Genomic Rearrangements of the 7Q11-21 Region
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Genome Wide Association Study of Response to Interval and Continuous Exercise Training: the Predict‑HIIT Study Camilla J
Williams et al. J Biomed Sci (2021) 28:37 https://doi.org/10.1186/s12929-021-00733-7 RESEARCH Open Access Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study Camilla J. Williams1†, Zhixiu Li2†, Nicholas Harvey3,4†, Rodney A. Lea4, Brendon J. Gurd5, Jacob T. Bonafglia5, Ioannis Papadimitriou6, Macsue Jacques6, Ilaria Croci1,7,20, Dorthe Stensvold7, Ulrik Wislof1,7, Jenna L. Taylor1, Trishan Gajanand1, Emily R. Cox1, Joyce S. Ramos1,8, Robert G. Fassett1, Jonathan P. Little9, Monique E. Francois9, Christopher M. Hearon Jr10, Satyam Sarma10, Sylvan L. J. E. Janssen10,11, Emeline M. Van Craenenbroeck12, Paul Beckers12, Véronique A. Cornelissen13, Erin J. Howden14, Shelley E. Keating1, Xu Yan6,15, David J. Bishop6,16, Anja Bye7,17, Larisa M. Haupt4, Lyn R. Grifths4, Kevin J. Ashton3, Matthew A. Brown18, Luciana Torquati19, Nir Eynon6 and Jef S. Coombes1* Abstract Background: Low cardiorespiratory ftness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. Methods: Participant change in objectively measured V̇O2peak from 18 diferent interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms= (SNPs) signifcantly associ- –5 ated (P < 1 10 ) with the magnitude of V̇O2peak response. -
Identi Cation of Novel Biomarkers for Metabolic Syndrome Based On
Identication of Novel Biomarkers for Metabolic Syndrome Based on Machine Learning Algorithms and Integrated Bioinformatics Analysis Guanzhi Liu Xi'an Jiaotong University Second Aliated Hospital https://orcid.org/0000-0003-1626-5006 Chen Chen Department of Cardiovascular Medicine, First Aliated Hospital of Xi’an Jiaotong University, Xi’an, China Ning Kong Bone and Joint Surgery Center, Second Aliated Hospital of Xi’an Jiaotong University, Xi’an, China Yutian Lei Bone and Joint Surgery Center, Second Aliated Hospital of Xi’an Jiaotong University, Xi’an, China Sen Luo Bone and Joint Surgery Center, Second Aliated Hospital of Xi’an Jiaotong University, Xi’an, China Zhuo Huang Bone and Joint Surgery Center, Second Aliated Hospital of Xi’an Jiaotong University, Xi’an, China Kunzheng Wang Bone and Joint Surgery Center, Second Aliated Hospital of Xi’an Jiaotong University, Xi’an, China Pei Yang Bone and Joint Surgery Center, Second Aliated Hospital of Xi’an Jiaotong University, Xi’an, China Xin Huang ( [email protected] ) Department of Cardiovascular Medicine, First Aliated Hospital of Xi’an Jiaotong University, Xi’an, China Research Keywords: metabolic syndrome, WGCNA, diagnostic biomarkers, bioinformatics, machine learning Posted Date: February 24th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-225591/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/20 Abstract Background: Metabolic syndrome is a common and complicated metabolic disorder and dened as a clustering of metabolic risk factors such as insulin resistance or diabetes, obesity, hypertension, and hyperlipidemia. However, its early diagnosis is limited because the lack of denitive clinical diagnostic biomarkers. -
Circular RNA Hsa Circ 0005114‑Mir‑142‑3P/Mir‑590‑5P‑ Adenomatous
ONCOLOGY LETTERS 21: 58, 2021 Circular RNA hsa_circ_0005114‑miR‑142‑3p/miR‑590‑5p‑ adenomatous polyposis coli protein axis as a potential target for treatment of glioma BO WEI1*, LE WANG2* and JINGWEI ZHAO1 1Department of Neurosurgery, China‑Japan Union Hospital of Jilin University, Changchun, Jilin 130033; 2Department of Ophthalmology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin 130021, P.R. China Received September 12, 2019; Accepted October 22, 2020 DOI: 10.3892/ol.2020.12320 Abstract. Glioma is the most common type of brain tumor APC expression with a good overall survival rate. UALCAN and is associated with a high mortality rate. Despite recent analysis using TCGA data of glioblastoma multiforme and the advances in treatment options, the overall prognosis in patients GSE25632 and GSE103229 microarray datasets showed that with glioma remains poor. Studies