Single-Molecule DNA-Mapping and Whole-Genome Sequencing of Individual Cells
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Single Nucleotide Polymorphism (SNP)
Aquaculture Genome Technologies Zhanjiang (John) Liu Copyright © 2007 by Blackwell Publishing Chapter 6 Single Nucleotide Polymorphism (SNP) Zhanjiang Liu Single nucleotide polymorphism (SNP) describes polymorphisms caused by point mutations that give rise to different alleles containing alternative bases at a given nucleotide position within a locus. Such sequence differences due to base substitu- tions have been well characterized since the beginning of DNA sequencing in 1977, but the ability to genotype SNPs rapidly in large numbers of samples was not possible until several major technological advances in the late 1990s. With the development of the TaqMan technology, gene chip technology, pyrosequencing, and MALDI-TOF, which is matrix-assisted laser desorption ionization-time of flight mass spectrometry (Haff et al. 1997, Tost et al. 2005), SNPs are again becoming a focal point in molecular marker development because they are the most abundant polymorphism in any organ- ism (as shown in Table 6.1), adaptable to automation, and reveal hidden polymor- phism not detected with other markers and methods. SNP markers are regarded by many as the projected markers of choice for the future. In this chapter, I will summa- rize methods for SNP discovery, review the traditional approaches for SNP genotyp- ing and their principles, present several major platforms for SNP genotyping using recently developed technologies, and discuss the pros and cons of SNP markers for aquaculture genome research. What Are SNP Markers and Why Are They the Future Markers of Choice? SNP can be defined as base variation at any site of the genome among individuals, or an alternative base at a given DNA site (Figure 6.1). -
Genetic, Epidemiological and Biological Analysis of Interleukin-10
Genes and Immunity (2009) 10, 174–180 & 2009 Macmillan Publishers Limited All rights reserved 1466-4879/09 $32.00 www.nature.com/gene ORIGINAL ARTICLE Genetic, epidemiological and biological analysis of interleukin-10 promoter single-nucleotide polymorphisms suggests a definitive role for À819C/T in leprosy susceptibility AC Pereira1,5, VN Brito-de-Souza1,5, CC Cardoso2, IMF Dias-Baptista1, FPC Parelli1,3, J Venturini1,3, FR Villani-Moreno1, AG Pacheco4 and MO Moraes2 1Instituto Lauro de Souza Lima, Bauru, Sa˜o Paulo, Brazil; 2Laborato´rio de Hansenı´ase, Departamento de Micobacterioses, Instituto Oswaldo Cruz, Rio de Janeiro, Brazil; 3Tropical Diseases Area, Botucatu Medical School, Sao Paulo State University, UNESP, Botucatu, Sa˜o Paulo, Brazil and 4Departamento de Epidemiologia e Me´todos Quantitativos em Sau´de (DEMQS), Escola Nacional de Sau´de Pu´blica (ENSP)/PROCC, FIOCRUZ, Rio de Janeiro, Brazil Leprosy is a complex infectious disease influenced by genetic and environmental factors. The genetic contributing factors are considered heterogeneous and several genes have been consistently associated with susceptibility like PARK2, tumor necrosis factor (TNF), lymphotoxin-a (LTA) and vitamin-D receptor (VDR). Here, we combined a case–control study (374 patients and 380 controls), with meta-analysis (5 studies; 2702 individuals) and biological study to test the epidemiological and physiological relevance of the interleukin-10 (IL-10) genetic markers in leprosy. We observed that the À819T allele is associated with leprosy susceptibility either in the case–control or in the meta-analysis studies. Haplotypes combining promoter single-nucleotide polymorphisms also implicated a haplotype carrying the À819T allele in leprosy susceptibility (odds ratio (OR) ¼ 1.40; P ¼ 0.01). -
The Economic Impact and Functional Applications of Human Genetics and Genomics
The Economic Impact and Functional Applications of Human Genetics and Genomics Commissioned by the American Society of Human Genetics Produced by TEConomy Partners, LLC. Report Authors: Simon Tripp and Martin Grueber May 2021 TEConomy Partners, LLC (TEConomy) endeavors at all times to produce work of the highest quality, consistent with our contract commitments. However, because of the research and/or experimental nature of this work, the client undertakes the sole responsibility for the consequence of any use or misuse of, or inability to use, any information or result obtained from TEConomy, and TEConomy, its partners, or employees have no legal liability for the accuracy, adequacy, or efficacy