Two Novel Mutations Confirm FGD1 Is Responsible for the Aarskog Syndrome
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The Atypical Guanine-Nucleotide Exchange Factor, Dock7, Negatively Regulates Schwann Cell Differentiation and Myelination
The Journal of Neuroscience, August 31, 2011 • 31(35):12579–12592 • 12579 Cellular/Molecular The Atypical Guanine-Nucleotide Exchange Factor, Dock7, Negatively Regulates Schwann Cell Differentiation and Myelination Junji Yamauchi,1,3,5 Yuki Miyamoto,1 Hajime Hamasaki,1,3 Atsushi Sanbe,1 Shinji Kusakawa,1 Akane Nakamura,2 Hideki Tsumura,2 Masahiro Maeda,4 Noriko Nemoto,6 Katsumasa Kawahara,5 Tomohiro Torii,1 and Akito Tanoue1 1Department of Pharmacology and 2Laboratory Animal Resource Facility, National Research Institute for Child Health and Development, Setagaya, Tokyo 157-8535, Japan, 3Department of Biological Sciences, Tokyo Institute of Technology, Midori, Yokohama 226-8501, Japan, 4IBL, Ltd., Fujioka, Gumma 375-0005, Japan, and 5Department of Physiology and 6Bioimaging Research Center, Kitasato University School of Medicine, Sagamihara, Kanagawa 252-0374, Japan In development of the peripheral nervous system, Schwann cells proliferate, migrate, and ultimately differentiate to form myelin sheath. In all of the myelination stages, Schwann cells continuously undergo morphological changes; however, little is known about their underlying molecular mechanisms. We previously cloned the dock7 gene encoding the atypical Rho family guanine-nucleotide exchange factor (GEF) and reported the positive role of Dock7, the target Rho GTPases Rac/Cdc42, and the downstream c-Jun N-terminal kinase in Schwann cell migration (Yamauchi et al., 2008). We investigated the role of Dock7 in Schwann cell differentiation and myelination. Knockdown of Dock7 by the specific small interfering (si)RNA in primary Schwann cells promotes dibutyryl cAMP-induced morpholog- ical differentiation, indicating the negative role of Dock7 in Schwann cell differentiation. It also results in a shorter duration of activation of Rac/Cdc42 and JNK, which is the negative regulator of myelination, and the earlier activation of Rho and Rho-kinase, which is the positive regulator of myelination. -
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 -
Genome-Wide Alterations in Gene Methylation by the BRAF V600E Mutation in Papillary Thyroid Cancer Cells
Endocrine-Related Cancer (2011) 18 687–697 Genome-wide alterations in gene methylation by the BRAF V600E mutation in papillary thyroid cancer cells Peng Hou, Dingxie Liu and Mingzhao Xing Laboratory for Cellular and Molecular Thyroid Research, Division of Endocrinology and Metabolism, The Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 333, Baltimore, Maryland 21287, USA (Correspondence should be addressed to M Xing; Email: [email protected]) Abstract The BRAF V600E mutation plays an important role in the tumorigenesis of papillary thyroid cancer (PTC). To explore an epigenetic mechanism involved in this process, we performed a genome- wide DNA methylation analysis using a methylated CpG island amplification (MCA)/CpG island microarray system to examine gene methylation alterations after shRNA knockdown of BRAF V600E in thyroid cancer cells. Our results revealed numerous methylation targets of BRAF V600E mutation with a large cohort of hyper- or hypo-methylated genes in thyroid cancer cells, which are known to have important metabolic and cellular functions. As hypomethylation of numerous genes by BRAF V600E was particularly a striking finding, we took a further step to examine the selected 59 genes that became hypermethylated in both cell lines upon BRAF V600E knockdown and found them to be mostly correspondingly under-expressed (i.e. they were normally maintained hypomethylated and over-expressed by BRAF V600E in thyroid cancer cells). We confirmed the methylation status of selected genes revealed on MCA/CpG microarray analysis by performing methylation-specific PCR. To provide proof of concept that some of the genes uncovered here may play a direct oncogenic role, we selected six of them to perform shRNA knockdown and examined its effect on cellular functions. -
