The Role of Metabolic Engineering Technologies for the Production of Fatty Acids in Yeast
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Amphibolic Nature of Krebs Cycle
Amphibolic nature of Krebs Cycle How what we are is what we eat • In aerobic organisms, the citric acid cycle is an amphibolic pathway, one that serves in both catabolic and anabolic processes. • Since the citric acid does both synthesis (anabolic) and breakdown (catabolic) activities, it is called an amphibolic pathway • The citric acid cycle is amphibolic (i.e it is both anabolic and catabolic in its function). • It is said to be an AMPHIBOLIC pathway, because it functions in both degradative or catabolic and biosynthetic or anabolic reactions (amphi = both) A central metabolic pathway or amphibolic pathway is a set of reactions which permit the interconversion of several metabolites, and represents the end of the catabolism and the beginning of anabolism • The KREBS CYCLE or citric acid cycle is a series of reactions that degrades acetyl CoA to yield carbon dioxide, and energy, which is used to produce NADH, H+ and FADH. • The KREBS CYCLE connects the catabolic pathways that begin with the digestion and degradation of foods in stages 1 and 2 with the oxidation of substrates in stage 3 that generates most of the energy for ATP synthesis. • The citric acid cycle is the final common pathway in the oxidation of fuel molecules. In stage 3 of metabolism, citric acid is a final common catabolic intermediate in the form of acetylCoA. • This is why the citric acid cycle is called a central metabolic pathway. Anaplerosis and Cataplerosis Anaplerosis is a series of enzymatic reactions in which metabolic intermediates enter the citric acid cycle from the cytosol. Cataplerosis is the opposite, a process where intermediates leave the citric acid cycle and enter the cytosol. -
Fructose Metabolism from a Functional
SSE #174 Sports Science Exchange (2017) Vol. 28, No. 174, 1-5 FRUCTOSE METABOLISM FROM A FUNCTIONAL PERSPECTIVE: IMPLICATIONS FOR ATHLETES Luke Tappy, MD | Department of Physiology, Faculty of Biology and Medicine, University of Lausanne, Service of Endocrinology, Diabetes and Metabolism | Lausanne University Hospital, and Cardio-metabolic Center, Broye Hospital | Estavayer-le-lac, Switzerland • Fructose was originally a seasonal natural nutrient, mainly consumed in summer and fall in fruits and vegetables. In the industrial era, it became a permanent constituent of our diet, essentially a constituent of added sugars (sucrose, high-fructose corn syrup). • Fructose cannot be directly metabolized by most cells in our body. It has to be processed first in the gut, liver and kidneys, where it is converted into glucose, lactate and fatty acids. • Too much dietary fructose along with excess energy intake and low physical activity can cause hepatic insulin resistance, hypertriglyceridemia and increased hepatic fat content. GAT11LOGO_GSSI_vert_fc_grn • In exercising athletes, net carbohydrate oxidation increases with glucose ingestion in a dose-dependent manner until a plateau is reached at about 1g/min. The addition of fructose to glucose drinks can further increase carbohydrate oxidation. • During exercise, substantial amounts of fructose can be converted into lactate in splanchnic organs if available and released in the systemic circulation to be oxidized in contracting muscles. This “reverse fructose-lactate Cori cycle” provides additional energy substrate to muscle during exercise. • Conversion of fructose into glucose and lactate in splanchnic organs is associated with enhanced splanchnic energy expenditure, while muscle energy efficiency is minimally altered. • During recovery after exercise, glucose and fructose mutually enhance their gut absorption and their storage as glycogen in the liver. -
• Glycolysis • Gluconeogenesis • Glycogen Synthesis
