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Clinical Presentation and Genetic Profiles of Chinese Patients With
Journal of Genetics (2019) 98:42 © Indian Academy of Sciences https://doi.org/10.1007/s12041-019-1090-5 RESEARCH ARTICLE Clinical presentation and genetic profiles of Chinese patients with velocardiofacial syndrome in a large referral centre DANDAN WU1,2, YANG CHEN1,2, QIMING CHEN1,2, GUOMING WANG1,2∗, XIAOFENG XU1,2,A.PENG3, JIN HAO4, JINGUANG HE5∗,LIHUANG6∗ and JIEWEN DAI1,2∗ 1Department of Oral and Cranio-maxillofacial Surgery, National Clinical Research Center for Oral Disease, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, People’s Republic of China 2Shanghai Key Laboratory of Stomatology, Shanghai 200011, People’s Republic of China 3State Key Laboratory of Oral Diseases, West China School of Stomatology, Chengdu 610041, People’s Republic of China 4Harvard School of Dental Medicine, Harvard University, Boston 02125, USA 5Department of Plastic Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, People’s Republic of China 6Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People’s Republic of China *For correspondence. E-mail: Jiewen Dai, [email protected]; Guoming Wang, [email protected]; Jinguang He, [email protected]; Li Huang, [email protected]. Received 29 November 2017; revised 8 January 2019; accepted 11 January 2019; published online 4 May 2019 Abstract. Diagnosis and treatment of velocardiofacial syndrome (VCFS) with variable genotypes and phenotypes are considered to be very complicated. Establishing an exact correlation between the phenotypes and genotypes of VCFS is still a challenging. In this paper, 88 Chinese VCFS patients were divided into five groups based on palatal anomalies and one or two of other four common phenotypes, and copy number variations (CNVs) were detected using multiplex ligation-dependent probe amplification (MLPA), array comparative genomic hybridization (aCGH) and quantitative polymerase chain reaction. -
Kinesin-14 Motor Protein KIFC1 Participates in DNA Synthesis and Chromatin Maintenance Ya-Lan Wei1 and Wan-Xi Yang 1
Wei and Yang Cell Death and Disease (2019) 10:402 https://doi.org/10.1038/s41419-019-1619-9 Cell Death & Disease ARTICLE Open Access Kinesin-14 motor protein KIFC1 participates in DNA synthesis and chromatin maintenance Ya-Lan Wei1 and Wan-Xi Yang 1 Abstract The nuclear localization signal (NLS) in kinesin-14 KIFC1 is associated with nuclear importins and Ran gradient, but detailed mechanism remains unknown. In this study, we found that KIFC1 proteins have specific transport characteristics during cell cycle. In the absence of KIFC1, cell cycle kinetics decrease significantly with a prolonged S phase. After KIFC1 overexpression, the duration of S phase becomes shorten. KIFC1 may transport the recombinant/ replicate-related proteins into the nucleus, meanwhile avoiding excessive KIFC1 in the cytoplasm, which results in aberrant microtubule bundling. Interestingly, the deletion of kifc1 in human cells results in a higher ratio of aberrant nuclear membrane, and the degradation of lamin B and lamin A/C. We also found that kifc1 deletion leads to defects in metaphase mitotic spindle assembly, and then results in chromosome structural abnormality. The kifc1-/- cells finally form micronuclei in daughter cells, and results in aneuploidy and chromosome loss in cell cycle. In this study, we demonstrate that kinesin-14 KIFC1 proteins involve in regulating DNA synthesis in S phase, and chromatin maintenance in mitosis, and maintain cell growth in a nuclear transport-independent way. 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; Introduction KIFC1 mainly cluster the spindles involving in chromo- Kinesin-14 KIFC1 transports various cargos along the some alignment and segregation. While chromokinesins microtubule to the minus ends1. -
