Cardiovascular Diseases Genetic Testing Program Information
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FLNC Missense Variants in Familial Noncompaction Cardiomyopathy
Cardiogenetics 2019; volume 9:8181 FLNC missense variants than 2 according to current echocardio- in familial noncompaction graphic criteria, or 2.3 on CMR.1,2 Correspondence: Jaap I. van Waning, Approximately 10% of patients diagnosed Department of Clinical Genetics, EE 2038, cardiomyopathy with NCCM have concurrent congenital Erasmus MC, POB 2040, 3000CA Rotterdam, heart defects (CHD).3,4 the Netherlands. Tel.: +3107038388 - Fax: +3107043072. Jaap I. van Waning,1 In 30-40% of cases diagnosed with E-mail: [email protected] Yvonne M. Hoedemaekers,2 NCCM a pathogenic variant can be identi- 2,3 4 Wouter P. te Rijdt, Arne I. Jpma, fied. Around 80% of these pathogenic vari- Acknowledgements: JVW was supported by a Daphne Heijsman,4 Kadir Caliskan,5 ants involve the same sarcomere genes, that grant from the Jaap Schouten Foundation. Elke S. Hoendermis,6 are the major causes for hypertrophic car- WPTR was supported by a Young Talent Program (CVON PREDICT) grant 2017T001 Tineke P. Willems,7 diomyopathy (HCM) and dilated cardiomy- - Dutch Heart Foundation. 8 opathy (DCM), in particular MYH7, Arthur van den Wijngaard, 5,6 3 MYBPC3 and TTN. Filamin C (FLNC) Albert Suurmeijer, Conflict of interest: the authors declare no plays a central role in muscle functioning Marjon A. van Slegtenhorst,1 potential conflict of interest. by maintaining the structural integrity of the Jan D.H. Jongbloed,2 muscle fibers. Pathogenic variants in FLNC Received for publication: 20 March 2019. Danielle F. Majoor-Krakauer,1 2 were found to be associated with a wide Revision received: 29 July 2019. Paul A. -
The Cytoskeleton in Cell-Autonomous Immunity: Structural Determinants of Host Defence
Mostowy & Shenoy, Nat Rev Immunol, doi:10.1038/nri3877 The cytoskeleton in cell-autonomous immunity: structural determinants of host defence Serge Mostowy and Avinash R. Shenoy Medical Research Council Centre of Molecular Bacteriology and Infection (CMBI), Imperial College London, Armstrong Road, London SW7 2AZ, UK. e‑mails: [email protected] ; [email protected] doi:10.1038/nri3877 Published online 21 August 2015 Abstract Host cells use antimicrobial proteins, pathogen-restrictive compartmentalization and cell death in their defence against intracellular pathogens. Recent work has revealed that four components of the cytoskeleton — actin, microtubules, intermediate filaments and septins, which are well known for their roles in cell division, shape and movement — have important functions in innate immunity and cellular self-defence. Investigations using cellular and animal models have shown that these cytoskeletal proteins are crucial for sensing bacteria and for mobilizing effector mechanisms to eliminate them. In this Review, we highlight the emerging roles of the cytoskeleton as a structural determinant of cell-autonomous host defence. 1 Mostowy & Shenoy, Nat Rev Immunol, doi:10.1038/nri3877 Cell-autonomous immunity, which is defined as the ability of a host cell to eliminate an invasive infectious agent, is a first line of defence against microbial pathogens 1 . It relies on antimicrobial proteins, specialized degradative compartments and programmed host cell death 1–3 . Cell- autonomous immunity is mediated by tiered innate immune signalling networks that sense microbial pathogens and stimulate downstream pathogen elimination programmes. Recent studies on host– microorganism interactions show that components of the host cell cytoskeleton are integral to the detection of bacterial pathogens as well as to the mobilization of antibacterial responses (FIG. -
Atlas Antibodies in Breast Cancer Research Table of Contents
