Inhibitory Cross-Talk Upon Introduction of a New Metabolic Pathway Into an Existing Metabolic Network
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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. -
Reactome | Metabolism of Amino Acids and Derivatives (R-HSA-71291)
Metabolism of amino acids and derivatives D'Eustachio, P., Gopinathrao, G., Ito, S., Jassal, B., Jupe, S., Rush, MG., Stephan, R., Williams, MG., d'Ischia, M. European Bioinformatics Institute, New York University Langone Medical Center, Ontario Institute for Cancer Research, Oregon Health and Science University. The contents of this document may be freely copied and distributed in any media, provided the authors, plus the institutions, are credited, as stated under the terms of Creative Commons Attribution 4.0 Inter- national (CC BY 4.0) License. For more information see our license. 06/08/2021 Introduction Reactome is open-source, open access, manually curated and peer-reviewed pathway database. Pathway annotations are authored by expert biologists, in collaboration with Reactome editorial staff and cross- referenced to many bioinformatics databases. A system of evidence tracking ensures that all assertions are backed up by the primary literature. Reactome is used by clinicians, geneticists, genomics research- ers, and molecular biologists to interpret the results of high-throughput experimental studies, by bioin- formaticians seeking to develop novel algorithms for mining knowledge from genomic studies, and by systems biologists building predictive models of normal and disease variant pathways. The development of Reactome is supported by grants from the US National Institutes of Health (P41 HG003751), University of Toronto (CFREF Medicine by Design), European Union (EU STRP, EMI-CD), and the European Molecular Biology Laboratory (EBI Industry program). Literature references Fabregat, A., Sidiropoulos, K., Viteri, G., Forner, O., Marin-Garcia, P., Arnau, V. et al. (2017). Reactome pathway ana- lysis: a high-performance in-memory approach. BMC bioinformatics, 18, 142. -
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. -
PROTEOMIC ANALYSIS of HUMAN URINARY EXOSOMES. Patricia
ABSTRACT Title of Document: PROTEOMIC ANALYSIS OF HUMAN URINARY EXOSOMES. Patricia Amalia Gonzales Mancilla, Ph.D., 2009 Directed By: Associate Professor Nam Sun Wang, Department of Chemical and Biomolecular Engineering Exosomes originate as the internal vesicles of multivesicular bodies (MVBs) in cells. These small vesicles (40-100 nm) have been shown to be secreted by most cell types throughout the body. In the kidney, urinary exosomes are released to the urine by fusion of the outer membrane of the MVBs with the apical plasma membrane of renal tubular epithelia. Exosomes contain apical membrane and cytosolic proteins and can be isolated using differential centrifugation. The analysis of urinary exosomes provides a non- invasive means of acquiring information about the physiological or pathophysiological state of renal cells. The overall objective of this research was to develop methods and knowledge infrastructure for urinary proteomics. We proposed to conduct a proteomic analysis of human urinary exosomes. The first objective was to profile the proteome of human urinary exosomes using liquid chromatography-tandem spectrometry (LC- MS/MS) and specialized software for identification of peptide sequences from fragmentation spectra. We unambiguously identified 1132 proteins. In addition, the phosphoproteome of human urinary exosomes was profiled using the neutral loss scanning acquisition mode of LC-MS/MS. The phosphoproteomic profiling identified 19 phosphorylation sites corresponding to 14 phosphoproteins. The second objective was to analyze urinary exosomes samples isolated from patients with genetic mutations. Polyclonal antibodies were generated to recognize epitopes on the gene products of these genetic mutations, NKCC2 and MRP4. The potential usefulness of urinary exosome analysis was demonstrated using the well-defined renal tubulopathy, Bartter syndrome type I and using the single nucleotide polymorphism in the ABCC4 gene. -
Glycine and Serine Inhibition of D-Glycerate Dehydrogenase and 3-Phosphoglycerate Dehydrogenase of Rat Brain