thereof. Acknowledgements ASHG and the project authors wish to thank the following organizations for their generous support of this study. Invitae Corporation, San Francisco, CA Regeneron Pharmaceuticals, Inc., Tarrytown, NY The project authors express their sincere appreciation to the following indi- viduals who provided their advice and input to this project. ASHG Government and Public Advocacy Committee Lynn B. Jorde, PhD ASHG Government and Public Advocacy Committee (GPAC) Chair, President (2011) Professor and Chair of Human Genetics George and Dolores Eccles Institute of Human Genetics University of Utah School of Medicine Katrina Goddard, PhD ASHG GPAC Incoming Chair, Board of Directors (2018-2020) Distinguished Investigator, Associate Director, Science Programs Kaiser Permanente Northwest Melinda Aldrich, PhD, MPH Associate Professor, Department of Medicine, Division of Genetic Medicine Vanderbilt University Medical Center Wendy Chung, MD, PhD Professor of Pediatrics in Medicine and Director, Clinical Cancer Genetics Columbia University Mira Irons, MD Chief Health and Science Officer American Medical Association Peng Jin, PhD Professor and Chair, Department of Human Genetics Emory University Allison McCague, PhD Science Policy Analyst, Policy and Program Analysis Branch National Human Genome Research Institute Rebecca Meyer-Schuman, MS Human Genetics Ph.D. -
Application of NGS Technology in Understanding the Pathology of Autoimmune Diseases
Journal of Clinical Medicine Review Application of NGS Technology in Understanding the Pathology of Autoimmune Diseases Anna Wajda 1 , Larysa Sivitskaya 2,* and Agnieszka Paradowska-Gorycka 1 1 Department of Molecular Biology, National Institute of Geriatrics, Rheumatology and Rehabilitation, 02-637 Warsaw, Poland; [email protected] (A.W.); [email protected] (A.P.-G.) 2 Institute of Genetics and Cytology, National Academy of Sciences of Belarus, 220072 Minsk, Belarus * Correspondence: [email protected] Abstract: NGS technologies have transformed clinical diagnostics and broadly used from neonatal emergencies to adult conditions where the diagnosis cannot be made based on clinical symptoms. Autoimmune diseases reveal complicate molecular background and traditional methods could not fully capture them. Certainly, NGS technologies meet the needs of modern exploratory research, diagnostic and pharmacotherapy. Therefore, the main purpose of this review was to briefly present the application of NGS technology used in recent years in the understanding of autoimmune diseases paying particular attention to autoimmune connective tissue diseases. The main issues are presented in four parts: (a) panels, whole-genome and -exome sequencing (WGS and WES) in diagnostic, (b) Human leukocyte antigens (HLA) as a diagnostic tool, (c) RNAseq, (d) microRNA and (f) microbiome. Although all these areas of research are extensive, it seems that epigenetic impact on the development of systemic autoimmune diseases will set trends for future studies on this area. Citation: Wajda, A.; Sivitskaya, L.; Keywords: next-generation sequencing; autoimmune diseases; autoimmune connective tissue dis- Paradowska-Gorycka, A. Application eases; HLA; microRNA; microbiome of NGS Technology in Understanding the Pathology of Autoimmune Diseases. J. Clin. -
IMGT-Choreography for Immunogenetics and Immunoinformatics
In Silico Biology 5 (2005) 45–60 45 IOS Press IMGT-Choreography for Immunogenetics and Immunoinformatics Marie-Paule Lefranc∗, Oliver Clement,´ Quentin Kaas, Elodie Duprat, Patrick Chastellan, Isabelle Coelho, Kora Combres, Chantal Ginestoux, Veronique´ Giudicelli, Denys Chaume and Gerard´ Lefranc IMGT, the international ImMunoGeneTics information system , Universite´ Montpellier II, Laboratoire d’ImmunoGen´ etique´ Moleculaire´ LIGM, UPR CNRS 1142, Institut de Gen´ etique´ Humaine IGH, 141 rue de la Cardonille, 34396 Montpellier Cedex 5, France Tel.: +33 4 99 61 99 65; Fax: +33 4 99 61 99 01 Edited by H. Michael; received 11 September 2004; revised and accepted 14 December 2004; published 24 December 2004 ABSTRACT: IMGT, the international ImMunoGeneTics information system (http://imgt.cines.fr), was created in 1989 at Montpellier, France. IMGT is a high quality integrated knowledge resource specialized in immunoglobulins (IG), T cell receptors (TR), major histocompatibility complex (MHC) of human and other vertebrates, and related proteins of the immune system (RPI) which belong to the immunoglobulin superfamily (IgSF) and MHC superfamily (MhcSF). IMGT provides a common access to standardized data from genome, proteome, genetics and three-dimensional structures. The accuracy and the consistency of IMGT data are based on IMGT-ONTOLOGY, a semantic specification of terms to be used in immunogenetics and immunoinformatics. IMGT-ONTOLOGY has been formalized using XML Schema (IMGT-ML) for interoperability with other information systems. We are developing Web services to automatically query IMGT databases and tools. This is the first step towards IMGT-Choreography which will trigger and coordinate dynamic interactions between IMGT Web services to process complex significant biological and clinical requests. -
