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MYH9-Related Platelet Disorders
Reprinted with permission from Thieme Medical Publishers (Semin Thromb Hemost 2009;35:189-203) Homepage at www.thieme.com MYH9-Related Platelet Disorders Karina Althaus, M.D.,1 and Andreas Greinacher, M.D.1 ABSTRACT Myosin heavy chain 9 (MYH9)-related platelet disorders belong to the group of inherited thrombocytopenias. The MYH9 gene encodes the nonmuscle myosin heavy chain IIA (NMMHC-IIA), a cytoskeletal contractile protein. Several mutations in the MYH9 gene lead to premature release of platelets from the bone marrow, macro- thrombocytopenia, and cytoplasmic inclusion bodies within leukocytes. Four overlapping syndromes, known as May-Hegglin anomaly, Epstein syndrome, Fechtner syndrome, and Sebastian platelet syndrome, describe different clinical manifestations of MYH9 gene mutations. Macrothrombocytopenia is present in all affected individuals, whereas only some develop additional clinical manifestations such as renal failure, hearing loss, and presenile cataracts. The bleeding tendency is usually moderate, with menorrhagia and easy bruising being most frequent. The biggest risk for the individual is inappropriate treatment due to misdiagnosis of chronic autoimmune thrombocytopenia. To date, 31 mutations of the MYH9 gene leading to macrothrombocytopenia have been identified, of which the upstream mutations up to amino acid 1400 are more likely associated with syndromic manifestations than the downstream mutations. This review provides a short history of MYH9-related disorders, summarizes the clinical and laboratory character- istics, describes a diagnostic algorithm, presents recent results of animal models, and discusses aspects of therapeutic management. KEYWORDS: MYH9 gene, nonmuscle myosin IIA, May-Hegglin anomaly, Epstein syndrome, Fechtner syndrome, Sebastian platelet syndrome, macrothrombocytopenia The correct diagnosis of hereditary chronic as isolated platelet count reductions or as part of thrombocytopenias is important for planning appropri- more complex clinical syndromes. -
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. -
Nuclear Matrix
Nuclear matrix, nuclear envelope and premature aging syndromes in a translational research perspective Pierre Cau, Claire Navarro, Karim Harhouri, Patrice Roll, Sabine Sigaudy, Elise Kaspi, Sophie Perrin, Annachiara de Sandre-Giovannoli, Nicolas Lévy To cite this version: Pierre Cau, Claire Navarro, Karim Harhouri, Patrice Roll, Sabine Sigaudy, et al.. Nuclear matrix, nuclear envelope and premature aging syndromes in a translational research perspective. Seminars in Cell and Developmental Biology, Elsevier, 2014, 29, pp.125-147. 10.1016/j.semcdb.2014.03.021. hal-01646524 HAL Id: hal-01646524 https://hal-amu.archives-ouvertes.fr/hal-01646524 Submitted on 20 Dec 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Review Nuclear matrix, nuclear envelope and premature aging syndromes in a translational research perspective Pierre Cau a,b,c,∗, Claire Navarro a,b,1, Karim Harhouri a,b,1, Patrice Roll a,b,c,1,2, Sabine Sigaudy a,b,d,1,3, Elise Kaspi a,b,c,1,2, Sophie Perrin a,b,1, Annachiara De Sandre-Giovannoli a,b,d,1,3, Nicolas Lévy a,b,d,∗∗ a Aix-Marseille -
HESN CROI Poster
HIV-Exposed Seronegative MSM express antiproteases with novel antiviral activity Laura Romas1,2, Klara Hasselrot3, Carolina Hererra4, Garrett Westmacott5, Francis Plummer5,1, T. Blake Ball2,1, Kristina Broliden3, Adam Burgener2,1,3 1. Dept. of Med. Microbiology, University of Manitoba, CAN 2. National HIV and Retrovirology Laboratory, JC Wilt Infectioius Disease Research Centre, Public Health Agency of Canada; Poster #287 3. Dept. of Medicine Solna, Center for Molecular Medicine, Karolinska Institutet, SWE; 4. Imperial College of London, UK; 5. National Microbiology Laboratory, Public Health Agency of Canada, CAN INTRODUCTION RESULTS SUMMARY •The risk of HIV acquisition through the rectum is signicantly higher than other sites of mucosal exposure, which contributes to disproportionate rates of infection A in at-risk men who have sex with men (MSM) practicing unprotected receptive 1 anal intercourse (URAI). •HIV susceptibility at the rectal mucosa a result of a thin columnar epithlia, pres- ence of activated T cells within the submucosa, and a tighly associated