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BRIEF COMMUNICATION www.jasn.org Renal Fanconi Syndrome and Hypophosphatemic Rickets in the Absence of Xenotropic and Polytropic Retroviral Receptor in the Nephron Camille Ansermet,* Matthias B. Moor,* Gabriel Centeno,* Muriel Auberson,* † † ‡ Dorothy Zhang Hu, Roland Baron, Svetlana Nikolaeva,* Barbara Haenzi,* | Natalya Katanaeva,* Ivan Gautschi,* Vladimir Katanaev,*§ Samuel Rotman, Robert Koesters,¶ †† Laurent Schild,* Sylvain Pradervand,** Olivier Bonny,* and Dmitri Firsov* BRIEF COMMUNICATION *Department of Pharmacology and Toxicology and **Genomic Technologies Facility, University of Lausanne, Lausanne, Switzerland; †Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, Massachusetts; ‡Institute of Evolutionary Physiology and Biochemistry, St. Petersburg, Russia; §School of Biomedicine, Far Eastern Federal University, Vladivostok, Russia; |Services of Pathology and ††Nephrology, Department of Medicine, University Hospital of Lausanne, Lausanne, Switzerland; and ¶Université Pierre et Marie Curie, Paris, France ABSTRACT Tight control of extracellular and intracellular inorganic phosphate (Pi) levels is crit- leaves.4 Most recently, Legati et al. have ical to most biochemical and physiologic processes. Urinary Pi is freely filtered at the shown an association between genetic kidney glomerulus and is reabsorbed in the renal tubule by the action of the apical polymorphisms in Xpr1 and primary fa- sodium-dependent phosphate transporters, NaPi-IIa/NaPi-IIc/Pit2. However, the milial brain calcification disorder.5 How- molecular identity of the protein(s) participating in the basolateral Pi efflux remains ever, the role of XPR1 in the maintenance unknown. Evidence has suggested that xenotropic and polytropic retroviral recep- of Pi homeostasis remains unknown. Here, tor 1 (XPR1) might be involved in this process. Here, we show that conditional in- we addressed this issue in mice deficient for activation of Xpr1 in the renal tubule in mice resulted in impaired renal Pi Xpr1 in the nephron. -
(PWP2) Gene Mapping to 21Q22.3 Ronald G
Downloaded from genome.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press LETTER Isolation and Genomic Structure of a Human Homolog of the Yeast Periodic Tryptophan Protein 2 (PWP2) Gene Mapping to 21q22.3 Ronald G. Lafrenii~re, 1'4 Daniel L. Rochefort, 1 Nathalie Chr~tien, ~ Catherine E. Neville, 2 Robert G. Korneluk, 2 Lin Zuo, 3 Yalin Wei, 3 Jay Lichter, 3 and Guy A. Rouleau ~ 1Centre for Research in Neuroscience, McGill University, and Department of Neurology, Montreal General Hospital Research Institute, Montreal, Canada H3G 1A4; 2DNA Sequencing Core Facility, Canadian Genetic Diseases Network, Children's Hospital of Eastern Ontario, Ottawa, Canada K1H 8L1; 3Sequana Therapeutics, Inc., La Jolla, California 92037 As part of efforts to identify candidate genes for diseases mapping to the 21q22.3 region, we have assembled a 770-kb cosmid and BAC contig containing eight tightly linked markers. These cosmids and BACs were restriction mapped using eight rare cutting enzymes, with the goal of identifying CpG-rich islands. One such island was identified by the clustering of lqotl, Eagl, Sstll, and BssHIl sites, and corresponded to the Nod linking clone LJI04 described previously. A 7.6-kb l-lindlll fragment containing this CpG-rich island was subcloned and partially sequenced. A homology search using the sequence obtained from either side of the Nod site identified an expressed sequence tag with homology to the yeast periodic tryptophan protein 2 (PWP2). Several cDNAs corresponding to the human PWP2 gene were identified and partially sequenced. Northern blot analysis revealed a 3.3-kb transcript that was well expressed in all tissues tested. -
