Transcriptome Profiling of the Rice Blast Fungus During Invasive Plant
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Solarbio Catalogue with PRICES
CAS Name Grade Purity Biochemical Reagent Biochemical Reagent 75621-03-3 C8390-1 3-((3-Cholamidopropyl)dimethylammonium)-1-propanesulfonateCHAPS Ultra Pure Grade 1g 75621-03-3 C8390-5 3-((3-Cholamidopropyl)dimethylammonium)-1-propanesulfonateCHAPS 5g 57-09-0 C8440-25 Cetyl-trimethyl Ammonium Bromide CTAB High Pure Grade ≥99.0% 25g 57-09-0 C8440-100 Cetyl-trimethyl Ammonium Bromide CTAB High Pure Grade ≥99.0% 100g 57-09-0 C8440-500 Cetyl-trimethyl Ammonium Bromide CTAB High Pure Grade ≥99.0% 500g E1170-100 0.5M EDTA (PH8.0) 100ml E1170-500 0.5M EDTA (PH8.0) 500ml 6381-92-6 E8030-100 EDTA disodium salt dihydrate EDTA Na2 Biotechnology Grade ≥99.0% 100g 6381-92-6 E8030-500 EDTA disodium salt dihydrate EDTA Na2 Biotechnology Grade ≥99.0% 500g 6381-92-6 E8030-1000 EDTA disodium salt dihydrate EDTA Na2 Biotechnology Grade ≥99.0% 1kg 6381-92-6 E8030-5000 EDTA disodium salt dihydrate EDTA Na2 Biotechnology Grade ≥99.0% 5kg 60-00-4 E8040-100 Ethylenediaminetetraacetic acid EDTA Ultra Pure Grade ≥99.5% 100g 60-00-4 E8040-500 Ethylenediaminetetraacetic acid EDTA Ultra Pure Grade ≥99.5% 500g 60-00-4 E8040-1000 Ethylenediaminetetraacetic acid EDTA Ultra Pure Grade ≥99.5% 1kg 67-42-5 E8050-5 Ethylene glycol-bis(2-aminoethylether)-N,N,NEGTA′,N′-tetraacetic acid Ultra Pure Grade ≥97.0% 5g 67-42-5 E8050-10 Ethylene glycol-bis(2-aminoethylether)-N,N,NEGTA′,N′-tetraacetic acid Ultra Pure Grade ≥97.0% 10g 50-01-1 G8070-100 Guanidine Hydrochloride Guanidine HCl ≥98.0%(AT) 100g 50-01-1 G8070-500 Guanidine Hydrochloride Guanidine HCl ≥98.0%(AT) 500g 56-81-5 -
Fungal Pathogenesis in Humans the Growing Threat
Fungal Pathogenesis in Humans The Growing Threat Edited by Fernando Leal Printed Edition of the Special Issue Published in Genes www.mdpi.com/journal/genes Fungal Pathogenesis in Humans Fungal Pathogenesis in Humans The Growing Threat Special Issue Editor Fernando Leal MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade Special Issue Editor Fernando Leal Instituto de Biolog´ıa Funcional y Genomica/Universidad´ de Salamanca Spain Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Genes (ISSN 2073-4425) from 2018 to 2019 (available at: https://www.mdpi.com/journal/genes/special issues/Fungal Pathogenesis Humans Growing Threat). For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Article Number, Page Range. ISBN 978-3-03897-900-5 (Pbk) ISBN 978-3-03897-901-2 (PDF) Cover image courtesy of Fernando Leal. c 2019 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. Contents About the Special Issue Editor ...................................... vii Fernando Leal Special Issue: Fungal Pathogenesis in Humans: The Growing Threat Reprinted from: Genes 2019, 10, 136, doi:10.3390/genes10020136 .................. -
Osmotic Stress Response in the Industrially Important Bacterium
Osmotic stress response in the industrially important bacterium Gluconobacter oxydans Dissertation to obtain the degree of Doctorate (Dr. rer. nat.) from the Faculty of Mathematics and Natural Sciences of the Rheinische Friedrich-Wilhelms University of Bonn, Germany submitted by Nageena Zahid from Lahore, Pakistan Bonn, November 2016 Finalized with the permission from the Faculty of Mathematics and Natural Sciences of the Rheinische Friedrich-Wilhelms University of Bonn, Germany First Referee: Prof. Dr. Uwe Deppenmeier Second Referee: Prof. Dr. Erwin A. Galinski Day of Promotion: 07.02.2017 Year of Publication: 2017 List of parts of this thesis that have already been published. Zahid N., Schweiger P., Galinski E., Deppenmeier U. (2015). Identification of mannitol as compatible solute in Gluconobacter oxydans. Appl Microbiol Biotechnol 99, 5511- 5521. Zahid N. and Deppenmeier U. (2016). Role of mannitol dehydrogenases in osmoprotection of Gluconobacter oxydans. Appl Microbiol Biotechnol 