Electrostatic Transition State Stabilization Rather Than Reactant Destabilization Provides the Chemical Basis for Efficient Chorismate Mutase Catalysis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Articles Catalytic Cycling in Β-Phosphoglucomutase: a Kinetic
9404 Biochemistry 2005, 44, 9404-9416 Articles Catalytic Cycling in â-Phosphoglucomutase: A Kinetic and Structural Analysis†,‡ Guofeng Zhang, Jianying Dai, Liangbing Wang, and Debra Dunaway-Mariano* Department of Chemistry, UniVersity of New Mexico, Albuquerque, New Mexico 87131-0001 Lee W. Tremblay and Karen N. Allen* Department of Physiology and Biophysics, Boston UniVersity School of Medicine, Boston, Massachusetts 02118-2394 ReceiVed March 26, 2005; ReVised Manuscript ReceiVed May 18, 2005 ABSTRACT: Lactococcus lactis â-phosphoglucomutase (â-PGM) catalyzes the interconversion of â-D-glucose 1-phosphate (â-G1P) and â-D-glucose 6-phosphate (G6P), forming â-D-glucose 1,6-(bis)phosphate (â- G16P) as an intermediate. â-PGM conserves the core domain catalytic scaffold of the phosphatase branch of the HAD (haloalkanoic acid dehalogenase) enzyme superfamily, yet it has evolved to function as a mutase rather than as a phosphatase. This work was carried out to identify the structural basis underlying this diversification of function. In this paper, we examine â-PGM activation by the Mg2+ cofactor, â-PGM activation by Asp8 phosphorylation, and the role of cap domain closure in substrate discrimination. First, the 1.90 Å resolution X-ray crystal structure of the Mg2+-â-PGM complex is examined in the context of + + previously reported structures of the Mg2 -R-D-galactose-1-phosphate-â-PGM, Mg2 -phospho-â-PGM, and Mg2+-â-glucose-6-phosphate-1-phosphorane-â-PGM complexes to identify conformational changes that occur during catalytic turnover. The essential role of Asp8 in nucleophilic catalysis was confirmed by demonstrating that the D8A and D8E mutants are devoid of catalytic activity. -
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 -
Expression of a Phosphoglucomutase Gene in Rainbow Trout (Polymorphism/Developmental Rate/Glycolysis/Salmo Gairdneri) FRED W
Proc. Natt Acad. Sci. USA Vol. 80, pp. 1397-1400, March 1983 Genetics Adaptive significance of differences in the tissue-specific expression of a phosphoglucomutase gene in rainbow trout (polymorphism/developmental rate/glycolysis/Salmo gairdneri) FRED W. ALLENDORF, KATHY L. KNUDSEN, AND ROBB F. LEARY Department of Zoology,, University of Montana, Missoula, Montana 59812 Communicated by G. Ledyard Stebbins, November 17, 1982 ABSTRACT We have investigated the phenotypic effects of fold increase in the expression of a phosphoglucomutase (PGM; a mutant allele that results in the expression of a phosphogluco- a-D-glucose-1,6-bisphosphate:a-D-glucose-l-phosphate phos- mutase locus (Pgml) in the liver of rainbow trout. Embryos with photransferase EC 2.7.5. 1) locus, Pgml, in liver tissue (14, 15). liver Pgml expression hatch earlier than embryos without liver The results of inheritance experiments are consistent with a sin- Pgml expression. These differences apparently result from in- gle regulatory gene, Pgml-t, with additive inheritance being re- creased flux through glycolysis in embryos with liver PGM1 ac- sponsible for the differences in the expression of this locus (15). tivity while they are dependent on the yolk for energy. Fish with We report here that the presence or absence of PGM1 in the liver PGM1 activity are also more developmentally buffered, as liver rise to indicated by less fluctuating asymmetry of five bilateral meristic gives important differences in several phenotypic traits. The more rapidly developing individuals begin exogenous characteristics of adaptive significance (developmental rate, de- feeding earlier and achieve a size advantage that is maintained velopmental stability, body size, and age at first maturity). -