Carbohydrate Metabolism! Wichit Suthammarak – Department of Biochemistry, Faculty of Medicine Siriraj Hospital – Aug 1st and 4th, 2014! • Glycolysis • Gluconeogenesis • Glycogen synthesis • Glycogenolysis • Pentose phosphate pathway • Metabolism of other hexoses Carbohydrate Digestion! Digestive enzymes! Polysaccharides/complex carbohydrates Salivary glands Amylase Pancreas Oligosaccharides/dextrins Dextrinase Membrane-bound Microvilli Brush border Maltose Sucrose Lactose Maltase Sucrase Lactase ‘Disaccharidase’ 2 glucose 1 glucose 1 glucose 1 fructose 1 galactose Lactose Intolerance! Cause & Pathophysiology! Normal lactose digestion Lactose intolerance Lactose Lactose Lactose Glucose Small Intestine Lactase lactase X Galactose Bacteria 1 glucose Large Fermentation 1 galactose Intestine gases, organic acid, Normal stools osmotically Lactase deficiency! active molecules • Primary lactase deficiency: อาการ! genetic defect, การสราง lactase ลด ลงเมออายมากขน, พบมากทสด! ปวดทอง, ถายเหลว, คลนไสอาเจยนภาย • Secondary lactase deficiency: หลงจากรบประทานอาหารทม lactose acquired/transient เชน small bowel เปนปรมาณมาก เชนนม! injury, gastroenteritis, inflammatory bowel disease! Absorption of Hexoses! Site: duodenum! Intestinal lumen Enterocytes Membrane Transporter! Blood SGLT1: sodium-glucose transporter Na+" Na+" •! Presents at the apical membrane ! of enterocytes! SGLT1 Glucose" Glucose" •! Co-transports Na+ and glucose/! Galactose" Galactose" galactose! GLUT2 Fructose" Fructose" GLUT5 GLUT5 •! Transports fructose from the ! intestinal lumen into enterocytes! -
Inhibition of Fructolytic Enzymes in Boar Spermatozoa by (S)-A-Chlorohydrin and L-Chloro-3-Hydroxypropanone
Aust. J. BioI. Sci., 1986, 39, 395-406 Inhibition of Fructolytic Enzymes in Boar Spermatozoa by (S)-a-Chlorohydrin and l-Chloro-3-hydroxypropanone A. R. Jones, W. A. Bubb, S. R. Murdoch, and D. A. Stevenson Department of Biochemistry, The University of Sydney, New South Wales 2006. Abstract When boar spermatozoa were incubated with the (S)-isomer of the male antifertility agent a-chlorohydrin the activity of glyceraldehyde-3-phosphate dehydrogenase was inhibited. The (R)-isomer had no significant effect on the activity of this enzyme whereas (R,S)-3-chlorolactaldehyde caused an inhibition of its activity and also in that of lactate dehydrogenase. The in vitro production of (S)-3-chlorolactaldehyde, the active metabolite of (S)-a-chlorohydrin, was attempted by incubating boar spermatozoa with l-chloro-3- hydroxypropanone. Preliminary results lead us to propose that this compound is converted into (S)-3- chlorolactaldehyde as well as to another metabolite which is an inhibitor of other enzymes within the fructolytic pathway. Introduction Of the many non-steroidal chemicals which are known to elicit an antifertility response in the male (Jackson 1966), only one compound has most of the attributes of an ideal male contraceptive. This compound, (S)-a-chlorohydrin [(S)-3-chloro propan-l,2-diol, I (Fig. 1)], affects the metabolic activity of mature spermatozoa by inhibiting the activity of the glycolytic or fructolytic enzyme glyceraldehyde- 3-phosphate dehydrogenase (Ee 1.2.1.12) thereby causing a decrease in the fructolytic flux. This limits the capability of the spermatozoa to synthesize ATP so that when CHpH I c=o I CH2C1 III Fig. -
Metabolic Engineering of Microorganisms for the Overproduction of Fatty Acids Ting Wei Tee Iowa State University
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2013 Metabolic engineering of microorganisms for the overproduction of fatty acids Ting Wei Tee Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Chemical Engineering Commons Recommended Citation Tee, Ting Wei, "Metabolic engineering of microorganisms for the overproduction of fatty acids" (2013). Graduate Theses and Dissertations. 13516. https://lib.dr.iastate.edu/etd/13516 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Metabolic engineering of microorganisms for the overproduction of fatty acids by Ting Wei Tee A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy Major: Chemical Engineering Program of Study Committee: Jacqueline V. Shanks, Major Professor Laura R. Jarboe R. Dennis Vigil David J. Oliver Marna D. Nelson Iowa State University Ames, Iowa 2013 Copyright © Ting Wei Tee, 2013. All rights reserved. ii TABLE OF CONTENTS Page ACKNOWLEDGEMENTS ................................................................................................ v ABSTRACT ....................................................................................................................... -
Generated by SRI International Pathway Tools Version 25.0, Authors S
