Article Reverse Phenotyping After Whole-Exome Sequencing in Steroid-Resistant Nephrotic Syndrome
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HPSE2 Gene Heparanase 2 (Inactive)
HPSE2 gene heparanase 2 (inactive) Normal Function The HPSE2 gene provides instructions for making a protein called heparanase 2. Little is known about this protein, but its structure is similar to that of another protein called heparanase 1. Heparanase 1 is an enzyme that splits (cleaves) molecules called heparan sulfate proteoglycans (HSPGs) by removing the heparan sulfate portion (the side chain). HSPGs are important parts of the lattice of proteins and other molecules outside the cell (extracellular matrix) and of basement membranes, which are thin, sheet-like structures that separate and support cells in many tissues. Cleavage of HSPGs by heparanase 1 may lead to changes in the basement membrane or extracellular matrix that allow cell movement or release of substances from the cell. The specific function of the heparanase 2 enzyme is not well understood, but studies suggest that it may block the action of heparanase 1. Health Conditions Related to Genetic Changes Migraine MedlinePlus Genetics provides information about Migraine Ochoa syndrome At least nine HPSE2 gene mutations have been identified in people with Ochoa syndrome (also called urofacial syndrome), a disorder that causes urinary problems and unusual facial expressions. These mutations result in changes in the heparanase 2 protein that likely prevent it from functioning. The connection between HPSE2 gene mutations and the features of Ochoa syndrome are unclear. Because the areas of the brain that control facial expression and urination are in close proximity, some researchers have suggested that the genetic changes may lead to an abnormality in this brain region that may account for the symptoms of Ochoa syndrome. -
Diagnosing Platelet Secretion Disorders: Examples Cases
Diagnosing platelet secretion disorders: examples cases Martina Daly Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield Disclosures for Martina Daly In compliance with COI policy, ISTH requires the following disclosures to the session audience: Research Support/P.I. No relevant conflicts of interest to declare Employee No relevant conflicts of interest to declare Consultant No relevant conflicts of interest to declare Major Stockholder No relevant conflicts of interest to declare Speakers Bureau No relevant conflicts of interest to declare Honoraria No relevant conflicts of interest to declare Scientific Advisory No relevant conflicts of interest to declare Board Platelet granule release Agonists (FIIa, Collagen, ADP) Signals Activation Shape change Membrane fusion Release of granule contents Platelet storage organelles lysosomes a granules Enzymes including cathepsins Adhesive proteins acid hydrolases Clotting factors and their inhibitors Fibrinolytic factors and their inhibitors Proteases and antiproteases Growth and mitogenic factors Chemokines, cytokines Anti-microbial proteins Membrane glycoproteins dense (d) granules ADP/ATP Serotonin histamine inorganic polyphosphate Platelet a-granule contents Type Prominent components Membrane glycoproteins GPIb, aIIbb3, GPVI Clotting factors VWF, FV, FXI, FII, Fibrinogen, HMWK, FXIII? Clotting inhibitors TFPI, protein S, protease nexin-2 Fibrinolysis components PAI-1, TAFI, a2-antiplasmin, plasminogen, uPA Other protease inhibitors a1-antitrypsin, a2-macroglobulin -
Urinary Tract Effects of HPSE2 Mutations
BRIEF COMMUNICATION www.jasn.org Urinary Tract Effects of HPSE2 Mutations † Helen M. Stuart,* Neil A. Roberts,* Emma N. Hilton,* Edward A. McKenzie, Sarah B. Daly,* † ‡ Kristen D. Hadfield,* Jeffery S. Rahal,* Natalie J. Gardiner, Simon W. Tanley, | Malcolm A. Lewis,* Emily Sites,§ Brad Angle,§ Cláudia Alves, Teresa Lourenço,¶ Márcia Rodrigues,¶ Angelina Calado,** Marta Amado,** Nancy Guerreiro,** Inês Serras,** †† †† || Christian Beetz , Rita-Eva Varga , Mesrur Selcuk Silay,§§ John M. Darlow, ¶¶ || || ††† Mark G. Dobson , ¶¶ David E. Barton , *** Manuela Hunziker,¶¶ Prem Puri,¶¶*** ‡‡‡ Sally A. Feather, Judith A. Goodship ,§§§ Timothy