Blueprint Genetics Neuronal Migration Disorder Panel
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The Hydrolethalus Syndrome Protein HYLS-1 Regulates Formation of the Ciliary Gate
ARTICLE Received 8 Sep 2015 | Accepted 30 Jun 2016 | Published 18 Aug 2016 DOI: 10.1038/ncomms12437 OPEN The hydrolethalus syndrome protein HYLS-1 regulates formation of the ciliary gate Qing Wei1,2,*, Yingyi Zhang1,*, Clementine Schouteden3, Yuxia Zhang1, Qing Zhang1, Jinhong Dong1, Veronika Wonesch3, Kun Ling1, Alexander Dammermann3 & Jinghua Hu1,4,5 Transition fibres (TFs), together with the transition zone (TZ), are basal ciliary structures thought to be crucial for cilium biogenesis and function by acting as a ciliary gate to regulate selective protein entry and exit. Here we demonstrate that the centriolar and basal body protein HYLS-1, the C. elegans orthologue of hydrolethalus syndrome protein 1, is required for TF formation, TZ organization and ciliary gating. Loss of HYLS-1 compromises the docking and entry of intraflagellar transport (IFT) particles, ciliary gating for both membrane and soluble proteins, and axoneme assembly. Additional depletion of the TF component DYF-19 in hyls-1 mutants further exacerbates TZ anomalies and completely abrogates ciliogenesis. Our data support an important role for HYLS-1 and TFs in establishment of the ciliary gate and underline the importance of selective protein entry for cilia assembly. 1 Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota 55905, USA. 2 Key Laboratory of Insect Developmental and Evolutionary Biology, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China. 3 Max F. Perutz Laboratories, Vienna Biocenter (VBC), University of Vienna, A-1030 Vienna, Austria. 4 Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota 55905, USA. 5 Mayo Translational PKD Center, Mayo Clinic, Rochester, Minnesota 55905, USA. -
Unraveling the Genetics of Joubert and Meckel-Gruber Syndromes
Journal of Pediatric Genetics 3 (2014) 65–78 65 DOI 10.3233/PGE-14090 IOS Press Unraveling the genetics of Joubert and Meckel-Gruber syndromes Katarzyna Szymanska, Verity L. Hartill and Colin A. Johnson∗ Department of Ophthalmology and Neuroscience, University of Leeds, Leeds, UK Received 27 May 2014 Revised 11 July 2014 Accepted 14 July 2014 Abstract. Joubert syndrome (JBTS) and Meckel-Gruber syndrome (MKS) are recessive neurodevelopmental conditions caused by mutations in proteins that are structural or functional components of the primary cilium. In this review, we provide an overview of their clinical diagnosis, management and molecular genetics. Both have variable phenotypes, extreme genetic heterogeneity, and display allelism both with each other and other ciliopathies. Recent advances in genetic technology have significantly improved diagnosis and clinical management of ciliopathy patients, with the delineation of some general genotype-phenotype correlations. We highlight those that are most relevant for clinical practice, including the correlation between TMEM67 mutations and the JBTS variant phenotype of COACH syndrome. The subcellular localization of the known MKS and JBTS proteins is now well-described, and we discuss some of the contemporary ideas about ciliopathy disease pathogenesis. Most JBTS and MKS proteins localize to a discrete ciliary compartment called the transition zone, and act as structural components of the so-called “ciliary gate” to regulate the ciliary trafficking of cargo proteins or lipids. Cargo proteins include enzymes and transmembrane proteins that mediate intracellular signaling. The disruption of transition zone function may contribute to the ciliopathy phenotype by altering the composition of the ciliary membrane or axoneme, with impacts on essential developmental signaling including the Wnt and Shh pathways as well as the regulation of secondary messengers such as inositol-1,4,5-trisphosphate (InsP3) and cyclic adenosine monophosphate (cAMP). -
Bhagwan Moorjani, MD, FAAP, FAAN • Requires Knowledge of Normal CNS Developmental (I.E