Exploring the Chemistry and Evolution of the Isomerases
Exploring the chemistry and evolution of the isomerases Sergio Martínez Cuestaa, Syed Asad Rahmana, and Janet M. Thorntona,1 aEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom Edited by Gregory A. Petsko, Weill Cornell Medical College, New York, NY, and approved January 12, 2016 (received for review May 14, 2015) Isomerization reactions are fundamental in biology, and isomers identifier serves as a bridge between biochemical data and ge- usually differ in their biological role and pharmacological effects. nomic sequences allowing the assignment of enzymatic activity to In this study, we have cataloged the isomerization reactions known genes and proteins in the functional annotation of genomes. to occur in biology using a combination of manual and computa- Isomerases represent one of the six EC classes and are subdivided tional approaches. This method provides a robust basis for compar- into six subclasses, 17 sub-subclasses, and 245 EC numbers cor- A ison and clustering of the reactions into classes. Comparing our responding to around 300 biochemical reactions (Fig. 1 ). results with the Enzyme Commission (EC) classification, the standard Although the catalytic mechanisms of isomerases have already approach to represent enzyme function on the basis of the overall been partially investigated (3, 12, 13), with the flood of new data, an integrated overview of the chemistry of isomerization in bi- chemistry of the catalyzed reaction, expands our understanding of ology is timely. This study combines manual examination of the the biochemistry of isomerization. The grouping of reactions in- chemistry and structures of isomerases with recent developments volving stereoisomerism is straightforward with two distinct types cis-trans in the automatic search and comparison of reactions. -
(10) Patent No.: US 8119385 B2
US008119385B2 (12) United States Patent (10) Patent No.: US 8,119,385 B2 Mathur et al. (45) Date of Patent: Feb. 21, 2012 (54) NUCLEICACIDS AND PROTEINS AND (52) U.S. Cl. ........................................ 435/212:530/350 METHODS FOR MAKING AND USING THEMI (58) Field of Classification Search ........................ None (75) Inventors: Eric J. Mathur, San Diego, CA (US); See application file for complete search history. Cathy Chang, San Diego, CA (US) (56) References Cited (73) Assignee: BP Corporation North America Inc., Houston, TX (US) OTHER PUBLICATIONS c Mount, Bioinformatics, Cold Spring Harbor Press, Cold Spring Har (*) Notice: Subject to any disclaimer, the term of this bor New York, 2001, pp. 382-393.* patent is extended or adjusted under 35 Spencer et al., “Whole-Genome Sequence Variation among Multiple U.S.C. 154(b) by 689 days. Isolates of Pseudomonas aeruginosa” J. Bacteriol. (2003) 185: 1316 1325. (21) Appl. No.: 11/817,403 Database Sequence GenBank Accession No. BZ569932 Dec. 17. 1-1. 2002. (22) PCT Fled: Mar. 3, 2006 Omiecinski et al., “Epoxide Hydrolase-Polymorphism and role in (86). PCT No.: PCT/US2OO6/OOT642 toxicology” Toxicol. Lett. (2000) 1.12: 365-370. S371 (c)(1), * cited by examiner (2), (4) Date: May 7, 2008 Primary Examiner — James Martinell (87) PCT Pub. No.: WO2006/096527 (74) Attorney, Agent, or Firm — Kalim S. Fuzail PCT Pub. Date: Sep. 14, 2006 (57) ABSTRACT (65) Prior Publication Data The invention provides polypeptides, including enzymes, structural proteins and binding proteins, polynucleotides US 201O/OO11456A1 Jan. 14, 2010 encoding these polypeptides, and methods of making and using these polynucleotides and polypeptides. -
The Microbiota-Produced N-Formyl Peptide Fmlf Promotes Obesity-Induced Glucose