H.J. Goodship ,§§§ Heather J. ||| BRIEF COMMUNICATION Lambert ,§§§ Heather J. Cordell ,§§§ the UK VUR Study Group, Anand Saggar, †††† Maria Kinali ,¶¶¶, the 4C Study Group, Christian Lorenz ,**** Kristina Moeller, |||| Franz Schaefer,§§§§ Aysun K. Bayazit , Stefanie Weber,¶¶¶¶ William G. Newman ,* and Adrian S. Woolf * Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Urofacial syndrome (UFS) is an autosomal recessive congenital disease featuring grimacing grimacing and dysmorphic bladders. and incomplete bladder emptying. Mutations of HPSE2, encoding heparanase 2, a Considering these and previously pub- heparanase 1 inhibitor, occur in UFS, but knowledge about the HPSE2 mutation spec- lished mutations4–7 (Figure 1A), it is clear trum is limited. Here, seven UFS kindreds with HPSE2 mutations are presented, that pathogenic HPSE2 mutations are including one with deleted asparagine 254, suggesting a role for this amino acid, found across the gene’s coding region. which is conserved in vertebrate orthologs. HPSE2 mutations were absent in 23 non- Most (i.e., nonsense or frameshift muta- neurogenic neurogenic bladder probands and, of 439 families with nonsyndromic tions) would cause loss of function, but a vesicoureteric reflux, only one carried a putative pathogenic HPSE2 variant. -
TRIM32 Is an E3 Ubiquitin Ligase for Dysbindin
Human Molecular Genetics, 2009, Vol. 18, No. 13 2344–2358 doi:10.1093/hmg/ddp167 Advance Access published on April 6, 2009 TRIM32 is an E3 ubiquitin ligase for dysbindin Matthew Locke1,2, Caroline L. Tinsley1, Matthew A. Benson2,{ and Derek J. Blake1,Ã 1Department of Psychological Medicine, Cardiff University, Henry Wellcome Building for Biomedical Research in Wales, Heath Park, Cardiff, CF14 4XN, UK and 2Department of Pharmacology, University of Oxford, Mansfield Road, Oxford OX1 3QT, UK Received December 15, 2008; Revised and Accepted April 2, 2009 Mutations in the gene encoding tripartite motif protein 32 (TRIM32) cause two seemingly diverse diseases: limb-girdle muscular dystrophy type 2H (LGMD2H) or sarcotubular myopathy (STM) and Bardet–Biedl syndrome type 11(BBS11). Although TRIM32 is involved in protein ubiquitination, its substrates and the molecular consequences of disease-causing mutations are poorly understood. In this paper, we show that Downloaded from TRIM32 is a widely expressed ubiquitin ligase that is localized to the Z-line in skeletal muscle. Using the yeast two-hybrid system, we found that TRIM32 binds and ubiquitinates dysbindin, a protein implicated in the genetic aetiology of schizophrenia, augmenting its degradation. Small-interfering RNA-mediated knock-down of TRIM32 in myoblasts resulted in elevated levels of dysbindin. Importantly, the LGMD2H/ STM-associated TRIM32 mutations, D487N and R394H impair ubiquitin ligase activity towards dysbindin http://hmg.oxfordjournals.org/ and were mislocalized in heterologous cells. These mutants were able to self-associate and also co-immuno- precipitated with wild-type TRIM32 in transfected cells. Furthermore, the D487N mutant could bind to both dysbindin and its E2 enzyme but was defective in monoubiquitination. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Mouse Vipas39 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Vipas39 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Vipas39 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Vipas39 gene (NCBI Reference Sequence: NM_001142580 ; Ensembl: ENSMUSG00000021038 ) is located on Mouse chromosome 12. 20 exons are identified, with the ATG start codon in exon 2 and the TAA stop codon in exon 20 (Transcript: ENSMUST00000072744). Exon 3 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Vipas39 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-213E8 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Mice homozygous for a conditional allele activated by an inducible cre exhibit dry and scaly skin, hair loss, and defects in tail tendon collagen I structure. Exon 3 starts from about 6.38% of the coding region. The knockout of Exon 3 will result in frameshift of the gene. The size of intron 2 for 5'-loxP site insertion: 3170 bp, and the size of intron 3 for 3'-loxP site insertion: 1410 bp. The size of effective cKO region: ~603 bp. The cKO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 3 4 20 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Vipas39 Homology arm cKO region loxP site Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