lymphatic Antprotease 2 Antprotease 1 system for easy viral disseminatio(Reviewed in 1). •However, the immunobiology of rectal mucosa, and factors which aect HIV sus- ceptibility are not well understood and represents a major barrier to the develop- ment of prevention technologies. Our recent proteomic analysis of rectal mucosa secretions suggests that this uid contains hundreds of innate factors important for host defense, and is immunologically distinct from other mucosal compart- ments and sites of HIV exposure1. •Study of HIV-Exposed Seronegative (HESN) individuals have shown altered mu- cosal immune responses in cervical, salivary and foreskin secretions associated with reduced HIV-susceptibility2-4. -
Serum Albumin OS=Homo Sapiens
Protein Name Cluster of Glial fibrillary acidic protein OS=Homo sapiens GN=GFAP PE=1 SV=1 (P14136) Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 Cluster of Isoform 3 of Plectin OS=Homo sapiens GN=PLEC (Q15149-3) Cluster of Hemoglobin subunit beta OS=Homo sapiens GN=HBB PE=1 SV=2 (P68871) Vimentin OS=Homo sapiens GN=VIM PE=1 SV=4 Cluster of Tubulin beta-3 chain OS=Homo sapiens GN=TUBB3 PE=1 SV=2 (Q13509) Cluster of Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 (P60709) Cluster of Tubulin alpha-1B chain OS=Homo sapiens GN=TUBA1B PE=1 SV=1 (P68363) Cluster of Isoform 2 of Spectrin alpha chain, non-erythrocytic 1 OS=Homo sapiens GN=SPTAN1 (Q13813-2) Hemoglobin subunit alpha OS=Homo sapiens GN=HBA1 PE=1 SV=2 Cluster of Spectrin beta chain, non-erythrocytic 1 OS=Homo sapiens GN=SPTBN1 PE=1 SV=2 (Q01082) Cluster of Pyruvate kinase isozymes M1/M2 OS=Homo sapiens GN=PKM PE=1 SV=4 (P14618) Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 Clathrin heavy chain 1 OS=Homo sapiens GN=CLTC PE=1 SV=5 Filamin-A OS=Homo sapiens GN=FLNA PE=1 SV=4 Cytoplasmic dynein 1 heavy chain 1 OS=Homo sapiens GN=DYNC1H1 PE=1 SV=5 Cluster of ATPase, Na+/K+ transporting, alpha 2 (+) polypeptide OS=Homo sapiens GN=ATP1A2 PE=3 SV=1 (B1AKY9) Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 Dihydropyrimidinase-related protein 2 OS=Homo sapiens GN=DPYSL2 PE=1 SV=1 Cluster of Alpha-actinin-1 OS=Homo sapiens GN=ACTN1 PE=1 SV=2 (P12814) 60 kDa heat shock protein, mitochondrial OS=Homo -
Hematology Test Requisition
GENETICS AND GENOMICS DIAGNOSTIC LABORATORY Mailing Address: For local courier service and/or inquiries, please contact 513-636-4474 • Fax: 513-636-4373 3333 Burnet Avenue, Room R1042 www.cincinnatichildrens.org/moleculargenetics • Email: [email protected] Cincinnati, OH 45229 HEMATOLOGY TEST REQUISITION All Information Must Be Completed Before Sample Can Be Processed PATIENT INFORMATION ETHNIC/RACIAL BACKGROUND (Choose All) Patient Name: _____________________, ___________________, ________ European American (White) African-American (Black) Last First MI Native American or Alaskan Asian-American Address: _____________________________________________________ Pacific Islander Ashkenazi Jewish ancestry _____________________________________________________ Latino-Hispanic _____________________________________________ Home Phone: _________________________________________________ (specify country/region of origin) MR# __________________ Date of Birth ________ /________ / ________ Other ____________________________________________________ (specify country/region of origin) Sex: Male Female BILLING INFORMATION REFERRING PHYSICIAN o REFERRING INSTITUTION Physician Name (print): _________________________________________ Institution: ____________________________________________________ Address: ____________________________________________________ Address: _____________________________________________________ Phone: ( _______ ) _______________ Fax: ( _______ ) _______________ City/State/Zip: _________________________________________________ -
Actin Nucleator Spire 1 Is a Regulator of Ectoplasmic Specialization in the Testis Qing Wen1,Nanli1,Xiangxiao 1,2,Wing-Yeelui3, Darren S