1/16/2012 Neuroimaging in Childhood • Neuroimaging issues are distinct from Pediatric Neuroimaging in adults Neurometabolic-degenerative disorder • Sedation/anesthesia and Epilepsy • Motion artifacts Bhagwan Moorjani, MD, FAAP, FAAN • Requires knowledge of normal CNS developmental (i.e. myelin maturation) • Contrast media • Parental anxiety Diagnostic Approach Neuroimaging in Epilepsy • Age of onset • Peak incidence in childhood • Static vs Progressive • Occurs as a co-morbid condition in many – Look for treatable causes pediatric disorders (birth injury, – Do not overlook abuse, Manchausen if all is negative dysmorphism, chromosomal anomalies, • Phenotype presence (syndromic, HC, NCS, developmental delays/regression) systemic involvement) • Predominant symptom (epilepsy, DD, • Many neurologic disorders in children weakness/motor, psychomotor regression, have the same chief complaint cognitive/dementia) 1 1/16/2012 Congenital Malformation • Characterized by their anatomic features • Broad categories: based on embryogenesis – Stage 1: Dorsal Induction: Formation and closure of the neural tube. (Weeks 3-4) – Stage 2: Ventral Induction: Formation of the brain segments and face. (Weeks 5-10) – Stage 3: Migration and Histogenesis: (Months 2-5) – Stage 4: Myelination: (5-15 months; matures by 3 years) Dandy Walker Malformation Dandy walker • Criteria: – high position of tentorium – dysgenesis/agenesis of vermis – cystic dilatation of fourth ventricle • commonly associated features: – hypoplasia of cerebellum – scalloping of inner table of occipital bone • associated abnormalities: – hydrocephalus 75% – dysgenesis of corpus callosum 25% – heterotropia 10% 2 1/16/2012 Etiology of Epilepsy: Developmental and Genetic Classification of Gray Matter Heterotropia Cortical Dysplasia 1. Secondary to abnormal neuronal and • displaced masses of nerve cells • Subependymal glial proliferation/apoptosis (gray matter) heterotropia (most • most common: small nest common) 2. -
Approach to Brain Malformations
Approach to Brain Malformations A General Imaging Approach to Brain CSF spaces. This is the basis for development of the Dandy- Malformations Walker malformation; it requires abnormal development of the cerebellum itself and of the overlying leptomeninges. Whenever an infant or child is referred for imaging because of Looking at the midline image also gives an idea of the relative either seizures or delayed development, the possibility of a head size through assessment of the craniofacial ratio. In the brain malformation should be carefully investigated. If the normal neonate, the ratio of the cranial vault to the face on child appears dysmorphic in any way (low-set ears, abnormal midline images is 5:1 or 6:1. By 2 years, it should be 2.5:1, and facies, hypotelorism), the likelihood of an underlying brain by 10 years, it should be about 1.5:1. malformation is even higher, but a normal appearance is no guarantee of a normal brain. In all such cases, imaging should After looking at the midline, evaluate the brain from outside be geared toward showing a structural abnormality. The to inside. Start with the cerebral cortex. Is the thickness imaging sequences should maximize contrast between gray normal (2-3 mm)? If it is too thick, think of pachygyria or matter and white matter, have high spatial resolution, and be polymicrogyria. Is the cortical white matter junction smooth or acquired as volumetric data whenever possible so that images irregular? If it is irregular, think of polymicrogyria or Brain: Pathology-Based Diagnoses can be reformatted in any plane or as a surface rendering. -
Megalencephaly and Macrocephaly
277 Megalencephaly and Macrocephaly KellenD.Winden,MD,PhD1 Christopher J. Yuskaitis, MD, PhD1 Annapurna Poduri, MD, MPH2 1 Department of Neurology, Boston Children’s Hospital, Boston, Address for correspondence Annapurna Poduri, Epilepsy Genetics Massachusetts Program, Division of Epilepsy and Clinical Electrophysiology, 2 Epilepsy Genetics Program, Division of Epilepsy and Clinical Department of Neurology, Fegan 9, Boston Children’s Hospital, 300 Electrophysiology, Department of Neurology, Boston Children’s Longwood Avenue, Boston, MA 02115 Hospital, Boston, Massachusetts (e-mail: [email protected]). Semin Neurol 2015;35:277–287. Abstract Megalencephaly is a developmental disorder characterized by brain overgrowth secondary to increased size and/or numbers of neurons and glia. These disorders can be divided into metabolic and developmental categories based on their molecular etiologies. Metabolic megalencephalies are mostly caused by genetic defects in cellular metabolism, whereas developmental megalencephalies have recently been shown to be caused by alterations in signaling pathways that regulate neuronal replication, growth, and migration. These disorders often lead to epilepsy, developmental disabilities, and Keywords behavioral problems; specific disorders have associations with overgrowth or abnor- ► megalencephaly malities in other tissues. The molecular underpinnings of many of these disorders are ► hemimegalencephaly now understood, providing insight into how dysregulation of critical pathways leads to ► -