Genetic Testing Policy Number: PG0041 ADVANTAGE | ELITE | HMO Last Review: 04/11/2021
Genetic Testing Policy Number: PG0041 ADVANTAGE | ELITE | HMO Last Review: 04/11/2021 INDIVIDUAL MARKETPLACE | PROMEDICA MEDICARE PLAN | PPO GUIDELINES This policy does not certify benefits or authorization of benefits, which is designated by each individual policyholder terms, conditions, exclusions and limitations contract. It does not constitute a contract or guarantee regarding coverage or reimbursement/payment. Paramount applies coding edits to all medical claims through coding logic software to evaluate the accuracy and adherence to accepted national standards. This medical policy is solely for guiding medical necessity and explaining correct procedure reporting used to assist in making coverage decisions and administering benefits. SCOPE X Professional X Facility DESCRIPTION A genetic test is the analysis of human DNA, RNA, chromosomes, proteins, or certain metabolites in order to detect alterations related to a heritable or acquired disorder. This can be accomplished by directly examining the DNA or RNA that makes up a gene (direct testing), looking at markers co-inherited with a disease-causing gene (linkage testing), assaying certain metabolites (biochemical testing), or examining the chromosomes (cytogenetic testing). Clinical genetic tests are those in which specimens are examined and results reported to the provider or patient for the purpose of diagnosis, prevention or treatment in the care of individual patients. Genetic testing is performed for a variety of intended uses: Diagnostic testing (to diagnose disease) Predictive -
Supplementary Table 1: List of the 316 Genes Regulated During Hyperglycemic Euinsulinemic Clamp in Skeletal Muscle
Supplementary Table 1: List of the 316 genes regulated during hyperglycemic euinsulinemic clamp in skeletal muscle. UGCluster Name Symbol Fold Change Cytoband Response to stress Hs.517581 Heme oxygenase (decycling) 1 HMOX1 3.80 22q12 Hs.374950 Metallothionein 1X MT1X 2.20 16q13 Hs.460867 Metallothionein 1B (functional) MT1B 1.70 16q13 Hs.148778 Oxidation resistance 1 OXR1 1.60 8q23 Hs.513626 Metallothionein 1F (functional) MT1F 1.47 16q13 Hs.534330 Metallothionein 2A MT2A 1.45 16q13 Hs.438462 Metallothionein 1H MT1H 1.42 16q13 Hs.523836 Glutathione S-transferase pi GSTP1 -1.74 11q13 Hs.459952 Stannin SNN -1.92 16p13 Immune response, cytokines & related Hs.478275 TNF (ligand) superfamily, member 10 (TRAIL) TNFSF10 1.58 3q26 Hs.278573 CD59 antigen p18-20 (protectin) CD59 1.49 11p13 Hs.534847 Complement component 4B, telomeric C4A 1.47 6p21.3 Hs.535668 Immunoglobulin lambda variable 6-57 IGLV6-57 1.40 22q11.2 Hs.529846 Calcium modulating ligand CAMLG -1.40 5q23 Hs.193516 B-cell CLL/lymphoma 10 BCL10 -1.40 1p22 Hs.840 Indoleamine-pyrrole 2,3 dioxygenase INDO -1.40 8p12-p11 Hs.201083 Mal, T-cell differentiation protein 2 MAL2 -1.44 Hs.522805 CD99 antigen-like 2 CD99L2 -1.45 Xq28 Hs.50002 Chemokine (C-C motif) ligand 19 CCL19 -1.45 9p13 Hs.350268 Interferon regulatory factor 2 binding protein 2 IRF2BP2 -1.47 1q42.3 Hs.567249 Contactin 1 CNTN1 -1.47 12q11-q12 Hs.132807 MHC class I mRNA fragment 3.8-1 3.8-1 -1.48 6p21.3 Hs.416925 Carcinoembryonic antigen-related cell adhesion molecule 19 CEACAM19 -1.49 19q13.31 Hs.89546 Selectin E (endothelial -
Rho Guanine Nucleotide Exchange Factors: Regulators of Rho Gtpase Activity in Development and Disease
