50 Clinical Neurogenetics Brent L

Total Page:16

File Type:pdf, Size:1020Kb

50 Clinical Neurogenetics Brent L 50 Clinical Neurogenetics Brent L. Fogel, Daniel H. Geschwind CHAPTER OUTLINE research has permitted dissection of the cellular machinery supporting the function of the brain and its connections while establishing causal relationships between such dysfunction, GENETICS IN CLINICAL NEUROLOGY human genetic variation, and various neurological diseases. In GENE EXPRESSION, DIVERSITY, AND REGULATION the modern practice of neurology, the use of genetics has DNA to RNA to Protein become widespread, and neurologists are confronted daily with data from an ever-increasing catalog of genetic studies TYPES OF GENETIC VARIATION AND MUTATIONS relating to conditions such as developmental disorders, Rare versus Common Variation dementia, ataxia, neuropathy, and epilepsy, to name but a few. Polymorphisms and Point Mutations The use of genetic information in the clinical evaluation of Structural Chromosomal Abnormalities and Copy neurological disease has expanded dramatically over the past Number Variation (CNV) decade. More efficient techniques for discovering disease genes Repeat Expansion Disorders have led to a greater availability of genetic testing in the clinic. CHROMOSOMAL ANALYSIS AND ABNORMALITIES Approximately one-third of pediatric neurology hospital admissions are related to a genetic diagnosis, and there are DISORDERS OF MENDELIAN INHERITANCE now hundreds of individual genetic tests available to the prac- Autosomal Dominant Disorders ticing neurologist, including several related to common dis- Autosomal Recessive Disorders eases. This number continues to increase rapidly (Fig. 50.1), Sex-Linked (X-Linked) Disorders but is rapidly being supplanted by the clinical availability of exome and genome sequencing, allowing neurologists to MENDELIAN DISEASE GENE IDENTIFICATION BY rapidly survey every gene in human genome for disease- LINKAGE ANALYSIS AND CHROMOSOME MAPPING causing mutations. NON-MENDELIAN PATTERNS OF INHERITANCE As neuroscience and genetic research have progressed, we Mitochondrial Disorders have been led to a deeper understanding of the sources and Imprinting nature of human genetic variation and its relationship to clini- Uniparental Disomy cal phenotypes. In the past there has been a tendency to consider genetic traits as either present or absent, and corre- COMMON NEUROLOGICAL DISORDERS AND COMPLEX spondingly, patients were either healthy or diseased; this is the DISEASE GENETICS traditional view of Mendelian, or single gene, conditions. Common Variants and Genome-Wide Association Although certain relatively rare neurological diseases— Studies Friedreich ataxia or Huntington disease (HD), for example— Rare Variants and Candidate Gene Resequencing can be traced to a single causal gene, the common forms of Copy Number Variation and Comparative Genomic other diseases such as Alzheimer dementia, stroke, epilepsy, Hybridization or autism usually arise from an interplay of multiple genes, each of which increases disease susceptibility and likely inter- GENOME/EXOME SEQUENCING IN CLINICAL PRACTICE acts with environmental factors. Subsequently, the realm of AND DISEASE GENE DISCOVERY the “sporadic” and the “idiopathic” has been challenged by FUTURE ROLE OF SYSTEMS BIOLOGY IN NEUROGENETIC the identification of genetic susceptibility factors, which has DISEASE sparked a flurry of investigation into a variety of genes and genetic markers that confer a risk of illness yet are not wholly ENVIRONMENTAL CONTRIBUTIONS TO NEUROGENETIC causative. Disease status may lie on the end of a continuum DISEASE of individual variation and thus can be considered a quantita- GENETICS AND THE PARADOX OF DISEASE DEFINITION tive rather than purely qualitative trait (Plomin et al., 2009). So, rather than using