Verification Activities: Sonia Salas
Verification Activities: New and Emerging Technologies Sonia Salas Verification Activities: New and Emerging Technologies • Verification: Methods, procedures, tests and other evaluations, in addition to monitoring, to determine whether a control measure or combination of control measures is or has been operating as intended and to establish the validity of the food safety plan (Source: FDA Industry Guidance: Control of Listeria monocytogenes in RTE Foods) • Verification activities include: validation, verification that monitoring is being conducted as required, verification of implementation and effectiveness, verification that appropriate decisions about corrective actions are being made and reanalysis (Source: PC Rule §117.155) Verification Activities: New and Emerging Technologies What new and emerging technologies can assist the produce sector in determining whether Listeria preventive controls are or have been operating as intended in a food safety plan? Verification Activities: New and Emerging Technologies Listeria controls (Source: FDA Industry Guidance: Control of Listeria monocytogenes in RTE Foods) • Controls on personnel • Design, construction and operation of a plant • Design, construction and maintenance of equipment • Sanitation • Storage practices and time/temperature controls • Transportation • Training • Controls on raw materials and ingredients • Process control based on formulating a RTE food • Listericial process control Verification Activities: New and Emerging Technologies – Whole Genome Sequencing (WGS) – Nanotechnology -
Clinical Whole Genome Sequencing
PRODUCT DATASHEET CLIA Certified and College of American Clinical Whole Pathologists (CAP) accredited Genome Built around our tried and tested PCR-Free Sequencing whole genome sequencing process OVERVIEW WHAT’S INCLUDED Clinical Human Whole Genome Sequencing provides validated, high quality sequence data generated through the same pro- • Sample receipt and nucleic acid extraction from blood cesses that have produced >100,000 research genomes - in- • QC & plating, sample preparation cluding genomes that have been included in large resource • Sample fidelity QC (96 SNP fingerprinting) datasets such as TOPMed and GnoMAD. Our in-house devel- oped, PCR-Free library construction process produces ex- • 2x150bp paired sequencing reads tremely even coverage of the entire genome, including exonic, • Coverage of ≥95% of bases ≥20x intronic, GC-rich, and regulatory regions. • Data delivery through a secure online portal Whole genome sequencing offers several advantages over tra- • Turnaround time ≤28 days from sample receipt ditional approaches of genomic characterization. Targeted pan- el and exome approaches require amplification of genomic DNA PERFORMANCE METRICS which induces sequence-context specific bias. Analyses of panels and exomes is limited to targeted regions and content % Bases at 20X Target: ≥95% must be updated if new regions are identified for study. Sever- Mean Coverage Target for Genome: ≥30X WGS Coverage al classes of human variation including copy number profiling and structural variation calling are more easily and accurately % Contamination: ≤2.5% (typically less than 0.2%) determined from whole genome sequencing. PF HQ Aligned Bases: ≥8x1010 bases Technical performance specifications for our clinical whole genome were determined through pre-validation analysis of Estimated Library Size: ≥7x109 molecules >20,000 research genomes as well as through input received SNV Sensitivity: 98.8% from our medical and population genetics community. -
Exome Sequencing in Gastrointestinal Food Allergies Induced by Multiple Food Proteins
