Chemoenzymatic Synthesis of 3-Ethyl-2,5
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Part One Amino Acids As Building Blocks
Part One Amino Acids as Building Blocks Amino Acids, Peptides and Proteins in Organic Chemistry. Vol.3 – Building Blocks, Catalysis and Coupling Chemistry. Edited by Andrew B. Hughes Copyright Ó 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim ISBN: 978-3-527-32102-5 j3 1 Amino Acid Biosynthesis Emily J. Parker and Andrew J. Pratt 1.1 Introduction The ribosomal synthesis of proteins utilizes a family of 20 a-amino acids that are universally coded by the translation machinery; in addition, two further a-amino acids, selenocysteine and pyrrolysine, are now believed to be incorporated into proteins via ribosomal synthesis in some organisms. More than 300 other amino acid residues have been identified in proteins, but most are of restricted distribution and produced via post-translational modification of the ubiquitous protein amino acids [1]. The ribosomally encoded a-amino acids described here ultimately derive from a-keto acids by a process corresponding to reductive amination. The most important biosynthetic distinction relates to whether appropriate carbon skeletons are pre-existing in basic metabolism or whether they have to be synthesized de novo and this division underpins the structure of this chapter. There are a small number of a-keto acids ubiquitously found in core metabolism, notably pyruvate (and a related 3-phosphoglycerate derivative from glycolysis), together with two components of the tricarboxylic acid cycle (TCA), oxaloacetate and a-ketoglutarate (a-KG). These building blocks ultimately provide the carbon skeletons for unbranched a-amino acids of three, four, and five carbons, respectively. a-Amino acids with shorter (glycine) or longer (lysine and pyrrolysine) straight chains are made by alternative pathways depending on the available raw materials. -
Structures, Functions, and Mechanisms of Filament Forming Enzymes: a Renaissance of Enzyme Filamentation
Structures, Functions, and Mechanisms of Filament Forming Enzymes: A Renaissance of Enzyme Filamentation A Review By Chad K. Park & Nancy C. Horton Department of Molecular and Cellular Biology University of Arizona Tucson, AZ 85721 N. C. Horton ([email protected], ORCID: 0000-0003-2710-8284) C. K. Park ([email protected], ORCID: 0000-0003-1089-9091) Keywords: Enzyme, Regulation, DNA binding, Nuclease, Run-On Oligomerization, self-association 1 Abstract Filament formation by non-cytoskeletal enzymes has been known for decades, yet only relatively recently has its wide-spread role in enzyme regulation and biology come to be appreciated. This comprehensive review summarizes what is known for each enzyme confirmed to form filamentous structures in vitro, and for the many that are known only to form large self-assemblies within cells. For some enzymes, studies describing both the in vitro filamentous structures and cellular self-assembly formation are also known and described. Special attention is paid to the detailed structures of each type of enzyme filament, as well as the roles the structures play in enzyme regulation and in biology. Where it is known or hypothesized, the advantages conferred by enzyme filamentation are reviewed. Finally, the similarities, differences, and comparison to the SgrAI system are also highlighted. 2 Contents INTRODUCTION…………………………………………………………..4 STRUCTURALLY CHARACTERIZED ENZYME FILAMENTS…….5 Acetyl CoA Carboxylase (ACC)……………………………………………………………………5 Phosphofructokinase (PFK)……………………………………………………………………….6 -
Generated by SRI International Pathway Tools Version 25.0, Authors S
Authors: Pallavi Subhraveti Ron Caspi Quang Ong Peter D Karp 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. Ingrid Keseler Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Gcf_000725805Cyc: Streptomyces xanthophaeus Cellular Overview Connections between pathways are omitted for legibility. -
Generated by SRI International Pathway Tools Version 25.0, Authors S