100, 9967-9978. For my Son TABLE OF CONTENTS 1. INTRODUCTION 1 1.1. Acetic acid bacteria 1 1.2. The genus Gluconobacter 2 1.2.1. Respiratory chain of G. oxydans 3 1.2.2. Intracellular carbohydrate metabolism in G. oxydans 6 1.2.3. Types and function of sugars and polyols metabolizing enzymes in Gluconobacter 7 1.2.4. Biotechnological applications of G. oxydans and its limitations 8 1.3. Aims of the work 10 2. MATERIALS AND METHODS 12 2.1. Chemicals and Enzymes 12 2.2. Bacterial strains, plasmids, primers 12 2.2.1. Bacterial strains 12 2.2.2. Oligonucleotides and Plasmids 13 2.3. Antibiotic stock solutions 18 2.4. -
All Enzymes in BRENDA™ the Comprehensive Enzyme Information System
All enzymes in BRENDA™ The Comprehensive Enzyme Information System http://www.brenda-enzymes.org/index.php4?page=information/all_enzymes.php4 1.1.1.1 alcohol dehydrogenase 1.1.1.B1 D-arabitol-phosphate dehydrogenase 1.1.1.2 alcohol dehydrogenase (NADP+) 1.1.1.B3 (S)-specific secondary alcohol dehydrogenase 1.1.1.3 homoserine dehydrogenase 1.1.1.B4 (R)-specific secondary alcohol dehydrogenase 1.1.1.4 (R,R)-butanediol dehydrogenase 1.1.1.5 acetoin dehydrogenase 1.1.1.B5 NADP-retinol dehydrogenase 1.1.1.6 glycerol dehydrogenase 1.1.1.7 propanediol-phosphate dehydrogenase 1.1.1.8 glycerol-3-phosphate dehydrogenase (NAD+) 1.1.1.9 D-xylulose reductase 1.1.1.10 L-xylulose reductase 1.1.1.11 D-arabinitol 4-dehydrogenase 1.1.1.12 L-arabinitol 4-dehydrogenase 1.1.1.13 L-arabinitol 2-dehydrogenase 1.1.1.14 L-iditol 2-dehydrogenase 1.1.1.15 D-iditol 2-dehydrogenase 1.1.1.16 galactitol 2-dehydrogenase 1.1.1.17 mannitol-1-phosphate 5-dehydrogenase 1.1.1.18 inositol 2-dehydrogenase 1.1.1.19 glucuronate reductase 1.1.1.20 glucuronolactone reductase 1.1.1.21 aldehyde reductase 1.1.1.22 UDP-glucose 6-dehydrogenase 1.1.1.23 histidinol dehydrogenase 1.1.1.24 quinate dehydrogenase 1.1.1.25 shikimate dehydrogenase 1.1.1.26 glyoxylate reductase 1.1.1.27 L-lactate dehydrogenase 1.1.1.28 D-lactate dehydrogenase 1.1.1.29 glycerate dehydrogenase 1.1.1.30 3-hydroxybutyrate dehydrogenase 1.1.1.31 3-hydroxyisobutyrate dehydrogenase 1.1.1.32 mevaldate reductase 1.1.1.33 mevaldate reductase (NADPH) 1.1.1.34 hydroxymethylglutaryl-CoA reductase (NADPH) 1.1.1.35 3-hydroxyacyl-CoA -
Biocatalysis and Pharmaceuticals a Smart Tool for Sustainable Development
catalysts Biocatalysis and Pharmaceuticals A Smart Tool for Sustainable Development Edited by Andrés R. Alcàntara Printed Edition of the Special Issue Published in Catalysts www.mdpi.com/journal/catalysts Biocatalysis and Pharmaceuticals Biocatalysis and Pharmaceuticals A Smart Tool for Sustainable Development Special Issue Editor Andr´es R. Alc´antara MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade Special Issue Editor Andres´ R. Alcantara´ Complutense University Spain Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Catalysts (ISSN 2073-4344) from 2018 to 2019 (available at: https://www.mdpi.com/journal/catalysts/special issues/biocatalysis pharmaceuticals). For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Article Number, Page Range. ISBN 978-3-03921-708-3 (Pbk) ISBN 978-3-03921-709-0 (PDF) c 2019 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. Contents About the Special Issue Editor ...................................... vii Andr´esR. Alc´antara Biocatalysis and Pharmaceuticals: A Smart Tool for Sustainable Development Reprinted from: Catalysts 2019, 9, 792, doi:10.3390/catal9100792 .................. -
Springer Handbook of Enzymes
