Targeted Genes and Methodology Details for Inborn Errors of Metabolism Custom Gene Panel
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The CLN5 Disease
Mia-Lisa Schmiedt Mia-Lisa Schmiedt Mia-Lisa Schmiedt The CLN5 disease − RESEARCH protein maturation, RESEARCH The CLN5 disease − protein maturation, trafficking and pathology trafficking and pathology The CLN5 disease −protein maturation, trafficking and pathology and trafficking maturation, The CLN5 disease −protein Neuronal ceroid lipofuscinoses (NCLs) are a group of hereditary neurode- generative disorders primarily affecting children. Characteristics for NCLs are accumulation of autofluorescent storage material, neuronal degenera- tion, motor disturbances, progressive loss of vision and premature death. One member of the NCL family is the CLN5 disease, a late infantile variant phenotype form, caused by mutations in the CLN5 gene. CLN5 encodes a lysosomal protein of unidentified function. This thesis work contributes to the basic understanding of the molecular and cell biological mechanisms underlying CLN5 disease. Real-time PCR studies indicated that Cln5 gene expression increases gradually in the mouse brain with age and its expres- sion is highest in microglia. This thesis project further presents that the CLN5 protein is cleaved in the ER, trimmed and finally traffics to lysosomes. CLN5 constructs carrying different disease causing mutations revealed that trafficking is disturbed with varying severity depending on the particular mutation. Also, this work provides novel aspects about the early events in the pathogenesis of CLN5 disease, late infantile variant, links Cln5 to lipid metabolism and strengthens the recently reported -
Epidemiology of Mucopolysaccharidoses Update
diagnostics Review Epidemiology of Mucopolysaccharidoses Update Betul Celik 1,2 , Saori C. Tomatsu 2 , Shunji Tomatsu 1 and Shaukat A. Khan 1,* 1 Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE 19803, USA; [email protected] (B.C.); [email protected] (S.T.) 2 Department of Biological Sciences, University of Delaware, Newark, DE 19716, USA; [email protected] * Correspondence: [email protected]; Tel.: +302-298-7335; Fax: +302-651-6888 Abstract: Mucopolysaccharidoses (MPS) are a group of lysosomal storage disorders caused by a lysosomal enzyme deficiency or malfunction, which leads to the accumulation of glycosaminoglycans in tissues and organs. If not treated at an early stage, patients have various health problems, affecting their quality of life and life-span. Two therapeutic options for MPS are widely used in practice: enzyme replacement therapy and hematopoietic stem cell transplantation. However, early diagnosis of MPS is crucial, as treatment may be too late to reverse or ameliorate the disease progress. It has been noted that the prevalence of MPS and each subtype varies based on geographic regions and/or ethnic background. Each type of MPS is caused by a wide range of the mutational spectrum, mainly missense mutations. Some mutations were derived from the common founder effect. In the previous study, Khan et al. 2018 have reported the epidemiology of MPS from 22 countries and 16 regions. In this study, we aimed to update the prevalence of MPS across the world. We have collected and investigated 189 publications related to the prevalence of MPS via PubMed as of December 2020. In total, data from 33 countries and 23 regions were compiled and analyzed. -
Targeted Genes and Methodology Details for Neuromuscular Genetic Panels
