Transamination As a Side-Reaction Catalyzed by Alanine Racemase of Bacillus Stearothermophilus 1
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METABOLIC EVOLUTION in GALDIERIA SULPHURARIA By
METABOLIC EVOLUTION IN GALDIERIA SULPHURARIA By CHAD M. TERNES Bachelor of Science in Botany Oklahoma State University Stillwater, Oklahoma 2009 Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial fulfillment of the requirements for the Degree of DOCTOR OF PHILOSOPHY May, 2015 METABOLIC EVOLUTION IN GALDIERIA SUPHURARIA Dissertation Approved: Dr. Gerald Schoenknecht Dissertation Adviser Dr. David Meinke Dr. Andrew Doust Dr. Patricia Canaan ii Name: CHAD M. TERNES Date of Degree: MAY, 2015 Title of Study: METABOLIC EVOLUTION IN GALDIERIA SULPHURARIA Major Field: PLANT SCIENCE Abstract: The thermoacidophilic, unicellular, red alga Galdieria sulphuraria possesses characteristics, including salt and heavy metal tolerance, unsurpassed by any other alga. Like most plastid bearing eukaryotes, G. sulphuraria can grow photoautotrophically. Additionally, it can also grow solely as a heterotroph, which results in the cessation of photosynthetic pigment biosynthesis. The ability to grow heterotrophically is likely correlated with G. sulphuraria ’s broad capacity for carbon metabolism, which rivals that of fungi. Annotation of the metabolic pathways encoded by the genome of G. sulphuraria revealed several pathways that are uncharacteristic for plants and algae, even red algae. Phylogenetic analyses of the enzymes underlying the metabolic pathways suggest multiple instances of horizontal gene transfer, in addition to endosymbiotic gene transfer and conservation through ancestry. Although some metabolic pathways as a whole appear to be retained through ancestry, genes encoding individual enzymes within a pathway were substituted by genes that were acquired horizontally from other domains of life. Thus, metabolic pathways in G. sulphuraria appear to be composed of a ‘metabolic patchwork’, underscored by a mosaic of genes resulting from multiple evolutionary processes. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Upregulated Kynurenine Pathway Enzymes in Aortic Atherosclerotic Aneurysm: Macrophage Kynureninase Downregulates Inflammation
The official journal of the Japan Atherosclerosis Society and the Asian Pacific Society of Atherosclerosis and Vascular Diseases Original Article J Atheroscler Thromb, 2021; 28: 000-000. http://doi.org/10.5551/jat.58248 Upregulated Kynurenine Pathway Enzymes in Aortic Atherosclerotic Aneurysm: Macrophage Kynureninase Downregulates Inflammation Masanori Nishimura1, 2, Atsushi Yamashita2, Yunosuke Matsuura3, Junichi Okutsu4, Aiko Fukahori4, Tsuyoshi Hirata4, Tomohiro Nishizawa5, Hirohito Ishii1, Kazunari Maekawa2, Eriko Nakamura2, Kazuo Kitamura3, Kunihide Nakamura1 and Yujiro Asada2 1Division of Cardiovascular Surgery, Department of Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan 2Department of Pathology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan 3Department of Internal Medicine, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan 4Translational Research Department, Daiichi Sankyo RD Novare Co., Ltd., Tokyo, Japan 5Specialty Medicine Research Laboratories I, Daiichi Sankyo Co., Ltd., Tokyo, Japan Aims: Inflammation and hypertension contribute to the progression of atherosclerotic aneurysm in the aorta. Vascular cell metabolism is regarded to modulate atherogenesis, but the metabolic alterations that occur in ath- erosclerotic aneurysm remain unknown. The present study aimed to identify metabolic pathways and metabo- lites in aneurysmal walls and examine their roles in atherogenesis. Methods: Gene expression using microarray and metabolite levels in the early atherosclerotic lesions and aneu- rysmal walls obtained from 42 patients undergoing aortic surgery were investigated (early lesion n=11, aneu- rysm n=35) and capillary electrophoresis–time-of-flight mass spectrometry (early lesion n=14, aneurysm n=38). Using immunohistochemistry, the protein expression and localization of the identified factors were examined (early lesion n=11, non-aneurysmal advanced lesion n=8, aneurysm n=11). -
HIV-1 Envelope Mimicry of Host Enzyme Kynureninase Does Not Disrupt Tryptophan Metabolism
HIV-1 Envelope Mimicry of Host Enzyme Kynureninase Does Not Disrupt Tryptophan Metabolism This information is current as Todd Bradley, Guang Yang, Olga Ilkayeva, T. Matt Holl, of September 29, 2021. Ruijun Zhang, Jinsong Zhang, Sampa Santra, Christopher B. Fox, Steve G. Reed, Robert Parks, Cindy M. Bowman, Hilary Bouton-Verville, Laura L. Sutherland, Richard M. Scearce, Nathan Vandergrift, Thomas B. Kepler, M. Anthony Moody, Hua-Xin Liao, S. Munir Alam, Roger McLendon, Jeffrey I. Everitt, Christopher B. Newgard, Downloaded from Laurent Verkoczy, Garnett Kelsoe and Barton F. Haynes J Immunol 2016; 197:4663-4673; Prepublished online 14 November 2016; doi: 10.4049/jimmunol.1601484 http://www.jimmunol.org/content/197/12/4663 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2016/11/12/jimmunol.160148 Material 4.DCSupplemental References This article cites 67 articles, 31 of which you can access for free at: http://www.jimmunol.org/content/197/12/4663.full#ref-list-1 by guest on September 29, 2021 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. -