ATLAS ANTIBODIES IN BREAST CANCER RESEARCH TABLE OF CONTENTS The Human Protein Atlas, Triple A Polyclonals and PrecisA Monoclonals (4-5) Clinical markers (6) Antibodies used in breast cancer research (7-13) Antibodies against MammaPrint and other gene expression test proteins (14-16) Antibodies identified in the Human Protein Atlas (17-14) Finding cancer biomarkers, as exemplified by RBM3, granulin and anillin (19-22) Co-Development program (23) Contact (24) Page 2 (24) Page 3 (24) The Human Protein Atlas: a map of the Human Proteome The Human Protein Atlas (HPA) is a The Human Protein Atlas consortium cell types. All the IHC images for Swedish-based program initiated in is mainly funded by the Knut and Alice the normal tissue have undergone 2003 with the aim to map all the human Wallenberg Foundation. pathology-based annotation of proteins in cells, tissues and organs expression levels. using integration of various omics The Human Protein Atlas consists of technologies, including antibody- six separate parts, each focusing on References based imaging, mass spectrometry- a particular aspect of the genome- 1. Sjöstedt E, et al. (2020) An atlas of the based proteomics, transcriptomics wide analysis of the human proteins: protein-coding genes in the human, pig, and and systems biology. mouse brain. Science 367(6482) 2. Thul PJ, et al. (2017) A subcellular map of • The Tissue Atlas shows the the human proteome. Science. 356(6340): All the data in the knowledge resource distribution of proteins across all eaal3321 is open access to allow scientists both major tissues and organs in the 3. -
Screening for Copy Number Variation in Genes Associated with the Long QT Syndrome Clinical Relevance
Journal of the American College of Cardiology Vol. 57, No. 1, 2011 © 2011 by the American College of Cardiology Foundation ISSN 0735-1097/$36.00 Published by Elsevier Inc. doi:10.1016/j.jacc.2010.08.621 Heart Rhythm Disorders Screening for Copy Number Variation in Genes Associated With the Long QT Syndrome Clinical Relevance Julien Barc, PHD,*‡§ François Briec, MD,*†‡§ Sébastien Schmitt, MD,ʈ Florence Kyndt, PharmD, PHD,*‡§ʈ Martine Le Cunff, BS,*‡§ Estelle Baron, BS,*‡§ Claude Vieyres, MD,¶ Frédéric Sacher, MD,# Richard Redon, PHD,*‡§ Cédric Le Caignec, MD, PHD,*‡§ʈ Hervé Le Marec, MD, PHD,*†‡§ Vincent Probst, MD, PHD,*†‡§ Jean-Jacques Schott, PHD*†‡§ Nantes, Angoulême, and Bordeaux, France Objectives The aim of this study was to investigate, in a set of 93 mutation-negative long QT syndrome (LQTS) probands, the frequency of copy number variants (CNVs) in LQTS genes. Background LQTS is an inherited cardiac arrhythmia characterized by a prolonged heart rate–corrected QT (QTc) interval as- sociated with sudden cardiac death. Recent studies suggested the involvement of duplications or deletions in the occurrence of LQTS. However, their frequency remains unknown in LQTS patients. Methods Point mutations in KCNQ1, KCNH2, and SCN5A genes were excluded by denaturing high-performance liquid chromatography or direct sequencing. We applied Multiplex Ligation-dependent Probe Amplification (MLPA) to detect CNVs in exons of these 3 genes. Abnormal exon copy numbers were confirmed by quantitative multiplex PCR of short fluorescent fragment (QMPSF). Array-based comparative genomic hybridization (array CGH) analysis was performed using Agilent Human Genome 244K Microarrays to further map the genomic rearrangements. -
Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
Characterization of Pulmonary Arteriovenous Malformations in ACVRL1 Versus ENG Mutation Carriers in Hereditary Hemorrhagic Telangiectasia