Volume 17, number 1 FEBS LETTERS September 1971 GLYCINE AND SERINE INHIBITION OF D-GLYCERATE DEHYDROGENASE AND 3-PHOSPHOGLYCERATE DEHYDROGENASE OF RAT BRAIN M.L. UHR and M.K. SNEDDON Department of Physiology, Australian National University, Canberra, A.C. T. 2601, Australia Received 16 July 1971 1. Introduction 2. Materials and methods Glycine is probably a major inhibitory transmitter Barium phosphoglycerate and calcium DL-glycer- in the mammalian central nervous system [ 1,2] . ate purchased from Sigma Chemical Corporation, were Hence the metabolism and metabolic control of converted to sodium salts by passage through a glycine could be important for the efficient function- column of Dowex-SO(H?) and neutralization of the ing of nervous tissue, particularly of the spinal cord. emerging acids. Phosphoglycerate concentration was As glycine may be formed from serine by serine estimated by the method of Czok and Eckert [7]. hydroxymethylase (EC 2.1.2.1) [3] , enzymes neces- Glycerate was estimated by the method of Bartlett sary for the formation of serine from carbohydrate [8] with the concentration of chromotrophic acid sources could be important for the production and raised to 0.025% as recommended by Dawkins and regulation of glycine. Two major pathways of serine Dickens [9] . NAD was purchased from P-L Biochemi- formation have been described in mammalian sys- cals, and NADP from Sigma. tems, the “phosphoryl:ted” pathway from 3-phos- Rat cortical tissue was homogenized in 0.32 M phoglycerate [4], and the “non-phosphorylated” sucrose containing 0.5 mM dithiothreitol (DTT) and pathway from D-glycerate [5,6]. We decided there- centrifuged at 105,000 g for 100 min. -
Characterization of the Human O-Phosphoethanolamine Phospholyase, an Unconventional Pyridoxal Phosphate- Dependent -Lyase
Department of Pharmacy Laboratories of Biochemistry and Molecular Biology PhD Program in Biochemistry and Molecular Biology XXVII cycle Characterization of the human O-phosphoethanolamine phospholyase, an unconventional pyridoxal phosphate- dependent -lyase Coordinator: Prof. Andrea Mozzarelli Tutor: Prof. Alessio Peracchi PhD student: DAVIDE SCHIROLI 2012-2014 1 INDEX: Chapter 1: A subfamily of PLP-dependent enzymes specialized in handling terminal amines Abstract……………………………………………...pg.10 Introduction………………………………………….pg.11 -Nomenclature issues: subgroup-II aminotransferases, class-III ami- notransferases or -aminotransferases?..........................................pg.13 Chemical peculiarities of the reactions catalyzed by AT-II enzymes………………………………………pg.18 - Equilibria in -amine transaminase reactions……………………...pg.18 - Specificity and dual-specificity issues…………………………….…pg.22 Structural peculiarities of AT-II enzymes………...pg.23 - AT-II vs. AT-I enzymes. Comparing the overall structures………..pg.23 - AT-II vs. AT-I. Comparing the PLP-binding sites…………………...pg.25 - The substrate binding site: a gateway system in -KG-specific AT-II transaminases……………………………………………………………pg.31 - The substrate binding site: P and O pockets in pyruvate-specific AT-II transaminases………………………………………………………...….pg.35 - An overview of substrate specificity in AT-II transaminases………pg.42 2 AT-II enzymes that are not aminotransferases……….. …………………………………………………….....pg.43 Inferences on the evolution of AT-II enzymes………… ………………………………………………………..pg.47 Conclusions……………..…………………………..pg.53 -
Supplementary Materials
Supplementary Materials Figure S1. Differentially abundant spots between the mid-log phase cells grown on xylan or xylose. Red and blue circles denote spots with increased and decreased abundance respectively in the xylan growth condition. The identities of the circled spots are summarized in Table 3. Figure S2. Differentially abundant spots between the stationary phase cells grown on xylan or xylose. Red and blue circles denote spots with increased and decreased abundance respectively in the xylan growth condition. The identities of the circled spots are summarized in Table 4. S2 Table S1. Summary of the non-polysaccharide degrading proteins identified in the B. proteoclasticus cytosol by 2DE/MALDI-TOF. Protein Locus Location Score pI kDa Pep. Cov. Amino Acid Biosynthesis Acetylornithine aminotransferase, ArgD Bpr_I1809 C 1.7 × 10−4 5.1 43.9 11 34% Aspartate/tyrosine/aromatic aminotransferase Bpr_I2631 C 3.0 × 10−14 4.7 43.8 15 46% Aspartate-semialdehyde dehydrogenase, Asd Bpr_I1664 C 7.6 × 10−18 5.5 40.1 17 50% Branched-chain amino acid aminotransferase, IlvE Bpr_I1650 C 2.4 × 10−12 5.2 39.2 13 32% Cysteine synthase, CysK Bpr_I1089 C 1.9 × 10−13 5.0 32.3 18 72% Diaminopimelate dehydrogenase Bpr_I0298 C 9.6 × 10−16 5.6 35.8 16 49% Dihydrodipicolinate reductase, DapB Bpr_I2453 C 2.7 × 10−6 4.9 27.0 9 46% Glu/Leu/Phe/Val dehydrogenase Bpr_I2129 C 1.2 × 10−30 5.4 48.6 31 64% Imidazole glycerol phosphate synthase Bpr_I1240 C 8.0 × 10−3 4.7 22.5 8 44% glutamine amidotransferase subunit Ketol-acid reductoisomerase, IlvC Bpr_I1657 C 3.8 × 10−16 -
B Number Gene Name Mrna Intensity Mrna
