Congenital Myasthenic Syndromes Josef Finsterer
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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. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
Genomic Landscape and Clonal Architecture of Mouse Oral Squamous Cell Carcinomas Dictate Tumour Ecology
ARTICLE https://doi.org/10.1038/s41467-020-19401-9 OPEN Genomic landscape and clonal architecture of mouse oral squamous cell carcinomas dictate tumour ecology Inês Sequeira1,2, Mamunur Rashid3,5, Inês M. Tomás1,5, Marc J. Williams 4, Trevor A. Graham 4, ✉ David J. Adams 3, Alessandra Vigilante1 & Fiona M. Watt 1 1234567890():,; To establish whether 4-nitroquinoline N-oxide-induced carcinogenesis mirrors the hetero- geneity of human oral squamous cell carcinoma (OSCC), we have performed genomic analysis of mouse tongue lesions. The mutational signatures of human and mouse OSCC overlap extensively. Mutational burden is higher in moderate dysplasias and invasive SCCs than in hyperplasias and mild dysplasias, although mutations in p53, Notch1 and Fat1 occur in early lesions. Laminin-α3 mutations are associated with tumour invasiveness and Notch1 mutant tumours have an increased immune infiltrate. Computational modelling of clonal dynamics indicates that high genetic heterogeneity may be a feature of those mild dysplasias that are likely to progress to more aggressive tumours. These studies provide a foundation for exploring OSCC evolution, heterogeneity and progression. 1 Centre for Stem Cells & Regenerative Medicine, King’s College London, Guy’s Hospital, Great Maze Pond, London SE1 9RT, UK. 2 Institute of Dentistry, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London E1 2AT, UK. 3 Experimental Cancer Genetics, The Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK. 4 Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK. 5These authors contributed equally: Mamunur Rashid and Inês M. -
Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed Hipscs To
Hindawi Publishing Corporation Stem Cells International Volume 2013, Article ID 784629, 25 pages http://dx.doi.org/10.1155/2013/784629 Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed hiPSCs to Differentiated Neuronal and Cardiac Progeny Leonhard Linta,1 Marianne Stockmann,1 Qiong Lin,2 André Lechel,3 Christian Proepper,1 Tobias M. Boeckers,1 Alexander Kleger,3 and Stefan Liebau1 1 InstituteforAnatomyCellBiology,UlmUniversity,Albert-EinsteinAllee11,89081Ulm,Germany 2 Institute for Biomedical Engineering, Department of Cell Biology, RWTH Aachen, Pauwelstrasse 30, 52074 Aachen, Germany 3 Department of Internal Medicine I, Ulm University, Albert-Einstein Allee 11, 89081 Ulm, Germany Correspondence should be addressed to Alexander Kleger; [email protected] and Stefan Liebau; [email protected] Received 31 January 2013; Accepted 6 March 2013 Academic Editor: Michael Levin Copyright © 2013 Leonhard Linta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Ion channels are involved in a large variety of cellular processes including stem cell differentiation. Numerous families of ion channels are present in the organism which can be distinguished by means of, for example, ion selectivity, gating mechanism, composition, or cell biological function. To characterize the distinct expression of this group of ion channels we have compared the mRNA expression levels of ion channel genes between human keratinocyte-derived induced pluripotent stem cells (hiPSCs) and their somatic cell source, keratinocytes from plucked human hair. This comparison revealed that 26% of the analyzed probes showed an upregulation of ion channels in hiPSCs while just 6% were downregulated. -
The First Case of Congenital Myasthenic Syndrome Caused by A