Oncogene (2014) 33, 4021–4035 & 2014 Macmillan Publishers Limited All rights reserved 0950-9232/14 www.nature.com/onc REVIEW Rho guanine nucleotide exchange factors: regulators of Rho GTPase activity in development and disease DR Cook1, KL Rossman2,3 and CJ Der1,2,3 The aberrant activity of Ras homologous (Rho) family small GTPases (20 human members) has been implicated in cancer and other human diseases. However, in contrast to the direct mutational activation of Ras found in cancer and developmental disorders, Rho GTPases are activated most commonly in disease by indirect mechanisms. One prevalent mechanism involves aberrant Rho activation via the deregulated expression and/or activity of Rho family guanine nucleotide exchange factors (RhoGEFs). RhoGEFs promote formation of the active GTP-bound state of Rho GTPases. The largest family of RhoGEFs is comprised of the Dbl family RhoGEFs with 70 human members. The multitude of RhoGEFs that activate a single Rho GTPase reflects the very specific role of each RhoGEF in controlling distinct signaling mechanisms involved in Rho activation. In this review, we summarize the role of Dbl RhoGEFs in development and disease, with a focus on Ect2 (epithelial cell transforming squence 2), Tiam1 (T-cell lymphoma invasion and metastasis 1), Vav and P-Rex1/2 (PtdIns(3,4,5)P3 (phosphatidylinositol (3,4,5)-triphosphate)-dependent Rac exchanger). Oncogene (2014) 33, 4021–4035; doi:10.1038/onc.2013.362; published online 16 September 2013 Keywords: Rac1; RhoA; Cdc42; guanine nucleotide exchange factors; cancer; -
Blueprint Genetics Noonan Syndrome Panel
Noonan Syndrome Panel Test code: CA0501 Is a 35 gene panel that includes assessment of non-coding variants. Is ideal for patients with a clinical suspicion of a RASopathy including Noonan syndrome with or without lentigines, cardio- facio-cutaneous (CFC) syndrome, Costello syndrome, Noonan-like syndromes or other syndromes causing differential diagnostic challenges such as Legius syndrome, Baraitser-Winter syndromes and neurofibromatosis. About Noonan Syndrome Noonan syndrome is one of the most common syndromes with an estimated prevalence of 1 in 1,000 to 1 in 2,500 live births. It is clinically and genetically heterogeneous condition characterized by cardiovascular abnormalities, distinctive facial features, chest deformity, short stature, and other co-morbidities. Among the Noonan syndrome associated genes, many different genotype-phenotype correlations have been established although no phenotypic features are exclusively associated with one genotype. There are, however, significant differences in the risk of various Noonan syndrome manifestations based on the causative gene. Availability 4 weeks Gene Set Description Genes in the Noonan Syndrome Panel and their clinical significance Gene Associated phenotypes Inheritance ClinVar HGMD ACTB* Baraitser-Winter syndrome AD 55 60 ACTG1* Deafness, Baraitser-Winter syndrome AD 27 47 BRAF* LEOPARD syndrome, Noonan syndrome, Cardiofaciocutaneous syndrome AD 134 65 CBL Noonan syndrome-like disorder with or without juvenile myelomonocytic AD 24 43 leukemia CCNK Intellectual disability AD CDC42 -
Perkinelmer Genomics to Request the Saliva Swab Collection Kit for Patients That Cannot Provide a Blood Sample As Whole Blood Is the Preferred Sample
Autism and Intellectual Disability TRIO Panel Test Code TR002 Test Summary This test analyzes 2429 genes that have been associated with Autism and Intellectual Disability and/or disorders associated with Autism and Intellectual Disability with the analysis being performed as a TRIO Turn-Around-Time (TAT)* 3 - 5 weeks Acceptable Sample Types Whole Blood (EDTA) (Preferred sample type) DNA, Isolated Dried Blood Spots Saliva Acceptable Billing Types Self (patient) Payment Institutional Billing Commercial Insurance Indications for Testing Comprehensive test for patients with intellectual disability or global developmental delays (Moeschler et al 2014 PMID: 25157020). Comprehensive test for individuals with multiple congenital anomalies (Miller et al. 2010 PMID 20466091). Patients with autism/autism spectrum disorders (ASDs). Suspected autosomal recessive condition due to close familial relations Previously negative karyotyping and/or chromosomal microarray results. Test Description This panel analyzes 2429 genes that have been associated with Autism and ID and/or disorders associated with Autism and ID. Both sequencing and deletion/duplication (CNV) analysis will be performed on the coding regions of all genes included (unless otherwise