RNASEH2B Related Adult-Onset Interferonopathy
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Supplement 1 Overview of Dystonia Genes
Supplement 1 Overview of genes that may cause dystonia in children and adolescents Gene (OMIM) Disease name/phenotype Mode of inheritance 1: (Formerly called) Primary dystonias (DYTs): TOR1A (605204) DYT1: Early-onset generalized AD primary torsion dystonia (PTD) TUBB4A (602662) DYT4: Whispering dystonia AD GCH1 (600225) DYT5: GTP-cyclohydrolase 1 AD deficiency THAP1 (609520) DYT6: Adolescent onset torsion AD dystonia, mixed type PNKD/MR1 (609023) DYT8: Paroxysmal non- AD kinesigenic dyskinesia SLC2A1 (138140) DYT9/18: Paroxysmal choreoathetosis with episodic AD ataxia and spasticity/GLUT1 deficiency syndrome-1 PRRT2 (614386) DYT10: Paroxysmal kinesigenic AD dyskinesia SGCE (604149) DYT11: Myoclonus-dystonia AD ATP1A3 (182350) DYT12: Rapid-onset dystonia AD parkinsonism PRKRA (603424) DYT16: Young-onset dystonia AR parkinsonism ANO3 (610110) DYT24: Primary focal dystonia AD GNAL (139312) DYT25: Primary torsion dystonia AD 2: Inborn errors of metabolism: GCDH (608801) Glutaric aciduria type 1 AR PCCA (232000) Propionic aciduria AR PCCB (232050) Propionic aciduria AR MUT (609058) Methylmalonic aciduria AR MMAA (607481) Cobalamin A deficiency AR MMAB (607568) Cobalamin B deficiency AR MMACHC (609831) Cobalamin C deficiency AR C2orf25 (611935) Cobalamin D deficiency AR MTRR (602568) Cobalamin E deficiency AR LMBRD1 (612625) Cobalamin F deficiency AR MTR (156570) Cobalamin G deficiency AR CBS (613381) Homocysteinuria AR PCBD (126090) Hyperphelaninemia variant D AR TH (191290) Tyrosine hydroxylase deficiency AR SPR (182125) Sepiaterine reductase -
Peripheral Neuropathy in Complex Inherited Diseases: an Approach To
PERIPHERAL NEUROPATHY IN COMPLEX INHERITED DISEASES: AN APPROACH TO DIAGNOSIS Rossor AM1*, Carr AS1*, Devine H1, Chandrashekar H2, Pelayo-Negro AL1, Pareyson D3, Shy ME4, Scherer SS5, Reilly MM1. 1. MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, WC1N 3BG, UK. 2. Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, WC1N 3BG, UK. 3. Unit of Neurological Rare Diseases of Adulthood, Carlo Besta Neurological Institute IRCCS Foundation, Milan, Italy. 4. Department of Neurology, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA 5. Department of Neurology, University of Pennsylvania, Philadelphia, PA 19014, USA. * These authors contributed equally to this work Corresponding author: Mary M Reilly Address: MRC Centre for Neuromuscular Diseases, 8-11 Queen Square, London, WC1N 3BG, UK. Email: [email protected] Telephone: 0044 (0) 203 456 7890 Word count: 4825 ABSTRACT Peripheral neuropathy is a common finding in patients with complex inherited neurological diseases and may be subclinical or a major component of the phenotype. This review aims to provide a clinical approach to the diagnosis of this complex group of patients by addressing key questions including the predominant neurological syndrome associated with the neuropathy e.g. spasticity, the type of neuropathy, and the other neurological and non- neurological features of the syndrome. Priority is given to the diagnosis of treatable conditions. Using this approach, we associated neuropathy with one of three major syndromic categories - 1) ataxia, 2) spasticity, and 3) global neurodevelopmental impairment. Syndromes that do not fall easily into one of these three categories can be grouped according to the predominant system involved in addition to the neuropathy e.g. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Phenotypic Spectrum and Long-Term Outcome in Children with Genetic Causes of Early-Onset Epileptic Encephalopathy
