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WARS Recombinant Protein Description Product Info
9853 Pacific Heights Blvd. Suite D. San Diego, CA 92121, USA Tel: 858-263-4982 Email: [email protected] 32-2929: WARS Recombinant Protein Alternative GAMMA-2,IFI53,IFP53,WRS,WARS,TrpRS,hWRS,EC=6.1.1.2,Tryptophanyl-tRNA synthetase,Interferon- Name : induced protein 53,Tryptophan--tRNA ligase,GAMMA-2. Description Source : Escherichia Coli. WARS Recombinant Human produced in E.Coli is a single, non-glycosylated polypeptide chain containing 491 amino acids (1-471 a.a.) and having a molecular mass of 55.3 kDa. The WARS is fused to a 20 amino acid His- Tag at N-terminus and purified by proprietary chromatographic techniques. WARS is part of the class I tRNA synthetase family. 2 types of tryptophanyl tRNA synthetase exist, a cytoplasmic form, called WARS, and a mitochondrial form, called WARS2. WARS catalyzes the aminoacylation of tRNA(trp) with tryptophan and is induced by interferon. WARS controls ERK, Akt, and eNOS activation pathways that are related with angiogenesis, cytoskeletal reorganization and shear stress-responsive gene expression. Product Info Amount : 25 µg Purification : Greater than 90.0% as determined by SDS-PAGE. 1mg/ml solution containing 20mM Tris-HCl pH-8, 1mM DTT, 0.1M NaCl, 1mM DTT & 10% Content : glycerol. Store at 4°C if entire vial will be used within 2-4 weeks. Store, frozen at -20°C for longer periods of Storage condition : time. For long term storage it is recommended to add a carrier protein (0.1% HSA or BSA).Avoid multiple freeze-thaw cycles. Amino Acid : MGSSHHHHHH SSGLVPRGSH MPNSEPASLL ELFNSIATQG ELVRSLKAGN ASKDEIDSAV KMLVSLKMSY KAAAGEDYKA DCPPGNPAPT SNHGPDATEA EEDFVDPWTV QTSSAKGIDY DKLIVRFGSS KIDKELINRI ERATGQRPHH FLRRGIFFSH RDMNQVLDAY ENKKPFYLYT GRGPSSEAMH VGHLIPFIFT KWLQDVFNVP LVIQMTDDEK YLWKDLTLDQ AYSYAVENAK DIIACGFDIN KTFIFSDLDY MGMSSGFYKN VVKIQKHVTF NQVKGIFGFT DSDCIGKISF PAIQAAPSFS NSFPQIFRDR TDIQCLIPCA IDQDPYFRMT RDVAPRIGYP KPALLHSTFF PALQGAQTKM SASDPNSSIF LTDTAKQIKT KVNKHAFSGG RDTIEEHRQF GGNCDVDVSF MYLTFFLEDD DKLEQIRKDY TSGAMLTGEL KKALIEVLQP LIAEHQARRK EVTDEIVKEF MTPRKLSFDF Q. -
DNA Sequencing and Sorting: Identifying Genetic Variations
BioMath DNA Sequencing and Sorting: Identifying Genetic Variations Student Edition Funded by the National Science Foundation, Proposal No. ESI-06-28091 This material was prepared with the support of the National Science Foundation. However, any opinions, findings, conclusions, and/or recommendations herein are those of the authors and do not necessarily reflect the views of the NSF. At the time of publishing, all included URLs were checked and active. We make every effort to make sure all links stay active, but we cannot make any guaranties that they will remain so. If you find a URL that is inactive, please inform us at [email protected]. DIMACS Published by COMAP, Inc. in conjunction with DIMACS, Rutgers University. ©2015 COMAP, Inc. Printed in the U.S.A. COMAP, Inc. 175 Middlesex Turnpike, Suite 3B Bedford, MA 01730 www.comap.com ISBN: 1 933223 71 5 Front Cover Photograph: EPA GULF BREEZE LABORATORY, PATHO-BIOLOGY LAB. LINDA SHARP ASSISTANT This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties. DNA Sequencing and Sorting: Identifying Genetic Variations Overview Each of the cells in your body contains a copy of your genetic inheritance, your DNA which has been passed down to you, one half from your biological mother and one half from your biological father. This DNA determines physical features, like eye color and hair color, and can determine susceptibility to medical conditions like hypertension, heart disease, diabetes, and cancer. -
The Structure, Stability and Pheromone Binding of the Male Mouse Protein Sex Pheromone Darcin
The Structure, Stability and Pheromone Binding of the Male Mouse Protein Sex Pheromone Darcin Marie M. Phelan1, Lynn McLean2, Stuart D. Armstrong2, Jane L. Hurst3, Robert J. Beynon2, Lu-Yun Lian1* 1 NMR Centre for Structural Biology, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom, 2 Protein Function Group, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom, 3 Mammalian Behaviour & Evolution Group, Institute of Integrative Biology, University of Liverpool, Leahurst Campus, Neston, United Kingdom Abstract Mouse urine contains highly polymorphic major urinary proteins that have multiple functions in scent communication through their abilities to bind, transport and release hydrophobic