Page 1 of 230 Diabetes Title: The microbiota-produced N-formyl peptide fMLF promotes obesity-induced glucose intolerance Joshua Wollam1, Matthew Riopel1, Yong-Jiang Xu1,2, Andrew M. F. Johnson1, Jachelle M. Ofrecio1, Wei Ying1, Dalila El Ouarrat1, Luisa S. Chan3, Andrew W. Han3, Nadir A. Mahmood3, Caitlin N. Ryan3, Yun Sok Lee1, Jeramie D. Watrous1,2, Mahendra D. Chordia4, Dongfeng Pan4, Mohit Jain1,2, Jerrold M. Olefsky1 * Affiliations: 1 Division of Endocrinology & Metabolism, Department of Medicine, University of California, San Diego, La Jolla, California, USA. 2 Department of Pharmacology, University of California, San Diego, La Jolla, California, USA. 3 Second Genome, Inc., South San Francisco, California, USA. 4 Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. * Correspondence to: 858-534-2230, [email protected] Word Count: 4749 Figures: 6 Supplemental Figures: 11 Supplemental Tables: 5 1 Diabetes Publish Ahead of Print, published online April 22, 2019 Diabetes Page 2 of 230 ABSTRACT The composition of the gastrointestinal (GI) microbiota and associated metabolites changes dramatically with diet and the development of obesity. Although many correlations have been described, specific mechanistic links between these changes and glucose homeostasis remain to be defined. Here we show that blood and intestinal levels of the microbiota-produced N-formyl peptide, formyl-methionyl-leucyl-phenylalanine (fMLF), are elevated in high fat diet (HFD)- induced obese mice. Genetic or pharmacological inhibition of the N-formyl peptide receptor Fpr1 leads to increased insulin levels and improved glucose tolerance, dependent upon glucagon- like peptide-1 (GLP-1). Obese Fpr1-knockout (Fpr1-KO) mice also display an altered microbiome, exemplifying the dynamic relationship between host metabolism and microbiota. -
TABLE S3 Clusters of Gene Ontology Groups and Their Associated Genes
TABLE S3 Clusters of gene ontology groups and their associated genes found altered with Colchicine resistance (KB-8-5 vs KB-3-1) Annereau J-P, Szakacs G, Tucker CJ, Arciello A, Cardarelli C, Collins J, Grissom S, Zeeberg B, Reinhold W, Weinstein J, Pommier Y, Paules RS, and Gottesman MM (2004) Analysis of ABC transporter expression in drug-selected cell lines by a microarray dedicated to multidrug resistance. Mol Pharmacol doi:10.1124/mol.104.005009. a Gene Ontology subgroups and references HUGO HUGO gene description Antigen presentation GO:0030333 antigen_processing HLA-E + major histocompatibility complex, class i, e GO:0030106 MHC_class_I_receptor_activity HLA-C + major histocompatibility complex, class i, c GO:0019885 antigen_processing,_endogenous_antigen_via_MHC_class_I HLA-B + major histocompatibility complex, class i, b GO:0019883 antigen_presentation,_endogenous_antigen HLA-A + major histocompatibility complex, class i, a GO:0019882 antigen_presentation B2M + beta-2-microglobulin Metabolism of carbonhydrate ALDOA - fructose-bisphosphate aldolase a GO:0019320 tricarboxylic_acid_cycle ATP5J - atp synthase, h+ transporting, mitochondrial GO:0006007 monosaccharide_metabolism COX6C - cytochrome c oxidase, subunit vic GO:0046365 monosaccharide_catabolism DLD - dihydrolipoamide dehydrogenase, phe3 GO:0046164 main_pathways_of_carbohydrate_metabolism G6PD - glucose-6-phosphate dehydrogenase GO:0019320 hexose_metabolism GAPD - glyceraldehyde-3-phosphate dehydrogenase GO:0019318 hexose_catabolism HDLBP - high density lipoprotein binding -
Supplementary Information
Supplementary information (a) (b) Figure S1. Resistant (a) and sensitive (b) gene scores plotted against subsystems involved in cell regulation. The small circles represent the individual hits and the large circles represent the mean of each subsystem. Each individual score signifies the mean of 12 trials – three biological and four technical. The p-value was calculated as a two-tailed t-test and significance was determined using the Benjamini-Hochberg procedure; false discovery rate was selected to be 0.1. Plots constructed using Pathway Tools, Omics Dashboard. Figure S2. Connectivity