Phenotypic Spectrum and Long-term Outcome in Children With Genetic Causes of Early-onset Epileptic Encephalopathy Chunhui Hu Department of Neurology, Children’s Hospital of Fudan University Deying Liu Wuhan Children’s hospital, Tongji Medical college, Huazhong University of Science & Technology Tian Luo Department of Neurology, Children’s Hospital of Fudan University Yi Wang ( [email protected] ) Department of Neurology, Children’s Hospital of Fudan University Zhisheng Liu Wuhan Children’s hospital, Tongji Medical college, Huazhong University of Science & Technology Research Article Keywords: Phenotypic spectrum, Long-term outcome, Genetic, EOEE, Therapy Posted Date: March 11th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-257334/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/23 Abstract Background To explore the clinical phenotype and long-term outcome in children with genetic causes of early-onset epileptic encephalopathies. Methods The clinical data of 118 children between 2010 and 2020 was obtained and analyzed. The whole exome sequencing and copy number variation studies in family were used to nd pathogenic mutations. The conrmed mutations were veried by Sanger sequencing. Results Among 118 patients, 39 patients were diagnosed with DS, 18 were WS, 3 were OS, 3 were EME, 2 were MMFSI, 1 was GLUT1 deciency syndrome, 1 was Pyridoxine dependent epilepsy and 51 were non-symptomatic EOEEs. The initial EEG showed frequent multiple and multifocal sharp waves, spike waves, sharp slow waves or spike slow waves. In the later period, some transformed into infrequent discharging or normal EEG. 112 patients (112/118, 94.9%) showed normal brain MRI, and the remaining 6 had widened extracerebral space. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Supplementary Material
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Page 1 / 45 SUPPLEMENTARY MATERIAL Appendix A1: Neuropsychological protocol. Appendix A2: Description of the four cases at the transitional stage. Table A1: Clinical status and center proportion in each batch. Table A2: Complete output from EdgeR. Table A3: List of the putative target genes. Table A4: Complete output from DIANA-miRPath v.3. Table A5: Comparison of studies investigating miRNAs from brain samples. Figure A1: Stratified nested cross-validation. Figure A2: Expression heatmap of miRNA signature. Figure A3: Bootstrapped ROC AUC scores. Figure A4: ROC AUC scores with 100 different fold splits. Figure A5: Presymptomatic subjects probability scores. Figure A6: Heatmap of the level of enrichment in KEGG pathways. Kmetzsch V, et al. J Neurol Neurosurg Psychiatry 2021; 92:485–493. doi: 10.1136/jnnp-2020-324647 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Appendix A1. Neuropsychological protocol The PREV-DEMALS cognitive evaluation included standardized neuropsychological tests to investigate all cognitive domains, and in particular frontal lobe functions. The scores were provided previously (Bertrand et al., 2018). Briefly, global cognitive efficiency was evaluated by means of Mini-Mental State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS). Frontal executive functions were assessed with Frontal Assessment Battery (FAB), forward and backward digit spans, Trail Making Test part A and B (TMT-A and TMT-B), Wisconsin Card Sorting Test (WCST), and Symbol-Digit Modalities test. -