sample) total list predicted B number Gene name assignment mRNA present mRNA intensity Gene description Protein detected - Membrane protein membrane sample detected (total list) Proteins detected - Functional category # of tryptic peptides # of tryptic peptides # of tryptic peptides detected (membrane b0002 thrA 13624 P 39 P 18 P(m) 2 aspartokinase I, homoserine dehydrogenase I Metabolism of small molecules b0003 thrB 6781 P 9 P 3 0 homoserine kinase Metabolism of small molecules b0004 thrC 15039 P 18 P 10 0 threonine synthase Metabolism of small molecules b0008 talB 20561 P 20 P 13 0 transaldolase B Metabolism of small molecules chaperone Hsp70; DNA biosynthesis; autoregulated heat shock b0014 dnaK 13283 P 32 P 23 0 proteins Cell processes b0015 dnaJ 4492 P 13 P 4 P(m) 1 chaperone with DnaK; heat shock protein Cell processes b0029 lytB 1331 P 16 P 2 0 control of stringent response; involved in penicillin tolerance Global functions b0032 carA 9312 P 14 P 8 0 carbamoyl-phosphate synthetase, glutamine (small) subunit Metabolism of small molecules b0033 carB 7656 P 48 P 17 0 carbamoyl-phosphate synthase large subunit Metabolism of small molecules b0048 folA 1588 P 7 P 1 0 dihydrofolate reductase type I; trimethoprim resistance Metabolism of small molecules peptidyl-prolyl cis-trans isomerase (PPIase), involved in maturation of b0053 surA 3825 P 19 P 4 P(m) 1 GenProt outer membrane proteins (1st module) Cell processes b0054 imp 2737 P 42 P 5 P(m) 5 GenProt organic solvent tolerance Cell processes b0071 leuD 4770 P 10 P 9 0 isopropylmalate -
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. -
Severe Child Form of Primary Hyperoxaluria Type 2
Konkoľová et al. BMC Medical Genetics (2017) 18:59 DOI 10.1186/s12881-017-0421-8 CASE REPORT Open Access Severe child form of primary hyperoxaluria type 2 - a case report revealing consequence of GRHPR deficiency on metabolism Jana Konkoľová1,2*, Ján Chandoga1,2, Juraj Kováčik3, Marcel Repiský2, Veronika Kramarová2, Ivana Paučinová3 and Daniel Böhmer1,2 Abstract Background: Primary hyperoxaluria type 2 is a rare monogenic disorder inherited in an autosomal recessive pattern. It results from the absence of the enzyme glyoxylate reductase/hydroxypyruvate reductase (GRHPR). As a consequence of deficient enzyme activity, excessive amounts of oxalate and L-glycerate are excreted in the urine, and are a source for the formation of calcium oxalate stones that result in recurrent nephrolithiasis and less frequently nephrocalcinosis. Case presentation: We report a case of a 10-month-old patient diagnosed with urolithiasis. Screening of inborn errors of metabolism, including the performance of GC/MS urine organic acid profiling and HPLC amino acid profiling, showed abnormalities, which suggested deficiency of GRHPR enzyme. Additional metabolic disturbances observed in the patient led us to seek other genetic determinants and the elucidation of these findings. Besides the elevated excretion of 3-OH-butyrate, adipic acid, which are typical marks of ketosis, other metabolites such as 3- aminoisobutyric acid, 3-hydroxyisobutyric acid, 3-hydroxypropionic acid and 2-ethyl-3-hydroxypropionic acids were observed in increased amounts in the urine. Direct sequencing of the GRHPR gene revealed novel mutation, described for the first time in this article c.454dup (p.Thr152Asnfs*39) in homozygous form. The frequent nucleotide variants were found in AGXT2 gene. -
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 -
Expanding Metabolism for Total Biosynthesis of the Nonnatural Amino Acid L-Homoalanine
Expanding metabolism for total biosynthesis of the nonnatural amino acid L-homoalanine Kechun Zhanga, Han Lib, Kwang Myung Choa, and James C. Liaoa,b,c,1 aDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095; bMolecular Biology Institute, University of California, Los Angeles, CA 90095; and cInstitute for Genomics and Proteomics, University of California, Los Angeles, CA 90095 Edited by James A. Wells, University of California, San Francisco, CA, and approved January 25, 2010 (received for review November 8, 2009) The dramatic increase in healthcare cost has become a significant L-glutamate, L-lysine, and L-threonine are produced more than burden to the world. Many patients are denied the accessibility of 2 million tons annually (5). Unlike natural amino acids, total bio- medication because of the high price of drugs. Total biosynthesis of synthesis of nonnatural amino acids from simple sugars encoun- chiral drug intermediates is an environmentally friendly approach ters significant technical challenges: First, artificial metabolic that helps provide more affordable pharmaceuticals. Here we have pathways have to be designed to expand the metabolic capability expanded the natural metabolic capability to biosynthesize a non- of cells (8); second, optimizing the designed unique metabolic natural amino acid L-homoalanine, which is a chiral precursor of pathways requires extensive protein evolution (9); third, meta- levetiracetam, brivaracetam, and ethambutol. We developed a se- bolic flux should be driven to the production of the target com- lection strategy and altered the substrate specificity of ammonium- pounds (10). We have successfully addressed these problems and assimilating enzyme glutamate dehydrogenase.