Congenital Disorders of Glycosylation from a Neurological Perspective
brain sciences Review Congenital Disorders of Glycosylation from a Neurological Perspective Justyna Paprocka 1,* , Aleksandra Jezela-Stanek 2 , Anna Tylki-Szyma´nska 3 and Stephanie Grunewald 4 1 Department of Pediatric Neurology, Faculty of Medical Science in Katowice, Medical University of Silesia, 40-752 Katowice, Poland 2 Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 01-138 Warsaw, Poland; [email protected] 3 Department of Pediatrics, Nutrition and Metabolic Diseases, The Children’s Memorial Health Institute, W 04-730 Warsaw, Poland; [email protected] 4 NIHR Biomedical Research Center (BRC), Metabolic Unit, Great Ormond Street Hospital and Institute of Child Health, University College London, London SE1 9RT, UK; [email protected] * Correspondence: [email protected]; Tel.: +48-606-415-888 Abstract: Most plasma proteins, cell membrane proteins and other proteins are glycoproteins with sugar chains attached to the polypeptide-glycans. Glycosylation is the main element of the post- translational transformation of most human proteins. Since glycosylation processes are necessary for many different biological processes, patients present a diverse spectrum of phenotypes and severity of symptoms. The most frequently observed neurological symptoms in congenital disorders of glycosylation (CDG) are: epilepsy, intellectual disability, myopathies, neuropathies and stroke-like episodes. Epilepsy is seen in many CDG subtypes and particularly present in the case of mutations -
The Genetic Heterogeneity of Brachydactyly Type A1: Identifying the Molecular Pathways
The genetic heterogeneity of brachydactyly type A1: Identifying the molecular pathways Lemuel Jean Racacho Thesis submitted to the Faculty of Graduate Studies and Postdoctoral Studies in partial fulfillment of the requirements for the Doctorate in Philosophy degree in Biochemistry Specialization in Human and Molecular Genetics Department of Biochemistry, Microbiology and Immunology Faculty of Medicine University of Ottawa © Lemuel Jean Racacho, Ottawa, Canada, 2015 Abstract Brachydactyly type A1 (BDA1) is a rare autosomal dominant trait characterized by the shortening of the middle phalanges of digits 2-5 and of the proximal phalange of digit 1 in both hands and feet. Many of the brachymesophalangies including BDA1 have been associated with genetic perturbations along the BMP-SMAD signaling pathway. The goal of this thesis is to identify the molecular pathways that are associated with the BDA1 phenotype through the genetic assessment of BDA1-affected families. We identified four missense mutations that are clustered with other reported BDA1 mutations in the central region of the N-terminal signaling peptide of IHH. We also identified a missense mutation in GDF5 cosegregating with a semi-dominant form of BDA1. In two families we reported two novel BDA1-associated sequence variants in BMPR1B, the gene which codes for the receptor of GDF5. In 2002, we reported a BDA1 trait linked to chromosome 5p13.3 in a Canadian kindred (BDA1B; MIM %607004) but we did not discover a BDA1-causal variant in any of the protein coding genes within the 2.8 Mb critical region. To provide a higher sensitivity of detection, we performed a targeted enrichment of the BDA1B locus followed by high-throughput sequencing. -
Polymicrogyria (PMG) ‘Many–Small–Folds’