have suggested that circular hsa‑miR‑142‑3p/hsa‑miR‑590‑5p was upregulated and APC (circ)RNAs serve important roles in the development and was downregulated. Thus, hsa‑miR‑142‑3p/hsa‑miR‑590‑5p‑ progression of glioma and may have potential as therapeutic APC‑related circ/ceRNA axes may be important in glioma, targets. However, the expression profiles of circRNAs and their and hsa_circ_0005114 interacted with both of these miRNAs. functions in glioma have rarely been studied. The present study Functional analysis showed that hsa_circ_0005114 was aimed to screen differentially expressed circRNAs (DECs) involved in insulin secretion, while APC was associated with between glioma and normal brain tissues using sequencing the Wnt signaling pathway. In conclusion, hsa_circ_0005114‑ data collected from the Gene Expression Omnibus database miR‑142‑3p/miR‑590‑5p‑APC ceRNA axes may be potential (GSE86202 and GSE92322 datasets) and explain their mecha‑ targets for the treatment of glioma. -
Adaptive Tuning of Mutation Rates Allows Fast Response to Lethal Stress In
Manuscript 1 Adaptive tuning of mutation rates allows fast response to lethal stress in 2 Escherichia coli 3 4 a a a a a,b 5 Toon Swings , Bram Van den Bergh , Sander Wuyts , Eline Oeyen , Karin Voordeckers , Kevin J. a,b a,c a a,* 6 Verstrepen , Maarten Fauvart , Natalie Verstraeten , Jan Michiels 7 8 a 9 Centre of Microbial and Plant Genetics, KU Leuven - University of Leuven, Kasteelpark Arenberg 20, 10 3001 Leuven, Belgium b 11 VIB Laboratory for Genetics and Genomics, Vlaams Instituut voor Biotechnologie (VIB) Bioincubator 12 Leuven, Gaston Geenslaan 1, 3001 Leuven, Belgium c 13 Smart Systems and Emerging Technologies Unit, imec, Kapeldreef 75, 3001 Leuven, Belgium * 14 To whom correspondence should be addressed: Jan Michiels, Department of Microbial and 2 15 Molecular Systems (M S), Centre of Microbial and Plant Genetics, Kasteelpark Arenberg 20, box 16 2460, 3001 Leuven, Belgium, [email protected], Tel: +32 16 32 96 84 1 Manuscript 17 Abstract 18 19 While specific mutations allow organisms to adapt to stressful environments, most changes in an 20 organism's DNA negatively impact fitness. The mutation rate is therefore strictly regulated and often 21 considered a slowly-evolving parameter. In contrast, we demonstrate an unexpected flexibility in 22 cellular mutation rates as a response to changes in selective pressure. We show that hypermutation 23 independently evolves when different Escherichia coli cultures adapt to high ethanol stress. 24 Furthermore, hypermutator states are transitory and repeatedly alternate with decreases in mutation 25 rate. Specifically, population mutation rates rise when cells experience higher stress and decline again 26 once cells are adapted. -
Novel Mutations Consolidate KCTD7 As a Progressive Myoclonus Epilepsy Gene
Europe PMC Funders Group Author Manuscript J Med Genet. Author manuscript; available in PMC 2013 September 16. Published in final edited form as: J Med Genet. 2012 June ; 49(6): 391–399. doi:10.1136/jmedgenet-2012-100859. Europe PMC Funders Author Manuscripts Novel mutations consolidate KCTD7 as a progressive myoclonus epilepsy gene Maria Kousi1,2, Verneri Anttila3,4, Angela Schulz5, Stella Calafato3, Eveliina Jakkula4, Erik Riesch6, Liisa Myllykangas1,7, Hannu Kalimo7, Meral Topcu8, Sarenur Gokben9, Fusun Alehan10, Johannes R Lemke11, Michael Alber12, Aarno Palotie3,4,13,14, Outi Kopra1,2, and Anna-Elina Lehesjoki1,2 1Folkhälsan Institute of Genetics, Finland 2Haartman Institute, Department of Medical Genetics and Research Program’s Unit, Molecular Medicine, and Neuroscience Center, University of Helsinki, Finland 3Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK 4Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland 5Children’s Hospital, University Medical Center Hamburg Eppendorf, Hamburg, Germany 6CeGaT GmbH, Tübingen, Germany 7Department of Pathology, University of Helsinki, and Helsinki University Central Hospital, Helsinki, Finland 8Department of Pediatrics, Hacettepe University Faculty of Medicine, Section of Child Neurology, Ankara, Turkey 9Department of Pediatrics, Ege University Medical Faculty, Izmir, Turkey 10Baskent University Faculty of Medicine Division of Child Neurology, Baskent, Turkey 11University Children’s Hospital, Inselspital, Bern, Switzerland 12Department -