volatile pheromones. The mouse genome encodes for about 20 of these proteins and are classified, based on amino acid sequence similarity and tissue expression patterns, as either central or peripheral major urinary proteins. Darcin is a male specific peripheral major urinary protein and is distinctive in its role in inherent female attraction. A comparison of the structure and biophysical properties of darcin with MUP11, which belongs to the central class, highlights similarity in the overall structure between the two proteins. The thermodynamic stability, however, differs between the two proteins, with darcin being much more stable. Furthermore, the affinity of a small pheromone mimetic is higher for darcin, although darcin is more discriminatory, being unable to bind bulkier ligands. These attributes are due to the hydrophobic ligand binding cavity of darcin being smaller, caused by the presence of larger amino acid side chains. Thus, the physical and chemical characteristics of the binding cavity, together with its extreme stability, are consistent with darcin being able to exert its function after release into the environment. -
[One Step]WARS Antibody Kit
Leader in Biomolecular Solutions for Life Science [One Step]WARS Antibody Kit Catalog No.: RK05722 Basic Information Background Catalog No. Aminoacyl-tRNA synthetases catalyze the aminoacylation of tRNA by their cognate RK05722 amino acid. Because of their central role in linking amino acids with nucleotide triplets contained in tRNAs, aminoacyl-tRNA synthetases are thought to be among the first Applications proteins that appeared in evolution. Two forms of tryptophanyl-tRNA synthetase exist, a WB cytoplasmic form, named WARS, and a mitochondrial form, named WARS2. Tryptophanyl-tRNA synthetase (WARS) catalyzes the aminoacylation of tRNA(trp) with Cross-Reactivity tryptophan and is induced by interferon. Tryptophanyl-tRNA synthetase belongs to the Human, Mouse, Rat class I tRNA synthetase family. Four transcript variants encoding two different isoforms have been found for this gene. Observed MW 53-55kDa Calculated MW 48kDa/53kDa Category Antibody kit Product Information Component & Recommended Dilutions Source Catalog No. Product Name Dilutions Rabbit RK05722-1 WARS Rabbit pAb 1:1000 dilution Purification RK05722-2 HRP Goat Anti-Rabbit IgG (H+L) 1:10000 dilution Affinity purification Storage Store at -20℃. Avoid freeze / thaw Immunogen Information cycles. Buffer: PBS with 0.02% sodium azide, Gene ID Swiss Prot 50% glycerol, pH7.3. 7453 P23381 Avoid repeated freeze-thaw cycles. Immunogen Recombinant fusion protein containing a sequence corresponding to amino acids 1-270 Contact of human WARS (NP_776049.1). www.abclonal.com Synonyms WARS;GAMMA-2;IFI53;IFP53 Validation Data Western blot analysis of extracts of various cells, using WARS antibody (A5758) at 1:1000 dilution ratio through one-step method. Antibody | Protein | ELISA Kits | Enzyme | NGS | Service For research use only. -
Tryptophanyl Trna Synthetase (WARS) (NM 004184) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC203587L4 Tryptophanyl tRNA synthetase (WARS) (NM_004184) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: Tryptophanyl tRNA synthetase (WARS) (NM_004184) Human Tagged ORF Clone Tag: mGFP Symbol: WARS1 Synonyms: GAMMA-2; HMN9; IFI53; IFP53; WARS Vector: pLenti-C-mGFP-P2A-Puro (PS100093) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC203587). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_004184 ORF Size: 1413 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 Tryptophanyl tRNA synthetase (WARS) (NM_004184) Human Tagged ORF Clone – RC203587L4 OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_004184.3 RefSeq Size: 2884 bp RefSeq ORF: 1416 bp Locus ID: 7453 UniProt ID: P23381, A0A024R6K8 Domains: WHEP-TRS, tRNA-synt_1b Protein Families: Druggable Genome Protein Pathways: Aminoacyl-tRNA biosynthesis, Tryptophan metabolism MW: 53.2 kDa Gene Summary: Aminoacyl-tRNA synthetases catalyze the aminoacylation of tRNA by their cognate amino acid. -
Genetically Engineered Plants: a Potential Solution to Climate Change
