Sema4 Cardiac Information Sheet
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Diversity of Dolichol-Linked Precursors to Asn-Linked Glycans Likely Results from Secondary Loss of Sets of Glycosyltransferases
The diversity of dolichol-linked precursors to Asn-linked glycans likely results from secondary loss of sets of glycosyltransferases John Samuelson*†, Sulagna Banerjee*, Paula Magnelli*, Jike Cui*, Daniel J. Kelleher‡, Reid Gilmore‡, and Phillips W. Robbins* *Department of Molecular and Cell Biology, Boston University Goldman School of Dental Medicine, 715 Albany Street, Boston, MA 02118-2932; and ‡Department of Biochemistry and Molecular Biology, University of Massachusetts Medical School, Worcester, MA 01665-0103 Contributed by Phillips W. Robbins, December 17, 2004 The vast majority of eukaryotes (fungi, plants, animals, slime mold, to N-glycans of improperly folded proteins, which are retained in and euglena) synthesize Asn-linked glycans (Alg) by means of a the ER by conserved glucose-binding lectins (calnexin͞calreticulin) lipid-linked precursor dolichol-PP-GlcNAc2Man9Glc3. Knowledge of (13). Although the Alg glycosyltransferases in the lumen of ER this pathway is important because defects in the glycosyltrans- appear to be eukaryote-specific, archaea and Campylobacter sp. ferases (Alg1–Alg12 and others not yet identified), which make glycosylate the sequon Asn and͞or contain glycosyltransferases dolichol-PP-glycans, lead to numerous congenital disorders of with domains like those of Alg1, Alg2, Alg7, and STT3 (1, 14–16). glycosylation. Here we used bioinformatic and experimental Protists, unicellular eukaryotes, suggest three notable exceptions methods to characterize Alg glycosyltransferases and dolichol- to the N-linked glycosylation path described in yeast and animals PP-glycans of diverse protists, including many human patho- (17). First, the kinetoplastid Trypanosoma cruzi (cause of Chagas gens, with the following major conclusions. First, it is demon- myocarditis), fails to glucosylate the dolichol-PP-linked precursor strated that common ancestry is a useful method of predicting and so makes dolichol-PP-GlcNAc2Man9 (18). -
Blueprint Genetics Hereditary Leukemia Panel
Hereditary Leukemia Panel Test code: ON0101 Is a 41 gene panel that includes assessment of non-coding variants. Is ideal for patients with a personal history of a syndrome that confers an increased risk of leukemia or patients with a family history of a syndrome that confers an increased risk of leukemia. About Hereditary Leukemia An inherited predisposition to hematological malignancies, namely acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), and bone marrow myelodysplastic syndrome (MDS) may be associated with syndromic features or occur as the principal clinical feature. MDSs and AMLs can occur in the context of syndromic bone marrow failure (eg. dyskeratosis congenita, Fanconi anemia). Other hereditary syndromes with an increased risk of leukemia include Li-Fraumeni syndrome (TP53), ataxia telangiectasia (ATM), Bloom syndrome (BLM), neurofibromatosis type 1 (NF1) and less frequently Noonan syndrome (PTPN11, CBL). Some reports have also shown an association of biallelic germline mutations in constitutional mismatch repair-deficiency syndrome genes, MLH1, MSH2, MSH6, and PMS2 with the development of ALL. Isolated hematological malignancies are associated with germline mutations in RUNX1 (familial platelet syndrome with predisposition to acute myelogenous leukemia), CEBPA (familial AML), GATA2 (GATA2-associated syndromes) and DDX41(DDX41 -related myeloid neoplasms). There is a rapidly expanding list of germline mutations associated with increased risks for myeloid malignancies and inherited predisposition to hematologic malignancies may be more common than has been thought. Many different genetic defects associated with the development of leukemia have been described but the common underlying mechanism is a dysfunctional DNA damage response. Recognition of an inherited cause provides a specific molecular diagnosis and helps to guide treatment, understand unique disease features, prognosis and other organ systems that may be involved, and identify others in the family who may be at risk. -
Physical Interactions Between the Alg1, Alg2, and Alg11 Mannosyltransferases of the Endoplasmic Reticulum