Practice Parameter for the Diagnosis and Management of Primary Immunodeficiency
Practice parameter Practice parameter for the diagnosis and management of primary immunodeficiency Francisco A. Bonilla, MD, PhD, David A. Khan, MD, Zuhair K. Ballas, MD, Javier Chinen, MD, PhD, Michael M. Frank, MD, Joyce T. Hsu, MD, Michael Keller, MD, Lisa J. Kobrynski, MD, Hirsh D. Komarow, MD, Bruce Mazer, MD, Robert P. Nelson, Jr, MD, Jordan S. Orange, MD, PhD, John M. Routes, MD, William T. Shearer, MD, PhD, Ricardo U. Sorensen, MD, James W. Verbsky, MD, PhD, David I. Bernstein, MD, Joann Blessing-Moore, MD, David Lang, MD, Richard A. Nicklas, MD, John Oppenheimer, MD, Jay M. Portnoy, MD, Christopher R. Randolph, MD, Diane Schuller, MD, Sheldon L. Spector, MD, Stephen Tilles, MD, Dana Wallace, MD Chief Editor: Francisco A. Bonilla, MD, PhD Co-Editor: David A. Khan, MD Members of the Joint Task Force on Practice Parameters: David I. Bernstein, MD, Joann Blessing-Moore, MD, David Khan, MD, David Lang, MD, Richard A. Nicklas, MD, John Oppenheimer, MD, Jay M. Portnoy, MD, Christopher R. Randolph, MD, Diane Schuller, MD, Sheldon L. Spector, MD, Stephen Tilles, MD, Dana Wallace, MD Primary Immunodeficiency Workgroup: Chairman: Francisco A. Bonilla, MD, PhD Members: Zuhair K. Ballas, MD, Javier Chinen, MD, PhD, Michael M. Frank, MD, Joyce T. Hsu, MD, Michael Keller, MD, Lisa J. Kobrynski, MD, Hirsh D. Komarow, MD, Bruce Mazer, MD, Robert P. Nelson, Jr, MD, Jordan S. Orange, MD, PhD, John M. Routes, MD, William T. Shearer, MD, PhD, Ricardo U. Sorensen, MD, James W. Verbsky, MD, PhD GlaxoSmithKline, Merck, and Aerocrine; has received payment for lectures from Genentech/ These parameters were developed by the Joint Task Force on Practice Parameters, representing Novartis, GlaxoSmithKline, and Merck; and has received research support from Genentech/ the American Academy of Allergy, Asthma & Immunology; the American College of Novartis and Merck. -
Transcriptomic and Proteomic Profiling Provides Insight Into
BASIC RESEARCH www.jasn.org Transcriptomic and Proteomic Profiling Provides Insight into Mesangial Cell Function in IgA Nephropathy † † ‡ Peidi Liu,* Emelie Lassén,* Viji Nair, Celine C. Berthier, Miyuki Suguro, Carina Sihlbom,§ † | † Matthias Kretzler, Christer Betsholtz, ¶ Börje Haraldsson,* Wenjun Ju, Kerstin Ebefors,* and Jenny Nyström* *Department of Physiology, Institute of Neuroscience and Physiology, §Proteomics Core Facility at University of Gothenburg, University of Gothenburg, Gothenburg, Sweden; †Division of Nephrology, Department of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan; ‡Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan; |Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; and ¶Integrated Cardio Metabolic Centre, Karolinska Institutet Novum, Huddinge, Sweden ABSTRACT IgA nephropathy (IgAN), the most common GN worldwide, is characterized by circulating galactose-deficient IgA (gd-IgA) that forms immune complexes. The immune complexes are deposited in the glomerular mesangium, leading to inflammation and loss of renal function, but the complete pathophysiology of the disease is not understood. Using an integrated global transcriptomic and proteomic profiling approach, we investigated the role of the mesangium