what might be considered an arbitrary CLINICAL APPROACH TO THE PATIENT WITH cutoff point, such as a specific number of senile plaques or SUSPECTED NEUROGENETIC DISEASE neuritic tangles that define affected or unaffected patients, one Evaluation and Diagnosis might instead think in terms of a continuum of pathology that Genetic Counseling relates to different levels of burden or susceptibility. Prognosis and Treatment As we continue to discover more genes involved either directly or indirectly in neurological disease pathogenesis, the amount of information available to the clinician grows, as do the challenges in interpreting this in a meaningful way for an individual patient. Much of this information, particularly with respect to genetic risk, is not a matter of a positive or negative GENETICS IN CLINICAL NEUROLOGY result, but instead is a feature to be incorporated into the Since the discovery of the structure of deoxyribonucleic acid clinical framework supporting an overall diagnosis. While (DNA) and the elucidation of the genetic mechanisms of modern neurologists need not also be geneticists, it is essential heredity, clinical neurology has benefited from advances in that they possess a firm understanding of the basics of human genetics and neuroscience. This clinically relevant basic genetics in order to be fully prepared to confront the litany of 648 Descargado de ClinicalKey.es desde Univ Antioquia septiembre 06, 2016. Para uso personal exclusivamente. No se permiten otros usos sin autorización. Copyright ©2016. Elsevier Inc. Todos los derechos reservados. Clinical Neurogenetics 649 2500 50 2250 2000 1750 1500 1250 1000 750 500 250 0 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 Fig. 50.1 Rapid growth of clinical testing for genetic disease. This graph plots the number of genetic diseases for which clinical testing was available over the period of 1993–2013, illustrating an approximate 20-fold increase in the number of testable disorders. (Data from GeneTests. Available at http://www.genetests.org/.) diagnostic information available today. This is becoming more contains one or more promoters, DNA sequences that allow for true as the use of clinical exome and genome sequencing the binding of a cellular protein complex that includes RNA becomes increasingly widespread. In this chapter we will polymerase and other factors that faithfully copy the DNA in discuss these essential basics and present examples of how the 5′ to 3′ direction in a process known as transcription. The genetic information has informed our understanding of resulting single-stranded molecule contains a ribose sugar unit disease definition and etiology, show how it is utilized in the in its backbone and thus the resulting molecule is termed practice of neurology today, and how it will be used even more ribonucleic acid, or RNA. RNA also differs from the template extensively in the future. Given the massive acceleration in DNA by the incorporation of uracil (U) in place of thymine technology, from microarrays to the methods enabling com- (T), as it also pairs efficiently with adenine, and thymine serves plete and efficient human genome sequencing, this future is a secondary role in DNA repair that is not necessary in RNA. closer than most realize and the era of genomic medicine is The sequence of the RNA matches the sense DNA strand and fast approaching. is therefore complementary to (and hence derived from) the antisense strand. GENE EXPRESSION, DIVERSITY, Transcribed coding RNA must be processed to become AND REGULATION protein-encoding messenger RNA (mRNA), a term used to dif- ferentiate these RNAs from all other types of RNA in the cell. The basic principles of molecular genetics are outlined in Fig. To become mature, RNA is stabilized by modification at the 50.2 and Table 50.1, and more detailed descriptions