Exome Sequencing in Gastrointestinal Food Allergies Induced by Multiple Food Proteins Alba Sanchis Juan Department of Biotechnology Universitat Politècnica de València Supervisors: Dr. Javier Chaves Martínez Dr. Ana Bárbara García García Dr. Pablo Marín García This dissertation is submitted for the degree of Doctor of Philosophy September 2019 If you know you are on the right track, if you have this inner knowledge, then nobody can turn you off... no matter what they say. Barbara McClintock Declaration FELIPE JAVIER CHAVES MARTÍNEZ, PhD in Biological Sciences, ANA BÁRBARA GARCÍA GARCÍA, PhD in Pharmacy, and PABLO MARÍN GARCÍA, PhD in Biological Sciences, CERTIFY: That the work “Exome Sequencing in Gastrointestinal Food Allergies Induced by Multiple Food Proteins” has been developed by Alba Sanchis Juan under their supervision in the INCLIVA Biomedical Research Institute, as a Thesis Project in order to obtain the degree of PhD in Biotechnology at the Universitat Politècnica de València. Dr. F. Javier Chaves Martínez Dr. Ana Bárbara García García Dr. Pablo Marín García Acknowledgements Reaching the end of this journey, after so many ups and downs, I cannot but express my gratitude to all those who supported me and helped me through this challenging but rewarding experience. First and foremost, I would like to thank my supervisors, Dr. Javier Chaves Martinez, Dr. Ana Barbara García García and Dr. Pablo Marín García. They gave me the opportunity to work with them when I was still an undergraduate student, and provided me the opportunity to contribute to several exciting projects since then. They also encouraged me into the clinical genomics field and provided me guidance and advice throughout the last four years. -
Multiple Sclerosis: Shall We Target CD33?
G C A T T A C G G C A T genes Article Multiple Sclerosis: Shall We Target CD33? Vasileios Siokas 1, Zisis Tsouris 1, Athina-Maria Aloizou 1 , Christos Bakirtzis 2, Ioannis Liampas 1 , Georgios Koutsis 3 , Maria Anagnostouli 4 , Dimitrios P. Bogdanos 5, Nikolaos Grigoriadis 2, Georgios M. Hadjigeorgiou 1,6 and Efthimios Dardiotis 1,* 1 Laboratory of Neurogenetics, Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; [email protected] (V.S.); [email protected] (Z.T.); [email protected] (A.-M.A.); [email protected] (I.L.); [email protected] (G.M.H.) 2 Multiple Sclerosis Center, B’ Department of Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki, GR54636 Thessaloniki, Greece; [email protected] (C.B.); [email protected] (N.G.) 3 Neurogenetics Unit, 1st Department of Neurology, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, Vassilissis Sofias 72-74 Ave, 11528 Athens, Greece; [email protected] 4 Multiple Sclerosis and Demyelinating Diseases Unit and Immunogenetics Laboratory, 1st Department of Neurology, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 115 28 Athens, Greece; [email protected] 5 Department of Rheumatology and Clinical Immunology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; [email protected] 6 Department of Neurology, Medical School, University of Cyprus, 1678 Nicosia, Cyprus * Correspondence: [email protected]; Tel.: +30-241-350-1137 Received: 23 September 2020; Accepted: 5 November 2020; Published: 12 November 2020 Abstract: Background: Multiple sclerosis (MS) is a chronic disease of the central nervous system (CNS). -
The Revolutionizing Prospects of Next Generation DNA Sequencing Of
Schlundt J and Tay MYF, J Food Sci Nutr 2020, 6: 072 DOI: 10.24966/FSN-1076/100072 HSOA Journal of Food Science and Nutrition Review Article this has been a major problem in the past, novel DNA sequenc- The Revolutionizing Prospects ing methodologies are now providing promising new potential. The case is made for the potential to develop a global, equitable sys- of Next Generation DNA tem of whole microbial genome databases to aggregate, share, mine and use microbiological genomic data, to address global food Sequencing of Microorganisms safety and public health challenges and most importantly to reduce for Microbiological and foodborne and infectious disease burden. Keywords: Antimicrobial resistance; Food safety; Genomic data AMR Identification and sharing; Global microbial identifier; Microbiology; Next generation Characterization-the GMI sequencing; One health; Surveillance; Zoonotic diseases Singapore Sequencing Statement Abbreviations AGP: Antimicrobial Growth Promoters; Joergen Schlundt1,2* and Moon Yue Feng Tay1,2 AMR: Antimicrobial Resistance; 1School of Chemical and Biomedical Engineering, Nanyang Technological BSE: Bovine Spongiform Encephalopathy; University (NTU), 62 Nanyang Drive, Singapore EHEC: Enterohaemorrhagic Escherichia