Assembly and Annotation of an Ashkenazi Human Reference Genome
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.18.997395; this version posted March 18, 2020. 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. Assembly and Annotation of an Ashkenazi Human Reference Genome Alaina Shumate1,2,† Aleksey V. Zimin1,2,† Rachel M. Sherman1,3 Daniela Puiu1,3 Justin M. Wagner4 Nathan D. Olson4 Mihaela Pertea1,2 Marc L. Salit5 Justin M. Zook4 Steven L. Salzberg1,2,3,6* 1Center for Computational Biology, Johns Hopkins University, Baltimore, MD 2Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 3Department of Computer Science, Johns Hopkins University, Baltimore, MD 4National Institute of Standards and Technology, Gaithersburg, MD 5Joint Initiative for Metrology in Biology, Stanford University, Stanford, CA 6Department of Biostatistics, Johns Hopkins University, Baltimore, MD †These authors contributed equally to this work. *Corresponding author. Email: [email protected] Abstract Here we describe the assembly and annotation of the genome of an Ashkenazi individual and the creation of a new, population-specific human reference genome. This genome is more contiguous and more complete than GRCh38, the latest version of the human reference genome, and is annotated with highly similar gene content. The Ashkenazi reference genome, Ash1, contains 2,973,118,650 nucleotides as compared to 2,937,639,212 in GRCh38. Annotation identified 20,157 protein-coding genes, of which 19,563 are >99% identical to their counterparts on GRCh38. Most of the remaining genes have small differences. -
UNIVERSITY of CALIFORNIA, SAN DIEGO Functional Analysis of Sall4
UNIVERSITY OF CALIFORNIA, SAN DIEGO Functional analysis of Sall4 in modulating embryonic stem cell fate A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Molecular Pathology by Pei Jen A. Lee Committee in charge: Professor Steven Briggs, Chair Professor Geoff Rosenfeld, Co-Chair Professor Alexander Hoffmann Professor Randall Johnson Professor Mark Mercola 2009 Copyright Pei Jen A. Lee, 2009 All rights reserved. The dissertation of Pei Jen A. Lee is approved, and it is acceptable in quality and form for publication on microfilm and electronically: ______________________________________________________________ ______________________________________________________________ ______________________________________________________________ ______________________________________________________________ Co-Chair ______________________________________________________________ Chair University of California, San Diego 2009 iii Dedicated to my parents, my brother ,and my husband for their love and support iv Table of Contents Signature Page……………………………………………………………………….…iii Dedication…...…………………………………………………………………………..iv Table of Contents……………………………………………………………………….v List of Figures…………………………………………………………………………...vi List of Tables………………………………………………….………………………...ix Curriculum vitae…………………………………………………………………………x Acknowledgement………………………………………………….……….……..…...xi Abstract………………………………………………………………..…………….....xiii Chapter 1 Introduction ..…………………………………………………………………………….1 Chapter 2 Materials and Methods……………………………………………………………..…12 -
DNA Topoisomerases and Cancer Topoisomerases and TOP Genes in Humans Humans Vs
DNA Topoisomerases Review DNA Topoisomerases And Cancer Topoisomerases and TOP Genes in Humans Humans vs. Escherichia Coli Topoisomerase differences Comparisons Topoisomerase and genomes Top 1 Top1 and Top2 differences Relaxation of DNA Top1 DNA supercoiling DNA supercoiling In the context of chromatin, where the rotation of DNA is constrained, DNA supercoiling (over- and under-twisting and writhe) is readily generated. TOP1 and TOP1mt remove supercoiling by DNA untwisting, acting as “swivelases”, whereas TOP2a and TOP2b remove writhe, acting as “writhases” at DNA crossovers (see TOP2 