can be ends with a 7-methylguanosine 5′ cap and a long poly-A 3′ found elsewhere (Alberts et al., 2008; Griffiths et al., 2002; tail. A further critical stage in the maturation of the RNA mol- Lodish et al., 2008; Strachan and Read, 2003). To briefly sum- ecule involves a rearrangement process termed RNA splicing marize, deoxyribonucleic acid (DNA), found in the nucleus of (Fig. 50.3). This is necessary because the expressed coding all cells, comprises the raw material from which heritable sequences in DNA, called exons, of virtually every gene are information is transferred among individuals, with the sim- discontinuous and interspersed with long stretches of gener- plest heritable unit being the gene. DNA is composed of a ally nonconserved intervening sequences referred to as introns. series of individual nucleotides, all of which contain an identi- This, along with other mechanisms, likely plays an evolution- cal pentose (2′-deoxyribose)-phosphate backbone but differ ary role in the development of new genes by allowing for the at an attached base that can be adenine (A), guanine (G), shuffling of functional sequences (Babushok et al., 2007). thymine (T), or cytosine (C). A and G are purine bases and Nascent RNA molecules are recognized by the spliceosome, a pair with the pyrimidine bases T and C, respectively, to form protein complex that removes the introns and rejoins the a double-stranded helical structure which allows for semicon- exons. Not every exon is utilized at all times in every RNA servative bidirectional replication, the means by which DNA derived from a single gene. Exons may be skipped or included is copied in a precise and efficient manner. In total, there are in a regulated manner through alternative splicing, which approximately 3.2 billion base pairs in human DNA. By con- occurs in nearly 95% of all genes to create different isoforms vention, a DNA sequence is described by listing the bases as of that mRNA. The dynamic nature
Recommended publications
  • Design of a Bioactive Small Molecule That Targets R(AUUCU) Repeats in Spinocerebellar Ataxia 10
    ARTICLE Received 24 Jun 2015 | Accepted 18 Apr 2016 | Published 1 Jun 2016 DOI: 10.1038/ncomms11647 OPEN Design of a bioactive small molecule that targets r(AUUCU) repeats in spinocerebellar ataxia 10 Wang-Yong Yang1, Rui Gao2, Mark Southern3, Partha S. Sarkar2 & Matthew D. Disney1 RNA is an important target for chemical probes of function and lead therapeutics; however, it is difficult to target with small molecules. One approach to tackle this problem is to identify compounds that target RNA structures and utilize them to multivalently target RNA. Here we show that small molecules can be identified to selectively bind RNA base pairs by probing a library of RNA-focused small molecules. A small molecule that selectively binds AU base pairs informed design of a dimeric compound (2AU-2) that targets the pathogenic RNA, expanded r(AUUCU) repeats, that causes spinocerebellar ataxia type 10 (SCA10) in patient- derived cells. Indeed, 2AU-2 (50 nM) ameliorates various aspects of SCA10 pathology including improvement of mitochondrial dysfunction, reduced activation of caspase 3, and reduction of nuclear foci. These studies provide a first-in-class chemical probe to study SCA10 RNA toxicity and potentially define broadly applicable compounds targeting RNA AU base pairs in cells. 1 Departments of Chemistry and Neuroscience, The Scripps Research Institute, Scripps Florida, Jupiter, Florida 33458, USA. 2 Mitchell Center for Neurodegenerative Disorders, Department of Neurology, Neuroscience and Cell Biology, University of Texas Medical Branch, Galveston, Texas 77555, USA. 3 Informatics Core, The Scripps Research Institute, Scripps Florida, Jupiter, Florida 33458, USA. Correspondence and requests for materials should be addressed to M.D.D.