G C A T T A C G G C A T genes Case Report The First Case of Congenital Myasthenic Syndrome Caused by a Large Homozygous Deletion in the C-Terminal Region of COLQ (Collagen Like Tail Subunit of Asymmetric Acetylcholinesterase) Protein Nicola Laforgia 1 , Lucrezia De Cosmo 1, Orazio Palumbo 2 , Carlotta Ranieri 3, Michela Sesta 4, Donatella Capodiferro 1, Antonino Pantaleo 3 , Pierluigi Iapicca 5 , Patrizia Lastella 6, Manuela Capozza 1 , Federico Schettini 1, Nenad Bukvic 7 , Rosanna Bagnulo 3 and Nicoletta Resta 3,7,* 1 Section of Neonatology and Neonatal Intensive Care Unit, Department of Biomedical Science and Human Oncology (DIMO), University of Bari “Aldo Moro”, 70124 Bari, Italy; [email protected] (N.L.); [email protected] (L.D.C.); [email protected] (D.C.); [email protected] (M.C.); [email protected] (F.S.) 2 Division of Medical Genetics, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy; [email protected] 3 Division of Medical Genetics, Department of Biomedical Sciences and Human Oncology (DIMO), University of Bari “Aldo Moro”, 70124 Bari, Italy; [email protected] (C.R.); [email protected] (A.P.); [email protected] (R.B.) 4 Neurology Unit, University Hospital Consortium Corporation Polyclinic of Bari, 70124 Bari, Italy; [email protected] 5 SOPHiA GENETICS SA HQ, 1025 Saint-Sulpice, Switzerland; [email protected] 6 Rare Diseases Centre—Internal Medicine Unit “C. Frugoni”, Polyclinic of Bari, 70124 Bari, Italy; [email protected] 7 Medical Genetics Section, University Hospital Consortium Corporation Polyclinic of Bari, 70124 Bari, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-0805593619 Received: 17 November 2020; Accepted: 15 December 2020; Published: 18 December 2020 Abstract: Congenital myasthenic syndromes (CMSs) are caused by mutations in genes that encode proteins involved in the organization, maintenance, function, or modification of the neuromuscular junction. -
Limb Girdle Myasthenia with Digenic RAPSN and a Novel Disease Gene AK9 Mutations
European Journal of Human Genetics (2017) 25, 192–199 & 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 1018-4813/17 www.nature.com/ejhg ARTICLE Limb girdle myasthenia with digenic RAPSN and a novel disease gene AK9 mutations Ching-Wan Lam*,1,3, Ka-Sing Wong2,3, Ho-Wan Leung2 and Chun-Yiu Law1 Though dysfunction of neuromuscular junction (NMJ) is associated with congenital myasthenic syndrome (CMS), the proteins involved in neuromuscular transmission have not been completely identified. In this study, we aimed to identify a novel CMS gene in a consanguineous family with limb-girdle type CMS. Homozygosity mapping of the novel CMS gene was performed using high-density single-nucleotide polymorphism microarrays. The variants in CMS gene were identified by whole-exome sequencing (WES) and Sanger sequencing. A 20 MB-region of homozygosity (ROH) was mapped on chromosome 6q15–21. This was the only ROH that present in all clinically affected siblings and absent in all clinically unaffected siblings. WES showed a novel variant of AK9 gene located in this ROH. This variant was a start-gain mutation and introduced a cryptic 5′-UTR signal in intron 5 of the AK9 gene. The normal splicing signal would be interfered by the cryptic translation signal leading to defective splicing. Another 25 MB-ROH was found on chromosome 11p13–q12 in all siblings. WES showed a homozygous RAPSN pathogenic variant in this ROH. Since RAPSN-associated limb-girdle type CMS was only manifested in AK9 homozygous variant carriers, the disease phenotype was of digenic inheritance, and was determined by the novel disease modifier AK9 which provides NTPs for N-glycosylation. -
Stem Cells and Ion Channels
Stem Cells International Stem Cells and Ion Channels Guest Editors: Stefan Liebau, Alexander Kleger, Michael Levin, and Shan Ping Yu Stem Cells and Ion Channels Stem Cells International Stem Cells and Ion Channels Guest Editors: Stefan Liebau, Alexander Kleger, Michael Levin, and Shan Ping Yu Copyright © 2013 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “Stem Cells International.” All articles are open access articles distributed under the Creative Com- mons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editorial Board Nadire N. Ali, UK Joseph Itskovitz-Eldor, Israel Pranela Rameshwar, USA Anthony Atala, USA Pavla Jendelova, Czech Republic Hannele T. Ruohola-Baker, USA Nissim Benvenisty, Israel Arne Jensen, Germany D. S. Sakaguchi, USA Kenneth Boheler, USA Sue Kimber, UK Paul R. Sanberg, USA Dominique Bonnet, UK Mark D. Kirk, USA Paul T. Sharpe, UK B. Bunnell, USA Gary E. Lyons, USA Ashok Shetty, USA Kevin D. Bunting, USA Athanasios Mantalaris, UK Igor Slukvin, USA Richard K. Burt, USA Pilar Martin-Duque, Spain Ann Steele, USA Gerald A. Colvin, USA EvaMezey,USA Alexander Storch, Germany Stephen Dalton, USA Karim Nayernia, UK Marc Turner, UK Leonard M. Eisenberg, USA K. Sue O’Shea, USA Su-Chun Zhang, USA Marina Emborg, USA J. Parent, USA Weian Zhao, USA Josef Fulka, Czech Republic Bruno Peault, USA Joel C. Glover, Norway Stefan Przyborski, UK Contents Stem Cells and Ion Channels, Stefan Liebau, -