Dietmar Schomburg Ida Schomburg (Eds.) Springer Handbook of Enzymes Alphabetical Name Index 1 23 © Springer-Verlag Berlin Heidelberg New York 2010 This work is subject to copyright. All rights reserved, whether in whole or part of the material con- cerned, specifically the right of translation, printing and reprinting, reproduction and storage in data- bases. The publisher cannot assume any legal responsibility for given data. Commercial distribution is only permitted with the publishers written consent. Springer Handbook of Enzymes, Vols. 1–39 + Supplements 1–7, Name Index 2.4.1.60 abequosyltransferase, Vol. 31, p. 468 2.7.1.157 N-acetylgalactosamine kinase, Vol. S2, p. 268 4.2.3.18 abietadiene synthase, Vol. S7,p.276 3.1.6.12 N-acetylgalactosamine-4-sulfatase, Vol. 11, p. 300 1.14.13.93 (+)-abscisic acid 8’-hydroxylase, Vol. S1, p. 602 3.1.6.4 N-acetylgalactosamine-6-sulfatase, Vol. 11, p. 267 1.2.3.14 abscisic-aldehyde oxidase, Vol. S1, p. 176 3.2.1.49 a-N-acetylgalactosaminidase, Vol. 13,p.10 1.2.1.10 acetaldehyde dehydrogenase (acetylating), Vol. 20, 3.2.1.53 b-N-acetylgalactosaminidase, Vol. 13,p.91 p. 115 2.4.99.3 a-N-acetylgalactosaminide a-2,6-sialyltransferase, 3.5.1.63 4-acetamidobutyrate deacetylase, Vol. 14,p.528 Vol. 33,p.335 3.5.1.51 4-acetamidobutyryl-CoA deacetylase, Vol. 14, 2.4.1.147 acetylgalactosaminyl-O-glycosyl-glycoprotein b- p. 482 1,3-N-acetylglucosaminyltransferase, Vol. 32, 3.5.1.29 2-(acetamidomethylene)succinate hydrolase, p. 287 Vol. -
Comprehensive Metabolomic Study of the Response of HK-2 Cells to Hyperglycemic, Hypoxic Diabetic-Like Milieu Has Never Been Performed
www.nature.com/scientificreports OPEN Comprehensive metabolomic study of the response of HK‑2 cells to hyperglycemic hypoxic diabetic‑like milieu Alberto Valdés 1,2*, Francisco J. Lucio‑Cazaña3, María Castro‑Puyana1,4, Coral García‑Pastor3, Oliver Fiehn2 & María Luisa Marina 1,4* Diabetic nephropathy (DN) is the leading cause of chronic kidney disease. Although hyperglycaemia has been determined as the most important risk factor, hypoxia also plays a relevant role in the development of this disease. In this work, a comprehensive metabolomic study of the response of HK‑2 cells, a human cell line derived from normal proximal tubular epithelial cells, to hyperglycemic, hypoxic diabetic‑like milieu has been performed. Cells simultaneously exposed to high glucose (25 mM) and hypoxia (1% O2) were compared to cells in control conditions (5.5 mM glucose/18.6% O2) at 48 h. The combination of advanced metabolomic platforms (GC‑TOF MS, HILIC‑ and CSH‑ QExactive MS/MS), freely available metabolite annotation tools, novel databases and libraries, and stringent cut‑of flters allowed the annotation of 733 metabolites intracellularly and 290 compounds in the extracellular medium. Advanced bioinformatics and statistical tools demonstrated that several pathways were signifcantly altered, including carbohydrate and pentose phosphate pathways, as well as arginine and proline metabolism. Other afected metabolites were found in purine and lipid metabolism, the protection against the osmotic stress and the prevention of the activation of the β‑oxidation pathway. Overall, the efects of the combined exposure of HK‑cells to high glucose and hypoxia are reasonably compatible with previous in vivo works. Diabetic nephropathy (DN) is the leading cause of chronic kidney disease and if afects approximately 25–40% of type 1 and type 2 diabetic patients 1,2. -
Genome-Scale Metabolic Model of the Human Pathogen Candida Albicans: a Promising Platform for Drug Target Prediction
Journal of Fungi Article Genome-Scale Metabolic Model of the Human Pathogen Candida albicans: A Promising Platform for Drug Target Prediction Romeu Viana 1,2, Oscar Dias 3 , Davide Lagoa 3,Mónica Galocha 1,2, Isabel Rocha 3,4,* and Miguel Cacho Teixeira 1,2,* 1 Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal; [email protected] (R.V.); [email protected] (M.G.) 2 Institute for Bioengineering and Biosciences, Biological Sciences Research Group, Instituto Superior Técnico, 1049-001 Lisbon, Portugal 3 Centre of Biological Engineering, Universidade do Minho, 4710-057 Braga, Portugal; [email protected] (O.D.); [email protected] (D.L.) 4 Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa (ITQB-NOVA), 2780-157 Oeiras, Portugal * Correspondence: [email protected] (I.R.); [email