    [Show full text]
  • Differentially Expressed on Collagen Networks 1, 2, 10 © 2000-2009 Ingenuity Systems, Inc. All Rights Reserved. Symbol Entrez
    Differentially expressed on collagen Networks 1, 2, 10 © 2000-2009 Ingenuity Systems, Inc. All rights reserved. Symbol Entrez Gene Name Affymetrix Fold Change Location Family ALDH1A3 aldehyde dehydrogenase 1 family, member A3 203180_at -5.43125168 Cytoplasm enzyme 209772_s_ Plasma CD24 CD24 molecule at -4.32890229 Membrane other HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 204130_at -4.1099197 Cytoplasm enzyme Plasma AMOTL2 angiomotin like 2 203002_at -2.82872773 Membrane other transcription DLX2 distal-less homeobox 2 207147_at -2.74996362 Nucleus regulator 221215_s_ RIPK4 receptor-interacting serine-threonine kinase 4 at -2.56556472 Nucleus kinase PLK2 polo-like kinase 2 (Drosophila) 201939_at -2.47054478 Nucleus kinase ALDH3A1 aldehyde dehydrogenase 3 family, memberA1 205623_at -2.30532989 Cytoplasm enzyme TXNRD1 thioredoxin reductase 1 201266_at -2.27936909 Cytoplasm enzyme Extracellular CYR61 cysteine-rich, angiogenic inducer, 61 201289_at -2.09052668 Space other 214212_x_ FERMT2 fermitin family homolog 2 (Drosophila) at -1.87478183 Cytoplasm other Plasma RIT1 Ras-like without CAAX 1 209882_at -1.77586775 Membrane enzyme 210297_s_ Extracellular MSMB microseminoprotein, beta- at -1.72177723 Space other Extracellular PI3 peptidase inhibitor 3, skin-derived 203691_at -1.68135697 Space other ALDH3B1 aldehyde dehydrogenase 3 family, member B1 205640_at -1.67376791 Cytoplasm enzyme 202124_s_ Plasma TRAK2 trafficking protein, kinesin binding 2 at -1.6367793 Membrane transporter BMP and activin membrane-bound inhibitor Plasma BAMBI
    [Show full text]
  • Supplemental Information
    Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig.
    [Show full text]
  • Autosomal Dominant Cerebellar Ataxia Type I: a Review of the Phenotypic and Genotypic Characteristics
    Whaley et al. Orphanet Journal of Rare Diseases 2011, 6:33 http://www.ojrd.com/content/6/1/33 REVIEW Open Access Autosomal dominant cerebellar ataxia type I: A review of the phenotypic and genotypic characteristics Nathaniel Robb Whaley1,2, Shinsuke Fujioka2 and Zbigniew K Wszolek2* Abstract Type I autosomal dominant cerebellar ataxia (ADCA) is a type of spinocerebellar ataxia (SCA) characterized by ataxia with other neurological signs, including oculomotor disturbances, cognitive deficits, pyramidal and extrapyramidal dysfunction, bulbar, spinal and peripheral nervous system involvement. The global prevalence of this disease is not known. The most common type I ADCA is SCA3 followed by SCA2, SCA1, and SCA8, in descending order. Founder effects no doubt contribute to the variable prevalence between populations. Onset is usually in adulthood but cases of presentation in childhood have been reported. Clinical features vary depending on the SCA subtype but by definition include ataxia associated with other neurological manifestations. The clinical spectrum ranges from pure cerebellar signs to constellations including spinal cord and peripheral nerve disease, cognitive impairment, cerebellar or supranuclear ophthalmologic signs, psychiatric problems, and seizures. Cerebellar ataxia can affect virtually any body part causing movement abnormalities. Gait, truncal, and limb ataxia are often the most obvious cerebellar findings though nystagmus, saccadic abnormalities, and dysarthria are usually associated. To date, 21 subtypes have been identified: SCA1-SCA4, SCA8, SCA10, SCA12-SCA14, SCA15/16, SCA17-SCA23, SCA25, SCA27, SCA28 and dentatorubral pallidoluysian atrophy (DRPLA). Type I ADCA can be further divided based on the proposed pathogenetic mechanism into 3 subclasses: subclass 1 includes type I ADCA caused by CAG repeat expansions such as SCA1-SCA3, SCA17, and DRPLA, subclass 2 includes trinucleotide repeat expansions that fall outside of the protein-coding regions of the disease gene including SCA8, SCA10 and SCA12.
