Genetic and Endoplasmic Reticulum-Mediated Molecular Mechanisms of Primary Open-Angle Glaucoma
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Human Prostate Cancer Cell Apoptosis
HUMAN PROSTATE CANCER CELL APOPTOSIS INDUCED BY INTERFERON-γ AND DOUBLE-STRANDED RNA AND STUDIES ON THE BIOLOGICAL ROLES OF TRANSMEMBRANE AND COILED-COIL DOMAINS 1 HAIYAN TAN Bachelor of Science in Medicine Norman Bethune University of Medical Sciences, China July, 1995 Submitted in partial fulfillment of the requirements for the degree DOCTOR OF PHILOSOPHY IN CLINICAL AND BIOANALYTICAL CHEMISTRY at the CLEVEALND STATE UNIVERSTIY August, 2010 This dissertation has been approved for the Department of Chemistry and the College of Graduate Studies by Dissertation Committee Chairperson, Dr. Aimin Zhou Department & Date Dr. David Anderson Department & Date Dr. Xue-long Sun Department & Date Dr. Crystal M Weyman Department & Date Dr. Sihe Wang Department & Date ACKNOWLEDGEMENTS First and foremost, I want to heartily thank my advisor, Dr. Aimin Zhou, for his exceptional mentorship and constant support throughout my Ph.D. work. He was always available to listen to and discuss my ideas and questions, and showed me different ways to research problems. Most importantly, he taught me the need to be persistent to accomplish any goal, and his optimistic attitude toward his career and life has deeply affected me. I would like to express my special appreciation to my advisory committee, Dr. David Anderson, Dr. Crystal M Weyman, Dr. Sihe Wang, and Dr. Xue-long Sun, for their advice, encouragement, and support. Dr. Anderson provided me with a lot of encouragement and support. His instruction for my first job interview in the United States really touched me. Dr. Weyman is a model of a successful woman scientist and her instruction is always helpful. -
Homozygous Frameshift Mutation in TMCO1 Causes a Syndrome with Craniofacial Dysmorphism, Skeletal Anomalies, and Mental Retardation
Homozygous frameshift mutation in TMCO1 causes a syndrome with craniofacial dysmorphism, skeletal anomalies, and mental retardation Baozhong Xina, Erik G. Puffenbergerb,c, Susan Turbena, Haiyan Tand, Aimin Zhoud, and Heng Wanga,e,f,1 aDDC Clinic for Special Needs Children, Middlefield, OH 44062; bThe Clinic for Special Children, Strasburg, PA 17579; cDepartment of Biology, Franklin and Marshall College, Lancaster, PA 17603; dDepartment of Chemistry, Cleveland State University, Cleveland, OH 44115; eDepartment of Pediatrics, Rainbow Babies and Children’s Hospital, Cleveland, OH 44106; and fDepartment of Molecular Cardiology, Cleveland Clinic, Cleveland, OH 44195 Edited by Albert de la Chapelle, Ohio State University Comprehensive Cancer Center, Columbus, OH, and approved November 18, 2009 (received for review July 27, 2009) We identified an autosomal recessive condition in 11 individuals Results in the Old Order Amish of northeastern Ohio. The syndrome was Clinical Phenotype. TMCO1 defect syndrome was diagnosed in 11 characterized by distinctive craniofacial dysmorphism, skeletal individuals (6 males, 5 females) ranging in age from 3 to 39 years. anomalies, and mental retardation. The typical craniofacial dys- All 11 patients demonstrated Old Order Amish ancestry, and morphism included brachycephaly, highly arched bushy eye- genealogical analyses revealed multiple lines of common descent brows, synophrys, long eyelashes, low-set ears, microdontism of between all parents of affected children (Fig. 1). The phenotype primary teeth, and generalized gingival hyperplasia, whereas was not observed in the parents or 23 unaffected siblings. Sprengel deformity of scapula, fusion of spine, rib abnormities, A history of first trimester spontaneous abortions was reported pectus excavatum, and pes planus represented skeletal anomalies. -
A Systems-Genetics Analyses of Complex Phenotypes