Authors: Pallavi Subhraveti Ron Caspi Peter Midford Peter D Karp 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. Ingrid Keseler Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Gcf_001463765Cyc: Aureimonas sp. AU4 Cellular Overview Connections between pathways are omitted for legibility. Anamika Kothari lipid II (meso diaminopimelate containing) FtsW HtpX MntH RS14400 lipid II (meso diaminopimelate containing) Hormone Biosynthesis Polyprenyl Biosynthesis Polymeric Aldehyde Degradation glutaminyl-tRNA gln Aminoacyl-tRNA Charging Macromolecule Modification tRNA-uridine 2-thiolation Compound N 6 -(3-methylbut- a [protein]- 4-methyl-5-(2- a [protein]-L- L-rhamnulose a [protein]-L- biosynthesis via transamidation and selenation (bacteria) Degradation a sulfurated + an L-cysteinyl- indole-3-acetate di-trans,poly-cis methylglyoxal degradation I 2-en-1-yl)- adenosylcobinamide a purine 2-oxoglutarate NADPH NAD a [glutamine- phosphooxyethyl) glutamate-O 5 L-aspartate ATP HMP-PP 1-phosphate Cys ATP methionine Tetrapyrrole Biosynthesis [sulfur carrier] 37 synthetase]- [tRNA ] biosynthesis -undecaprenyl muropeptide adenosine ribonucleoside thiazole -methyl-ester biotin peptide- cys 5'-triphosphate -
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. -
Genetic Basis for Plasma Amino Acid Concentrations Based on Absolute Quantification: a Genome-Wide Association Study in the Japa
European Journal of Human Genetics https://doi.org/10.1038/s41431-018-0296-y ARTICLE Genetic basis for plasma amino acid concentrations based on absolute quantification: a genome-wide association study in the Japanese population 1 1 2 2,3 2 Akira Imaizumi ● Yusuke Adachi ● Takahisa Kawaguchi ● Koichiro Higasa ● Yasuharu Tabara ● 2,4 4 2 1 1 Kazuhiro Sonomura ● Taka-aki Sato ● Meiko Takahashi ● Toshimi Mizukoshi ● Hiro-o Yoshida ● 1 1 1 1 1 5 Naoko Kageyama ● Chisato Okamoto ● Mariko Takasu ● Maiko Mori ● Yasushi Noguchi ● Nobuhisa Shimba ● 1 2 2 Hiroshi Miyano ● Ryo Yamada ● Fumihiko Matsuda Received: 5 March 2018 / Revised: 15 October 2018 / Accepted: 25 October 2018 © The Author(s) 2019. This article is published with open access Abstract To assess the use of plasma free amino acids (PFAAs) as biomarkers for metabolic disorders, it is essential to identify genetic factors that influence PFAA concentrations. PFAA concentrations were absolutely quantified by liquid chromatography–mass spectrometry using plasma samples from 1338 Japanese individuals, and genome-wide quantitative 1234567890();,: 1234567890();,: trait locus (QTL) analysis was performed for the concentrations of 21 PFAAs. We next conducted a conditional QTL analysis using the concentration of each PFAA adjusted by the other 20 PFAAs as covariates to elucidate genetic determinants that influence PFAA concentrations. We identified eight genes that showed a significant association with PFAA concentrations, of which two, SLC7A2 and PKD1L2, were identified. SLC7A2 was associated with the plasma levels of arginine and ornithine, and PKD1L2 with the level of glycine. The significant associations of these two genes were revealed in the conditional QTL analysis, but a significant association between serine and the CPS1 gene disappeared when glycine was used as a covariate. -
Fmicb-07-01854
Temporal Metagenomic and Metabolomic Characterization of Fresh Perennial Ryegrass Degradation by Rumen Bacteria Mayorga, O. L., Kingston-Smith, A. H., Kim, E. J., Allison, G. G., Wilkinson, T. J., Hegarty, M. J., Theodorou, M. K., Newbold, C. J., & Huws, S. A. (2016). Temporal Metagenomic and Metabolomic Characterization of Fresh Perennial Ryegrass Degradation by Rumen Bacteria. Frontiers in Microbiology, 7, 1854. https://doi.org/10.3389/fmicb.2016.01854 Published in: Frontiers in Microbiology Document Version: Publisher's PDF, also known as Version of record Queen's University Belfast - Research Portal: Link to publication record in Queen's University Belfast Research Portal Publisher rights Copyright 2017 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. General rights Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the Research Portal that you believe breaches copyright or violates any law, please contact [email protected]. Download date:07. -