Supplementary Materials
Supplementary Materials COMPARATIVE ANALYSIS OF THE TRANSCRIPTOME, PROTEOME AND miRNA PROFILE OF KUPFFER CELLS AND MONOCYTES Andrey Elchaninov1,3*, Anastasiya Lokhonina1,3, Maria Nikitina2, Polina Vishnyakova1,3, Andrey Makarov1, Irina Arutyunyan1, Anastasiya Poltavets1, Evgeniya Kananykhina2, Sergey Kovalchuk4, Evgeny Karpulevich5,6, Galina Bolshakova2, Gennady Sukhikh1, Timur Fatkhudinov2,3 1 Laboratory of Regenerative Medicine, National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia 2 Laboratory of Growth and Development, Scientific Research Institute of Human Morphology, Moscow, Russia 3 Histology Department, Medical Institute, Peoples' Friendship University of Russia, Moscow, Russia 4 Laboratory of Bioinformatic methods for Combinatorial Chemistry and Biology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia 5 Information Systems Department, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia 6 Genome Engineering Laboratory, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia Figure S1. Flow cytometry analysis of unsorted blood sample. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S2. Flow cytometry analysis of unsorted liver stromal cells. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S3. MiRNAs expression analysis in monocytes and Kupffer cells. Full-length of heatmaps are presented. -
BIOCHEMISTRY of TRYPTOPHAN in HEALTH and DISEASE Contents
Molec. Aspects Med. Vol. 6, pp. 101-197, 1982 0098-2997/82/020101-97548.50/0 Printed in Great Britain. All rights reserved. Copyright © Pergamon Press Ltd. BIOCHEMISTRY OF TRYPTOPHAN IN HEALTH AND DISEASE David A. Bender Courtauld Institute of Biochemistry, The Middlesex Hospital Medical School, London WIP 7PN, U.K. Contents Chapter 1 THE DISCOVERY OF TRYPTOPHAN, ITS PHYSIOLOGICAL SIGNIFICANCE AND METABOLIC FATES 103 Tryptophan and glucose metabolism 105 Xanthurenic acid and insulin 105 The glucose tolerance factor 106 Inhibition of gluconeogenesis by tryptophan metabolites i07 Metabolic fates of tryptophan 108 Protein synthesis 108 Oxidative metabolism Ii0 5-Hydroxyindole synthesis 111 Intestinal bacterial metabolism iii Chapter 2 THE 5-HYDROXYINDOLE PATHWAY OF TRYPTOPHAN METABOLISM; SEROTONIN AND OTHER CENTRALLY ACTIVE TRYPTOPHAN METABOLITES 112 Tryptophan 5-hydroxylase 112 Inhibition of tryptophan hydroxylase and the carcinoid syndrome 116 Aromatic amino acid decarboxylase 118 The specificity of aromatic amino acid decarboxylase 120 Tryptophan metabolism in the pineal gland 121 Monoamine oxidase 124 The uptake of tryptophan into the brain 124 The binding of tryptophan to serum albumin 127 Competition for uptake by other neutral amino acids 129 Changes in tryptophan metabolism in response to food intake 129 Tryptophan uptake into the brain in liver failure 131 Sleep and tryptophan metabolism 134 101 102 D.A. Bender Tryptophan and serotonin in psychiatric disorders 135 Affective disorders 136 Evidence for a deficit of serotonin or tryptophan -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Generate Metabolic Map Poster
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_001591825Cyc: Bacillus vietnamensis NBRC 101237 Cellular Overview Connections between pathways are omitted for legibility. Anamika Kothari sn-glycerol phosphate phosphate pro phosphate phosphate phosphate thiamine molybdate D-xylose D-ribose glutathione 3-phosphate D-mannitol L-cystine L-djenkolate lanthionine α,β-trehalose phosphate phosphate [+ 3 more] α,α-trehalose predicted predicted ABC ABC FliY ThiT XylF RbsB RS10935 UgpC TreP PutP RS10200 PstB PstB RS10385 RS03335 RS20030 RS19075 transporter transporter of molybdate of phosphate α,β-trehalose 6-phosphate L-cystine D-xylose D-ribose sn-glycerol D-mannitol phosphate phosphate thiamine glutathione α α phosphate phosphate phosphate phosphate L-djenkolate 3-phosphate , -trehalose 6-phosphate pro 1-phosphate lanthionine molybdate phosphate [+ 3 more] Metabolic Regulator Amino Acid Degradation Amine and Polyamine Biosynthesis Macromolecule Modification tRNA-uridine 2-thiolation Degradation ATP biosynthesis a mature peptidoglycan a nascent β an N-terminal- -
Letters to Nature