Genetically Engineered Plants: A Potential Solution to Climate Change Dr Charles DeLisi GENETICALLY ENGINEERED PLANTS: A POTENTIAL SOLUTION TO CLIMATE CHANGE Climate change is already having devastating effects felt across the globe. Without adequate measures to counteract the human drivers behind climate change, these negative consequences are guaranteed to increase in severity in the coming decades. Esteemed biomedical scientist, Dr Charles DeLisi of Boston University, urges that a multi-disciplinary approach to mitigating climate change is vital. Using predictive modelling, he has demonstrated the potential power of genetically engineering plants to remove excess carbon dioxide from the atmosphere, thereby mitigating climate change. ‘During the post-industrial period, the planetary temperature has increased rapidly,’ explains Dr Charles DeLisi of Boston University. ‘Ice sheet melting has accelerated, ocean levels have risen with concomitant increases in coastal flooding, and extreme weather events have increased in frequency.’ Emissions Reductions: Not the Whole Solution Thus far, measures to tackle climate change have focused on reducing our emissions of carbon dioxide and other greenhouse gases. Over the last three The Climate Emergency These changes are driven by increasing decades, over 100 nations across the levels of atmospheric ‘greenhouse globe have signed multiple agreements Climate change is, arguably, the most gases’, such as carbon dioxide. Released to voluntarily limit their emissions, significant global threat that society as a by-product of fossil fuel combustion but these measures alone are proving faces. Even small perturbations and other human activities, the level ineffective at slowing climatic in the planet’s climatic system of carbon dioxide in the atmosphere disruption. -
Precise Genetic Mapping and Integrative Bioinformatics in Diversity Outbred Mice Reveals Hydin As a Novel Pain Gene
Mamm Genome (2014) 25:211–222 DOI 10.1007/s00335-014-9508-0 Precise genetic mapping and integrative bioinformatics in Diversity Outbred mice reveals Hydin as a novel pain gene Jill M. Recla • Raymond F. Robledo • Daniel M. Gatti • Carol J. Bult • Gary A. Churchill • Elissa J. Chesler Received: 14 January 2014 / Accepted: 5 March 2014 / Published online: 5 April 2014 Ó The Author(s) 2014. This article is published with open access at Springerlink.com Abstract Mouse genetics is a powerful approach for interaction. Our results reveal a novel, putative role for the discovering genes and other genome features influencing protein-coding gene, Hydin, in thermal pain response, human pain sensitivity. Genetic mapping studies have possibly through the gene’s role in ciliary motility in the historically been limited by low mapping resolution of choroid plexus–cerebrospinal fluid system of the brain. conventional mouse crosses, resulting in pain-related Real-time quantitative-PCR analysis showed no expression quantitative trait loci (QTL) spanning several megabases differences in Hydin transcript levels between pain-sensi- and containing hundreds of candidate genes. The recently tive and pain-resistant mice, suggesting that Hydin may developed Diversity Outbred (DO) population is derived influence hot-plate behavior through other biological from the same eight inbred founder strains as the Collab- mechanisms. orative Cross, including three wild-derived strains. DO mice offer increased genetic heterozygosity and allelic diversity compared to crosses involving standard mouse Introduction strains. The high rate of recombinatorial precision afforded by DO mice makes them an ideal resource for high-reso- Human pain sensitivity varies widely between individuals, lution genetic mapping, allowing the circumvention of and the significant influence of genetic factors on pain costly fine-mapping studies. -
Bioinformatics: a Practical Guide to the Analysis of Genes and Proteins, Second Edition Andreas D
BIOINFORMATICS A Practical Guide to the Analysis of Genes and Proteins SECOND EDITION Andreas D. Baxevanis Genome Technology Branch National Human Genome Research Institute National Institutes of Health Bethesda, Maryland USA B. F. Francis Ouellette Centre for Molecular Medicine and Therapeutics Children’s and Women’s Health Centre of British Columbia University of British Columbia Vancouver, British Columbia Canada A JOHN WILEY & SONS, INC., PUBLICATION New York • Chichester • Weinheim • Brisbane • Singapore • Toronto BIOINFORMATICS SECOND EDITION METHODS OF BIOCHEMICAL ANALYSIS Volume 43 BIOINFORMATICS A Practical Guide to the Analysis of Genes and Proteins SECOND EDITION Andreas D. Baxevanis Genome Technology Branch National Human Genome Research Institute National Institutes of Health Bethesda, Maryland USA B. F. Francis Ouellette