Wen et al. Cell Death and Disease (2018) 9:208 DOI 10.1038/s41419-017-0201-6 Cell Death & Disease ARTICLE Open Access Actin nucleator Spire 1 is a regulator of ectoplasmic specialization in the testis Qing Wen1,NanLi1,XiangXiao 1,2,Wing-yeeLui3, Darren S. Chu1, Chris K. C. Wong4, Qingquan Lian5,RenshanGe5, Will M. Lee3, Bruno Silvestrini6 and C. Yan Cheng 1 Abstract Germ cell differentiation during the epithelial cycle of spermatogenesis is accompanied by extensive remodeling at the Sertoli cell–cell and Sertoli cell–spermatid interface to accommodate the transport of preleptotene spermatocytes and developing spermatids across the blood–testis barrier (BTB) and the adluminal compartment of the seminiferous epithelium, respectively. The unique cell junction in the testis is the actin-rich ectoplasmic specialization (ES) designated basal ES at the Sertoli cell–cell interface, and the apical ES at the Sertoli–spermatid interface. Since ES dynamics (i.e., disassembly, reassembly and stabilization) are supported by actin microfilaments, which rapidly converts between their bundled and unbundled/branched configuration to confer plasticity to the ES, it is logical to speculate that actin nucleation proteins play a crucial role to ES dynamics. Herein, we reported findings that Spire 1, an actin nucleator known to polymerize actins into long stretches of linear microfilaments in cells, is an important regulator of ES dynamics. Its knockdown by RNAi in Sertoli cells cultured in vitro was found to impede the Sertoli cell tight junction (TJ)-permeability barrier through changes in the organization of F-actin across Sertoli cell cytosol. Unexpectedly, Spire 1 knockdown also perturbed microtubule (MT) organization in Sertoli cells cultured in vitro. -
MYH9 Related Disorder.Pdf
MYH9 related disorder What is it? o MYH9 is a mild platelet bleeding disorder which can be diagnosed from childhood to old age. o It was first described by a German physician Richard May in 1909 and subsequently by a Swiss physician Robert Hegglin in 1945. o MYH9 was originally described as four distinct clinical conditions: Epstein syndrome, May‐ Hegglin anomaly, Sebastian syndrome and Fechtner syndrome. Since the discovery that each of these conditions has the same genetic basis, they are now referred to as one condition: MYH9‐related disorder. Some of the individual syndromes have other features such as cataracts, hearing problems and kidney problems. o MYH9 encodes for a protein, myosin‐9, a key component of a protein complex called myosin IIA, which is important in cell movement and maintaining cell shape. o Mutations in the MYH9 gene cause a mild reduction in the number of platelets (thrombocytopenia) and increased platelet size. Who suffers? o MYH9 affects males and females of all age in approximately equal numbers. o The condition is inherited in an autosomal dominant pattern, which means that just one copy of the altered gene, inherited from the mother or father is sufficient to cause the disorder. o Approximately 30% of cases result from new mutations, in patients with no family history of the disorder What are the symptoms? o Patients with MYH9 disorder may experience nose bleeding, easy bruising, bleeding from gums, heavy or prolonged menstrual bleeding (menorrhagia), bleeding after childbirth, abnormal bleeding after surgery or dental work, and gastrointestinal bleeding. o Patients with MYH9 have additional defects which vary between patients: ‐ hearing loss (from birth to late adulthood); ‐ kidney disease which can lead to end‐stage kidney failure (from early adulthood); ‐ cataracts (from early adulthood: less common). -
Applying Expression Profile Similarity for Discovery of Patient-Specific
bioRxiv preprint doi: https://doi.org/10.1101/172015; this version posted September 17, 2017. 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. Applying expression profile similarity for discovery of patient-specific functional mutations Guofeng Meng Partner Institute of Computational Biology, Yueyang 333, Shanghai, China email: [email protected] Abstract The progress of cancer genome sequencing projects yields unprecedented information of mutations for numerous patients. However, the complexity of mutation profiles of patients hinders the further understanding of mechanisms of oncogenesis. One basic question is how to uncover mutations with functional impacts. In this work, we introduce a computational method to predict functional somatic mutations for each of patient by integrating mutation recurrence with similarity of expression profiles of patients. With this method, the functional mutations are determined by checking the mutation enrichment among a group of patients with