The Landscape of Genomic Imprinting Across Diverse Adult Human Tissues
Downloaded from genome.cshlp.org on September 30, 2021 - Published by Cold Spring Harbor Laboratory Press Research The landscape of genomic imprinting across diverse adult human tissues Yael Baran,1 Meena Subramaniam,2 Anne Biton,2 Taru Tukiainen,3,4 Emily K. Tsang,5,6 Manuel A. Rivas,7 Matti Pirinen,8 Maria Gutierrez-Arcelus,9 Kevin S. Smith,5,10 Kim R. Kukurba,5,10 Rui Zhang,10 Celeste Eng,2 Dara G. Torgerson,2 Cydney Urbanek,11 the GTEx Consortium, Jin Billy Li,10 Jose R. Rodriguez-Santana,12 Esteban G. Burchard,2,13 Max A. Seibold,11,14,15 Daniel G. MacArthur,3,4,16 Stephen B. Montgomery,5,10 Noah A. Zaitlen,2,19 and Tuuli Lappalainen17,18,19 1The Blavatnik School of Computer Science, Tel-Aviv University, Tel Aviv 69978, Israel; 2Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA; 3Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA; 4Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA; 5Department of Pathology, Stanford University, Stanford, California 94305, USA; 6Biomedical Informatics Program, Stanford University, Stanford, California 94305, USA; 7Wellcome Trust Center for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, United Kingdom; 8Institute for Molecular Medicine Finland, University of Helsinki, 00014 Helsinki, Finland; 9Department of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland; -
Dynamic Mutations on the Move
9789 Mled Genet 1993; 30: 978-981 REVIEW ARTICLE J Med Genet: first published as 10.1136/jmg.30.12.978 on 1 December 1993. Downloaded from Dynamic mutations on the move Grant R Sutherland, Robert I Richards It is only a short time since the isolation and quences is rapidly increasing (table). These characterisation of the fragile X syndrome mu- include another fragile site (FRAXE) that may tation'-3 uncovered a new genetic element and be associated with mild mental retardation.'2 mechanism of mutation. The genetic element This fragile site has turned out to be similar in was an unstable DNA sequence resulting from structure to the fragile X (FRAXA), involving amplification of a naturally occurring poly- the same trinucleotide p(CCG)n and being morphic trinucleotide repeat, p(CCG)n. The close to a CpG island which is hypermethy- mechanism of mutation, which we have lated when the copy number exceeds approx- termed dynamic mutation,4 is the change (in- imately 200.* crease or decrease) in copy number of the The dynamic mutations characterised to trinucleotide repeat with the rate of change date fall into two categories probably deter- related to the number of copies present at any mined by whether the trinucleotide repeat is in time. This process, in which an initial change a translated or untranslated region of a gene. to a DNA sequence alters the chance of further The mutations in known or presumed changes to it, contrasts with classical or static untranslated regions, FRAXA, FRAXE, and mutation in which the product of a mutation is DM, appear to have little constraint on the no more likely to undergo further changes than number of repeats, which can range up to was the initial DNA sequence. -
General Contribution
24 Abstracts of 37th Annual Meeting A1 A SCREENING METHOD FOR FRAGILE X MUTATION: DETECTION OF THE CGG REPEAT IN FMR-1 GENE BY PCR WITH BIOTIN-LABELED PRIMER. ..Eiji NANBA, Kousaku OHNO and Kenzo TAKESHITA Division of Child Neurology, Institute of Neurological Sciences, Tot- tori University School of Medicine. Yonago We have developed a new polymerase chain reaction(PCR)-based method for detection of the CGG repeat in FMR-1 gene. No specific product from PCR was detected on the gel with ethidium bromide staining, because 7-deaza-2'-dGTP is necessary for amplification of this repeat. Biotin-labeled primer was used for PCR and the product was transferred to a nylon membrane followed the detection