Centre for Molecular Medicine and Therapeutics Children’s and Women’s Health Centre of British Columbia University of British Columbia Vancouver, British Columbia Canada A JOHN WILEY & SONS, INC., PUBLICATION New York • Chichester • Weinheim • Brisbane • Singapore • Toronto Designations used by companies to distinguish their products are often claimed as trademarks. In all instances where John Wiley & Sons, Inc., is aware of a claim, the product names appear in initial capital or ALL CAPITAL LETTERS. Readers, however, should contact the appropriate companies for more complete information regarding trademarks and registration. Copyright ᭧ 2001 by John Wiley & Sons, Inc. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic or mechanical, including uploading, downloading, printing, decompiling, recording or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. -
Multidimensional Informatic Deconvolution Defines Gender
Mechanisms of Ageing and Development 184 (2019) 111150 Contents lists available at ScienceDirect Mechanisms of Ageing and Development journal homepage: www.elsevier.com/locate/mechagedev Multidimensional informatic deconvolution defines gender-specific roles of hypothalamic GIT2 in aging trajectories T Jaana van Gastela, Huan Caib, Wei-Na Congb, Wayne Chadwickc, Caitlin Daimonb, Hanne Leysena, Jhana O. Hendrickxa, Robin De Scheppera, Laura Vangenechtena, Jens Van Turnhouta, Jasper Verswyvela, Kevin G. Beckerd, Yongqing Zhangd, Elin Lehrmannd, William H. Wood IIId, Bronwen Martinb,e,**,1, Stuart Maudsleya,c,*,1 a Receptor Biology Lab, Department of Biomedical Sciences, University of Antwerp, 2610, Wilrijk, Belgium b Metabolism Unit, Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Biomedical Research Center, 251 Bayview Boulevard, Baltimore, MD, 21224, United States c Receptor Pharmacology Unit, Laboratory of Neuroscience, National Institute on Aging, National Institutes of Health, Biomedical Research Center, 251 Bayview Boulevard, Baltimore, MD, 21224, United States d Gene Expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Biomedical Research Center, 251 Bayview Boulevard, Baltimore, MD, 21224, United States e Faculty of Pharmacy, Biomedical and Veterinary Sciences, University of Antwerp, 2610, Wilrijk, Belgium ARTICLE INFO ABSTRACT Keywords: In most species, females live longer than males. An understanding of this female longevity advantage will likely GIT2 uncover novel anti-aging therapeutic targets. Here we investigated the transcriptomic responses in the hy- Longevity pothalamus – a key organ for somatic aging control – to the introduction of a simple aging-related molecular Aging perturbation, i.e. GIT2 heterozygosity. Our previous work has demonstrated that GIT2 acts as a network con- Female troller of aging. -
Bioinformatics
Bioinformatics 1 ioinformatics is a hybrid science that links biological data with techniques for information storage, distribution, and analysis to support multiple areas of scientific Bresearch, including biomedicine. Bioinformatics is fed by high-throughput data- generating experiments, including genomic sequence determinations and measurements of gene expression patterns. Database projects curate and annotate the data and then distribute it via the World Wide Web. Mining these data leads to scientific discoveries and to the identification of new clinical applications. In the field of medicine in particular, a number of important applications for bioinformatics have been discovered. For example, it is used to identify correlations between gene sequences and diseases, to predict protein structures from amino acid sequences, to aid in the design of novel drugs, and to tailor treatments to individual patients based on their DNA sequences (pharmacogenomics). “[Helix]”, ill. under ‘’Bioinformatics’’, S [&] T: Dependable Solutions, www.stcorp.nl/step/bioinformatics 120431 Bibliotheca Alexandrina Updated by Ghada Sami 1 The goal of bioinformatics is the extension of experimental data by predictions. A fundamental goal of computational biology is the prediction of protein structure from an amino acid sequence. The spontaneous folding of proteins shows that this should be possible. Progress in the development of methods to predict protein folding is measured by biennial Critical Assessment of Structure Prediction (CASP) programs, which involve blind tests of structure prediction methods. Bioinformatics is also used to predict interactions between proteins, given individual structures of the partners. This is known as the “docking problem.” Protein-protein complexes show good complementarity in surface shape and polarity and are stabilized largely by weak interactions, such as burial of hydrophobic surface, hydrogen bonds, and van der Waals forces. -