Generate Metabolic Map Poster
Authors: Zheng Zhao, Delft University of Technology Marcel A. van den Broek, Delft University of Technology S. Aljoscha Wahl, Delft University of Technology Wilbert H. Heijne, DSM Biotechnology Center Roel A. Bovenberg, DSM Biotechnology Center Joseph J. Heijnen, Delft University of Technology 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. Marco A. van den Berg, DSM Biotechnology Center Peter J.T. Verheijen, Delft University of Technology Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. PchrCyc: Penicillium rubens Wisconsin 54-1255 Cellular Overview Connections between pathways are omitted for legibility. Liang Wu, DSM Biotechnology Center Walter M. van Gulik, Delft University of Technology L-quinate phosphate a sugar a sugar a sugar a sugar multidrug multidrug a dicarboxylate phosphate a proteinogenic 2+ 2+ + met met nicotinate Mg Mg a cation a cation K + L-fucose L-fucose L-quinate L-quinate L-quinate ammonium UDP ammonium ammonium H O pro met amino acid a sugar a sugar a sugar a sugar a sugar a sugar a sugar a sugar a sugar a sugar a sugar K oxaloacetate L-carnitine L-carnitine L-carnitine 2 phosphate quinic acid brain-specific hypothetical hypothetical hypothetical hypothetical -
B Number Gene Name Strand Orientation Protein Length Mrna
list list sample) short list predicted B number Operon ID Gene name assignment Protein length mRNA present mRNA intensity Gene description Protein detected - Strand orientation Membrane protein detected (total list) detected (long list) membrane sample Proteins detected - detected (short list) # of tryptic peptides # of tryptic peptides # of tryptic peptides # of tryptic peptides # of tryptic peptides Functional category detected (membrane Protein detected - total Protein detected - long b0001 thrL + 21 1344 P 1 0 0 0 0 thr operon leader peptide Metabolism of small molecules 1 b0002 thrA + 820 13624 P 39 P 18 P 18 P 18 P(m) 2 aspartokinase I, homoserine dehydrogenase I Metabolism of small molecules 1 b0003 thrB + 310 6781 P 9 P 3 3 P 3 0 homoserine kinase Metabolism of small molecules 1 b0004 thrC + 428 15039 P 18 P 10 P 11 P 10 0 threonine synthase Metabolism of small molecules 1 b0005 b0005 + 98 432 A 5 0 0 0 0 orf, hypothetical protein Open reading frames 2 b0006 yaaA - 258 1047 P 11 P 1 2 P 1 0 orf, hypothetical protein Open reading frames 3 b0007 yaaJ - 476 342 P 8 0 0 0 0 MP-GenProt-PHD inner membrane transport protein Miscellaneous 4 b0008 talB + 317 20561 P 20 P 13 P 16 P 13 0 transaldolase B Metabolism of small molecules 5 b0009 mog + 195 1296 P 7 0 0 0 0 required for the efficient incorporation of molybdate into molybdoproteins Metabolism of small molecules 6 b0010 yaaH - 188 407 A 2 0 0 0 0 PHD orf, hypothetical protein Open reading frames 7 b0011 b0011 - 237 338 P 13 0 0 0 0 putative oxidoreductase Miscellaneous 8 b0012 htgA -
O O2 Enzymes Available from Sigma Enzymes Available from Sigma
COO 2.7.1.15 Ribokinase OXIDOREDUCTASES CONH2 COO 2.7.1.16 Ribulokinase 1.1.1.1 Alcohol dehydrogenase BLOOD GROUP + O O + O O 1.1.1.3 Homoserine dehydrogenase HYALURONIC ACID DERMATAN ALGINATES O-ANTIGENS STARCH GLYCOGEN CH COO N COO 2.7.1.17 Xylulokinase P GLYCOPROTEINS SUBSTANCES 2 OH N + COO 1.1.1.8 Glycerol-3-phosphate dehydrogenase Ribose -O - P - O - P - O- Adenosine(P) Ribose - O - P - O - P - O -Adenosine NICOTINATE 2.7.1.19 Phosphoribulokinase GANGLIOSIDES PEPTIDO- CH OH CH OH N 1 + COO 1.1.1.9 D-Xylulose reductase 2 2 NH .2.1 2.7.1.24 Dephospho-CoA kinase O CHITIN CHONDROITIN PECTIN INULIN CELLULOSE O O NH O O O O Ribose- P 2.4 N N RP 1.1.1.10 l-Xylulose reductase MUCINS GLYCAN 6.3.5.1 2.7.7.18 2.7.1.25 Adenylylsulfate kinase CH2OH HO Indoleacetate Indoxyl + 1.1.1.14 l-Iditol dehydrogenase L O O O Desamino-NAD Nicotinate- Quinolinate- A 2.7.1.28 Triokinase O O 1.1.1.132 HO (Auxin) NAD(P) 6.3.1.5 2.4.2.19 1.1.1.19 Glucuronate reductase CHOH - 2.4.1.68 CH3 OH OH OH nucleotide 2.7.1.30 Glycerol kinase Y - COO nucleotide 2.7.1.31 Glycerate kinase 1.1.1.21 Aldehyde reductase AcNH CHOH COO 6.3.2.7-10 2.4.1.69 O 1.2.3.7 2.4.2.19 R OPPT OH