similar expression profiles. We applied this method to three cancer types and identified the functional mutations. Comparison of the predictions for three cancer types suggested that most of the functional mutations were cancer-type-specific with one exception to p53. By checking prediction results, we found that our method effectively filtered non-functional mutations resulting from large protein sizes. In addition, this methods can also perform functional annotation to each patient to describe their association with signalling pathways or biological processes. In breast cancer, we predicted "cell adhesion" and other mutated gene associated terms to be significantly enriched among patients. -
Deconstructing Sarcomeric Structure–Function Relations in Titin-Bioid Knock-In Mice
ARTICLE https://doi.org/10.1038/s41467-020-16929-8 OPEN Deconstructing sarcomeric structure–function relations in titin-BioID knock-in mice Franziska Rudolph1, Claudia Fink1, Judith Hüttemeister1, Marieluise Kirchner2, Michael H. Radke 1,3, Jacobo Lopez Carballo1, Eva Wagner4,5,6, Tobias Kohl4,5,6, Stephan E. Lehnart 4,5,6, Philipp Mertins 2,7 & ✉ Michael Gotthardt 1,3,8 Proximity proteomics has greatly advanced the analysis of native protein complexes and 1234567890():,; subcellular structures in culture, but has not been amenable to study development and disease in vivo. Here, we have generated a knock-in mouse with the biotin ligase (BioID) inserted at titin’s Z-disc region to identify protein networks that connect the sarcomere to signal transduction and metabolism. Our census of the sarcomeric proteome from neonatal to adult heart and quadriceps reveals how perinatal signaling, protein homeostasis and the shift to adult energy metabolism shape the properties of striated muscle cells. Mapping biotinylation sites to sarcomere structures refines our understanding of myofilament dynamics and supports the hypothesis that myosin filaments penetrate Z-discs to dampen contraction. Extending this proof of concept study to BioID fusion proteins generated with Crispr/CAS9 in animal models recapitulating human pathology will facilitate the future analysis of molecular machines and signaling hubs in physiological, pharmacological, and disease context. 1 Neuromuscular and Cardiovascular Cell Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert Rössle Strasse, 1013125 Berlin, Germany. 2 Proteomics Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert Rössle Strasse, 1013125 Berlin, Germany. 3 DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany. -
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 -
Lamin B2 Follows Lamin A/C- Mediated Nuclear Mechanics and Cancer Cell Invasion Efficacy
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.07.028969; this version posted April 8, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Lamin B2 follows lamin A/C- mediated nuclear mechanics and cancer cell invasion efficacy Short running title: Nuclear lamins in tumor cell migration Marina Vortmeyer-Krause1†, Mariska te Lindert1†, Joost te Riet2†, Veronika te Boekhorst1†, Rene Marke1, Ramanil Perera1, Philipp Isermann3, Tom van Oorschot1, Monika Zwerger3, Fengwei Yang4, Martin Svoreň1, Anotida Madzvamuse 4, Jan Lammerding3, Peter Friedl1,5,6, Katarina Wolf1* †These authors contributed equally to this work. * Correspondence to: [email protected] *Address of corresponding author: Department of Cell Biology (route 283), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, The Netherlands; [email protected]; Orcid: http://orcid.org/0000-0003-0616-2708 Affiliations 1 Radboud University Medical Center, Department of Cell Biology, 6500 HB Nijmegen, The Netherlands 2 Radboud University Medical Center, Department of Tumor Immunology, 6500 HB Nijmegen, The Netherlands 3 Weill Institute for Cell and Molecular Biology, Meinig School of Biomedical Engineering Cornell University, Ithaca, NY 14853; USA 4 School of Mathematical and Physical Sciences, University of Sussex, Department of Mathematics, BN1 9QH, Falmer, Brighton, United Kingdom 5 David H. Koch Center for Applied Research of Genitourinary Cancers, Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA 6 Cancer Genomics Center, 3584 CG Utrecht, The Netherlands 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.07.028969; this version posted April 8, 2020.