of biotin by Smilight kit. The size of PCR product from normal control were slightly various and around 300bp. No PCR product was detected from 3 fragile X male patients in 2 families diagnosed by cytogenetic examination. This method is useful for genetic screen- ing of male mental retardation patients to exclude the fragile X mutation. A2 DNA ANALYSISFOR FRAGILE X SYNDROME Osamu KOSUDA,Utak00GASA, ~.ideynki INH, a~ji K/NAGIJCltI, and Kazumasa ]tIKIJI (SILL Inc., Tokyo) Fragile X syndrome is X-linked disease having the amplification of (CG6)n repeat sequence in the chromsomeXq27.3. We performed Southern blot analysis using three probes recognized repetitive sequence resion. Normal controle showed 5.2Kb with Eco RI digest and 2.7Kb with Eco RI/Bss ttII digest as the germ tines by the Southern blot analysis. However, three cell lines established fro~ unrelated the patients with fragile X showed the abnormal bands between 5.2 and 7.7Kb with Eco RI digest, and between 2.7 and 7.7Kb with Eco aI/Bss HII digest. -
LAT2 Monoclonal Antibody, Clone NAP-07 (PE)
LAT2 monoclonal antibody, clone NAP-07 (PE) Catalog # : MAB4522 規格 : [ 100 ug ] List All Specification Application Image Product Mouse monoclonal antibody raised against partial recombinant LAT2. Western Blot Description: Immunocytochemistry Immunogen: Recombinant protein corresponding to partial human LAT2. Immunoprecipitation Flow Cytometry Host: Mouse Theoretical MW 25-30 (kDa): Reactivity: Human, Mouse Specificity: This antibody reacts with Non-T cell activation linker (NTAL), also known as LAB (linker of activated B cells), a 25-30 KDa transmembrane adaptor protein present in membrane microdomains (rafts) of B lymphocytes, NK cells and myeloid cells. Form: Liquid Conjugation: PE Concentration: 0.1 mg/mL Isotype: IgG1 Recommend Flow Cytometry (1:30) Usage: The optimal working dilution should be determined by the end user. Storage Buffer: In PBS (0.2% BSA, 0.09% sodium azide) Storage Store in the dark at 4°C. Do not freeze. Instruction: Avoid prolonged exposure to light. Aliquot to avoid repeated freezing and thawing. Note: This product contains sodium azide: a POISONOUS AND HAZARDOUS SUBSTANCE which should be handled by trained staff only. Datasheet: Download Publication Reference 1. Topography of signaling molecules as detected by electron microscopy on plasma membrane sheets isolated from non-adherent mast cells. Lebduska P, Korb J, Tumova M, Heneberg P, Draber P.J Immunol Methods. 2007 Dec 1;328(1-2):139-51. Epub 2007 Sep 18. 2. Negative regulation of mast cell signaling and function by the adaptor LAB/NTAL. Volna P, Lebduska P, Draberova L, Simova S, Heneberg P, Boubelik M, Bugajev V, Malissen B, Wilson BS, Horejsi V, Malissen M, Draber P.J Exp Med. -
The KCTD Family of Proteins: Structure, Function, Disease Relevance Zhepeng Liu1†, Yaqian Xiang2† and Guihong Sun1*
Liu et al. Cell & Bioscience 2013, 3:45 http://www.cellandbioscience.com/content/3/1/45 Cell & Bioscience REVIEW Open Access The KCTD family of proteins: structure, function, disease relevance Zhepeng Liu1†, Yaqian Xiang2† and Guihong Sun1* Abstract The family of potassium channel tetramerizationdomain (KCTD) proteins consists of 26 members with mostly unknown functions. The name of the protein family is due to the sequence similarity between the conserved N-terminal region of KCTD proteins and the tetramerization domain in some voltage-gated potassium channels. Dozens of publications suggest that KCTD proteins have roles in various biological processes and diseases. In this review, we summarize the character of Bric-a-brack,Tram-track, Broad complex(BTB) of KCTD proteins, their roles in the ubiquitination pathway, and the roles of KCTD mutants in diseases. Furthermore, we review potential downstream signaling pathways and discuss future studies that should be performed. Keywords: KCTD, BTB domain, Adaptor Introduction BTB domain and homology between KCTD family members The human potassium (K+) channel tetramerization The human genome includes approximately 400 BTB domain (KCTD)family of proteins consists of 26 mem- domain-containing