in the onset and progression of IgAN. Global gene expression was investigated by microarray analysis of the glomerular compartment of renal biopsy specimens from patients with IgAN (n=19) and controls (n=22). Using curated glomerular cell type–specific genes from the published literature, we found differential expression of a much higher percentage of mesangial cell–positive standard genes than podocyte-positive standard genes in IgAN. Principal coordinate analysis of expression data revealed clear separation of patient and control samples on the basis of mesangial but not podocyte cell–positive standard genes. -
Cldn19 Clic2 Clmp Cln3
NewbornDx™ Advanced Sequencing Evaluation When time to diagnosis matters, the NewbornDx™ Advanced Sequencing Evaluation from Athena Diagnostics delivers rapid, 5- to 7-day results on a targeted 1,722-genes. A2ML1 ALAD ATM CAV1 CLDN19 CTNS DOCK7 ETFB FOXC2 GLUL HOXC13 JAK3 AAAS ALAS2 ATP1A2 CBL CLIC2 CTRC DOCK8 ETFDH FOXE1 GLYCTK HOXD13 JUP AARS2 ALDH18A1 ATP1A3 CBS CLMP CTSA DOK7 ETHE1 FOXE3 GM2A HPD KANK1 AASS ALDH1A2 ATP2B3 CC2D2A CLN3 CTSD DOLK EVC FOXF1 GMPPA HPGD K ANSL1 ABAT ALDH3A2 ATP5A1 CCDC103 CLN5 CTSK DPAGT1 EVC2 FOXG1 GMPPB HPRT1 KAT6B ABCA12 ALDH4A1 ATP5E CCDC114 CLN6 CUBN DPM1 EXOC4 FOXH1 GNA11 HPSE2 KCNA2 ABCA3 ALDH5A1 ATP6AP2 CCDC151 CLN8 CUL4B DPM2 EXOSC3 FOXI1 GNAI3 HRAS KCNB1 ABCA4 ALDH7A1 ATP6V0A2 CCDC22 CLP1 CUL7 DPM3 EXPH5 FOXL2 GNAO1 HSD17B10 KCND2 ABCB11 ALDOA ATP6V1B1 CCDC39 CLPB CXCR4 DPP6 EYA1 FOXP1 GNAS HSD17B4 KCNE1 ABCB4 ALDOB ATP7A CCDC40 CLPP CYB5R3 DPYD EZH2 FOXP2 GNE HSD3B2 KCNE2 ABCB6 ALG1 ATP8A2 CCDC65 CNNM2 CYC1 DPYS F10 FOXP3 GNMT HSD3B7 KCNH2 ABCB7 ALG11 ATP8B1 CCDC78 CNTN1 CYP11B1 DRC1 F11 FOXRED1 GNPAT HSPD1 KCNH5 ABCC2 ALG12 ATPAF2 CCDC8 CNTNAP1 CYP11B2 DSC2 F13A1 FRAS1 GNPTAB HSPG2 KCNJ10 ABCC8 ALG13 ATR CCDC88C CNTNAP2 CYP17A1 DSG1 F13B FREM1 GNPTG HUWE1 KCNJ11 ABCC9 ALG14 ATRX CCND2 COA5 CYP1B1 DSP F2 FREM2 GNS HYDIN KCNJ13 ABCD3 ALG2 AUH CCNO COG1 CYP24A1 DST F5 FRMD7 GORAB HYLS1 KCNJ2 ABCD4 ALG3 B3GALNT2 CCS COG4 CYP26C1 DSTYK F7 FTCD GP1BA IBA57 KCNJ5 ABHD5 ALG6 B3GAT3 CCT5 COG5 CYP27A1 DTNA F8 FTO GP1BB ICK KCNJ8 ACAD8 ALG8 B3GLCT CD151 COG6 CYP27B1 DUOX2 F9 FUCA1 GP6 ICOS KCNK3 ACAD9 ALG9 -
Mechanisms of HIV-1 Restriction by the Host Protein SAMHD1
Mechanisms of HIV-1 Restriction by the Host Protein SAMHD1 Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Jenna Marie Antonucci Graduate Program in Microbiology The Ohio State University 2018 Dissertation Committee Li Wu, Ph.D., Advisor Irina Artsimovitch, Ph.D. Jesse Kwiek, Ph.D. Karin Musier-Forsyth, Ph.D. Copyrighted by Jenna Marie Antonucci 2018 Abstract Human immunodeficiency virus type 1 (HIV-1) is a human retrovirus that replicates in cells via a well-characterized viral lifecycle. Inhibition at any step in the viral lifecycle results in downstream effects that can impair HIV-1 replication and restrict infection. For decades, researchers have been unable to determine the cause of myeloid-cell specific block in HIV-1 infection. In 2011, the discovery of the first mammalian deoxynucleoside triphosphate (dNTP) triphosphohydrolase (dNTPase) sterile alpha motif and HD domain containing protein 1 (SAMHD1) answered that question and introduced an entirely novel field of study focused on determining the mechanism and control of SAMHD1-mediated restriction of HIV-1 replication. Since then, the research on SAMHD1 has become a timely and imperative topic of virology. The following body of work includes studies furthering the field by confirming the established model and introducing a novel mechanism of SAMHD1-mediated suppression of HIV-1 replication. SAMHD1 was originally identified as a dGTP-dependent dNTPase that restricts HIV-1 infection by hydrolyzing intracellular dNTPs to a level that inhibits efficient reverse transcription of HIV-1 genomic RNA into complementary DNA (cDNA). -