marked). All analysis is performed utilizing Next Generation Sequencing (NGS) technology. CNV analysis is designed to detect the majority of deletions and duplications of three exons or greater in size. Smaller CNV events may also be detected and reported, but additional follow-up testing is recommended if a smaller CNV is suspected. All variants are classified according to ACMG guidelines. Condition Description Autism Spectrum Disorder (ASD) refers to a group of developmental disabilities that are typically associated with challenges of varying severity in the areas of social interaction, communication, and repetitive/restricted behaviors. -
Gen Genetic Test Genetic Test Subjectkey (NDAR GUID)
Gen_Genetic_Test Genetic Test Subjectkey (NDAR GUID) Source subject ID Age (in months) Genetic test Date of test Genetic test results Normal Abnormal Comments Test provider Genetic Test Subjectkey (NDAR GUID) Source subject ID Age (in months) Genetic test Date of test Genetic test results Normal Abnormal Comments Test provider Example of table for NDAR data submission: Subjectkey Src_subject_id Interview_age Interview_date Genetic_test Test_result Test_provider Genetic_test_notes NDAR_INVEW671NRA MT_R21_006 36 1/1/2008 ASD_NRXN1 Normal GeneDx none NDAR_INVEW671NRA MT_R21_006 36 1/1/2008 NF2_NF2 Abnormal GeneDx none Gen_Genetic_Test # Test Marker Chromosome Chromosome Condition Gene Name Location 1 Test1_1p32-p31 1p32-p31 1 1p32-p31 Chromosome 1p32-p31 deletion NFIA syndrome 2 Test2_SLC2A1 SLC2A1 1 1p34.2 GLUT1 deficiency syndrome type 1 GLUT1 and type 2 3 Test3_1p36 1p36 1 1p36 Chromosome 1p36 deletion syndrome 4 Test4_1q21.1 1q21.1 1 1q21.1 Chromosome 1q21.1 deletion syndrome 5 Test5_1q41q42 1q41q42 1 1q41-q42 1q41-q42 deletion syndrome DISP1, SUSD4, CAPN2, TP53BP2, FBXO28 6 Test6_2p16.1-p15 2p16.1-p15 2 2p16.1-p15 Chromosome 2p16.1-p15 deletion syndrome 7 Test7_NRXN1 NRXN1 2 2p16.3 Autism Spectrum Disorders NRXN1 8 Test8_SOS1 SOS1 2 2p22.1 Noonan syndrome 4 SOS1 9 Test9_2q13 2q13 2 2q13 Autism Spectrum Disorders 10 Test10_NPHP1 NPHP1 2 2q13 Joubert syndrome NPHP1 11 Test11_ZEB2 ZEB2 2 2q22 Mowat-Wilson syndrome ZEB2 12 Test12_MBD5 MBD5 2 2q23.1 Rett syndrome MBD5 13 Test13_SLC4A10 SLC4A10 2 2q23-q24 Autism Spectrum Disorders SLC4A10 -
Rho Gtpase Signalling Pathways in the Morphological Changes Associated with Apoptosis
Cell Death and Differentiation (2002) 9, 493 ± 504 ã 2002 Nature Publishing Group All rights reserved 1350-9047/02 $25.00 www.nature.com/cdd Review Rho GTPase signalling pathways in the morphological changes associated with apoptosis ML Coleman1 and MF Olson*,1 membrane blebs and apoptotic bodies (reviewed in refer- ence3). Ultimately, the dead cell is packaged into membrane- 1 Cancer Research Campaign Centre for Cell and Molecular Biology, Institute of clad apoptotic bodies that facilitate uptake by neighbouring Cancer Research, 237 Fulham Road, London SW3 6JB, UK cells or by specialised phagocytic cells. Dynamic re- * Corresponding author: MF Olson, Abramson Family Cancer Research arrangements of the actin cytoskeleton in the phagocyte are Institute, Room 411, BRB II/III, 421 Curie Boulevard, University of required for the internalisation of apoptotic cell fragments. Pennsylvania, Philadelphia, PA 19104-6160, USA. Tel: +1 215 746 6798; Fax: +1 215 746 5525; E-mail: [email protected] Recent research has revealed the importance of signal transduction pathways controlled by Rho family GTPases in Received 23.8.01; revised 26.10.01; accepted 5.11.01 regulating the marked changes in cell morphology observed Edited by M Piacentini in the processes of apoptosis and phagocytosis. The Rho GTPases are a family of proteins (RhoA, RhoB, RhoC, RhoD, RhoE/Rnd3, RhoG, RhoH/TTF, Rnd1, Rnd2, Abstract Rac1, Rac2, Rac3, Cdc42/G25K, Wrch-1, TC10, TCL, Chp, Rif) that act as molecular switches in intracellular signal The killing and removal of superfluous cells is an important 4 step during embryonic development, tissue homeostasis, transduction pathways (reviewed in reference ). -