    [Show full text]
  • Downloaded from Dbgap (Phs000607.V1)
    bioRxiv preprint doi: https://doi.org/10.1101/751933; this version posted September 6, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Genetics and Pathway Analysis of Normative Cognitive Variation 2 in the Philadelphia Neurodevelopmental Cohort 3 4 Authors: 5 Shraddha Pai1, Shirley Hui1, Philipp Weber2, Owen Whitley1,3, Peipei Li4,5, Viviane Labrie4,5, Jan 6 Baumbach2,6, Gary D Bader1,3,7,8 7 8 Affiliations: 9 1. The Donnelly Centre, University of Toronto, Toronto, Canada 10 2. Department of Mathematics and Computer Science, University of Southern Denmark, Odense, 11 Denmark 12 3. Department of Molecular Genetics, University of Toronto, Toronto, Canada 13 4. Center for Neurodegenerative Science, Van Andel Research Institute, Grand Rapids, MI, USA 14 5. Division of Psychiatry and Behavioral Medicine, College of Human Medicine, Michigan State 15 University, Grand Rapids, MI, USA 16 6. TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany. 17 7. Department of Computer Science, University of Toronto, Toronto, Canada 18 8. The Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada 19 20 21 22 * [email protected] 23 24 Page 1 of 23 bioRxiv preprint doi: https://doi.org/10.1101/751933; this version posted September 6, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.
    [Show full text]
  • A Master Autoantigen-Ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases
    bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. A Master Autoantigen-ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases Julia Y. Wang1*, Michael W. Roehrl1, Victor B. Roehrl1, and Michael H. Roehrl2* 1 Curandis, New York, USA 2 Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA * Correspondence: [email protected] or [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract Chronic and debilitating autoimmune sequelae pose a grave concern for the post-COVID-19 pandemic era. Based on our discovery that the glycosaminoglycan dermatan sulfate (DS) displays peculiar affinity to apoptotic cells and autoantigens (autoAgs) and that DS-autoAg complexes cooperatively stimulate autoreactive B1 cell responses, we compiled a database of 751 candidate autoAgs from six human cell types. At least 657 of these have been found to be affected by SARS-CoV-2 infection based on currently available multi-omic COVID data, and at least 400 are confirmed targets of autoantibodies in a wide array of autoimmune diseases and cancer.
    [Show full text]
  • Molecular Evidence for Mitochondrial Dysfunction in Bipolar Disorder
    ORIGINAL ARTICLE Molecular Evidence for Mitochondrial Dysfunction in Bipolar Disorder Christine Konradi, PhD; Molly Eaton, BA; Matthew L. MacDonald, BS; John Walsh, MS; Francine M. Benes, MD, PhD; Stephan Heckers, MD Background: The disease mechanism of bipolar disor- Results: The expression of nuclear messenger RNA cod- der remains unknown. Recent studies have provided evi- ing for mitochondrial proteins was significantly de- dence for abnormal gene expression in bipolar disorder. creased in the hippocampus in subjects with bipolar dis- order but not in those with schizophrenia. Subjects with Objective: To determine the expression of 12558 nuclear bipolar disorder were characterized by a pronounced and genes in the human hippocampus in healthy control sub- extensive decrease in the expression of genes regulating jects and those with bipolar disorder or schizophrenia. oxidative phosphorylation and the adenosine triphos- phate–dependent process of proteasome degradation. Design: We used gene arrays to study messenger RNA expression. Data were verified with a real-time quanti- Conclusions: These findings point toward a wide- tative polymerase chain reaction assay. spread dysregulation of mitochondrial energy metabo- lism and downstream deficits of adenosine triphosphate– Subjects: We studied 10 healthy control subjects, 9 dependent processes in bipolar disorder. subjects with bipolar disorder, and 8 subjects with schizophrenia. Arch Gen Psychiatry. 2004;61:300-308 IPOLAR DISORDER AFFECTS chondrial genes coding for mitochon- approximately 0.5% of the drial proteins.8 In this article, we report world population, often that the expression of nuclear messenger leading to recurrent illness RNA (mRNA) coding for mitochondrial and a marked decline in so- proteins is significantly decreased in the Bcial function.1 The clinical features of bi- hippocampus in bipolar disorder but not polar disorder (ie, recurrent episodes of de- in schizophrenia.