A systems-genetics analyses of complex phenotypes A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Life Sciences 2015 David Ashbrook Table of contents Table of contents Table of contents ............................................................................................... 1 Tables and figures ........................................................................................... 10 General abstract ............................................................................................... 14 Declaration ....................................................................................................... 15 Copyright statement ........................................................................................ 15 Acknowledgements.......................................................................................... 16 Chapter 1: General introduction ...................................................................... 17 1.1 Overview................................................................................................... 18 1.2 Linkage, association and gene annotations .............................................. 20 1.3 ‘Big data’ and ‘omics’ ................................................................................ 22 1.4 Systems-genetics ..................................................................................... 24 1.5 Recombinant inbred (RI) lines and the BXD .............................................. 25 Figure 1.1: -
Metro Diabetes Management Class
WELCOME TO METRO DIABETES MANAGEMENT CLASS Kacy Aderhold, MSN, APRN-CNS, CMSRN Metro Diabetes Management INTEGRIS Health is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s commission on accreditation. This activity has been provided through INTEGRIS Health for 5.5 contact hours if all sessions are attended. Participants are required to attend the complete session and turn in an evaluation for each session attended in order to receive contact hours for that session. No influencing relationships or conflicts of interest have been identified in the planning or presentation of this activity. Course Objectives • Discuss the disease process of diabetes • Differentiate between: Pre-diabetes, T1DM, T2DM, Gestational Diabetes, and Stress Induced Hyperglycemia • Identify Core Measures related to in-patient diabetes care • Identify patient education strategies and interventions • Discuss oral agents and insulin preparations for diabetic patients • Demonstrate insulin administration using an insulin pen device • Discuss goals of nutrition for patients with diabetes • Demonstrate knowledge of basic carbohydrate counting • Discuss POC testing and implication of uploading results • Demonstrate understanding of basal/bolus regimen with case scenarios • Recognize acute and chronic complications associated with diabetes • Discuss prevention and treatment of diabetes related complications • Discuss proper EMR documentation for patients with diabetes* • Discuss INTEGRIS protocols including HMP, Hypoglycemia Management Protocol, and Insulin Infusion Protocols* • Discuss INTEGRIS Resources* *Not included in contact hours DISEASE PROCESS Kacy Aderhold, MSN, APRN-CNS, CMSRN What is Diabetes? Diabetes is a metabolic disease resulting in elevated blood glucose levels caused by the body’s complete lack of insulin production, or the cell’s resistance to the circulating insulin. -
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Systematic Evaluation of Genes and Genetic Variants Associated with Type 1 Diabetes Susceptibility This information is current as Ramesh Ram, Munish Mehta, Quang T. Nguyen, Irma of September 23, 2021. Larma, Bernhard O. Boehm, Flemming Pociot, Patrick Concannon and Grant Morahan J Immunol 2016; 196:3043-3053; Prepublished online 24 February 2016; doi: 10.4049/jimmunol.1502056 Downloaded from http://www.jimmunol.org/content/196/7/3043 Supplementary http://www.jimmunol.org/content/suppl/2016/02/19/jimmunol.150205 Material 6.DCSupplemental http://www.jimmunol.org/ References This article cites 44 articles, 5 of which you can access for free at: http://www.jimmunol.org/content/196/7/3043.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 23, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Systematic Evaluation of Genes and Genetic Variants Associated with Type 1 Diabetes Susceptibility Ramesh Ram,*,† Munish Mehta,*,† Quang T. -