Β1 Integrins Are Required for Normal CNS Myelination and Promote AKT-Dependent Myelin Outgrowth Claudia S
RESEARCH ARTICLE 2717 Development 136, 2717-2724 (2009) doi:10.1242/dev.038679 β1 integrins are required for normal CNS myelination and promote AKT-dependent myelin outgrowth Claudia S. Barros1,*, Tom Nguyen2,*, Kathryn S. R. Spencer1, Akiko Nishiyama3, Holly Colognato2,† and Ulrich Müller1,† Oligodendrocytes in the central nervous system (CNS) produce myelin sheaths that insulate axons to ensure fast propagation of action potentials. β1 integrins regulate the myelination of peripheral nerves, but their function during the myelination of axonal tracts in the CNS is unclear. Here we show that genetically modified mice lacking β1 integrins in the CNS present a deficit in myelination but no defects in the development of the oligodendroglial lineage. Instead, in vitro data show that β1 integrins regulate the outgrowth of myelin sheaths. Oligodendrocytes derived from mutant mice are unable to efficiently extend myelin sheets and fail to activate AKT (also known as AKT1), a kinase that is crucial for axonal ensheathment. The inhibition of PTEN, a negative regulator of AKT, or the expression of a constitutively active form of AKT restores myelin outgrowth in cultured β1- deficient oligodendrocytes. Our data suggest that β1 integrins play an instructive role in CNS myelination by promoting myelin wrapping in a process that depends on AKT. KEY WORDS: β1 integrins, Myelination, Oligodendrocytes, Mouse INTRODUCTION myelination. In fact, genetic studies addressing the function of β1 In the vertebrate nervous system, myelin sheaths insulate axons integrins in oligodendrocytes have led to contradictory results. and limit membrane depolarization to the nodes of Ranvier, where Whereas oligodendrocyte-specific expression of a dominant- the machinery propagating action potentials is concentrated negative (DN) β1 integrin in a transgenic mouse model was (Sherman and Brophy, 2005). -
Boston University Graduate Program in Bioinformatics Handbook 2012
1 Boston University Graduate Program in Bioinformatics Handbook 2012-2013 http://www.bu.edu/bioinformatics Department of Biochemistry (School of Medicine) Department of Biology (College of Arts and Sciences) Biomedical Engineering Department (College of Engineering) Department of Biostatistics (School of Public Health) Department of Chemistry (College of Arts and Sciences) Department of Computational Biomedicine (School of Medicine) Department of Computer Science (College of Arts and Sciences) Electrical and Computer Engineering Department (College of Engineering) Genetics and Genomics Department (School of Medicine) Department of Mathematics and Statistics (College of Arts and Sciences) Department of Medicine (School of Medicine) Department of Microbiology (School of Medicine) Department of Mechanical Engineering (College of Engineering) Molecular and Cell Biology (Goldman School of Dental Health) Department of Neurology (School of Medicine) Periodontology & Oral Biology (Goldman School of Dental Health) Department of Physics (College of Arts and Sciences) Pulmonary Medicine (School of Medicine) Systems Engineering Division (College of Engineering) Center for Computational Science Center for Advanced Biotechnology Center for Advanced Genomic Technology Last Updated: 10/11/12 2 Bioinformatics Faculty and Staff Faculty Director Thomas Tullius Director of Bioinformatics Associate Directors Gary Benson* Associate Director of IGERT Scott Mohr Administrative Director, Director of Graduate Studies Department of Biochemistry (BUSM) Joseph Zaia Professor Associate Director, Center for Biomedical Mass Spectrometry Department of Biology (CAS) Cynthia Bradham Assistant Professor Geoffrey M. Cooper Professor, Associate Dean of the Faculty, Natural Sciences John Finnerty Associate Professor Ulla Hansen Professor Edward Loechler Professor Kimberly McCall Associate Professor # Daniel Segre* Associate Professor Dean Tolan Professor David Waxman Professor Department of Biomedical Engineering (ENG) Charles Cantor* Professor, Director of Center for Advanced Biotechnology James J.