    [Show full text]
  • Genetic Variation and Functional Analysis of the Cardiomedin Gene
    TECHNISCHE UNIVERSITÄT MÜNCHEN LEHRSTUHL FÜR EXPERIMENTELLE GENETIK Genetic Variation and Functional Analysis of the Cardiomedin Gene Zasie Susanne Schäfer Vollständiger Abdruck der von der Fakultät Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt der Technischen Universität München zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften genehmigten Dissertation. Vorsitzende: Univ.-Prof. A. Schnieke, Ph.D. Prüfer der Dissertation: 1. apl. Prof. Dr. J. Adamski 2. Univ.-Prof. Dr. Dr. H.-R. Fries 3. Univ.-Prof. Dr. Th. Meitinger Die Dissertation wurde am. 31.05.2011 bei der Technischen Universität München eingereicht und durch die Fakultät Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt am 02.04.2012 angenommen. Table of Contents Table of contents Abbreviations ........................................................................................................................ 7 1. Summary ..........................................................................................................................10 Zusammenfassung ...............................................................................................................11 2. Introduction ......................................................................................................................12 2.1 Genome-wide association studies (GWAS) and post-GWAS functional genomics ......12 2.2 Genetic influences on cardiac repolarization and sudden cardiac death syndrome in GWAS and the chromosome
    [Show full text]
  • Sheet1 Page 1 Gene Symbol Gene Description Entrez Gene ID
    Sheet1 RefSeq ID ProbeSets Gene Symbol Gene Description Entrez Gene ID Sequence annotation Seed matches location(s) Ago-2 binding specific enrichment (replicate 1) Ago-2 binding specific enrichment (replicate 2) OE lysate log2 fold change (replicate 1) OE lysate log2 fold change (replicate 2) Probability NM_022823 218843_at FNDC4 Homo sapiens fibronectin type III domain containing 4 (FNDC4), mRNA. 64838 TR(1..1649)CDS(367..1071) 1523..1530 3.73 1.77 -1.91 -0.39 1 NM_003919 204688_at SGCE Homo sapiens sarcoglycan, epsilon (SGCE), transcript variant 2, mRNA. 8910 TR(1..1709)CDS(112..1425) 1495..1501 3.09 1.56 -1.02 -0.27 1 NM_006982 206837_at ALX1 Homo sapiens ALX homeobox 1 (ALX1), mRNA. 8092 TR(1..1320)CDS(5..985) 916..923 2.99 1.93 -0.19 -0.33 1 NM_019024 233642_s_at HEATR5B Homo sapiens HEAT repeat containing 5B (HEATR5B), mRNA. 54497 TR(1..6792)CDS(97..6312) 5827..5834,4309..4315 3.28 1.51 -0.92 -0.23 1 NM_018366 223431_at CNO Homo sapiens cappuccino homolog (mouse) (CNO), mRNA. 55330 TR(1..1546)CDS(96..749) 1062..1069,925..932 2.89 1.51 -1.2 -0.41 1 NM_032436 226194_at C13orf8 Homo sapiens chromosome 13 open reading frame 8 (C13orf8), mRNA. 283489 TR(1..3782)CDS(283..2721) 1756..1762,3587..3594,1725..1731,3395..3402 2.75 1.72 -1.38 -0.34 1 NM_031450 221534_at C11orf68 Homo sapiens chromosome 11 open reading frame 68 (C11orf68), mRNA. 83638 TR(1..1568)CDS(153..908) 967..973 3.07 1.35 -0.72 -0.06 1 NM_033318 225795_at,225794_s_at C22orf32 Homo sapiens chromosome 22 open reading frame 32 (C22orf32), mRNA.