map displaying the predicted functional associations between the silver-resistant gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S3. Connectivity map displaying the predicted functional associations between the silver-sensitive gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S4. Metabolic overview of the pathways in Escherichia coli. The pathways involved in silver-resistance are coloured according to respective normalized score. Each individual score represents the mean of 12 trials – three biological and four technical. Amino acid – upward pointing triangle, carbohydrate – square, proteins – diamond, purines – vertical ellipse, cofactor – downward pointing triangle, tRNA – tee, and other – circle. -
Amino Acid Residue. Chorismate Mutase by Variation of a Single
Modulation of the allosteric equilibrium of yeast chorismate mutase by variation of a single amino acid residue. R Graf, Y Dubaquié and G H Braus J. Bacteriol. 1995, 177(6):1645. Downloaded from Updated information and services can be found at: http://jb.asm.org/content/177/6/1645 These include: CONTENT ALERTS Receive: RSS Feeds, eTOCs, free email alerts (when new articles cite this article), more» http://jb.asm.org/ on March 22, 2013 by guest Information about commercial reprint orders: http://journals.asm.org/site/misc/reprints.xhtml To subscribe to to another ASM Journal go to: http://journals.asm.org/site/subscriptions/ JOURNAL OF BACTERIOLOGY, Mar. 1995, p. 1645–1648 Vol. 177, No. 6 0021-9193/95/$04.0010 Copyright q 1995, American Society for Microbiology Modulation of the Allosteric Equilibrium of Yeast Chorismate Mutase by Variation of a Single Amino Acid Residue RONEY GRAF,† YVES DUBAQUIE´,‡ AND GERHARD H. BRAUS* Institut fu¨r Mikrobiologie, Biochemie & Genetik, Friedrich-Alexander Universita¨t Erlangen-Nu¨rnberg, D-91058 Erlangen, Germany Received 26 September 1994/Accepted 11 January 1995 Chorismate mutase (EC 5.4.99.5) from the yeast Saccharomyces cerevisiae is an allosteric enzyme which can be locked in its active R (relaxed) state by a single threonine-to-isoleucine exchange at position 226. Seven new replacements of residue 226 reveal that this position is able to direct the enzyme’s allosteric equilibrium, without interfering with the catalytic constant or the affinity for the activator. Downloaded from Chorismate is the last common precursor of the amino acids amino acid 226 of yeast chorismate mutase to glycine and tyrosine, phenylalanine, and tryptophan and an important in- alanine (small), aspartate and arginine (charged), serine (hy- termediate in the biosynthesis of other aromatic compounds in drophilic, similar to the wild-type threonine), cysteine (sulfur fungi, bacteria, and plants (9). -
MITOCW | Watch?V=Vl E7ik Vbs
MITOCW | watch?v=vL_E7Ik_vBs The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. DR. BOGDAN Hello, and welcome to 5.07 Biochemistry online. I'm Dr. Bogdan Fedeles. Let's metabolize FEDELES: some problems. Today we're discussing problem 2 of problem set 6. Here we're going to explore in more detail the mechanism of phosphoglycerate mutase, which is the eighth enzyme in glycolysis. It's the enzyme that catalyzes the conversion of 3-phosphoglycerate to 2-phosphoglycerate. Generally speaking, mutases are enzymes that catalyze the shift of a functional group between two similar positions of a molecule. In the case of phosphoglycerate mutase, this enzyme catalyzes the transfer of the phosphate group from the 3 position of glycerate to the 2 position of glycerate. In 5.07, you will encounter several mutases. Similar to phosphoglycerate mutase, there is a bisphosphoglycerate mutase, which converts 1,3-bisphosphoglycerate to 2,3-bisphosphoglycerate. Now, this reaction is very important when it happens in the red blood cells. Another mutase you will encounter is in the glycogen breakdown pathway. It's called phosphoglucomutase and converts glucose 1-phosphate to glucose 6-phosphate. Now finally, the most intriguing of them all is the methylmalonyl-coa mutase, which is a fascinating enzyme that converts methylmalonyl-coA to succinyl-coA. In this reaction, it rearranges this carbon skeleton of the molecule, and it requires adenosylcobalamin, which is a co-factor derived from vitamin B12. -