Ion Channels
UC Davis UC Davis Previously Published Works Title THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels. Permalink https://escholarship.org/uc/item/1442g5hg Journal British journal of pharmacology, 176 Suppl 1(S1) ISSN 0007-1188 Authors Alexander, Stephen PH Mathie, Alistair Peters, John A et al. Publication Date 2019-12-01 DOI 10.1111/bph.14749 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: Ion channels. British Journal of Pharmacology (2019) 176, S142–S228 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels Stephen PH Alexander1 , Alistair Mathie2 ,JohnAPeters3 , Emma L Veale2 , Jörg Striessnig4 , Eamonn Kelly5, Jane F Armstrong6 , Elena Faccenda6 ,SimonDHarding6 ,AdamJPawson6 , Joanna L Sharman6 , Christopher Southan6 , Jamie A Davies6 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 3Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 4Pharmacology and Toxicology, Institute of Pharmacy, University of Innsbruck, A-6020 Innsbruck, Austria 5School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 6Centre for Discovery Brain Science, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. -
Replicated Risk Nicotinic Cholinergic Receptor Genes for Nicotine Dependence
G C A T T A C G G C A T genes Article Replicated Risk Nicotinic Cholinergic Receptor Genes for Nicotine Dependence Lingjun Zuo 1, Rolando Garcia-Milian 2, Xiaoyun Guo 1,3,4,*, Chunlong Zhong 5,*, Yunlong Tan 6, Zhiren Wang 6, Jijun Wang 3, Xiaoping Wang 7, Longli Kang 8, Lu Lu 9,10, Xiangning Chen 11,12, Chiang-Shan R. Li 1 and Xingguang Luo 1,6,* 1 Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA; [email protected] (L.Z.); [email protected] (C.-S.R.L.) 2 Curriculum & Research Support Department, Cushing/Whitney Medical Library, Yale University School of Medicine, New Haven, CT 06510, USA; [email protected] 3 Shanghai Mental Health Center, Shanghai 200030, China; [email protected] 4 Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT 06510, USA 5 Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China 6 Biological Psychiatry Research Center, Beijing Huilongguan Hospital, Beijing 100096, China; [email protected] (Y.T.); [email protected] (Z.W.) 7 Department of Neurology, Shanghai First People’s Hospital, Shanghai Jiao Tong University, Shanghai 200080, China; [email protected] 8 Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Diseases of Tibet Autonomous Region, Xizang Minzu University School of Medicine, Xianyang, Shanxi 712082, China; [email protected] 9 Provincial Key Laboratory for Inflammation and Molecular Drug Target, Medical -
Congenital Myasthenic Syndrome Due to Mutation in CHRNE Gene
ORIGINAL ARTICLE Congenital myasthenic syndrome due to mutation in CHRNE gene Wrodzony zespół miasteniczny spowodowany mutacją w genie CHRNE Aleksandra Jastrzębska1, Anna Potulska-Chromik1, Anna Kostera-Pruszczyk1 1 Department of Neurology, Medical University of Warsaw, Warsaw, Poland DOI:10.20966/chn.2017.52.401 STRESZCZENIE ABSTRACT Wrodzone zespoły miasteniczne (CMS) należą do grupy chorób Congenital myasthenic syndromes (CMS) belong to a group rzadkich, heterogennych genetycznie. Są zaliczane do chorób of rare genetically heterogeneous diseases that affect neuro- złącza nerwowo – mięśniowego. Wśród CMS najczęściej wy- muscular junction. The most frequent are postsynaptic CMS. stępują postsynaptyczne CMS. Objawy mogą być zbliżone do Symptoms may mimic myasthenia gravis and diagnosis relies objawów autoimmunologicznej miastenii, a diagnostyka opiera on genetic testing. We report a case of a boy with CMS due się na badaniach genetycznych. W naszej pracy prezentujemy to CHRNE mutation and positive family history of autoimmune przypadek chłopca z wrodzonym zespołem miastenicznym spo- myasthenia gravis. wodowanym mutacją w genie CHRNE i z dodatnim wywiadem Key words: Congenital myasthenic syndromes, CHRNE muta- rodzinnym w kierunku autoimmunologicznej miastenii. tion, myasthenia gravis Słowa kluczowe: Wrodzone zespoły miasteniczne, mutacja CHRNE, miastenia gravis INTRODUCTION monitor was not relevant. Developmental milestones were Childhood neuromuscular junction disorders (NMJ) inc- normal, he started walking unsupported at 14 months of -