Rho Activation at a Glance Rho Activation at a Glance
Cell Science at a Glance 1149 Rho activation at a family of small GTPases. Rho GTPases (GDP-bound) conformations. (Four Rho control multiple cellular processes, family members are GTPase deficient and glance including actin and microtubule bind GTP constitutively; little is known Rachel J. Buchsbaum dynamics, gene expression, the cell about their regulation.) There are three cycle, cell polarity and membrane classes of regulatory proteins that affect Division of Hematology/Oncology and Molecular Oncology Research Institute, Tufts-New England transport, through their ability to bind to the activation state of these cycling Rho Medical Center, 750 Washington Street, Boston, numerous downstream effectors, which molecules: guanine nucleotide exchange MA 02111, USA lead to diverse parallel downstream factors (GEFs), which promote exchange e-mail: [email protected] signaling pathways (Schwartz, 2004). of GTP for GDP; GTPase-activating Journal of Cell Science 120, 1149-1152 proteins (GAPs), which enhance the Published by The Company of Biologists 2007 Over 20 members of the Rho family have intrinsic GTP-hydrolysis activity, leading doi:10.1242/jcs.03428 been identified in mammalian cells to GTPase inactivation; and guanine- (Wennerberg and Der, 2005). These are nucleotide-dissociation inhibitors (GDIs), Cells receive a multitude of stimuli – represented here by the canonical proteins which bind to prenylated GDP-bound chemical (such as cytokines and growth Rho, Rac and Cdc42 and have been the Rho proteins and allow translocation factors) and physical (such as subject of numerous excellent reviews between membranes and the cytosol. mechanical stresses or adhesion to (Bishop and Hall, 2000; Ridley, 2001; Currently, the best understood regulators extracellular matrix or other cells) – that Boettner and Van Aelst, 2002; Ridley et of Rho activation in response to upstream influence cell function by affecting al., 2003; Burridge and Wennerberg, stimuli are the GEFs. -
Epilepsy Next-Generation Sequencing Guide
Phenotype-based Neurology Next-Generation Sequencing with Epilepsy Copy Number Variant Analysis Generalized, Absence, Focal, Febrile, and Myoclonic Epilepsies Epileptic Encephalopathy Developmental Brain Malformations Intellectual Disability Neuronal Ceroid Lipofuscinosis Epilepsy with Migraine Syndromic Disorders Infantile Spasms Now with 234 genes Getting a clearer picture of the causes of epilepsy Harnessing the power of NGS for earlier diagnosis Athena Diagnostics offers a comprehensive approach to diagnosing the causes of epilepsy, which may be helpful when considering different treatment options and avoiding contraindicated drugs. Our phenotypebased approach is supported by clinical diagnostic exome sequencing to provide molecular diagnosis for a significant proportion of patients with epilepsy.11 The benefits include: • An accurate diagnosis sooner at typically less cost Phenotype- When your patient presents with epilepsy based NGS than traditional methods testing with CNV analysis symptoms, the specific cause is not always • Reduced turnaround time (TAT) clear. Using next-generation sequencing • More informed future Athena Diagnostics (NGS) to uncover a genetic cause of planning for the patient NextGen and their family Fast, testing In-depth disease may lead to answers that can cost-efficient results NGS technology interpretation aid in identifying the most appropriate treatment and care for your patient. ® Athena Diagnostics provides NGS A comprehensive panel delivering actionable insights evaluations for epilepsy arranged by clinical Athena Diagnostics Epilepsy Advanced Sequencing and CNV phenotype, testing the most comprehensive Evaluations feature: collection of clinically-relevant genes • Nextgeneration sequencing and CNV testing for 234 genes known to be associated with epilepsy, • Phenotypeguided evaluations, making test selection easier and which streamlines the diagnostic process may help avoid costly, unnecessary testing and may save time and money.