The Role of Primary Cilia in the Crosstalk Between the Ubiquitin–Proteasome System and Autophagy
cells Review The Role of Primary Cilia in the Crosstalk between the Ubiquitin–Proteasome System and Autophagy Antonia Wiegering, Ulrich Rüther and Christoph Gerhardt * Institute for Animal Developmental and Molecular Biology, Heinrich Heine University, 40225 Düsseldorf, Germany; [email protected] (A.W.); [email protected] (U.R.) * Correspondence: [email protected]; Tel.: +49-(0)211-81-12236 Received: 29 December 2018; Accepted: 11 March 2019; Published: 14 March 2019 Abstract: Protein degradation is a pivotal process for eukaryotic development and homeostasis. The majority of proteins are degraded by the ubiquitin–proteasome system and by autophagy. Recent studies describe a crosstalk between these two main eukaryotic degradation systems which allows for establishing a kind of safety mechanism. If one of these degradation systems is hampered, the other compensates for this defect. The mechanism behind this crosstalk is poorly understood. Novel studies suggest that primary cilia, little cellular protrusions, are involved in the regulation of the crosstalk between the two degradation systems. In this review article, we summarise the current knowledge about the association between cilia, the ubiquitin–proteasome system and autophagy. Keywords: protein aggregation; neurodegenerative diseases; OFD1; BBS4; RPGRIP1L; hedgehog; mTOR; IFT; GLI 1. Introduction Protein aggregates are huge protein accumulations that develop as a consequence of misfolded proteins. The occurrence of protein aggregates is associated with the development of neurodegenerative diseases, such as Huntington’s disease, prion disorders, Alzheimer’s disease and Parkinson’s disease [1–3], demonstrating that the degradation of incorrectly folded proteins is of eminent importance for human health. In addition to the destruction of useless and dangerous proteins (protein quality control), protein degradation is an important process to regulate the cell cycle, to govern transcription and also to control intra- and intercellular signal transduction [4–6]. -
Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected]
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School July 2017 Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Pathology Commons Scholar Commons Citation Mohamed, Mai, "Role of Amylase in Ovarian Cancer" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6907 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Role of Amylase in Ovarian Cancer by Mai Mohamed A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Pathology and Cell Biology Morsani College of Medicine University of South Florida Major Professor: Patricia Kruk, Ph.D. Paula C. Bickford, Ph.D. Meera Nanjundan, Ph.D. Marzenna Wiranowska, Ph.D. Lauri Wright, Ph.D. Date of Approval: June 29, 2017 Keywords: ovarian cancer, amylase, computational analyses, glycocalyx, cellular invasion Copyright © 2017, Mai Mohamed Dedication This dissertation is dedicated to my parents, Ahmed and Fatma, who have always stressed the importance of education, and, throughout my education, have been my strongest source of encouragement and support. They always believed in me and I am eternally grateful to them. I would also like to thank my brothers, Mohamed and Hussien, and my sister, Mariam. I would also like to thank my husband, Ahmed. -
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 -
Mouse Mutants As Models for Congenital Retinal Disorders