Targeted Genes and Methodology Details for Neuromuscular Genetic Panels Reference transcripts based on build GRCh37 (hg19) interrogated by Neuromuscular Genetic Panels Next-generation sequencing (NGS) and/or Sanger sequencing is performed Motor Neuron Disease Panel to test for the presence of a mutation in these genes. Gene GenBank Accession Number Regions of homology, high GC-rich content, and repetitive sequences may ALS2 NM_020919 not provide accurate sequence. Therefore, all reported alterations detected ANG NM_001145 by NGS are confirmed by an independent reference method based on laboratory developed criteria. However, this does not rule out the possibility CHMP2B NM_014043 of a false-negative result in these regions. ERBB4 NM_005235 Sanger sequencing is used to confirm alterations detected by NGS when FIG4 NM_014845 appropriate.(Unpublished Mayo method) FUS NM_004960 HNRNPA1 NM_031157 OPTN NM_021980 PFN1 NM_005022 SETX NM_015046 SIGMAR1 NM_005866 SOD1 NM_000454 SQSTM1 NM_003900 TARDBP NM_007375 UBQLN2 NM_013444 VAPB NM_004738 VCP NM_007126 ©2018 Mayo Foundation for Medical Education and Research Page 1 of 14 MC4091-83rev1018 Muscular Dystrophy Panel Muscular Dystrophy Panel Gene GenBank Accession Number Gene GenBank Accession Number ACTA1 NM_001100 LMNA NM_170707 ANO5 NM_213599 LPIN1 NM_145693 B3GALNT2 NM_152490 MATR3 NM_199189 B4GAT1 NM_006876 MYH2 NM_017534 BAG3 NM_004281 MYH7 NM_000257 BIN1 NM_139343 MYOT NM_006790 BVES NM_007073 NEB NM_004543 CAPN3 NM_000070 PLEC NM_000445 CAV3 NM_033337 POMGNT1 NM_017739 CAVIN1 NM_012232 POMGNT2 -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology 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. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
An Interactive Web Application to Explore Regeneration-Associated Gene Expression and Chromatin Accessibility
Supplementary Materials Regeneration Rosetta: An interactive web application to explore regeneration-associated gene expression and chromatin accessibility Andrea Rau, Sumona P. Dhara, Ava J. Udvadia, Paul L. Auer 1. Table S1. List of cholesterol metabolic genes from MGI database 2. Table S2. List of differentially expressed transcripts during optic nerve regeneration in zebrafish using the MGI cholesterol metabolic gene queries in the Regeneration Rosetta app 3. Table S3. List of transcription factor encoding genes from brain cell bodies following spinal cord injury in lamprey over a course of 12 weeKs 4. Table S4. List of transcription factor encoding genes from spinal cell bodies following spinal cord injury in lamprey over a course of 12 weeks Ensembl ID MGI Gene ID Symbol Name ENSMUSG00000015243 MGI:99607 Abca1 ATP-binding cassette, sub-family A (ABC1), member 1 ENSMUSG00000026944 MGI:99606 Abca2 ATP-binding cassette, sub-family A (ABC1), member 2 ENSMUSG00000024030 MGI:107704 Abcg1 ATP binding cassette subfamily G member 1 ENSMUSG00000026003 MGI:87866 Acadl acyl-Coenzyme A dehydrogenase, long-chain ENSMUSG00000018574 MGI:895149 Acadvl acyl-Coenzyme A dehydrogenase, very long chain ENSMUSG00000038641 MGI:2384785 Akr1d1 aldo-keto reductase family 1, member D1 ENSMUSG00000028553 MGI:1353627 Angptl3 angiopoietin-like 3 ENSMUSG00000031996 MGI:88047 Aplp2 amyloid beta (A4) precursor-like protein 2 ENSMUSG00000032083 MGI:88049 Apoa1 apolipoprotein A-I ENSMUSG00000005681 MGI:88050 Apoa2 apolipoprotein A-II ENSMUSG00000032080 MGI:88051 Apoa4 -
Novel Gene Fusions in Glioblastoma Tumor Tissue and Matched Patient Plasma
cancers Article Novel Gene Fusions in Glioblastoma Tumor Tissue and Matched Patient Plasma 1, 1, 1 1 1 Lan Wang y, Anudeep Yekula y, Koushik Muralidharan , Julia L. Small , Zachary S. Rosh , Keiko M. Kang 1,2, Bob S. Carter 1,* and Leonora Balaj 1,* 1 Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; [email protected] (L.W.); [email protected] (A.Y.); [email protected] (K.M.); [email protected] (J.L.S.); [email protected] (Z.S.R.); [email protected] (K.M.K.) 2 School of Medicine, University of California San Diego, San Diego, CA 92092, USA * Correspondence: [email protected] (B.S.C.); [email protected] (L.B.) These authors contributed equally. y Received: 11 March 2020; Accepted: 7 May 2020; Published: 13 May 2020 Abstract: Sequencing