Crystal Structure of Escherichia Coli Agmatinase: Catalytic Mechanism and Residues Relevant for Substrate Specificity
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
A Review on Agmatinase Inhibitors
www.ijcrt.org © 2020 IJCRT | Volume 8, Issue 12 December 2020 | ISSN: 2320-2882 A review on Agmatinase inhibitors 1Sunnica Biswas, 2Mr. R. T. Lohiya, 3Dr. Milind Umekar *1&2 Department Of Pharmaceutical Chemistry Smt. Kishoriti Bhoyar College of Pharmacy, Kamptee, Dst. Nagpur, 441002 Abstract : Agmatine is the product of arginine decarboxylation and can be hydrolyzed by agmatinase to putrescine, the precursor for biosynthesis of higher polyamines, spermidine, and spermine. Besides being an intermediate in polyamine metabolism, recent findings indicate that agmatine may play important regulatory roles in mammals. Agmatine, 4-aminobutyl guanidine, has recently been found in various mammalian organs and is thought to act as a neurotransmitter or neuromodulatory agent. The present study is to do a review on agmatine and its synthesized analogues till now for agmatinase inhibitory action. Agmatinase is a binuclear manganese metalloenzyme and belongs to the ureohydrolase superfamily that includes arginase, formiminoglutamase, and proclavaminate amidinohydrolase. Compared with a wealth of structural information available for arginases, no three dimensional structure of agmatinase has been reported. Agmatinase is an enzyme which blocks the mammalian agmatine which is ultimately responsible for the agmatine degradation in the body. Agmatinase is an enzyme which regulates the half life of agmatine in the brain. Hence a selective inhibitor of brain agmatinase is required. Several derivatives of agmatine are synthesized previously for agmatinase inhibitory activity but none of them showed selective inhibition. PZC (Piperazinecarboxamidine) is a derivative of agmatine or guanidine is expected to show selective inhibition of human agmatinase. A detailed review is carried out in order to understand the agmatinase inhibitor. -
Agmatinase Sirna (H): Sc-60060
SANTA CRUZ BIOTECHNOLOGY, INC. Agmatinase siRNA (h): sc-60060 BACKGROUND STORAGE AND RESUSPENSION Agmatinase (also known as agmatine ureohydrolase) results from the decar- Store lyophilized siRNA duplex at -20° C with desiccant. Stable for at least boxylation of L-arginine by arginine decarboxylase to form a metabolic inter- one year from the date of shipment. Once resuspended, store at -20° C, mediate in the biosynthesis of putresine and higher polyamines (spermidine avoid contact with RNAses and repeated freeze thaw cycles. and spermine). Agmatinase has been shown to play a role in several important Resuspend lyophilized siRNA duplex in 330 µl of the RNAse-free water biochemical processes in humans, ranging from effects on the central nervous provided. Resuspension of the siRNA duplex in 330 µl of RNAse-free water system to cell proliferation in cancer and viral replication. Agmatinase cat- makes a 10 µM solution in a 10 µM Tris-HCl, pH 8.0, 20 mM NaCl, 1 mM alyzes the hydrolysis of agmatine to putresine and urea and is a major target EDTA buffered solution. for drug therapy. Human Agmatinase retains about 30% identity to bacterial agmatinases and less than 20% identity to mammalian arginases. Residues APPLICATIONS required for binding of Mn2+ at the active site in bacterial Agmatinase and other members of the arginase superfamily are fully conserved in human Agmatinase siRNA (h) is recommended for the inhibition of Agmatinase Agmatinase. Agmatinase mRNA is most abundant in human liver and kidney, expression in human cells. but is also expressed in several other tissues, including skeletal muscle and brain. -
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. -
RT² Profiler PCR Array (Rotor-Gene® Format) Human Amino Acid Metabolism I
RT² Profiler PCR Array (Rotor-Gene® Format) Human Amino Acid Metabolism I Cat. no. 330231 PAHS-129ZR For pathway expression analysis Format For use with the following real-time cyclers RT² Profiler PCR Array, Rotor-Gene Q, other Rotor-Gene cyclers Format R Description The Human Amino Acid Metabolism I RT² Profiler PCR Array profiles the expression of 84 key genes important in biosynthesis and degradation of functional amino acids. Of the 20 amino acids required for protein synthesis, six of them (arginine, cysteine, glutamine, leucine, proline, and tryptophan), collectively known as the functional amino acids, regulate key metabolic pathways involved in cellular growth, and development, as well as other important biological processes such as immunity and reproduction. For example, leucine activates mTOR signaling and increases protein synthesis, leading to lymphocyte proliferation. Therefore, a lack of leucine can compromise immune function. Metabolic pathways interrelated with the biosynthesis and degradation of these amino acids include vitamin and cofactor biosynthesis (such as SAM or S-Adenosyl Methionine) as well as neurotransmitter metabolism (such as glutamate). This array includes genes for mammalian functional amino acid metabolism as well as genes involved in methionine metabolism, important also for nutrient sensing and sulfur metabolism. Using realtime PCR, you can easily and reliably analyze the expression of a focused panel of genes involved in functional amino acid metabolism with this array. For further details, consult the RT² Profiler PCR Array Handbook. Shipping and storage RT² Profiler PCR Arrays in the Rotor-Gene format are shipped at ambient temperature, on dry ice, or blue ice packs depending on destination and accompanying products. -
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. -
Insights Into the Mn Binding Site in the Agmatinase-Like Protein (ALP): A