section). Here are some basic facts concerning DNA supercoiling that are relevant to topoisomerase activity: • Positive supercoiling (Sc+) tightens the DNA helix whereas negative supercoiling (Sc-) facilitates the opening of the duplex and the generation of single-stranded segments. • Nucleosome formation and disassembly absorbs and releases Sc-, respectively. • Polymerases generate Sc+ ahead and Sc- behind their tracks. • Excess of Sc+ arrests DNA tracking enzymes (helicases and polymerases), suppresses transcription elongation and initiation, and destabilizes nucleosomes. • Sc- facilitates DNA melting during the initiation of replication and transcription, D-loop formation and homologous recombination and nucleosome formation. • Excess of Sc- favors the formation of alternative DNA structures (R-loops, guanine quadruplexes, right-handed DNA (Z-DNA), plectonemic structures), which then absorb Sc- upon their formation and attract regulatory proteins. The -
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. -
Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes
[CANCER RESEARCH 64, 6453–6460, September 15, 2004] Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes Be´atrice Orsetti,1 Me´lanie Nugoli,1 Nathalie Cervera,1 Laurence Lasorsa,1 Paul Chuchana,1 Lisa Ursule,1 Catherine Nguyen,2 Richard Redon,3 Stanislas du Manoir,3 Carmen Rodriguez,1 and Charles Theillet1 1Ge´notypes et Phe´notypes Tumoraux, EMI229 INSERM/Universite´ Montpellier I, Montpellier, France; 2ERM 206 INSERM/Universite´ Aix-Marseille 2, Parc Scientifique de Luminy, Marseille cedex, France; and 3IGBMC, U596 INSERM/Universite´Louis Pasteur, Parc d’Innovation, Illkirch cedex, France ABSTRACT 17q12-q21 corresponding to the amplification of ERBB2 and collinear genes, and a large region at 17q23 (5, 6). A number of new candidate Chromosome 17 is severely rearranged in breast cancer. Whereas the oncogenes have been identified, among which GRB7 and TOP2A at short arm undergoes frequent losses, the long arm harbors complex 17q21 or RP6SKB1, TBX2, PPM1D, and MUL at 17q23 have drawn combinations of gains and losses. In this work we present a comprehensive study of quantitative anomalies at chromosome 17 by genomic array- most attention (6–10). Furthermore, DNA microarray studies have comparative genomic hybridization and of associated RNA expression revealed additional candidates, with some located outside current changes by cDNA arrays. We built a genomic array covering the entire regions of gains, thus suggesting the existence of additional amplicons chromosome at an average density of 1 clone per 0.5 Mb, and patterns of on 17q (8, 9). gains and losses were characterized in 30 breast cancer cell lines and 22 Our previous loss of heterozygosity mapping data pointed to the primary tumors. -
A Key Genomic Signature Associated with Lymphovascular Invasion in Head and Neck Squamous Cell Carcinoma
A key genomic signature associated with lymphovascular invasion in head and neck squamous cell carcinoma Jian Zhang Aliated Cancer hospital & Institute of Guangzhou Medical University Huali Jiang Aliated Donghua Hospital of Sun Yat-sen University Tao Xie Aliated Cancer Hospital of Guangzhou Medical University Baiyao Wang Aliated Cancer Hospital of Guangzhou Medical Unversity Xiaoting Huang Aliated Cancer Hospital & Institute of Guangzhou Medical University Jie Lin Aliated Cancer Hospital & Institute of Guangzhou Medical University Anan Xu Aliated Cancer Hospital of Guangzhou Medical University Rong Li Aliated Cancer Hospital & Institute of Guangzhou Medical University Yawei Yuan ( [email protected] ) Guangzhou Medical University Aliated Cancer Hospital Research article Keywords: lymphovascular invasion, head and neck squamous cell carcinoma, hub genes, TCGA, weighted gene co-expression network analysis Posted Date: January 16th, 