An online version of this diagram is available at BioCyc.org. Biosynthetic pathways are positioned in the left of the cytoplasm, degradative pathways on the right, and reactions not assigned to any pathway are in the far right of the cytoplasm. Transporters and membrane proteins are shown on the membrane. Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Gcf_000238675-HmpCyc: Bacillus smithii 7_3_47FAA Cellular Overview Connections between pathways are omitted for legibility. -
Dynamical Reduction of Metabolic Networks by Singular Perturbation Theory : Application to Microalgae Claudia Lopez Zazueta
Dynamical reduction of metabolic networks by singular perturbation theory : application to microalgae Claudia Lopez Zazueta To cite this version: Claudia Lopez Zazueta. Dynamical reduction of metabolic networks by singular perturbation theory : application to microalgae. Signal and Image processing. COMUE Université Côte d’Azur (2015 - 2019), 2018. English. NNT : 2018AZUR4108. tel-02411569 HAL Id: tel-02411569 https://tel.archives-ouvertes.fr/tel-02411569 Submitted on 15 Dec 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE DE DOCTORAT Réduction dynamique de réseaux métaboliques par la théorie des perturbations singulières : Application aux microalgues Claudia LÓPEZ ZAZUETA Institut National de Recherche en Informatique et en Automatique (Inria) Équipe-Projet BIOCORE Présentée en vue de l’obtention Devant le jury, composé de : du grade de docteur en Sciences Alexander Bockmayr, Professeur, Freie d’Université Côte d’Azur Universität Berlin Mention : Automatique, Traitement du Diego Oyarzún, Lecturer in Computational Signal et des Images Biology, -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal -
Metabolic Modelling of Wine-Making : a State of the Art
METABOLIC MODELLING OF WINE-MAKING : A STATE OF THE ART Robert David and Denis Dochain1, Alain Vande Wouwer2, Jean-Roch Mouret and Jean-Marie Sablayrolles3 1Université Catholique de Louvain, Belgium, 2Faculté Polytechnique de Mons, Belgium, 3INRA - Montpellier SupAgro, France Corresponding author: Robert David, Center for Systems Engineering and Applied Mechanics (CESAME) Université Catholique de Louvain, Avenue Georges Lemaître 4, 1348 Louvain-la-Neuve, Belgium, ÐÓÙÚÒº Abstract. The yeast Saccharomyces cerevisiae is one of the most studied micro-organism, due to its numerous applications (beer, wine, bakery, bioethanol). This good knowledge of the species was notably considered in modelling approaches where the intracellular behaviour is taken into account. Among them Metabolic Flux Analysis and Elementary Flux Modes are tools of interest to develop a mathematical model of the fermentation process including some characteristic flavour compounds. The present paper describes what has been done in the restrained field of wine-making/fermentation conditions, and underlines the potential of such approaches. 1 Introduction As in most food processes, there is a need to increase the development of efficient control tools in order to im- ºÓÖ prove the quality of food products. This is one of the issue of the EC CAFE project ( ). In the context of wine-making, an a priori attractive path may be to consider microbiological knowledge about the production of the important organoleptic properties of the wine in order to develop new appropriate control approaches that can help to guarantee the production of wine of defined quality. In the nineties, as technical progresses in biotechnology were decisive, Saccharomyces cerevisiae has become the first eukaryotic organism1 whose genome was fully sequenced, denoting the interest for its better understanding. -
Metabolic Engineering and Synthetic Biology-CHEN 4803 Chemical and Biological Engineering Fall 2016 Syllabus
Metabolic Engineering and Synthetic Biology-CHEN 4803 Chemical and Biological Engineering Fall 2016 Syllabus Importance of Course: Metabolic Engineering describes the field of study concerned with applying genetic engineering tools to alter flux through native or newly introduced metabolic pathways in biological systems. Synthetic Biology includes similar objectives but is more broadly focused on applications enabled more generally by advances in DNA synthesis and sequencing technologies. Together these fields are of central importance to efforts to produce chemicals, fuels, and materials via bioprocessing as well as a much broader range of emerging commercial applications; such as biosensing, consumer biotechnology, the microbiome, novel pharmaceuticals, etc. Objectives: With your help, make this the class you find most interesting and useful for your future career. See Course Learning Goals at the end of this syllabus for specifics. Expectations: I expect you to attend all classes and be on time. I expect you to be responsible for your learning in this class. However, I also expect you to come to me with difficult to answer questions. The major responsibility for learning must be by doing the assigned readings and being actively engaged in class discussions, workshops, and interactive presentations. Course Information Instructor: Dr. Anushree Chatterjee, Assistant Professor, Chemical and Biological Engineering, [email protected] Class Meetings: MWF, 11:30 AM-12:20 PM, BIOT A104 Textbook: None specific, though we will be following some parts of Metabolic Engineering: Principles and Methodologies by Gregory N. Stephanopoulus, Aristos A. Aristidou, and Jens Nielsen. Readings: Will be posted on D2L Course webpage or provided as handouts in class. -
Profiling Cellular Processes in Adipose Tissue During Weight Loss Using Time Series Gene Expression
G C A T T A C G G C A T genes Article Profiling Cellular Processes in Adipose Tissue during Weight Loss Using Time Series Gene Expression Samar H. K. Tareen 1,* , Michiel E. Adriaens 1,* , Ilja C. W. Arts 1,2, Theo M. de Kok 1,3, Roel G. Vink 4, Nadia J. T. Roumans 4, Marleen A. van Baak 4, Edwin C. M. Mariman 4, Chris T. Evelo 1,5,* and Martina Kutmon 1,5,* 1 Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, 6211ER Maastricht, The Netherlands; [email protected] (I.C.W.A.); [email protected] (T.M.d.K.) 2 Department of Epidemiology, CARIM School for Cardiovascular Diseases, Maastricht University, 6211ER Maastricht, The Netherlands 3 Department of Toxicogenomics, GROW School of Oncology and Developmental Biology, Maastricht University, 6211ER Maastricht, The Netherlands 4 Department of Human Biology, NUTRIM Research School, Maastricht University, 6211ER Maastricht, The Netherlands; [email protected] (R.G.V.); [email protected] (N.J.T.R.); [email protected] (M.A.v.B.); [email protected] (E.C.M.M.) 5 Department of Bioinformatics—BiGCaT, NUTRIM Research School, Maastricht University, 6211ER Maastricht, The Netherlands * Correspondence: [email protected] (S.H.K.T.); [email protected] (M.E.A.); [email protected] (C.T.E.); [email protected] (M.K.) Received: 28 September 2018; Accepted: 22 October 2018; Published: 29 October 2018 Abstract: Obesity is a global epidemic identified as a major risk factor for multiple chronic diseases and, consequently, diet-induced weight loss is used to counter obesity. -
Metabolic Flux Analysis—Linking Isotope Labeling and Metabolic Fluxes
H OH metabolites OH Review Metabolic Flux Analysis—Linking Isotope Labeling and Metabolic Fluxes Yujue Wang 1,2, Fredric E. Wondisford 1, Chi Song 3, Teng Zhang 4 and Xiaoyang Su 1,2,* 1 Department of Medicine, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA; [email protected] (Y.W.); [email protected] (F.E.W.) 2 Metabolomics Shared Resource, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA 3 Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH 43210, USA; [email protected] 4 Department of Mathematics, University of Central Florida, Orlando, FL 32816, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-732-235-5447 Received: 14 September 2020; Accepted: 4 November 2020; Published: 6 November 2020 Abstract: Metabolic flux analysis (MFA) is an increasingly important tool to study metabolism quantitatively. Unlike the concentrations of metabolites, the fluxes, which are the rates at which intracellular metabolites interconvert, are not directly measurable. MFA uses stable isotope labeled tracers to reveal information related to the fluxes. The conceptual idea of MFA is that in tracer experiments the isotope labeling patterns of intracellular metabolites are determined by the fluxes, therefore by measuring the labeling patterns we can infer the fluxes in the network. In this review, we will discuss the basic concept of MFA using a simplified upper glycolysis network as an example. We will show how the fluxes are reflected in the isotope labeling patterns. The central idea we wish to deliver is that under metabolic and isotopic steady-state the labeling pattern of a metabolite is the flux-weighted average of the substrates’ labeling patterns.