International Journal of Molecular Sciences Article Insights into the Mn2+ Binding Site in the Agmatinase-Like Protein (ALP): A Critical Enzyme for the Regulation of Agmatine Levels in Mammals María-Belen Reyes 1, José Martínez-Oyanedel 1,*, Camila Navarrete 1, Erika Mardones 1, Ignacio Martínez 1,Mónica Salas 2, Vasthi López 3, María García-Robles 4, Estefania Tarifeño-Saldivia 1, Maximiliano Figueroa 1, David García 1 and Elena Uribe 1,* 1 Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Biológicas, Universidad de Concepción, Casilla 160-C, Concepción 4070386, Chile; [email protected] (M.-B.R.); [email protected] (C.N.); [email protected] (E.M.); [email protected] (I.M.); [email protected] (E.T.-S.); [email protected] (M.F.); [email protected] (D.G.) 2 Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia 5110566, Chile; [email protected] 3 Departamento de Ciencias Biomédicas, Universidad Católica del Norte, Coquimbo 1781421, Chile; [email protected] 4 Departamento de Biología Celular, Facultad de Ciencias Biológicas, Universidad de Concepción, Casilla 160-C, Concepción 3349001, Chile; [email protected] * Correspondence: [email protected] (J.M.-O.); [email protected] (E.U.) Received: 28 April 2020; Accepted: 5 June 2020; Published: 10 June 2020 Abstract: Agmatine is a neurotransmitter with anticonvulsant, anti-neurotoxic and antidepressant-like effects, in addition it has hypoglycemic actions. Agmatine is converted to putrescine and urea by agmatinase (AGM) and by an agmatinase-like protein (ALP), a new type of enzyme which is present in human and rodent brain tissues. Recombinant rat brain ALP is the only mammalian protein that exhibits significant agmatinase activity in vitro and generates putrescine under in vivo conditions. -
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- -
INVITED SPEAKERS (INV) Presentation: Monday, September 28, 2015 from 10:30 – 11:00 in Room Congress Saal
INVITED SPEAKERS (INV) Presentation: Monday, September 28, 2015 from 10:30 – 11:00 in room Congress Saal. INV01 Redefining Virulence: Bacterial Gene Expression during INV03 Human Infection Breath-taking viral zoonosis: Lessons from influenza viruses H. L. T. Mobley T. Wolff University of Michigan Medical School, Department of Robert Koch-Institut, Division 17, Influenza viruses and other Microbiology and Immunology, Ann Arbor, United States Respiratory Viruses, Berlin, Germany Investigators identifying virulence genes at first did so by The World Health Organization recently expressed concerns about examining transposon mutants or individual gene mutations. an unprecedented diversity and geographical distribution of Mutants of bacterial pathogens were then assessed in animals, influenza viruses currently circulating in animal reservoirs. This whose symptoms mimicked human disease. Later, genome-wide includes an increase in the detection of animal influenza viruses screens (STM, IVET, IVIAT) were developed whereby genes and that co-circulate and exchange viral genes giving rise to novel virus proteins that influence virulence could be identified. These efforts strains. As the avian and porcine host reservoirs have in the past led to our conventional view of microbial virulence, with its focus contributed essentially to the genesis of human pandemic influenza on adhesins, iron acquisition, toxins, secretion, and motility, as viruses causing waves of severe respiratory disease on a global well as on those bacteria with genes such as on horizontally scale, this is a notable situation. transferred pathogenicity-associated islands that are not found in Zoonotic transmissions of avian influenza viruses belonging to the commensal strains. Now, however, we also must consider what H5N1 or H7N9 subtypes have been well documented in recent metabolic pathways are in play when microbial pathogens infect years. -
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 -
Functional Characterization of the Arginine Transaminase Pathway in Pseudomonas Aeruginosa PAO1
Georgia State University ScholarWorks @ Georgia State University Biology Dissertations Department of Biology 11-27-2007 Functional Characterization of the Arginine Transaminase Pathway in Pseudomonas aeruginosa PAO1 Zhe Yang Follow this and additional works at: https://scholarworks.gsu.edu/biology_diss Part of the Biology Commons Recommended Citation Yang, Zhe, "Functional Characterization of the Arginine Transaminase Pathway in Pseudomonas aeruginosa PAO1." Dissertation, Georgia State University, 2007. https://scholarworks.gsu.edu/biology_diss/29 This Dissertation is brought to you for free and open access by the Department of Biology at ScholarWorks @ Georgia State University. It has been accepted for inclusion in Biology Dissertations by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. FUNCTIONAL CHARACTERIZATION OF THE ARGININE TRANSAMINASE PATHWAY IN PSEUDOMONAS AERUGINOSA PAO1 by ZHE YANG Under the Direction of Chung-Dar Lu ABSTRACT Arginine utilization in Pseudomonas aeruginosa with multiple catabolic pathways represents one of the best examples of metabolic versatility of this organism. To identify genes of this complex arginine network, we employed DNA microarray to analyze the transcriptional profiles of this organism in response to L-arginine. While most genes in arginine uptake, regulation and metabolism have been identified as members of the ArgR regulon in our previous study, eighteen putative transcriptional units of 38 genes including the two known genes of the arginine dehydrogenase (ADH) pathway, kauB and gbuA, were found inducible by exogenous L-arginine but independent of ArgR. The potential physiological functions of those candidate genes in L-arginine utilization were studied by growth phenotype analysis in knockout mutants.