© American College of Medical Genetics and Genomics ORIGINAL RESEARCH ARTICLE Characterization of pulmonary arteriovenous malformations in ACVRL1 versus ENG mutation carriers in hereditary hemorrhagic telangiectasia Weiyi Mu, ScM1, Zachary A. Cordner, MD, PhD2, Kevin Yuqi Wang, MD3, Kate Reed, MPH, ScM4, Gina Robinson, RN5, Sally Mitchell, MD5 and Doris Lin, MD, PhD5 Purpose: Pulmonary arteriovenous malformations (pAVMs) are mutation carriers to have pAVMs (P o 0.001) or multiple lesions major contributors to morbidity and mortality in hereditary (P = 0.03), and to undergo procedural intervention (P = 0.02). hemorrhagic telangiectasia (HHT). Mutations in ENG and ACVRL1 Additionally, pAVMs in ENG carriers were more likely to exhibit underlie the vast majority of clinically diagnosed cases. The aims of bilateral lung involvement and growth over time, although this did this study were to characterize and compare the clinical and not reach statistical significance. The HHT severity score was morphologic features of pAVMs between these two genotype significantly higher in ENG than in ACVRL1 (P = 0.02). groups. Conclusion: The propensity and multiplicity of ENG-associated Methods: Sixty-six patients with HHT and affected family pAVMs may contribute to the higher disease severity in this members were included. Genotype, phenotypic data, and imaging genotype, as reflected by the HHT severity score and the frequency were obtained from medical records. Morphologic features of of interventional procedures. pAVMs were analyzed using computed tomography angiography. Genet Med HHT symptoms, pAVM imaging characteristics, frequency of advance online publication 19 October 2017 procedural intervention, and HHT severity scores were compared Key Words: ACVRL1; ENG; genotype-phenotype correlation; between ENG and ACVRL1 genotype groups. -
List of Genes Associated with Sudden Cardiac Death (Scdgseta) Gene
List of genes associated with sudden cardiac death (SCDgseta) mRNA expression in normal human heart Entrez_I Gene symbol Gene name Uniprot ID Uniprot name fromb D GTEx BioGPS SAGE c d e ATP-binding cassette subfamily B ABCB1 P08183 MDR1_HUMAN 5243 √ √ member 1 ATP-binding cassette subfamily C ABCC9 O60706 ABCC9_HUMAN 10060 √ √ member 9 ACE Angiotensin I–converting enzyme P12821 ACE_HUMAN 1636 √ √ ACE2 Angiotensin I–converting enzyme 2 Q9BYF1 ACE2_HUMAN 59272 √ √ Acetylcholinesterase (Cartwright ACHE P22303 ACES_HUMAN 43 √ √ blood group) ACTC1 Actin, alpha, cardiac muscle 1 P68032 ACTC_HUMAN 70 √ √ ACTN2 Actinin alpha 2 P35609 ACTN2_HUMAN 88 √ √ √ ACTN4 Actinin alpha 4 O43707 ACTN4_HUMAN 81 √ √ √ ADRA2B Adrenoceptor alpha 2B P18089 ADA2B_HUMAN 151 √ √ AGT Angiotensinogen P01019 ANGT_HUMAN 183 √ √ √ AGTR1 Angiotensin II receptor type 1 P30556 AGTR1_HUMAN 185 √ √ AGTR2 Angiotensin II receptor type 2 P50052 AGTR2_HUMAN 186 √ √ AKAP9 A-kinase anchoring protein 9 Q99996 AKAP9_HUMAN 10142 √ √ √ ANK2/ANKB/ANKYRI Ankyrin 2 Q01484 ANK2_HUMAN 287 √ √ √ N B ANKRD1 Ankyrin repeat domain 1 Q15327 ANKR1_HUMAN 27063 √ √ √ ANKRD9 Ankyrin repeat domain 9 Q96BM1 ANKR9_HUMAN 122416 √ √ ARHGAP24 Rho GTPase–activating protein 24 Q8N264 RHG24_HUMAN 83478 √ √ ATPase Na+/K+–transporting ATP1B1 P05026 AT1B1_HUMAN 481 √ √ √ subunit beta 1 ATPase sarcoplasmic/endoplasmic ATP2A2 P16615 AT2A2_HUMAN 488 √ √ √ reticulum Ca2+ transporting 2 AZIN1 Antizyme inhibitor 1 O14977 AZIN1_HUMAN 51582 √ √ √ UDP-GlcNAc: betaGal B3GNT7 beta-1,3-N-acetylglucosaminyltransfe Q8NFL0 -
Key Pathways Involved in Prostate Cancer Based on Gene Set Enrichment Analysis and Meta Analysis
Key pathways involved in prostate cancer based on gene set enrichment analysis and meta analysis Q.Y. Ning1, J.Z. Wu1, N. Zang2, J. Liang3, Y.L. Hu2 and Z.N. Mo4 1Department of Infection, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China 2The Medical Scientific Research Centre, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China 3Department of Biology Technology, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China 4Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Corresponding authors: Y.L. Hu / Z.N. Mo E-mail: [email protected] / [email protected] Genet. Mol. Res. 10 (4): 3856-3887 (2011) Received June 7, 2011 Accepted October 14, 2011 Published December 14, 2011 DOI http://dx.doi.org/10.4238/2011.December.14.10 ABSTRACT. Prostate cancer is one of the most common male malignant neoplasms; however, its causes are not completely understood. A few