Polymicrogyria Dr Andrew Fry Clinical Senior Lecturer in Medical Genetics Institute of Medical Genetics, Cardiff [email protected] Polymicrogyria (PMG) ‘Many–small–folds’ • PMG is heterogeneous – in aetiology and phenotype • A disorder of post-migrational cortical organisation. PMG often appears thick on MRI with blurring of the grey-white matter boundary Normal PMG On MRI PMG looks thick but the cortex is actually thin – with folded, fused gyri Courtesy of Dr Jeff Golden, Pen State Unv, Philadelphia PMG is often confused with pachygyria (lissencephaly) Thick cortex (10 – 20mm) Axial MRI 4 cortical layers Lissencephaly Polymicrogyria Cerebrum Classical lissencephaly is due Many small gyri – often to under-migration. fused together. Axial MRI image at 7T showing morphological aspects of PMG. Guerrini & Dobyns Malformations of cortical development: clinical features and genetic causes. Lancet Neurol. 2014 Jul; 13(7): 710–726. PMG - aetiology Pregnancy history • Intrauterine hypoxic/ischemic brain injury (e.g. death of twin) • Intrauterine infection (e.g. CMV, Zika virus) TORCH, CMV PCR, [+deafness & cerebral calcification] CT scan • Metabolic (e.g. Zellweger syndrome, glycine encephalopathy) VLCFA, metabolic Ix • Genetic: Family history Familial recurrence (XL, AD, AR) Chromosomal abnormalities (e.g. 1p36 del, 22q11.2 del) Syndromic (e.g. Aicardi syndrome, Kabuki syndrome) Examin - Monogenic (e.g. TUBB2B, TUBA1A, GPR56) Array ation CGH Gene test/Panel/WES/WGS A cohort of 121 PMG patients Aim: To explore the natural history of PMG and identify new genes. Recruited: • 99 unrelated patients • 22 patients from 10 families 87% White British, 53% male ~92% sporadic cases (NB. ascertainment bias) Sporadic PMG • Array CGH, single gene and gene panel testing - then a subset (n=57) had trio-WES. -
Massachusetts Birth Defects 2002-2003
Massachusetts Birth Defects 2002-2003 Massachusetts Birth Defects Monitoring Program Bureau of Family Health and Nutrition Massachusetts Department of Public Health January 2008 Massachusetts Birth Defects 2002-2003 Deval L. Patrick, Governor Timothy P. Murray, Lieutenant Governor JudyAnn Bigby, MD, Secretary, Executive Office of Health and Human Services John Auerbach, Commissioner, Massachusetts Department of Public Health Sally Fogerty, Director, Bureau of Family Health and Nutrition Marlene Anderka, Director, Massachusetts Center for Birth Defects Research and Prevention Linda Casey, Administrative Director, Massachusetts Center for Birth Defects Research and Prevention Cathleen Higgins, Birth Defects Surveillance Coordinator Massachusetts Department of Public Health 617-624-5510 January 2008 Acknowledgements This report was prepared by the staff of the Massachusetts Center for Birth Defects Research and Prevention (MCBDRP) including: Marlene Anderka, Linda Baptiste, Elizabeth Bingay, Joe Burgio, Linda Casey, Xiangmei Gu, Cathleen Higgins, Angela Lin, Rebecca Lovering, and Na Wang. Data in this report have been collected through the efforts of the field staff of the MCBDRP including: Roberta Aucoin, Dorothy Cichonski, Daniel Sexton, Marie-Noel Westgate and Susan Winship. We would like to acknowledge the following individuals for their time and commitment to supporting our efforts in improving the MCBDRP. Lewis Holmes, MD, Massachusetts General Hospital Carol Louik, ScD, Slone Epidemiology Center, Boston University Allen Mitchell, -
CONGENITAL ABNORMALITIES of the CENTRAL NERVOUS SYSTEM Christopher Verity, Helen Firth, Charles Ffrench-Constant *I3
J Neurol Neurosurg Psychiatry: first published as 10.1136/jnnp.74.suppl_1.i3 on 1 March 2003. Downloaded from CONGENITAL ABNORMALITIES OF THE CENTRAL NERVOUS SYSTEM Christopher Verity, Helen Firth, Charles ffrench-Constant *i3 J Neurol Neurosurg Psychiatry 2003;74(Suppl I):i3–i8 dvances in genetics and molecular biology have led to a better understanding of the control of central nervous system (CNS) development. It is possible to classify CNS abnormalities Aaccording to the developmental stages at which they occur, as is shown below. The careful assessment of patients with these abnormalities is important in order to provide an accurate prog- nosis and genetic counselling. c NORMAL DEVELOPMENT OF THE CNS Before we review the various abnormalities that can affect the CNS, a brief overview of the normal development of the CNS is appropriate. c Induction—After development of the three cell layers of the early embryo (ectoderm, mesoderm, and endoderm), the underlying mesoderm (the “inducer”) sends signals to a region of the ecto- derm (the “induced tissue”), instructing it to develop into neural tissue. c Neural tube formation—The neural ectoderm folds to form a tube, which runs for most of the length of the embryo. c Regionalisation and specification—Specification of different regions and individual cells within the neural tube occurs in both the rostral/caudal and dorsal/ventral axis. The three basic regions of copyright. the CNS (forebrain, midbrain, and hindbrain) develop at the rostral end of the tube, with the spinal cord more caudally. Within the developing spinal cord specification of the different popu- lations of neural precursors (neural crest, sensory neurones, interneurones, glial cells, and motor neurones) is observed in progressively more ventral locations. -