(TMCO1) Is Not a Risk Factor for Primary Open Angle Glaucoma in a Saudi Cohort Altaf A
Kondkar et al. Journal of Negative Results in BioMedicine (2016) 15:17 DOI 10.1186/s12952-016-0060-1 RESEARCH Open Access Polymorphism rs7555523 in transmembrane and coiled-coil domain 1 (TMCO1) is not a risk factor for primary open angle glaucoma in a Saudi cohort Altaf A. Kondkar1,2, Ahmed Mousa1,2, Taif A. Azad1,2, Tahira Sultan1,2, Abdullah Alawad3, Saleh Altuwaijri4,5, Saleh A. Al-Obeidan1,2 and Khaled K. Abu-Amero1,2,6* Abstract Background: We investigated whether polymorphism rs7555523 (A > C) in human transmembrane and coiled-coil domain 1 (TMCO1) gene is a risk factor for primary open angle glaucoma (POAG) in a Saudi cohort. Methods: A cohort of 87 unrelated POAG cases and 94 control subjects from Saudi Arabia were genotyped using Taq-Man® assay. The association of genotypes with POAG and other glaucoma specific clinical indices was investigated. Results: The genotype and allele frequency of polymorphism rs7555523 at TMCO1 did not show any statistically significant association with POAG as compared to controls. The minor allele frequency was 0.103 in cases and 0.085 in controls. Except for awareness of glaucoma (p = 0.036), no significant association of genotypes were seen with glaucoma specific clinical indices such as intraocular pressure (IOP), cup/disc ratio and number of anti-glaucoma medications used. Binary logistic regression analysis (adjusted for age and gender) showed that age was a significant indicator for the development of glaucoma in this group (adjusted odds ratio = 1.2; 95 % confidence interval = 1.078–1.157; p < 0.001). Conclusion: Our study was unable to replicate the findings of previously reported association for polymorphism rs7555523 in TMCO1 with POAG and related clinical indices such as IOP and cup/disc ratio indicating that this variant is not a risk factor for POAG in the Saudi cohort. -
Genomic Locus Modulating IOP in the BXD RI Mouse
Genomic Locus Modulating IOP in the BXD RI Mouse Strains Rebecca King, Emory University Ying Li, Emory University Jiaxing Wang, Emory University Felix Struebing, Emory University Eldon Geisert Jr, Emory University Journal Title: G3 Volume: Volume 8, Number 5 Publisher: Genetics Society of America: G3 | 2018-05-01, Pages 1571-1578 Type of Work: Article | Final Publisher PDF Publisher DOI: 10.1534/g3.118.200190 Permanent URL: https://pid.emory.edu/ark:/25593/s9q6d Final published version: http://dx.doi.org/10.1534/g3.118.200190 Copyright information: © 2018 King et al. This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Accessed September 26, 2021 5:47 PM EDT INVESTIGATION Genomic Locus Modulating IOP in the BXD RI Mouse Strains Rebecca King,* Ying Li,* Jiaxing Wang,*,† Felix L. Struebing,* and Eldon E. Geisert*,1 *Department of Ophthalmology, Emory University, Atlanta, Georgia 30322 and †Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China ORCID IDs: 0000-0003-0874-0102 (R.K.); 0000-0002-9615-4914 (Y.L.); 0000-0001-8958-6893 (J.W.); 0000-0002-9436-6294 (F.L.S.); 0000-0003-0787-4416 (E.E.G.) ABSTRACT Intraocular pressure (IOP) is the primary risk factor for developing glaucoma, yet little is known KEYWORDS about the contribution of genomic background to IOP regulation. The present study leverages an array of BXD systems genetics tools to study genomic factors modulating normal IOP in the mouse. The BXD cadherin recombinant inbred (RI) strain set was used to identify genomic loci modulating IOP. -
CLASSIFICATION of DIABETES MELLITUS 2019 Classification of Diabetes Mellitus ISBN 978-92-4-151570-2