studies have provided novel insights into the heterogeneous molecular landscape of glioblastoma (GBM), unveiling a subset of patients with gene fusions. Tissue biopsy is highly invasive, limited by sampling frequency and incompletely representative of intra-tumor heterogeneity. Extracellular vesicle-based liquid biopsy provides a minimally invasive alternative to diagnose and monitor tumor-specific molecular aberrations in patient biofluids. Here, we used targeted RNA sequencing to screen GBM tissue and the matched plasma of patients (n = 9) for RNA fusion transcripts. We identified two novel fusion transcripts in GBM tissue and five novel fusions in the matched plasma of GBM patients. The fusion transcripts FGFR3-TACC3 and VTI1A-TCF7L2 were detected in both tissue and matched plasma. -
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. -
Inborn Errors of Metabolism Test Requisition
LABORATORY OF GENETICS AND GENOMICS Mailing Address: For local courier service and/or inquiries, please contact 513-636-4474 • Fax: 513-636-4373 3333 Burnet Avenue, Room R1042 www.cincinnatichildrens.org/moleculargenetics • Email: [email protected] Cincinnati, OH 45229 INBORN ERRORS OF METABOLISM TEST REQUISITION All Information Must Be Completed Before Sample Can Be Processed PATIENT INFORMATION ETHNIC/RACIAL BACKGROUND (Choose All) Patient Name: ___________________ , ___________________ , ________ European American (White) African-American (Black) Last First MI Native American or Alaskan Asian-American Address: ____________________________________________________ Pacific Islander Ashkenazi Jewish ancestry ____________________________________________________ Latino-Hispanic _____________________________________________ Home Phone: ________________________________________________ (specify country/region of origin) MR# __________________ Date of Birth ________ / ________ / _______ Other ____________________________________________________ (specify country/region of origin) Gender: Male Female BILLING INFORMATION (Choose ONE method of payment) o REFERRING INSTITUTION o COMMERCIAL INSURANCE* Insurance can only be billed if requested at the time of service. Institution: ____________________________________________________ Policy Holder Name: _____________________________________________ Address: _____________________________________________________ Gender: ________________ Date of Birth ________ / ________ / _______ -
Palmitoyl-Protein Thioesterase 1 Deficiency in Drosophila Melanogaster Causes Accumulation
Genetics: Published Articles Ahead of Print, published on February 1, 2006 as 10.1534/genetics.105.053306 Palmitoyl-protein thioesterase 1 deficiency in Drosophila melanogaster causes accumulation of abnormal storage material and reduced lifespan Anthony J. Hickey*,†,1, Heather L. Chotkowski*, Navjot Singh*, Jeffrey G. Ault*, Christopher A. Korey‡,2, Marcy E. MacDonald‡, and Robert L. Glaser*,†,3 * Wadsworth Center, New York State Department of Health, Albany, NY 12201-2002 † Department of Biomedical Sciences, State University of New York, Albany, NY 12201-0509 ‡ Molecular Neurogenetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114 1 current address: Albany Medical College, Albany, NY 12208 2 current address: Department of Biology, College of Charleston, Charleston, SC 294243 3 corresponding author: Wadsworth Center, NYS Dept. Health, P. O. Box 22002, Albany, NY 12201-2002 E-mail: [email protected] 1 running title: Phenotypes of Ppt1-deficient Drosophila key words: Batten disease infantile neuronal ceroid lipofuscinosis palmitoyl-protein thioesterase CLN1 Drosophila corresponding author: Robert L. Glaser Wadsworth Center, NYS Dept. Health P. O. Box 22002 Albany, NY 12201-2002 E-mail: [email protected] phone: 518-473-4201 fax: 518-474-3181 2 ABSTRACT Human neuronal ceroid lipofuscinoses (NCLs) are a group of genetic neurodegenerative diseases characterized by progressive death of neurons in the central nervous system (CNS) and accumulation of abnormal lysosomal storage material. Infantile NCL (INCL), the most severe form of NCL, is caused by mutations in the Ppt1 gene, which encodes the lysosomal enzyme palmitoyl-protein thioesterase 1 (Ppt1). We generated mutations in the Ppt1 ortholog of Drosophila melanogaster in order to characterize phenotypes caused by Ppt1-deficiency in flies. -