A Dissertation Entitled the Androgen Receptor
A Dissertation entitled The Androgen Receptor as a Transcriptional Co-activator: Implications in the Growth and Progression of Prostate Cancer By Mesfin Gonit Submitted to the Graduate Faculty as partial fulfillment of the requirements for the PhD Degree in Biomedical science Dr. Manohar Ratnam, Committee Chair Dr. Lirim Shemshedini, Committee Member Dr. Robert Trumbly, Committee Member Dr. Edwin Sanchez, Committee Member Dr. Beata Lecka -Czernik, Committee Member Dr. Patricia R. Komuniecki, Dean College of Graduate Studies The University of Toledo August 2011 Copyright 2011, Mesfin Gonit This document is copyrighted material. Under copyright law, no parts of this document may be reproduced without the expressed permission of the author. An Abstract of The Androgen Receptor as a Transcriptional Co-activator: Implications in the Growth and Progression of Prostate Cancer By Mesfin Gonit As partial fulfillment of the requirements for the PhD Degree in Biomedical science The University of Toledo August 2011 Prostate cancer depends on the androgen receptor (AR) for growth and survival even in the absence of androgen. In the classical models of gene activation by AR, ligand activated AR signals through binding to the androgen response elements (AREs) in the target gene promoter/enhancer. In the present study the role of AREs in the androgen- independent transcriptional signaling was investigated using LP50 cells, derived from parental LNCaP cells through extended passage in vitro. LP50 cells reflected the signature gene overexpression profile of advanced clinical prostate tumors. The growth of LP50 cells was profoundly dependent on nuclear localized AR but was independent of androgen. Nevertheless, in these cells AR was unable to bind to AREs in the absence of androgen. -
Linking Cellular Stress Responses to Systemic Homeostasis Lorenzo Galluzzi, Takahiro Yamazaki, Guido Kroemer
Linking cellular stress responses to systemic homeostasis Lorenzo Galluzzi, Takahiro Yamazaki, Guido Kroemer To cite this version: Lorenzo Galluzzi, Takahiro Yamazaki, Guido Kroemer. Linking cellular stress responses to systemic homeostasis. Nature Reviews Molecular Cell Biology, Nature Publishing Group, 2018, 19 (11), pp.731- 745. 10.1038/s41580-018-0068-0. hal-02022975 HAL Id: hal-02022975 https://hal.sorbonne-universite.fr/hal-02022975 Submitted on 18 Feb 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Linking cellular stress responses to systemic homeostasis Lorenzo Galluzzi1,2,3,10*, Takahiro Yamazaki1 and Guido Kroemer3,4,5,6,7,8,9,10* Abstract | Mammalian cells respond to stress by activating mechanisms that support cellular functions and hence maintain microenvironmental and organismal homeostasis. Intracellular responses to stress, their regulation and their pathophysiological implications have been extensively studied. However, little is known about the signals that emanate from stressed cells to enable a coordinated adaptive response