Glycobiology vol. 14 no. 6 pp. 559±570, 2004 DOI: 10.1093/glycob/cwh072 Advance Access publication on March 24, 2004 Physical interactions between the Alg1, Alg2, and Alg11 mannosyltransferases of the endoplasmic reticulum Xiao-Dong Gao2, Akiko Nishikawa1, and Neta Dean1 begins on the cytosolic face of the ER, where seven sugars (two N-acetylglucoseamines and five mannoses) are added 1Department of Biochemistry and Cell Biology, Institute for Cell and Developmental Biology, State University of New York, Stony Brook, sequentially to dolichyl phosphate on the outer leaflet of NY 11794-5215, and 2Research Center for Glycoscience, National the ER, using nucleotide sugar donors (Abeijon and Institute of Advanced Industrial Science and Technology, Tsukuba Hirschberg, 1992; Perez and Hirschberg, 1986; Snider and Downloaded from https://academic.oup.com/glycob/article/14/6/559/638968 by guest on 30 September 2021 Central 6, 1-1 Higashi, Tsukuba 305-8566, Japan Rogers, 1984). After a ``flipping'' or translocation step, the Received on January 26, 2004; revised on March 2, 2004; accepted on last seven sugars (four mannoses and three glucoses) are March 2, 2004 added within the lumen of the ER, using dolichol-linked sugar donors (Burda and Aebi, 1999). Once assembled, the The early steps of N-linked glycosylation involve the synthesis oligosaccharide is transferred from the lipid to nascent of a lipid-linked oligosaccharide, Glc3Man9GlcNAc2-PP- protein in a reaction catalyzed by oligosaccharyltransferase. dolichol, on the endoplasmic reticulum (ER) membrane. After removal of terminal glucoses and a single mannose, Prior to its lumenal translocation and transfer to nascent nascent glycoproteins bearing the N-linked Man8GlcNAc2 glycoproteins, mannosylation of Man5GlcNAc2-PP-dolichol core can exit the ER to the Golgi, where this core may is catalyzed by the Alg1, Alg2, and Alg11 mannosyltrans- undergo further carbohydrate modifications. -
Prioritization of Variants Detected by Next Generation Sequencing According to the Mutation Tolerance and Mutational Architecture of the Corresponding Genes
International Journal of Molecular Sciences Review Prioritization of Variants Detected by Next Generation Sequencing According to the Mutation Tolerance and Mutational Architecture of the Corresponding Genes Iria Roca, Ana Fernández-Marmiesse, Sofía Gouveia, Marta Segovia and María L. Couce * Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain; [email protected] (I.R.); [email protected] (A.F.-M.); sofi[email protected] (S.G.); [email protected] (M.S.) * Correspondence: [email protected]; Tel.: +34-981-950-102 Received: 3 April 2018; Accepted: 23 May 2018; Published: 27 May 2018 Abstract: The biggest challenge geneticists face when applying next-generation sequencing technology to the diagnosis of rare diseases is determining which rare variants, from the dozens or hundreds detected, are potentially implicated in the patient’s phenotype. Thus, variant prioritization is an essential step in the process of rare disease diagnosis. In addition to conducting the usual in-silico analyses to predict variant pathogenicity (based on nucleotide/amino-acid conservation and the differences between the physicochemical features of the amino-acid change), three important concepts should be borne in mind. The first is the “mutation tolerance” of the genes in which variants are located. This describes the susceptibility of a given gene to any functional mutation and depends on the strength of purifying selection acting against it. The second is the “mutational architecture” of each gene. This describes the type and location of mutations previously identified in the gene, and their association with different phenotypes or degrees of severity. -
Clinical Utility Gene Card For: ALG1 Defective Congenital Disorder of Glycosylation
European Journal of Human Genetics (2015) 23, doi:10.1038/ejhg.2015.9 & 2015 Macmillan Publishers Limited All rights reserved 1018-4813/15 www.nature.com/ejhg CLINICAL UTILITY GENE CARD Clinical utility gene card for: ALG1 defective congenital disorder of glycosylation Jaak Jaeken*,1, Dirk Lefeber2 and Gert Matthijs3 European Journal of Human Genetics (2015) 23, doi:10.1038/ejhg.2015.9; published online 4 February 2015 1. DISEASE CHARACTERISTICS are known to the authors. The frequency and the prevalence of the 1.1 Name of the disease (synonyms) disease are not known. Deficiency of GDP-Man:GlcNAc2-PP-Dol mannosyltransferase, manno- syltransferase 1 deficiency, ALG1-CDG, CDG-Ik. 1.9 Diagnostic setting 1.2 OMIM# of the disease 608540 Yes No A. (Differential) diagnostics ⊠ ⊠ 1.3 Name of the analysed genes or DNA/chromosome segments: B. Predictive testing C. Risk assessment in relatives ⊠ □ ALG1. D. Prenatal ⊠ □ 1.4 OMIM# of the gene 605907. Comment: ALG1-CDG belongs to the five most common N-glycosylation 1.5 Mutational spectrum disorders together with PMM2-CDG, ALG6-CDG, MPI-CDG and Thirteen variants have been reported: ten missense variants, two SRD5A3-CDG. It is an autosomal recessive disease with a broad splicing variants and one deletion variant. The most frequent variant clinical spectrum, and with early death at the second day of life to – is c.773C4T(p.Ser258Leu)1–6 (www.lovd.nl/ALG1). The standard survival beyond the age of 20 years.1 10 Its phenotype is characterized reference sequence indicating reported variants (ENSG00000033011) by a predominant neurological involvement. -