Mechanisms of Interaction Between Haemophilus Parainfluenzae and Streptococcus Mitis
University of Rhode Island DigitalCommons@URI Open Access Dissertations 2021 MECHANISMS OF INTERACTION BETWEEN HAEMOPHILUS PARAINFLUENZAE AND STREPTOCOCCUS MITIS Dasith Perera Follow this and additional works at: https://digitalcommons.uri.edu/oa_diss MECHANISMS OF INTERACTION BETWEEN HAEMOPHILUS PARAINFLUENZAE AND STREPTOCOCCUS MITIS BY DASITH PERERA A DISSERTATION SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN CELL & MOLECULAR BIOLOGY UNIVERSITY OF RHODE ISLAND 2021 DOCTOR OF PHILOSOPHY DISSERTATION OF DASITH PERERA APPROVED: Thesis Committee: Matthew Ramsey, Major professor David Nelson David Rowley Brenton DeBoef DEAN OF THE GRADUATE SCHOOL UNIVERSITY OF RHODE ISLAND 2021 ABSTRACT The human oral cavity is a complex polymicrobial environment, home to an array of microbes that play roles in health and disease. Oral bacteria have been shown to cause an array of systemic diseases and are particularly concerning to type II diabetics (T2D) with numerous predispositions that exacerbate bacterial infection. In this dissertation, we investigated the serum of healthy subjects and T2D subjects to determine whether we see greater translocation of oral bacteria into the bloodstream of T2D indiviDuals. We didn’t observe any significant enrichment of oral taxa, however we detected the presence of an emerging pathogen, Acinetobacter baumannii that is also associated with impaired inflammation in T2D. While some are associated with disease, many oral taxa are important in the pre- vention of disease. In this dissertation we investigated the interactions between two abundant health-associated commensal microbes, Haemophilus parainfluenzae and Streptococcus mitis. We demonstrated that H. parainfluenzae typically exists adjacent to Mitis group streptococci in vivo in healthy subjects. -
Supplementary Informations SI2. Supplementary Table 1
Supplementary Informations SI2. Supplementary Table 1. M9, soil, and rhizosphere media composition. LB in Compound Name Exchange Reaction LB in soil LBin M9 rhizosphere H2O EX_cpd00001_e0 -15 -15 -10 O2 EX_cpd00007_e0 -15 -15 -10 Phosphate EX_cpd00009_e0 -15 -15 -10 CO2 EX_cpd00011_e0 -15 -15 0 Ammonia EX_cpd00013_e0 -7.5 -7.5 -10 L-glutamate EX_cpd00023_e0 0 -0.0283302 0 D-glucose EX_cpd00027_e0 -0.61972444 -0.04098397 0 Mn2 EX_cpd00030_e0 -15 -15 -10 Glycine EX_cpd00033_e0 -0.0068175 -0.00693094 0 Zn2 EX_cpd00034_e0 -15 -15 -10 L-alanine EX_cpd00035_e0 -0.02780553 -0.00823049 0 Succinate EX_cpd00036_e0 -0.0056245 -0.12240603 0 L-lysine EX_cpd00039_e0 0 -10 0 L-aspartate EX_cpd00041_e0 0 -0.03205557 0 Sulfate EX_cpd00048_e0 -15 -15 -10 L-arginine EX_cpd00051_e0 -0.0068175 -0.00948672 0 L-serine EX_cpd00054_e0 0 -0.01004986 0 Cu2+ EX_cpd00058_e0 -15 -15 -10 Ca2+ EX_cpd00063_e0 -15 -100 -10 L-ornithine EX_cpd00064_e0 -0.0068175 -0.00831712 0 H+ EX_cpd00067_e0 -15 -15 -10 L-tyrosine EX_cpd00069_e0 -0.0068175 -0.00233919 0 Sucrose EX_cpd00076_e0 0 -0.02049199 0 L-cysteine EX_cpd00084_e0 -0.0068175 0 0 Cl- EX_cpd00099_e0 -15 -15 -10 Glycerol EX_cpd00100_e0 0 0 -10 Biotin EX_cpd00104_e0 -15 -15 0 D-ribose EX_cpd00105_e0 -0.01862144 0 0 L-leucine EX_cpd00107_e0 -0.03596182 -0.00303228 0 D-galactose EX_cpd00108_e0 -0.25290619 -0.18317325 0 L-histidine EX_cpd00119_e0 -0.0068175 -0.00506825 0 L-proline EX_cpd00129_e0 -0.01102953 0 0 L-malate EX_cpd00130_e0 -0.03649016 -0.79413596 0 D-mannose EX_cpd00138_e0 -0.2540567 -0.05436649 0 Co2 EX_cpd00149_e0