CLASSIFICATION OF DIABETES MELLITUS 2019 Classification of diabetes mellitus ISBN 978-92-4-151570-2 © World Health Organization 2019 Some rights reserved. This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo). Under the terms of this licence, you may copy, redistribute and adapt the work for non-commercial purposes, provided the work is appropriately cited, as indicated below. In any use of this work, there should be no suggestion that WHO endorses any specific organization, products or services. The use of the WHO logo is not permitted. If you adapt the work, then you must license your work under the same or equivalent Creative Commons licence. If you create a translation of this work, you should add the following disclaimer along with the suggested citation: “This translation was not created by the World Health Organization (WHO). WHO is not responsible for the content or accuracy of this translation. The original English edition shall be the binding and authentic edition”. Any mediation relating to disputes arising under the licence shall be conducted in accordance with the mediation rules of the World Intellectual Property Organization. Suggested citation. Classification of diabetes mellitus. Geneva: World Health Organization; 2019. Licence:CC BY-NC-SA 3.0 IGO. Cataloguing-in-Publication (CIP) data. CIP data are available at http://apps.who.int/iris. Sales, rights and licensing. To purchase WHO publications, see http://apps.who.int/bookorders. To submit requests for commercial use and queries on rights and licensing, see http://www.who.int/about/licensing. -
Intracellular Calcium Dysregulation by the Alzheimer's Disease-Linked Protein Presenilin 2
International Journal of Molecular Sciences Review Intracellular Calcium Dysregulation by the Alzheimer’s Disease-Linked Protein Presenilin 2 1,2, 1, 1,2,3 1,2, 1,2 Luisa Galla y, Nelly Redolfi y, Tullio Pozzan , Paola Pizzo * and Elisa Greotti 1 Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy; [email protected] (L.G.); nelly.redolfi@unipd.it (N.R.); [email protected] (T.P.); [email protected] (E.G.) 2 Neuroscience Institute, National Research Council (CNR), 35131 Padua, Italy 3 Venetian Institute of Molecular Medicine (VIMM), 35131 Padua, Italy * Correspondence: [email protected] These authors contributed equally to this work. y Received: 17 December 2019; Accepted: 21 January 2020; Published: 24 January 2020 Abstract: Alzheimer’s disease (AD) is the most common form of dementia. Even though most AD cases are sporadic, a small percentage is familial due to autosomal dominant mutations in amyloid precursor protein (APP), presenilin-1 (PSEN1), and presenilin-2 (PSEN2) genes. AD mutations contribute to the generation of toxic amyloid β (Aβ) peptides and the formation of cerebral plaques, leading to the formulation of the amyloid cascade hypothesis for AD pathogenesis. Many drugs have been developed to inhibit this pathway but all these approaches currently failed, raising the need to find additional pathogenic mechanisms. Alterations in cellular calcium (Ca2+) signaling have also been reported as causative of neurodegeneration. Interestingly, Aβ peptides, mutated presenilin-1 (PS1), and presenilin-2 (PS2) variously lead to modifications in Ca2+ homeostasis. In this contribution, we focus on PS2, summarizing how AD-linked PS2 mutants alter multiple Ca2+ pathways and the functional consequences of this Ca2+ dysregulation in AD pathogenesis. -
Late Stage Complications of Diabetes and Insulin Resistance
abetes & Di M f e o t a l b a o Soumya and Srilatha, J Diabetes Metab 2011, 2:9 n l r i s u m o DOI: 10.4172/2155-6156.1000167 J Journal of Diabetes and Metabolism ISSN: 2155-6156 Review Article Open Access Late Stage Complications of Diabetes and Insulin Resistance Soumya D 1* and Srilatha B 1Department of Microbiology, Chaitanya Postgraduate College, Kakatiya University, Warangal, India 2Department of Biotechnology, Presidency College, Bangalore University, India Abstract Diabetes mellitus is considered one of the main threats to human health in the 21st century. Diabetes is a metabolic disorder or a chronic condition where the sugar levels in blood are high. Diabetes is associated with long-term complications that affect almost every part of the body and often leads to blindness, heart and blood vessel disease, stroke, kidney failure, amputations, and nerve damage. Also it is associated with significantly accelerated rates of several debilitating microvascular complications such as nephropathy, retinopathy, and neuropathy, and macrovascular complications such as atherosclerosis and stroke. In the present article it has been discussed about the resistance of