protected] (M.C.T.) Received: 27 July 2020; Accepted: 8 September 2020; Published: 11 September 2020 Abstract: Candida albicans is one of the most impactful fungal pathogens and the most common cause of invasive candidiasis, which is associated with very high mortality rates. With the rise in the frequency of multidrug-resistant clinical isolates, the identification of new drug targets and new drugs is crucial in overcoming the increase in therapeutic failure. In this study, the first validated genome-scale metabolic model for Candida albicans, iRV781, is presented. The model consists of 1221 reactions, 926 metabolites, 781 genes, and four compartments. This model was reconstructed using the open-source software tool merlin 4.0.2. It is provided in the well-established systems biology markup language (SBML) format, thus, being usable in most metabolic engineering platforms, such as OptFlux or COBRA. -
634238V1.Full.Pdf
bioRxiv preprint doi: https://doi.org/10.1101/634238; this version posted May 10, 2019. 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-NC 4.0 International license. 1 Identification of NAD-dependent xylitol dehydrogenase from Gluconobacter 2 oxydans WSH-003 3 4 Li Liu1,2,4, Weizhu Zeng1, Guocheng Du1,3, Jian Chen1,2,4, Jingwen Zhou1,2,4* 5 6 1 School of Biotechnology and Key Laboratory of Industrial Biotechnology, Ministry 7 of Education, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China. 8 2 National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan 9 University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China. 10 3 The Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of 11 Education, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China. 12 4 Jiangsu Provisional Research Center for Bioactive Product Processing Technology, 13 Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China. 14 15 * Corresponding author: Jingwen Zhou 16 Mailing address: School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 17 Jiangsu 214122, China 18 Phone: +86-510-85914317, Fax: +86-510-85914317 19 E-mail: [email protected]. 20 21 bioRxiv preprint doi: https://doi.org/10.1101/634238; this version posted May 10, 2019. 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. -
Metabolomic and Lipidomic Biomarkers for Premalignant Liver Disease Diagnosis and Therapy
H OH metabolites OH Review Metabolomic and Lipidomic Biomarkers for Premalignant Liver Disease Diagnosis and Therapy Diren Beyo˘gluand Jeffrey R. Idle * Arthur G. Zupko’s Division of Systems Pharmacology and Pharmacogenomics, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, 75 Dekalb Avenue, Brooklyn, NY 11201, USA; [email protected] * Correspondence: jeff[email protected] Received: 13 January 2020; Accepted: 26 January 2020; Published: 28 January 2020 Abstract: In recent years, there has been a plethora of attempts to discover biomarkers that are more reliable than α-fetoprotein for the early prediction and prognosis of hepatocellular carcinoma (HCC). Efforts have involved such fields as genomics, transcriptomics, epigenetics, microRNA, exosomes, proteomics, glycoproteomics, and metabolomics. HCC arises against a background of inflammation, steatosis, and cirrhosis, due mainly to hepatic insults caused by alcohol abuse, hepatitis B and C virus infection, adiposity, and diabetes. Metabolomics offers an opportunity, without recourse to liver biopsy, to discover biomarkers for premalignant liver disease, thereby alerting the potential of impending HCC. We have reviewed metabolomic studies in alcoholic liver disease (ALD), cholestasis, fibrosis, cirrhosis, nonalcoholic fatty liver (NAFL), and nonalcoholic steatohepatitis (NASH). Specificity was our major criterion in proposing clinical evaluation of indole-3-lactic acid, phenyllactic acid, N-lauroylglycine, decatrienoate, N-acetyltaurine for ALD, urinary sulfated bile acids for cholestasis, cervonoyl ethanolamide for fibrosis, 16α-hydroxyestrone for cirrhosis, and the pattern of acyl carnitines for NAFL and NASH. These examples derive from a large body of published metabolomic observations in various liver diseases in adults, adolescents, and children, together with animal models. -