    [Show full text]
  • An Autoantigen-Ome from HS-Sultan B-Lymphoblasts Offers a Molecular Map for Investigating Autoimmune Sequelae of COVID-19
    bioRxiv preprint doi: https://doi.org/10.1101/2021.04.05.438500; this version posted April 6, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. An Autoantigen-ome from HS-Sultan B-Lymphoblasts Offers a Molecular Map for Investigating Autoimmune Sequelae of COVID-19 Julia Y. Wang1*, Wei Zhang2, Victor B. Roehrl1, Michael W. Roehrl1, and Michael H. Roehrl3,4* 1Curandis, New York, USA 2Department of Gastroenterology, Affiliated Hospital of Guizhou Medical University, Guizhou, China 3Department of Pathology and 4Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, USA *Correspondence: [email protected], [email protected] Keywords: Autoantigens, autoantibodies, autoimmunity, SARS-CoV-2, COVID, Epstein-Barr virus 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.04.05.438500; this version posted April 6, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract To understand how COVID-19 may induce autoimmune diseases, we have been compiling an atlas of COVID-autoantigens (autoAgs). Using dermatan sulfate (DS) affinity enrichment of autoantigenic proteins extracted from HS-Sultan lymphoblasts, we identified 362 DS-affinity proteins, of which at least 201 (56%) are confirmed autoAgs. Comparison with available multi-omic COVID data shows that 315 (87%) of the 362 proteins are affected in SARS-CoV-2 infection via altered expression, interaction with viral components, or modification by phosphorylation or ubiquitination, at least 186 (59%) of which are known autoAgs.
    [Show full text]
  • Intrinsic Disorder in Proteins with Pathogenic Repeat Expansions
    molecules Review Intrinsic Disorder in Proteins with Pathogenic Repeat Expansions April L. Darling 1,2,* ID and Vladimir N. Uversky 1,3,* ID 1 Department of Molecular Medicine, College of Medicine, Byrd Alzheimer’s Institute, University of South Florida, Tampa, FL 33612, USA 2 James A. Haley Veteran’s Hospital, Tampa, FL 33612, USA 3 Institute for Biological Instrumentation of the Russian Academy of Sciences, Pushchino, Moscow Region 142290, Russia * Correspondence: [email protected] (A.L.D.); [email protected] (V.N.U.); Tel.: +1-813-396-9249 (A.L.D.); +1-813-974-5816 (V.N.U.) Received: 8 November 2017; Accepted: 21 November 2017; Published: 24 November 2017 Abstract: Intrinsically disordered proteins and proteins with intrinsically disordered regions have been shown to be highly prevalent in disease. Furthermore, disease-causing expansions of the regions containing tandem amino acid repeats often push repetitive proteins towards formation of irreversible aggregates. In fact, in disease-relevant proteins, the increased repeat length often positively correlates with the increased aggregation efficiency and the increased disease severity and penetrance, being negatively correlated with the age of disease onset. The major categories of repeat extensions involved in disease include poly-glutamine and poly-alanine homorepeats, which are often times located in the intrinsically disordered regions, as well as repeats in non-coding regions of genes typically encoding proteins with ordered structures. Repeats in such non-coding regions of genes can be expressed at the mRNA level. Although they can affect the expression levels of encoded proteins, they are not translated as parts of an affected protein and have no effect on its structure.
    [Show full text]
  • A Master Autoantigen-Ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases
    bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. A Master Autoantigen-ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases Julia Y. Wang1*, Michael W. Roehrl1, Victor B. Roehrl1, and Michael H. Roehrl2* 1 Curandis, New York, USA 2 Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA * Correspondence: [email protected] or [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract Chronic and debilitating autoimmune sequelae pose a grave concern for the post-COVID-19 pandemic era. Based on our discovery that the glycosaminoglycan dermatan sulfate (DS) displays peculiar affinity to apoptotic cells and autoantigens (autoAgs) and that DS-autoAg complexes cooperatively stimulate autoreactive B1 cell responses, we compiled a database of 751 candidate autoAgs from six human cell types. At least 657 of these have been found to be affected by SARS-CoV-2 infection based on currently available multi-omic COVID data, and at least 400 are confirmed targets of autoantibodies in a wide array of autoimmune diseases and cancer.
    [Show full text]