Coli; EFSA: European Food Safety Authority; 2Nanyang Technological University Food Technology Centre (NAFTEC), Nanyang Technological University (NTU), Singapore FAO: Food and Agriculture Organization of the United Nations; GFN: Global Foodborne Infections Network; GMI: Global Microbial Identifier; INFOSAN: International Food Safety Authorities Network; Abstract MERS: Middle East Respiratory Syndrome; A cascade of technological DNA sequencing advancements has MDR: Multidrug Resistant; decreased the cost of Whole Genome Sequencing (WGS) very fast. NGS: Next Generation Sequencing; At the same time, the enormous potential of WGS in the surveil- SARS: Severe Acute Respiratory Syndrome; lance of microorganisms and Antimicrobial Resistance (AMR) is in- WGS: Whole Genome Sequencing; creasingly realized. -
Overview of Whole Genome Sequencing
Whole genome sequencing The impact of new DNA sequencing technologies for health In the light of rapid developments in DNA sequencing technologies, we find ourselves on the brink of a new era of genomic medicine in which whole genome sequencing (WGS) becomes an affordable clinical reality. There is no longer any question that within the next few years it will be possible to sequence a full human genome at a speed and cost that will open up unprecedented new opportunities for health care. Pressure is now mounting to ensure that this potential is promptly, effectively and responsibly harnessed for a real impact on health. To meet this challenge, important questions must be considered: • What is the role of WGS technologies in medicine and public health? • How will they affect routine clinical practice and the wider public, and what ethical and legal issues do they raise? • What operational barriers exist to adoption within health services, and how should they be tackled? The PHG Foundation has launched a major new programme to evaluate and address the implications of WGS for health and society. As an independent genetics think-tank and acknowledged founder of the field of public health genomics, we have been at the forefront of efforts to catalyse the timely and responsible application of useful biomedical innovation into health practice for over a decade. Our aim is to identify the best health applications of WGS technologies and recommend strategies that will be pivotal in directing their adoption into health services to improve patient care. We believe that the best approach is to work together with forward-thinking sector leaders to make this happen, and are seeking partners and supporters for this programme. -
Lecture 10 : Whole Genome Sequencing and Analysis Introduction to Computational Biology Teresa Przytycka, Phd
Lecture 10 : Whole genome sequencing and analysis Introduction to Computational Biology Teresa Przytycka, PhD Sequencing DNA • Goal – obtain the string of bases that make a given DNA strand. • Problem –Typically one cans sequence directly only DNA of short length (400-700 bp – Sanger; <200 - Illumina). • Sequence assembly – the process of putting together the fragments. Cutting and breaking DNA • Restriction enzymes – proteins that catalyze hydrolysis (breaking the molecule by adding water) of DNA at certain points called restriction sides. • Example: EcoRI restriction side GAATTC. Note that the complement of GAATTC is GAATTC (a sequence equal to its reverse is called a palindrome) ATCCAG AATTCTC… …ATCCAGAATTCTC… …TAGGTCTTAAGAG …TAGGTCTTAA AG Fragment assembly • After DNA fragments (reads) are sequenced we want to assemble then together to reconstruct the entire target sequence. • If the overlaps were unique and error free, this would be relatively easy task… but they are not. • In addition : fragments can come from any of the two DNA strands and we do not know which The “ideal” example Input: ACCGT CGTGC TTAC TACCGT Assume target sequence of about 10bp. - - ACCGT Sample overlaps - - - - CGTGC TTAC - - - - - - TACCGT - - TTACCGTGC consensus sequence Fragment assembly • After DNA fragments (reads) are sequenced we want to assemble then together to reconstruct the entire target sequence. • Most fragment assembly algorithms include the following 3 steps: – Overlap - finding potentially overlapping fragments – Layout – finding the order of the fragments – Consensus – deriving DNA sequence from the layout. • Usually we know with some approximation the length of the target sequence. Finding overlaps • In theory we should test for overlaps all pairs of fragments. For every pair we will consider all relative orientations.