recent studies have used gene expression profiling of prostate cancer to identify differentially expressed genes and possible relevant pathways. However, few studies have examined the genetic mechanics of prostate cancer at the pathway level to search for such pathways. We used gene set enrichment analysis and a meta-analysis of six independent studies after standardized microarray preprocessing, which increased concordance between these gene datasets. Based on gene set enrichment analysis, there were 12 down- and 25 up-regulated mixing pathways in more than two tissue datasets, while there were two down- and two up-regulated mixing pathways in three cell datasets. -
Heterotrimeric Go Protein Links Wnt-Frizzled Signaling with Ankyrins to Regulate the Neuronal Microtubule Cytoskeleton Anne-Marie Lüchtenborg1,2, Gonzalo P
© 2014. Published by The Company of Biologists Ltd | Development (2014) 141, 3399-3409 doi:10.1242/dev.106773 RESEARCH ARTICLE Heterotrimeric Go protein links Wnt-Frizzled signaling with ankyrins to regulate the neuronal microtubule cytoskeleton Anne-Marie Lüchtenborg1,2, Gonzalo P. Solis1, Diane Egger-Adam2, Alexey Koval1, Chen Lin1,2, Maxime G. Blanchard1, Stephan Kellenberger1 and Vladimir L. Katanaev1,2,* ABSTRACT The evolutionarily conserved Wg pathway is important for Drosophila neuromuscular junctions (NMJs) represent a powerful numerous developmental programs and cellular processes (Logan model system with which to study glutamatergic synapse formation and Nusse, 2004). In the nervous system of Drosophila,Wg and remodeling. Several proteins have been implicated in these signaling is involved in the formation of neuromuscular junctions processes, including components of canonical Wingless (Drosophila (NMJs) (Packard et al., 2002; Miech et al., 2008). Being a Wnt1) signaling and the giant isoforms of the membrane-cytoskeleton glutamatergic synapse, the Drosophila NMJ provides a useful linker Ankyrin 2, but possible interconnections and cooperation experimental model with which to study mammalian central between these proteins were unknown. Here, we demonstrate that nervous system synapses, their formation and remodeling (Collins the heterotrimeric G protein Go functions as a transducer of Wingless- and DiAntonio, 2007). The Drosophila NMJ is a beads-on-a-string- Frizzled 2 signaling in the synapse. We identify Ankyrin 2 as a target like structure that is formed at the axon terminus and is composed of – – of Go signaling required for NMJ formation. Moreover, the Go-ankyrin distinct circular structures the synaptic boutons which contain interaction is conserved in the mammalian neurite outgrowth pathway. -
Tumor Promoting Effect of BMP Signaling in Endometrial Cancer
International Journal of Molecular Sciences Article Tumor Promoting Effect of BMP Signaling in Endometrial Cancer Tomohiko Fukuda 1,* , Risa Fukuda 1, Kohei Miyazono 1,2,† and Carl-Henrik Heldin 1,*,† 1 Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Box 582, Uppsala University, SE-751 23 Uppsala, Sweden; [email protected] (R.F.); [email protected] (K.M.) 2 Department of Molecular Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan * Correspondence: [email protected] (T.F.); [email protected] (C.-H.H.); Tel.: +46-18-4714738 (T.F.); +46-18-4714738 (C.-H.H.) † These authors contributed equally to this work. Abstract: The effects of bone morphogenetic proteins (BMPs), members of the transforming growth factor-β (TGF-β) family, in endometrial cancer (EC) have yet to be determined. In this study, we analyzed the TCGA and MSK-IMPACT datasets and investigated the effects of BMP2 and of TWSG1, a BMP antagonist, on Ishikawa EC cells. Frequent ACVR1 mutations and high mRNA expressions of BMP ligands and receptors were observed in EC patients of the TCGA and MSK-IMPACT datasets. Ishikawa cells secreted higher amounts of BMP2 compared with ovarian cancer cell lines. Exogenous BMP2 stimulation enhanced EC cell sphere formation via c-KIT induction. BMP2 also induced EMT of EC cells, and promoted migration by induction of SLUG. The BMP receptor kinase inhibitor LDN193189 augmented the growth inhibitory effects of carboplatin. Analyses of mRNAs of several BMP antagonists revealed that TWSG1 mRNA was abundantly expressed in Ishikawa cells. -
