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METACYC ID Description A0AR23 GO:0004842 (Ubiquitin-Protein Ligase
Electronic Supplementary Material (ESI) for Integrative Biology This journal is © The Royal Society of Chemistry 2012 Heat Stress Responsive Zostera marina Genes, Southern Population (α=0. -
Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids
Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10. -
Proteínas De Superfície De Paracoccidioides Brasiliensis
UNIVERSIDADE DE BRASÍLIA FACULDADE DE MEDICINA PROGRAMA DE PÓS-GRADUAÇÃO EM PATOLOGIA MOLECULAR Proteínas de superfície de Paracoccidioides brasiliensis CANDIDATA: NADYA DA SILVA CASTRO ORIENTADORA: DRA. CÉLIA MARIA DE ALMEIDA SOARES TESE APRESENTADA AO PROGRAMA DE PÓS-GRADUAÇÃO EM PATOLOGIA MOLECULAR, DA FACULDADE DE MEDICINA, DA UNIVERSIDADE DE BRASÍLIA COMO REQUISITO PARCIAL À OBTENÇÃO DO TÍTULO DE DOUTOR EM PATOLOGIA MOLECULAR. BRASÍLIA – DF MAIO 2008 TRABALHO REALIZADO NO LABORATÓRIO DE BIOLOGIA MOLECULAR, DEPARTAMENTO DE BIOQUÍMICA E BIOLOGIA MOLECULAR, INSTITUTO DE CIÊNCIAS BIOLÓGICAS, DA UNIVERSIDADE FEDERAL DE GOIÁS. APOIO FINANCEIRO: CAPES/ CNPQ/ FINEP/ FAPEG/ SECTEC-GO. II BANCA EXAMINADORA TITULARES Profa. Dra. Célia Maria de Almeida Soares, Instituto de Ciências Biológicas, Universidade Federal de Goiás. Prof. Dr. Augusto Schrank Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul Prof. Dr. Ivan Torres Nicolau de Campos Instituto de Ciências Biológicas, Universidade Federal de Goiás. Prof. Dr. Bergmann Morais Ribeiro Instituto de Ciências Biológicas, Universidade de Brasília. Prof. Dra. Anamélia Lorenzetti Bocca Instituto de Ciências Biológicas, Universidade de Brasília. SUPLENTE Prof. Dr. Fernando Araripe Gonçalves Torres Instituto de Ciências Biológicas, Universidade de Brasília. III ´- Os homens do seu planeta ² disse o pequeno Príncipe ² cultivam cinco mil rosas num jardim... e não encontram o que procuram... - É verdade ² respondi. - E, no entanto, o que eles procuram poderia ser encontrado numa só rosa, ou num pouco de água... - É verdade. E o principezinho acrescentou: Mas os olhos são cegos. eSUHFLVRYHUFRPRFRUDomRµ ³O pequeno príncipe´ de Antonie de Saint-Exupéry IV Dedico esta tese aos meus queridos pais, Nadson e Genialda, que foram e são exemplos de dedicação e de perseverança e cujos incentivos, apoio e amor contribuíram em muito para a realização deste trabalho. -
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. -
Mapping Active Site Residues in Glutamate-5-Kinase. the Substrate Glutamate and the Feed-Back Inhibitor Proline Bind at Overlapping Sites
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector FEBS Letters 580 (2006) 6247–6253 Mapping active site residues in glutamate-5-kinase. The substrate glutamate and the feed-back inhibitor proline bind at overlapping sites Isabel Pe´rez-Arellanoa, Vicente Rubiob, Javier Cerveraa,* a Centro de Investigacio´n Prı´ncipe Felipe, Avda. Autopista del Saler, 16, Valencia 46013, Spain b Instituto de Biomedicina de Valencia (IBV-CSIC), Jaime Roig 11, Valencia 46010, Spain Received 22 August 2006; revised 10 October 2006; accepted 12 October 2006 Available online 20 October 2006 Edited by Stuart Ferguson (a domain named after pseudo uridine synthases and archaeo- Abstract Glutamate-5-kinase (G5K) catalyzes the controlling first step of proline biosynthesis. Substrate binding, catalysis sine-specific transglycosylases) domain [10]. AAK domains and feed-back inhibition by proline are functions of the N-termi- bind ATP and a phosphorylatable acidic substrate, and make nal 260-residue domain of G5K. We study here the impact on a phosphoric anhydride [11]. The function of the PUA domain these functions of 14 site-directed mutations affecting 9 residues (a domain characteristically found in some RNA-modifying of Escherichia coli G5K, chosen on the basis of the structure of enzymes) [12] is not known. By deleting the PUA domain of the bisubstrate complex of the homologous enzyme acetylgluta- E. coli G5K we showed [10] that the isolated AAK domain, mate kinase (NAGK). The results support the predicted roles as the complete enzyme, forms tetramers, catalyzes the reac- of K10, K217 and T169 in catalysis and ATP binding and of tion and is feed-back inhibited by proline. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
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. -
Advances in Chitin/Chitosan Characterization and Applications