743914V1.Full.Pdf
bioRxiv preprint doi: https://doi.org/10.1101/743914; this version posted August 24, 2019. 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. 1 Cross-talks of glycosylphosphatidylinositol biosynthesis with glycosphingolipid biosynthesis 2 and ER-associated degradation 3 4 Yicheng Wang1,2, Yusuke Maeda1, Yishi Liu3, Yoko Takada2, Akinori Ninomiya1, Tetsuya 5 Hirata1,2,4, Morihisa Fujita3, Yoshiko Murakami1,2, Taroh Kinoshita1,2,* 6 7 1Research Institute for Microbial Diseases, Osaka University, Suita, Osaka 565-0871, Japan 8 2WPI Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, 9 Japan 10 3Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, 11 School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China 12 4Current address: Center for Highly Advanced Integration of Nano and Life Sciences (G- 13 CHAIN), Gifu University, 1-1 Yanagido, Gifu-City, Gifu 501-1193, Japan 14 15 *Correspondence and requests for materials should be addressed to T.K. (email: 16 [email protected]) 17 18 19 Glycosylphosphatidylinositol (GPI)-anchored proteins and glycosphingolipids interact with 20 each other in the mammalian plasma membranes, forming dynamic microdomains. How their 21 interaction starts in the cells has been unclear. Here, based on a genome-wide CRISPR-Cas9 22 genetic screen for genes required for GPI side-chain modification by galactose in the Golgi 23 apparatus, we report that b1,3-galactosyltransferase 4 (B3GALT4), also called GM1 24 ganglioside synthase, additionally functions in transferring galactose to the N- 25 acetylgalactosamine side-chain of GPI. -
Deciphering the Gene Expression Profile of Peroxisome Proliferator
Chen et al. J Transl Med (2016) 14:157 DOI 10.1186/s12967-016-0871-3 Journal of Translational Medicine RESEARCH Open Access Deciphering the gene expression profile of peroxisome proliferator‑activated receptor signaling pathway in the left atria of patients with mitral regurgitation Mien‑Cheng Chen1*, Jen‑Ping Chang2, Yu‑Sheng Lin3, Kuo‑Li Pan3, Wan‑Chun Ho1, Wen‑Hao Liu1, Tzu‑Hao Chang4, Yao‑Kuang Huang5, Chih‑Yuan Fang1 and Chien‑Jen Chen1 Abstract Background: Differentially expressed genes in the left atria of mitral regurgitation (MR) pigs have been linked to peroxisome proliferator-activated receptor (PPAR) signaling pathway in the KEGG pathway. However, specific genes of the PPAR signaling pathway in the left atria of MR patients have never been explored. Methods: This study enrolled 15 MR patients with heart failure, 7 patients with aortic valve disease and heart failure, and 6 normal controls. We used PCR assay (84 genes) for PPAR pathway and quantitative RT-PCR to study specific genes of the PPAR pathway in the left atria. Results: Gene expression profiling analysis through PCR assay identified 23 genes to be differentially expressed in the left atria of MR patients compared to normal controls. The expressions of APOA1, ACADM, FABP3, ETFDH, ECH1, CPT1B, CPT2, SLC27A6, ACAA2, SMARCD3, SORBS1, EHHADH, SLC27A1, PPARGC1B, PPARA and CPT1A were significantly up-regulated, whereas the expression of PLTP was significantly down-regulated in the MR patients compared to normal controls. The expressions of HMGCS2, ACADM, FABP3, MLYCD, ECH1, ACAA2, EHHADH, CPT1A and PLTP were significantly up-regulated in the MR patients compared to patients with aortic valve disease. -
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