insulin and its consequences in diabetic patients. Insulin resistance results in various disorders. Metabolic syndrome is predicted to become a major public health problem in many developed, as well as developing countries. Keywords: Diabetes; Complications; Insulin; Insulin resistance; [6] characterized by the expansion of pathogenic T effector cells metabolic syndrome which cause the irreversible destruction of insulin producing β cells and thereby limits insulin production and glucose homeostasis [7]. A Abbreviations: DM: Diabetes mellitus; T2D: Type2 diabetes; Type membrane bound protein expressed by the islet cells is shown to act 2 diabetes mellitus (T2DM); Impaired glucose tolerance (IGT); CVD: as a major auto antigen in T1D [8]. -
Supplementary Table 1. Hypermethylated Loci in Estrogen-Pre-Exposed Stem/Progenitor-Derived Epithelial Cells
Supplementary Table 1. Hypermethylated loci in estrogen-pre-exposed stem/progenitor-derived epithelial cells. Entrez Gene Probe genomic location* Control# Pre-exposed# Description Gene ID name chr5:134392762-134392807 5307 PITX1 -0.112183718 6.077605311 paired-like homeodomain transcription factor 1 chr12:006600331-006600378 171017 ZNF384 -0.450661784 6.034362758 zinc finger protein 384 57121 GPR92 G protein-coupled receptor 92 chr3:015115848-015115900 64145 ZFYVE20 -1.38491748 5.544950925 zinc finger, FYVE domain containing 20 chr7:156312210-156312270 -2.026450994 5.430611412 chr4:009794114-009794159 9948 WDR1 0.335617144 5.352264173 WD repeat domain 1 chr17:007280631-007280676 284114 TMEM102 -2.427266294 5.060047786 transmembrane protein 102 chr20:055274561-055274606 655 BMP7 0.764898513 5.023260524 bone morphogenetic protein 7 chr10:088461669-088461729 11155 LDB3 0 4.817869864 LIM domain binding 3 chr7:005314259-005314304 80028 FBXL18 0.921361233 4.779265347 F-box and leucine-rich repeat protein 18 chr9:130571259-130571313 59335 PRDM12 1.123111331 4.740306098 PR domain containing 12 chr2:054768043-054768088 6711 SPTBN1 -0.089623066 4.691756995 spectrin, beta, non-erythrocytic 1 chr10:070330822-070330882 79009 DDX50 -2.848748309 4.691491169 DEAD (Asp-Glu-Ala-Asp) box polypeptide 50 chr1:162469807-162469854 54499 TMCO1 1.495802762 4.655023656 transmembrane and coiled-coil domains 1 chr2:080442234-080442279 1496 CTNNA2 1.296310425 4.507269831 catenin (cadherin-associated protein), alpha 2 347730 LRRTM1 leucine rich repeat transmembrane -
Genomic Locus Modulating IOP in the BXD RI Mouse Strains
INVESTIGATION Genomic Locus Modulating IOP in the BXD RI Mouse Strains Rebecca King,* Ying Li,* Jiaxing Wang,*,† Felix L. Struebing,* and Eldon E. Geisert*,1 *Department of Ophthalmology, Emory University, Atlanta, Georgia 30322 and †Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, China ORCID IDs: 0000-0003-0874-0102 (R.K.); 0000-0002-9615-4914 (Y.L.); 0000-0001-8958-6893 (J.W.); 0000-0002-9436-6294 (F.L.S.); 0000-0003-0787-4416 (E.E.G.) ABSTRACT Intraocular pressure (IOP) is the primary risk factor for developing glaucoma, yet little is known KEYWORDS about the contribution of genomic background to IOP regulation. The present study leverages an array of BXD systems genetics tools to study genomic factors modulating normal IOP in the mouse. The BXD cadherin recombinant inbred (RI) strain set was used to identify genomic loci modulating IOP. We measured the eye IOP in a total of 506 eyes from 38 different strains. Strain averages were subjected to conventional glaucoma quantitative trait analysis by means of composite interval mapping. Candidate genes were defined, and intraocular immunohistochemistry and quantitative PCR (qPCR) were used for validation. Of the 38 BXD strains pressure examined the mean IOP ranged from a low of 13.2mmHg to a high of 17.1mmHg. The means for each strain IOP were used to calculate a genome wide interval map. One significant quantitative trait locus (QTL) was found mouse on Chr.8 (96 to 103 Mb). Within this 7 Mb region only 4 annotated genes were found: Gm15679, Cdh8, quantitative trait Cdh11 and Gm8730. Only two genes (Cdh8 and Cdh11) were candidates for modulating IOP based on the mapping presence of non-synonymous SNPs.