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. -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal -
Congenital Disorders of Glycosylation from a Neurological Perspective
brain sciences Review Congenital Disorders of Glycosylation from a Neurological Perspective Justyna Paprocka 1,* , Aleksandra Jezela-Stanek 2 , Anna Tylki-Szyma´nska 3 and Stephanie Grunewald 4 1 Department of Pediatric Neurology, Faculty of Medical Science in Katowice, Medical University of Silesia, 40-752 Katowice, Poland 2 Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 01-138 Warsaw, Poland; [email protected] 3 Department of Pediatrics, Nutrition and Metabolic Diseases, The Children’s Memorial Health Institute, W 04-730 Warsaw, Poland; [email protected] 4 NIHR Biomedical Research Center (BRC), Metabolic Unit, Great Ormond Street Hospital and Institute of Child Health, University College London, London SE1 9RT, UK; [email protected] * Correspondence: [email protected]; Tel.: +48-606-415-888 Abstract: Most plasma proteins, cell membrane proteins and other proteins are glycoproteins with sugar chains attached to the polypeptide-glycans. Glycosylation is the main element of the post- translational transformation of most human proteins. Since glycosylation processes are necessary for many different biological processes, patients present a diverse spectrum of phenotypes and severity of symptoms. The most frequently observed neurological symptoms in congenital disorders of glycosylation (CDG) are: epilepsy, intellectual disability, myopathies, neuropathies and stroke-like episodes. Epilepsy is seen in many CDG subtypes and particularly present in the case of mutations -
Lamin A/C Cardiomyopathy: Implications for Treatment
Current Cardiology Reports (2019) 21:160 https://doi.org/10.1007/s11886-019-1224-7 MYOCARDIAL DISEASE (A ABBATE AND G SINAGRA, SECTION EDITORS) Lamin A/C Cardiomyopathy: Implications for Treatment Suet Nee Chen1 & Orfeo Sbaizero1,2 & Matthew R. G. Taylor1 & Luisa Mestroni1 # Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Purpose of Review The purpose of this review is to provide an update on lamin A/C (LMNA)-related cardiomyopathy and discuss the current recommendations and progress in the management of this disease. LMNA-related cardiomyopathy, an inherited autosomal dominant disease, is one of the most common causes of dilated cardiomyopathy and is characterized by steady progression toward heart failure and high risks of arrhythmias and sudden cardiac death. Recent Findings We discuss recent advances in the understanding of the molecular mechanisms of the disease including altered cell biomechanics, which may represent novel therapeutic targets to advance the current management approach, which relies on standard heart failure recommendations. Future therapeutic approaches include repurposed molecularly directed drugs, siRNA- based gene silencing, and genome editing. Summary LMNA-related cardiomyopathy is the focus of active in vitro and in vivo research, which is expected to generate novel biomarkers and identify new therapeutic targets. LMNA-related cardiomyopathy trials are currently underway. Keywords Lamin A/C gene . Laminopathy . Heart failure . Arrhythmias . Mechanotransduction . P53 . CRISPR–Cas9 therapy Introduction functions, including maintaining nuclear structural integrity, regulating gene expression, mechanosensing, and Mutations in the lamin A/C gene (LMNA)causelaminopathies, mechanotransduction through the lamina-associated proteins a heterogeneous group of inherited disorders including muscu- [6–11]. -
Cardiomyopathy Precision Panel Overview Indications
Cardiomyopathy Precision Panel Overview Cardiomyopathies are a group of conditions with a strong genetic background that structurally hinder the heart to pump out blood to the rest of the body due to weakness in the heart muscles. These diseases affect individuals of all ages and can lead to heart failure and sudden cardiac death. If there is a family history of cardiomyopathy it is strongly recommended to undergo genetic testing to be aware of the family risk, personal risk, and treatment options. Most types of cardiomyopathies are inherited in a dominant manner, which means that one altered copy of the gene is enough for the disease to present in an individual. The symptoms of cardiomyopathy are variable, and these diseases can present in different ways. There are 5 types of cardiomyopathies, the most common being hypertrophic cardiomyopathy: 1. Hypertrophic cardiomyopathy (HCM) 2. Dilated cardiomyopathy (DCM) 3. Restrictive cardiomyopathy (RCM) 4. Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) 5. Isolated Left Ventricular Non-Compaction Cardiomyopathy (LVNC). The Igenomix Cardiomyopathy Precision Panel serves as a diagnostic and tool ultimately leading to a better management and prognosis of the disease. It provides a comprehensive analysis of the genes involved in this disease using next-generation sequencing (NGS) to fully understand the spectrum of relevant genes. Indications The Igenomix Cardiomyopathy Precision Panel is indicated in those cases where there is a clinical suspicion of cardiomyopathy with or without the following manifestations: - Shortness of breath - Fatigue - Arrythmia (abnormal heart rhythm) - Family history of arrhythmia - Abnormal scans - Ventricular tachycardia - Ventricular fibrillation - Chest Pain - Dizziness - Sudden cardiac death in the family 1 Clinical Utility The clinical utility of this panel is: - The genetic and molecular diagnosis for an accurate clinical diagnosis of a patient with personal or family history of cardiomyopathy, channelopathy or sudden cardiac death. -
WES Gene Package Multiple Congenital Anomalie.Xlsx
Whole Exome Sequencing Gene package Multiple congenital anomalie, version 5, 1‐2‐2018 Technical information DNA was enriched using Agilent SureSelect Clinical Research Exome V2 capture and paired‐end sequenced on the Illumina platform (outsourced). The aim is to obtain 8.1 Giga base pairs per exome with a mapped fraction of 0.99. The average coverage of the exome is ~50x. Duplicate reads are excluded. Data are demultiplexed with bcl2fastq Conversion Software from Illumina. Reads are mapped to the genome using the BWA‐MEM algorithm (reference: http://bio‐bwa.sourceforge.net/). Variant detection is performed by the Genome Analysis Toolkit HaplotypeCaller (reference: http://www.broadinstitute.org/gatk/). The detected variants are filtered and annotated with Cartagenia software and classified with Alamut Visual. It is not excluded that pathogenic mutations are being missed using this technology. At this moment, there is not enough information about the sensitivity of this technique with respect to the detection of deletions and duplications of more than 5 nucleotides and of somatic mosaic mutations (all types of sequence changes). HGNC approved Phenotype description including OMIM phenotype ID(s) OMIM median depth % covered % covered % covered gene symbol gene ID >10x >20x >30x A4GALT [Blood group, P1Pk system, P(2) phenotype], 111400 607922 101 100 100 99 [Blood group, P1Pk system, p phenotype], 111400 NOR polyagglutination syndrome, 111400 AAAS Achalasia‐addisonianism‐alacrimia syndrome, 231550 605378 73 100 100 100 AAGAB Keratoderma, palmoplantar, -
Neoreviews Quiz
Birthmarks of Potential Medical Significance Jacinto A. Hernández and Joseph G. Morelli NeoReviews 2003;4;263 DOI: 10.1542/neo.4-10-e263 The online version of this article, along with updated information and services, is located on the World Wide Web at: http://neoreviews.aappublications.org/cgi/content/full/neoreviews;4/10/e263 NeoReviews is the official journal of the American Academy of Pediatrics. A monthly publication, it has been published continuously since 2000. NeoReviews is owned, published, and trademarked by the American Academy of Pediatrics, 141 Northwest Point Boulevard, Elk Grove Village, Illinois, 60007. Copyright © 2003 by the American Academy of Pediatrics. All rights reserved. Online ISSN: 1526-9906. Downloaded from http://neoreviews.aappublications.org by J Michael Coleman on August 19, 2010 Article dermatology Birthmarks of Potential Medical Significance Jacinto A. Herna´ndez, Objectives After completing this article, readers should be able to: MD*, Joseph G. Morelli, MD† 1. Describe the clinical manifestations of neurofibromatosis type 1. 2. List conditions associated with cafe´au lait macules. 3. Explain the clinical significance of congenital melanocytic nevi. 4. Characterize tuberous sclerosis complex. 5. List the two syndromes associated with port-wine stains and extracutaneous abnormalities. 6. Categorize and describe the three types of hemangiomas. Introduction Birthmarks are common (ϳ8% to 10%) in newborns. Most birthmarks represent vascular and pigmentary lesions. The natural history of these lesions varies from being transient phenomena and essentially normal variants of no clinical significance to permanent cutaneous abnormalities that may be associated with significant systemic complications or diseases. Table 1 lists some neonatal skin lesions that should be recognized by the clinician as clues to more serious disorders.