Diagnostic Test: OBESITÀ GENETICHE MENDELIANE
Diagnostic test: OBESITÀ GENETICHE MENDELIANE MENDELIAN OBESITY Panel / Illumina Custom panel, Nextera Enrichment Technology / Coding exons and flanking regions of genes List of gene(s) and disease(s) tested: ALMS1, ARL6, BBIP1, BBS1, BBS10, BBS12, BBS2, BBS4, BBS5, BBS7, BBS9, C8orf37, CARTPT, CEP19, CEP290, DYRK1B, GNAS, HDAC8, IFT172, IFT27, INPP5E, INSR, KSR2, LEP, LEPR, LZTFL1, MC3R, MC4R, MCHR1, MEGF8, MKKS, MKS1, NR0B2, PCSK1, PHF6, POMC, PPARG, PPP1R3A, RAB23, SDCCAG8, SH2B1, SIM1, TRIM32, TTC8, UCP3, VPS13B, WDPCP ORPHA:98267 Obesità non sindromica genetica Obesità sindromica Tabella Elenco delle forme di OBESITÀ GENETICHE MENDELIANE e la loro eziologia genetica Phenotype OMIM# Gene OMIM# Phenotype Gene Alstrom syndrome 203800 ALMS1 606844 Bardet-Biedl syndrome 3 600151 ARL6 608845 Bardet-Biedl syndrome 18 615995 BBIP1 613605 Bardet-Biedl syndrome 1 209900 BBS1 209901 Bardet-Biedl syndrome 10 615987 BBS10 610148 Bardet-Biedl syndrome 12 615989 BBS12 610683 Bardet-Biedl syndrome 2 615981 BBS2 606151 Bardet-Biedl syndrome 4 615982 BBS4 600374 Bardet-Biedl syndrome 5 615983 BBS5 603650 Bardet-Biedl syndrome 7 615984 BBS7 607590 Bardet-Biedl syndrome 21 617406 C8orf37 614477 Obesity, severe HGMD CARTPT 602606 Morbid obesity and spermatogenic failure; Bardet-Biedl syndrome; Morbid obesity 615703; HGMD CEP19 615586 Bardet-Biedl syndrome 14 615991 CEP290 610142 Abdominal obesity-metabolic syndrome 3 615812 DYRK1B 604556 Pseudohypoparathyroidism Ia; Pseudohypoparathyroidism Ic 103580; 612462 GNAS 139320 Cornelia de Lange syndrome 5 300882 -
Identification of an FHL1 Protein Complex Containing Gamma-Actin and Non-Muscle Myosin IIB by Analysis of Protein-Protein Interactions
Identification of an FHL1 Protein Complex Containing Gamma-Actin and Non-Muscle Myosin IIB by Analysis of Protein-Protein Interactions Lili Wang1*, Jianing Miao1, Lianyong Li2,DiWu1, Yi Zhang1, Zhaohong Peng1, Lijun Zhang2, Zhengwei Yuan1, Kailai Sun3 1 Key Laboratory of Health ~Ministry for Congenital Malformation, Shengjing Hospital, China Medical University, Shenyang, China, 2 Department of Pediatric Surgery, Shengjing Hospital, China Medical University, Shenyang, China, 3 Department of Medical Genetics, China Medical University, Shenyang, China Abstract FHL1 is multifunctional and serves as a modular protein binding interface to mediate protein-protein interactions. In skeletal muscle, FHL1 is involved in sarcomere assembly, differentiation, growth, and biomechanical stress. Muscle abnormalities may play a major role in congenital clubfoot (CCF) deformity during fetal development. Thus, identifying the interactions of FHL1 could provide important new insights into its functional role in both skeletal muscle development and CCF pathogenesis. Using proteins derived from rat L6GNR4 myoblastocytes, we detected FHL1 interacting proteins by immunoprecipitation. Samples were analyzed by liquid chromatography mass spectrometry (LC-MS). Dynamic gene expression of FHL1 was studied. Additionally, the expression of the possible interacting proteins gamma-actin and non- muscle myosin IIB, which were isolated from the lower limbs of E14, E15, E17, E18, E20 rat embryos or from adult skeletal muscle was analyzed. Potential interacting proteins isolated from E17 lower limbs were verified by immunoprecipitation, and co-localization in adult gastrocnemius muscle was visualized by fluorescence microscopy. FHL1 expression was associated with skeletal muscle differentiation. E17 was found to be the critical time-point for skeletal muscle differentiation in the lower limbs of rat embryos.