OH + 1.1.1.22 UDPglucose dehydrogenase 2.4.99.7 HO O OPPU HO 2.7.1.32 Choline kinase S CH2OH 6.3.2.13 OH OPPU CH HO CH2CH(NH3)COO HO CH CH NH HO CH2CH2NHCOCH3 CH O CH CH NHCOCH COO 1.1.1.23 Histidinol dehydrogenase OPC 2.4.1.17 3 2.4.1.29 CH CHO 2 2 2 3 2 2 3 O 2.7.1.33 Pantothenate kinase CH3CH NHAC OH OH OH LACTOSE 2 COO 1.1.1.25 Shikimate dehydrogenase A HO HO OPPG CH OH 2.7.1.34 Pantetheine kinase UDP- TDP-Rhamnose 2 NH NH NH NH N M 2.7.1.36 Mevalonate kinase 1.1.1.27 Lactate dehydrogenase HO COO- GDP- 2.4.1.21 O NH NH 4.1.1.28 2.3.1.5 2.1.1.4 1.1.1.29 Glycerate dehydrogenase C UDP-N-Ac-Muramate Iduronate OH 2.4.1.1 2.4.1.11 HO 5-Hydroxy- 5-Hydroxytryptamine N-Acetyl-serotonin N-Acetyl-5-O-methyl-serotonin Quinolinate 2.7.1.39 Homoserine kinase Mannuronate CH3 etc. -
Product Information Sheet for NR-19680
Product Information Sheet for NR-19680 Vibrio cholerae Gateway® Clone Set, Growth Conditions: Media: Recombinant in Escherichia coli, Plate 2 LB broth or agar containing 50 µg/mL kanamycin Incubation: Catalog No. NR-19680 Temperature: E. coli, strain DH10B-T1 clones should be This reagent is the tangible property of the U.S. Government. grown at 37°C. Atmosphere: Aerobic For research use only. Not for human use. Propagation: 1. Scrape top of frozen well with a pipette tip and streak onto Contributor: agar plate. Pathogen Functional Genomics Resource Center at the J. 2. Incubate the plates at 37°C for 1 day. Craig Venter Institute Citation: Manufacturer: Acknowledgment for publications should read “The following BEI Resources reagent was obtained through BEI Resources, NIAID, NIH: ® Vibrio cholerae Gateway Clone Set, Recombinant in Product Description: Escherichia coli, Plate 2, NR-19680.” Production in the 96-well format has increased risk of cross- contamination between adjacent wells. Individual clones Biosafety Level: 1 should be purified (e.g. single colony isolation and purification Appropriate safety procedures should always be used with this using good microbiological practices) and sequence-verified material. Laboratory safety is discussed in the following prior to use. BEI Resources does not confirm or validate publication: U.S. Department of Health and Human Services, individual mutants provided by the contributor. Public Health Service, Centers for Disease Control and Prevention, and National Institutes of Health. Biosafety in The Vibrio cholerae (V. cholerae) Gateway® clone set Microbiological and Biomedical Laboratories. 5th ed. consists of 46 plates which contain 3813 sequence validated Washington, DC: U.S. -
Endogenous Synthesis of Glycine From
ENDOGENOUS SYNTHESIS OF GLYCINE FROM HYDROXYPROLINE IN NEONATAL PIGS A Dissertation by SHENGDI HU Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Chair of Committee, Guoyao Wu Committee Members, Fuller W. Bazer Yanan Tian Annie Newell-Fugate Head of Department, G. Cliff Lamb December 2017 Major Subject: Animal Science Copyright 2017 Shengdi Hu ABSTRACT This study was conducted to test the hypothesis that hydroxyproline is a novel and major substrate for endogenous synthesis of glycine in sow-reared pigs. At 0, 7, 14, and 21 days of age, neonatal piglets with a normal or low birth weight (BW) were sacrificed, and their tissue samples were obtained for metabolic studies, activities of glycine-synthetic enzymes, mRNA expression, and the localization of proteins for those enzymes. Moreover, normal and IUGR piglets received oral administration of glycine (0.2, 0.4, and 0.8 g/kg BW) between days 0 and 14 to evaluate a role for endogenous synthesis of glycine in the growth of piglets. Results from the studies of normal birth-weight piglets demonstrated that the activities of hydroxyproline oxidase (OH-POX), proline oxidase (POX), alanine:glyoxylate transaminase (AGT), and 4-hydroxy-2-oxoglutarate aldolase (HOA), key enzymes for glycine synthesis from hydroxyproline, decreased in the liver and kidneys between postnatal day 0 and day 21, but increased in the pancreas and small intestine over the same period of time (P < 0.05). Similar results were obtained for expression of mRNAs for those enzymes.