Experimental Eye Research 81 (2005) 503–512 www.elsevier.com/locate/yexer Review Mouse mutants as models for congenital retinal disorders Claudia Dalke*, Jochen Graw GSF-National Research Center for Environment and Health, Institute of Developmental Genetics, D-85764 Neuherberg, Germany Received 1 February 2005; accepted in revised form 1 June 2005 Available online 18 July 2005 Abstract Animal models provide a valuable tool for investigating the genetic basis and the pathophysiology of human diseases, and to evaluate therapeutic treatments. To study congenital retinal disorders, mouse mutants have become the most important model organism. Here we review some mouse models, which are related to hereditary disorders (mostly congenital) including retinitis pigmentosa, Leber’s congenital amaurosis, macular disorders and optic atrophy. q 2005 Elsevier Ltd. All rights reserved. Keywords: animal model; retina; mouse; gene mutation; retinal degeneration 1. Introduction Although mouse models are a good tool to investigate retinal disorders, one should keep in mind that the mouse Mice suffering from hereditary eye defects (and in retina is somehow different from a human retina, particular from retinal degenerations) have been collected particularly with respect to the number and distribution of since decades (Keeler, 1924). They allow the study of the photoreceptor cells. The mouse as a nocturnal animal molecular and histological development of retinal degener- has a retina dominated by rods; in contrast, cones are small ations and to characterize the genetic basis underlying in size and represent only 3–5% of the photoreceptors. Mice retinal dysfunction and degeneration. The recent progress of do not form cone-rich areas like the human fovea. -
Abstracts from the 51St European Society of Human Genetics Conference: Electronic Posters
European Journal of Human Genetics (2019) 27:870–1041 https://doi.org/10.1038/s41431-019-0408-3 MEETING ABSTRACTS Abstracts from the 51st European Society of Human Genetics Conference: Electronic Posters © European Society of Human Genetics 2019 June 16–19, 2018, Fiera Milano Congressi, Milan Italy Sponsorship: Publication of this supplement was sponsored by the European Society of Human Genetics. All content was reviewed and approved by the ESHG Scientific Programme Committee, which held full responsibility for the abstract selections. Disclosure Information: In order to help readers form their own judgments of potential bias in published abstracts, authors are asked to declare any competing financial interests. Contributions of up to EUR 10 000.- (Ten thousand Euros, or equivalent value in kind) per year per company are considered "Modest". Contributions above EUR 10 000.- per year are considered "Significant". 1234567890();,: 1234567890();,: E-P01 Reproductive Genetics/Prenatal Genetics then compared this data to de novo cases where research based PO studies were completed (N=57) in NY. E-P01.01 Results: MFSIQ (66.4) for familial deletions was Parent of origin in familial 22q11.2 deletions impacts full statistically lower (p = .01) than for de novo deletions scale intelligence quotient scores (N=399, MFSIQ=76.2). MFSIQ for children with mater- nally inherited deletions (63.7) was statistically lower D. E. McGinn1,2, M. Unolt3,4, T. B. Crowley1, B. S. Emanuel1,5, (p = .03) than for paternally inherited deletions (72.0). As E. H. Zackai1,5, E. Moss1, B. Morrow6, B. Nowakowska7,J. compared with the NY cohort where the MFSIQ for Vermeesch8, A. -
Perkinelmer Genomics to Request the Saliva Swab Collection Kit for Patients That Cannot Provide a Blood Sample As Whole Blood Is the Preferred Sample
Eye Disorders Comprehensive Panel Test Code D4306 Test Summary This test analyzes 211 genes that have been associated with ocular disorders. 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 Individuals with an eye disease suspected to be genetic in origin Individuals with a family history of eye disease Individuals suspected to have a syndrome associated with an eye disease Test Description This panel analyzes 211 genes that have been associated with ocular disorders. 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 Diseases associated with this panel include microphtalmia, anophthalmia, coloboma, progressive external ophthalmoplegia, optic nerve atrophy, retinal dystrophies, retinitis pigementosa, macular degeneration, flecked-retinal disorders, Usher syndrome, albinsm, Aloprt syndrome, Bardet Biedl syndrome, pulmonary fibrosis, and Hermansky-Pudlak