High Throughput Genetic Analysis of Congenital Myasthenic Syndromes Using Resequencing Microarrays Lisa Denning1, Jennifer A
High Throughput Genetic Analysis of Congenital Myasthenic Syndromes Using Resequencing Microarrays Lisa Denning1, Jennifer A. Anderson1, Ryan Davis2, Jeffrey P. Gregg2, Jennifer Kuzdenyi1, Ricardo A. Maselli1* 1 Department of Neurology, University of California at Davis, Davis, California, United States of America, 2 Department of Pathology, Medical Investigation of Neurodevelopmental Disorders Institute, University of California at Davis, Davis, California, United States of America Background. The use of resequencing microarrays for screening multiple, candidate disease loci is a promising alternative to conventional capillary sequencing. We describe the performance of a custom resequencing microarray for mutational analysis of Congenital Myasthenic Syndromes (CMSs), a group of disorders in which the normal process of neuromuscular transmission is impaired. Methodology/Principal Findings. Our microarray was designed to assay the exons and flanking intronic regions of 8 genes linked to CMSs. A total of 31 microarrays were hybridized with genomic DNA from either individuals with known CMS mutations or from healthy controls. We estimated an overall microarray call rate of 93.61%, and we found the percentage agreement between the microarray and capillary sequencing techniques to be 99.95%. In addition, our microarray exhibited 100% specificity and 99.99% reproducibility. Finally, the microarray detected 22 out of the 23 known missense mutations, but it failed to detect all 7 known insertion and deletion (indels) mutations, indicating an overall sensitivity of 73.33% and a sensitivity with respect to missense mutations of 95.65%. Conclusions/Significance. Overall, our microarray prototype exhibited strong performance and proved highly efficient for screening genes associated with CMSs. Until indels can be efficiently assayed with this technology, however, we recommend using resequencing microarrays for screening CMS mutations after common indels have been first assayed by capillary sequencing. -
Pathscore: a Web Tool for Identifying Altered Pathways in Cancer Data Stephen G
bioRxiv preprint doi: https://doi.org/10.1101/067090; this version posted August 1, 2016. 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. Vol. 00 no. 00 2016 BIOINFORMATICS Pages 1–2 PathScore: a web tool for identifying altered pathways in cancer data Stephen G. Gaffney1* and Jeffrey P. Townsend1,2 1 Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06511 2 Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511 ABSTRACT is mutated only once in a dataset will increase the enrichment score Summary: PathScore quantifies the level of enrichment of somatic if mutated in a patient with no other pathway alterations. mutations within curated pathways, applying a novel approach Applications of PathScore to lung adenocarcinoma and lung that identifies pathways enriched across patients. The application squamous cell carcinoma data from The Cancer Genome Atlas provides several user-friendly, interactive graphic interfaces for data (Kandoth, 2014) demonstrate its potential to uncover patterns in exploration, including tools for comparing pathway effect sizes, low frequency events (Fig. 1). Numerous pathways known to be frequently affected in these cancers are identified by PathScore. significance, gene-set overlap and enrichment differences between Additional pathways identified include the nicotinic acetylcholine projects. receptor (nAChR) and GABA receptor pathways (21% and 33% Availability and Implementation: Web application available at patient coverage, respectively). Hotnet2 results include their genes, pathscore.publichealth.yale.edu. Site implemented in Python and but scattered in separate low coverage subnetworks (max 10% and MySQL, with all major browsers supported.