Prevalence and Incidence of Rare Diseases: Bibliographic Data
Number 1 | January 2019 Prevalence and incidence of rare diseases: Bibliographic data Prevalence, incidence or number of published cases listed by diseases (in alphabetical order) www.orpha.net www.orphadata.org If a range of national data is available, the average is Methodology calculated to estimate the worldwide or European prevalence or incidence. When a range of data sources is available, the most Orphanet carries out a systematic survey of literature in recent data source that meets a certain number of quality order to estimate the prevalence and incidence of rare criteria is favoured (registries, meta-analyses, diseases. This study aims to collect new data regarding population-based studies, large cohorts studies). point prevalence, birth prevalence and incidence, and to update already published data according to new For congenital diseases, the prevalence is estimated, so scientific studies or other available data. that: Prevalence = birth prevalence x (patient life This data is presented in the following reports published expectancy/general population life expectancy). biannually: When only incidence data is documented, the prevalence is estimated when possible, so that : • Prevalence, incidence or number of published cases listed by diseases (in alphabetical order); Prevalence = incidence x disease mean duration. • Diseases listed by decreasing prevalence, incidence When neither prevalence nor incidence data is available, or number of published cases; which is the case for very rare diseases, the number of cases or families documented in the medical literature is Data collection provided. A number of different sources are used : Limitations of the study • Registries (RARECARE, EUROCAT, etc) ; The prevalence and incidence data presented in this report are only estimations and cannot be considered to • National/international health institutes and agencies be absolutely correct. -
Classification of Congenital Abnormalities of the CNS
315 Classification of Congenital Abnormalities of the CNS M. S. van der Knaap1 A classification of congenital cerebral, cerebellar, and spinal malformations is pre J . Valk2 sented with a view to its practical application in neuroradiology. The classification is based on the MR appearance of the morphologic abnormalities, arranged according to the embryologic time the derangement occurred. The normal embryology of the brain is briefly reviewed, and comments are made to explain the classification. MR images illustrating each subset of abnormalities are presented. During the last few years, MR imaging has proved to be a diagnostic tool of major importance in children with congenital malformations of the eNS [1]. The excellent gray fwhite-matter differentiation and multi planar imaging capabilities of MR allow a systematic analysis of the condition of the brain in infants and children. This is of interest for estimating prognosis and for genetic counseling. A classification is needed to serve as a guide to the great diversity of morphologic abnormalities and to make the acquired data useful. Such a system facilitates encoding, storage, and computer processing of data. We present a practical classification of congenital cerebral , cerebellar, and spinal malformations. Our classification is based on the morphologic abnormalities shown by MR and on the time at which the derangement of neural development occurred. A classification based on etiology is not as valuable because the various presumed causes rarely lead to a specific pattern of malformations. The abnor malities reflect the time the noxious agent interfered with neural development, rather than the nature of the noxious agent. The vulnerability of the various structures to adverse agents is greatest during the period of most active growth and development.