US 2020/0078401 A1 VIJAYANAND Et Al
US 20200078401A1 IN ( 19 ) United States (12 ) Patent Application Publication ( 10) Pub . No .: US 2020/0078401 A1 VIJAYANAND et al. (43 ) Pub . Date : Mar. 12 , 2020 (54 ) COMPOSITIONS FOR CANCER (52 ) U.S. CI. TREATMENT AND METHODS AND USES CPC A61K 35/17 ( 2013.01) ; A61K 45/06 FOR CANCER TREATMENT AND ( 2013.01 ) ; C120 1/6886 ( 2013.01 ) ; A61P PROGNOSIS 35/00 (2018.01 ) ( 71 ) Applicants : La Jolla Institute for Allergy and Immunology , La Jolla , CA (US ) ; UNIVERSITY OF SOUTHAMPTON , (57 ) ABSTRACT Hampshire (GB ) (72 ) Inventors : Pandurangan VIJAYANAND , La Jolla , CA (US ) ; Christian Global transcriptional profiling of CTLs in tumors and OTTENSMEIER , Hampshire (GB ) ; adjacent non -tumor tissue from treatment- naive patients Anusha PreethiGANESAN , La Jolla , with early stage lung cancer revealed molecular features CA (US ) ; James CLARKE , Hampshire associated with robustness of anti - tumor immune responses . (GB ) ; Tilman SANCHEZ - ELSNER , Major differences in the transcriptional program of tumor Hampshire (GB ) infiltrating CTLswere observed that are shared across tumor subtypes . Pathway analysis revealed enrichment of genes in ( 21 ) Appl. No .: 16 / 465,983 cell cycle , T cell receptor ( TCR ) activation and co -stimula tion pathways , indicating tumor- driven expansion of pre ( 22 ) PCT Filed : Dec. 7 , 2017 sumed tumor antigen - specific CTLs. Marked heterogeneity in the expression ofmolecules associated with TCR activa ( 86 ) PCT No .: PCT /US2017 / 065197 tion and immune checkpoints such as 4-1BB , PD1, TIM3, $ 371 ( c ) ( 1 ) , was also observed and their expression was positively ( 2 ) Date : May 31 , 2019 correlated with the density of tumor- infiltrating CTLs. Tran scripts linked to tissue- resident memory cells ( TRM ), such Related U.S. -
Studies on Central Carbon Metabolism and Respiration of Gluconobacter Oxydans 621H
Studies on central carbon metabolism and respiration of Gluconobacter oxydans 621H Inaugural-Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf vorgelegt von Tanja Hanke aus Solingen Düsseldorf, Dezember 2009 Aus dem Institut für Biotechnologie 1 des Forschungszentrums Jülich GmbH Gedruckt mit der Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf Referent: Prof. Dr. H. Sahm Koreferent: Prof. Dr. M. Bott Tag der mündlichen Prüfung: 22.01.2010 Publications Hanke T, Noack S, Nöh K, Bringer S, Oldiges M, Sahm H, Bott M, Wiechert W (2010) Characterisation of glucose catabolism in Gluconobacter oxydans 621H by 13C- labeling and metabolic flux analysis. Submitted to FEMS Microbiology Letters Hanke T, Bringer S, Polen T, Sahm H, Bott M (2010) Genome-wide microarray analyses of Gluconobacter oxydans: Response to oxygen depletion, growth phases and acidic growth conditions. Manuscript for submission to J Bacteriol Hanke T, Bringer S, Sahm H Bott M (2010) The cytochrome bc1 complex in Gluconobacter oxydans 621H: Functional analysis by fermentation studies and whole cell kinetics with a marker-free deletion mutant. Manuscript for submission to J Bacteriol Abstract Gluconobacter oxydans shows a number of exceptional characteristics, like the biphasic growth on glucose and the incomplete oxidation of glucose to gluconate (phase I, exponential growth,) and ketogluconates (phase II, linear growth), leading to an acidification of the medium down to pH values less than 4. Furthermore, growth and metabolism of G. oxydans is strongly dependent on the availability of oxygen. In the respiratory chain, two terminal end acceptors are present. The ubiquinol bd oxidase, preferably used under acidic pH, is less efficient in contribution to the proton motive force than the bo3 oxidase.