Advances in Chitin/Chitosan Characterization and Applications Edited by Marguerite Rinaudo and Francisco M. Goycoolea Printed Edition of the Special Issue Published in Polymers www.mdpi.com/journal/polymers Advances in Chitin/Chitosan Characterization and Applications Advances in Chitin/Chitosan Characterization and Applications Special Issue Editors Marguerite Rinaudo Francisco M. Goycoolea MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade Special Issue Editors Marguerite Rinaudo Francisco M. Goycoolea University of Grenoble Alpes University of Leeds France UK Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Polymers (ISSN 2073-4360) from 2017 to 2018 (available at: https://www.mdpi.com/journal/polymers/ special issues/chitin chitosan) For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Article Number, Page Range. ISBN 978-3-03897-802-2 (Pbk) ISBN 978-3-03897-803-9 (PDF) c 2019 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. Contents About the Special Issue Editors ..................................... ix Preface to ”Advances in Chitin/Chitosan Characterization and Applications” ......... -
Supplementary Materials
1 Supplementary Materials: Supplemental Figure 1. Gene expression profiles of kidneys in the Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice. (A) A heat map of microarray data show the genes that significantly changed up to 2 fold compared between Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice (N=4 mice per group; p<0.05). Data show in log2 (sample/wild-type). 2 Supplemental Figure 2. Sting signaling is essential for immuno-phenotypes of the Fcgr2b-/-lupus mice. (A-C) Flow cytometry analysis of splenocytes isolated from wild-type, Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice at the age of 6-7 months (N= 13-14 per group). Data shown in the percentage of (A) CD4+ ICOS+ cells, (B) B220+ I-Ab+ cells and (C) CD138+ cells. Data show as mean ± SEM (*p < 0.05, **p<0.01 and ***p<0.001). 3 Supplemental Figure 3. Phenotypes of Sting activated dendritic cells. (A) Representative of western blot analysis from immunoprecipitation with Sting of Fcgr2b-/- mice (N= 4). The band was shown in STING protein of activated BMDC with DMXAA at 0, 3 and 6 hr. and phosphorylation of STING at Ser357. (B) Mass spectra of phosphorylation of STING at Ser357 of activated BMDC from Fcgr2b-/- mice after stimulated with DMXAA for 3 hour and followed by immunoprecipitation with STING. (C) Sting-activated BMDC were co-cultured with LYN inhibitor PP2 and analyzed by flow cytometry, which showed the mean fluorescence intensity (MFI) of IAb expressing DC (N = 3 mice per group). 4 Supplemental Table 1. Lists of up and down of regulated proteins Accession No. -
Discovery of an Alternate Metabolic Pathway for Urea Synthesis in Adult Aedes Aegypti Mosquitoes
Discovery of an alternate metabolic pathway for urea synthesis in adult Aedes aegypti mosquitoes Patricia Y. Scaraffia*†‡, Guanhong Tan§, Jun Isoe*†, Vicki H. Wysocki*§, Michael A. Wells*†, and Roger L. Miesfeld*† Departments of §Chemistry and *Biochemistry and Molecular Biophysics and †Center for Insect Science, University of Arizona, Tucson, AZ 85721-0088 Edited by Anthony A. James, University of California, Irvine, CA, and approved December 4, 2007 (received for review August 27, 2007) We demonstrate the presence of an alternate metabolic pathway We previously reported that mosquitoes dispose of toxic for urea synthesis in Aedes aegypti mosquitoes that converts uric ammonia through glutamine (Gln) and proline (Pro) synthesis, acid to urea via an amphibian-like uricolytic pathway. For these along with excretion of ammonia, uric acid, and urea (20). By studies, female mosquitoes were fed a sucrose solution containing using labeled isotopes and mass spectrometry techniques (21), 15 15 15 15 15 NH4Cl, [5- N]-glutamine, [ N]-proline, allantoin, or allantoic we have recently determined how the N from NH4Cl is acid. At 24 h after feeding, the feces were collected and analyzed incorporated into the amide side chain of Gln, and then into Pro, in a mass spectrometer. Specific enzyme inhibitors confirmed that in Ae. aegypti (22). In the present article we demonstrate that the 15 15 15 mosquitoes incorporate N from NH4Cl into [5- N]-glutamine nitrogen of the amide group of Gln contributes to uric acid and use the 15N of the amide group of glutamine to produce synthesis in mosquitoes and, surprisingly, that uric acid can be 15 labeled uric acid. -
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 -
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.