letters to nature Received 7 July; accepted 21 September 1998. 26. Tronrud, D. E. Conjugate-direction minimization: an improved method for the re®nement of macromolecules. Acta Crystallogr. A 48, 912±916 (1992). 1. Dalbey, R. E., Lively, M. O., Bron, S. & van Dijl, J. M. The chemistry and enzymology of the type 1 27. Wolfe, P. B., Wickner, W. & Goodman, J. M. Sequence of the leader peptidase gene of Escherichia coli signal peptidases. Protein Sci. 6, 1129±1138 (1997). and the orientation of leader peptidase in the bacterial envelope. J. Biol. Chem. 258, 12073±12080 2. Kuo, D. W. et al. Escherichia coli leader peptidase: production of an active form lacking a requirement (1983). for detergent and development of peptide substrates. Arch. Biochem. Biophys. 303, 274±280 (1993). 28. Kraulis, P.G. Molscript: a program to produce both detailed and schematic plots of protein structures. 3. Tschantz, W. R. et al. Characterization of a soluble, catalytically active form of Escherichia coli leader J. Appl. Crystallogr. 24, 946±950 (1991). peptidase: requirement of detergent or phospholipid for optimal activity. Biochemistry 34, 3935±3941 29. Nicholls, A., Sharp, K. A. & Honig, B. Protein folding and association: insights from the interfacial and (1995). the thermodynamic properties of hydrocarbons. Proteins Struct. Funct. Genet. 11, 281±296 (1991). 4. Allsop, A. E. et al.inAnti-Infectives, Recent Advances in Chemistry and Structure-Activity Relationships 30. Meritt, E. A. & Bacon, D. J. Raster3D: photorealistic molecular graphics. Methods Enzymol. 277, 505± (eds Bently, P. H. & O'Hanlon, P. J.) 61±72 (R. Soc. Chem., Cambridge, 1997). -
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. -
THE ROLE of KYNURENINE, a TRYPTOPHAN METABOLITE THAT INCREASES with AGE, in MUSCLE ATROPHY and LIPID PEROXIDATION) by Helen Eliz
THE ROLE OF KYNURENINE, A TRYPTOPHAN METABOLITE THAT INCREASES WITH AGE, IN MUSCLE ATROPHY AND LIPID PEROXIDATION) By Helen Elizabeth Kaiser Submitted to the Faculty of the Graduate School of Augusta University in partial fulfillment of the Requirements of the Degree of (Doctor of Philosophy in Cellular Biology and Anatomy) April 2020 COPYRIGHT© 2020 by Helen Kaiser ACKNOWLEDGEMENTS I wish to express my deepest gratitude to my mentor Dr. Mark Hamrick. His support and advice were invaluable to my learning and development as a scientist. I would like to especially recognize Dr. Hamrick’s honesty to data, and kindness to everyone around him. It was an honor to work as his student, and to be a part of this project. I would like to thank my committee members, Drs. Carlos Isales, Meghan McGee-Lawrence, and Yutao Liu, for their continued support, guidance, and helpful suggestions. They have helped to shape and focus this project, and have augmented my experience as a student during the development of my dissertation. Additionally, I want to recognize and thank Dr. Sadanand Fulzele for sharing his wealth of knowledge in techniques, and always keeping his door open for student’s questions. Next, a most heartfelt thanks to my lab mates: Andrew Khayrullin, Bharati Mendhe, Ling Ruan and Emily Parker. This project has been a team effort, all of them have been fundamental to its success. I further want to show my appreciation for the rest of the department of Cellular Biology and Anatomy at Augusta University. The histology core members Donna Kumiski and Penny Roon for their direct help in sectioning, and contributions to this project. -
SI Appendix Index 1
SI Appendix Index Calculating chemical attributes using EC-BLAST ................................................................................ 2 Chemical attributes in isomerase reactions ............................................................................................ 3 Bond changes …..................................................................................................................................... 3 Reaction centres …................................................................................................................................. 5 Substrates and products …..................................................................................................................... 6 Comparative analysis …........................................................................................................................ 7 Racemases and epimerases (EC 5.1) ….................................................................................................. 7 Intramolecular oxidoreductases (EC 5.3) …........................................................................................... 8 Intramolecular transferases (EC 5.4) ….................................................................................................. 9 Supporting references …....................................................................................................................... 10 Fig. S1. Overview …............................................................................................................................