proteins. The BTB domain is a highly bers that share sequence similarity with the cytoplasmic conserved motif of about 100 amino acids and can be + domain of voltage-gated K channels(Kv channels) [1-3]. found at the N-terminusof C2H2-type zinc-finger tran- The KCTD proteins have relatively conserved N-terminal scription factors and in some actin-binding proteins [11]. domains and variable C-termini. Comparative analyses of BTB domain-containing proteins include transcription the conserved N-terminal sequence suggest the presence factors, oncogenic proteins, ion channel proteins, and of a common Bric-a-brack,Tram-track, Broad complex KCTD proteins [2,12-14]. -
Test ID: NGMEM
NEW TEST NOTIFICATION DATE: April 25, 2017 EFFECTIVE DATE: May 15, 2017 RED BLOOD CELL MEMBRANE SEQUENCING, VARIES Test ID: NGMEM USEFUL FOR: Providing a comprehensive genetic evaluation for patients with a personal or family history suggestive of an RBC membrane disorder Second-tier testing for patients in whom previous targeted gene mutation analyses were negative for a specific RBC membrane disorder Establishing a diagnosis of a hereditary RBC membrane disorder, allowing for appropriate management and surveillance of disease features based on the gene involved Identifying mutations within genes associated with phenotypic severity, allowing for predictive testing and further genetic counseling METHOD: Hereditary Mutation Detection by Next-Generation Sequencing (NGS) REFERENCE VALUES: An interpretive report will be provided. This next-generation sequencing assay is performed to test for the presence of a mutation in targeted regions of the following 15 genes and intronic regions: ANK1, EPB41, EPB42, GYPC, HBB, HBD, PIEZO1, RHAG, SLC2A1, SLC4A1, SPTA1, SPTB, STOM, UGT1A1, and XK. SPECIMEN REQUIREMENTS: Submit only 1 of the following specimens: Specimen Type: Peripheral blood (preferred) Container/Tube: Preferred: Lavender top (EDTA) or yellow top (ACD) Acceptable: Green top (heparin) Specimen Volume: 3 mL Specimen Stability: Ambient < or =14 days Collection Instructions: 1. Invert several times to mix blood. 2. Send specimen in original tube. 3. Label specimen as blood. Specimen Type: Extracted DNA Container/Tube: 1.5- to 2-mL tube with indication of volume and concentration of the DNA. Specimen Volume: Entire specimen Specimen Stability: Frozen/Refrigerated/Ambient < or =30 days Collection Instructions: Label specimen as extracted DNA and source of specimen. -
Structure-Function Study of Heterodimeric Amino Acid Transporter, LAT1-Cd98hc
Structure-function study of heterodimeric amino acid transporter, LAT1-CD98hc GEORGE NYASHA CHIDUZA Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy February 2019 Institute of Integrative Biology University of Liverpool United Kingdom Acknowledgements Firstly, I am grateful to my supervisory team Professor S. Samar Hasnain, Dr Svetlana Antonyuk and Dr Gareth S. A. Wright, in many ways they have gone above and beyond their responsibilities toward me as required by the university, in order to help me to this position. Professor Hasnain believes in my potential and has provided me the environment, mentorship and professional network to realise it as far as I have over the course of my PhD. Dr Antonyuk has given me essential support and guidance on theoretical as well as practical aspects throughout my research. Dr Wright has also mentored and taught me much about how to think about scientific questions, and being, not just a good but efficient experimentalist. He has been a good friend to me, supporting me in important aspects of life, without which I could not be where I am today. I am grateful to Dr David Dickens who I worked with in the first two years of my PhD. He taught me the importance of keeping abreast with the scientific literature, and how to leverage that knowledge to drive my own research. He demonstrated to me a level of diligence I aspire to. I would like to acknowledge the support Professor Sir Munir Pirmohamed in the early part of my PhD, where I worked under his supervision in the Wolfson Centre for Personalised Medicine, here in Liverpool.