2020 DOI: https://doi.org/10.21203/rs.2.18349/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/24 Abstract Objective: Lymphovascular invasion (LOI), a key pathological feature of head and neck squamous cell carcinoma (HNSCC), predicts poor survival. However, the associated clinical characteristics remain uncertain, and the molecular mechanisms are largely unknown. Methods: Weighted gene co-expression network analysis was performed to construct gene co-expression networks and investigate the relationship between modules and LOI clinical trait. Functional enrichment and KEGG pathway enrichment analysis were performed for differentially expressed genes using DAVID database. The protein-protein interaction network was constructed using Cytoscape software, and module analysis was performed using MCODE. Prognosis role and expression analysis was further validated by survival analysis, GEPIA analysis and HPA database. -
Exome-Wide Meta-Analysis Identifies Rare 3'-UTR Variant In
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Erasmus University Digital Repository ORIGINAL RESEARCH published: 18 October 2017 doi: 10.3389/fgene.2017.00151 Exome-Wide Meta-Analysis Identifies Rare 3′-UTR Variant in ERCC1/CD3EAP Associated with Symptoms of Sleep Apnea Ashley van der Spek 1, Annemarie I. Luik 2, Desana Kocevska 3, Chunyu Liu 4, 5, 6, Rutger W. W. Brouwer 7, Jeroen G. J. van Rooij 8, 9, 10, Mirjam C. G. N. van den Hout 7, Robert Kraaij 1, 8, 9, Albert Hofman 1, 11, André G. Uitterlinden 1, 8, 9, Wilfred F. J. van IJcken 7, Daniel J. Gottlieb 12, 13, 14, Henning Tiemeier 1, 15, Cornelia M. van Duijn 1 and Najaf Amin 1* 1 Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands, 2 Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 3 Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, Netherlands, 4 Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA, United States, 5 Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD, United States, 6 Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States, 7 Center for Biomics, Erasmus Medical Center, Rotterdam, Netherlands, 8 Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Netherlands, 9 Netherlands Consortium for Healthy Ageing, Rotterdam, Netherlands, 10 Department of Neurology, Erasmus -
Bidirectional Cooperation Between Ubtf1 and SL1 Determines RNA Polymerase I Promoter
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.07.447350; this version posted June 7, 2021. 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. 1 Bidirectional cooperation between Ubtf1 and SL1 determines RNA Polymerase I promoter 2 recognition in cell and is negatively affected in the UBTF-E210K neuroregression syndrome. 3 4 Michel G. Tremblay1, Dany S. Sibai1,2, Melissa Valère1,2, Jean-Clément Mars1,2,+, Frédéric Lessard1, 5 Roderick T. Hori3, Mohammad M. Khan4, Victor Y. Stefanovsky1, Mark S. Ledoux5 and Tom Moss1,2*. 6 7 1Laboratory of Growth and Development, St-Patrick Research Group in Basic Oncology, Cancer 8 Division of the Quebec University Hospital Research Centre, Québec, Canada. 2Department of 9 Molecular Biology, Medical Biochemistry and Pathology, Faculty of Medicine, Laval University, 10 Québec, Canada. 3Departments of Microbiology, Immunology and Biochemistry and 4Departments of 11 Neurology and Anatomy & Neurobiology, University of Tennessee Health Science Center, Memphis, 12 TN, USA. 5Department of Psychology, University of Memphis, Memphis TN and Veracity 13 Neuroscience LLC, Memphis, TN 14 15 +Present address, IRIC, Université de Montréal, Montréal, Québec, Canada 16 17 Correspondence should be addressed to; 18 Tom Moss, PhD, 19 Edifice St Patrick, 9 rue McMahon, Québec, QC, G1R 3S3, Canada. 20 E-mail. [email protected] 21 Tel. 1 418 691 5281 22 FAX 1 418 691 5439 23 24 Short title: Ubtf1-SL1 cooperation and the Ubtf-E210K syndrome.