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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.
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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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.
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  • 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.
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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.
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  • Expression of a Gene Encoding Acetolactate Synthase from Rice Complements Two Ilvh Mutants in Escherichia Coli
    AJCS 4(6):430-436 (2010) ISSN:1835-2707 Expression of a gene encoding acetolactate synthase from rice complements two ilvH mutants in Escherichia coli Md. Shafiqul Islam Sikdar1, Jung-Sup Kim2* 1Faculty of Biotechnology, Jeju National University, Jeju, 690-756, Korea and Department of Agronomy, Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh 2Faculty of Biotechnology, Jeju National University, Jeju, 690-756, Korea *Corresponding Author: [email protected] Abstract Acetolactate synthase (ALS) is a thiamine diphosphate-dependent enzyme in the biosynthetic pathway leading to isoleucine, valine and leucine in plants. ALS is the target of several classes of herbicides that are effective to protect a broad range of crops. In this study, we describe the functional analysis of a gene encoding for ALS from rice (OsALS). Sequence analysis of an EST from rice revealed that it harbors a full-length open reading frame for OsALS encoding a protein of approximately 69.4 kDa and the N-terminal of OsALS contains a feature of chloroplast transit peptide. The predicted amino acid sequence of OsALS is highly homologous to those of weed ALSs among plant ALSs. The OsALS expression showed that the gene was functionally capable of complementing the two ilvH mutant strains of Escherichia coli. These results indicate that the OsALS encodes for an enzyme in acetolactate synthase in rice. Keywords: acetolactate synthase, rice (Oryza sativa), sequence analysis, functional complementation, ilvH mutants Abbreviations: ALS_Acetolactate synthase; BCAAs_Branched chain amino acids; Ile_Isoleucine; Val_Valine; Leu_Leucine; TPP_Thiamine diphosphate; CGSC_E. coli Genetic Stock Center; RGRC _Rice Genome Resource Center; ORF_Open reading frame; PCR_Polymerase chain reaction; Amp_Ampicillin; MM_M9 minimal medium; IPTG_Isopropyl β-D-thiogalactopyranoside.
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  • 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.
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  • 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.
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  • The Histone Deacetylase HDA15 Interacts with MAC3A and MAC3B to Regulate Intron
    bioRxiv preprint doi: https://doi.org/10.1101/2020.11.17.386672; this version posted November 17, 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. 1 The histone deacetylase HDA15 interacts with MAC3A and MAC3B to regulate intron 2 retention of ABA-responsive genes 3 4 Yi-Tsung Tu1#, Chia-Yang Chen1#, Yi-Sui Huang1, Ming-Ren Yen2, Jo-Wei Allison Hsieh2,3, 5 Pao-Yang Chen2,3*and Keqiang Wu1* 6 7 1Institute of Plant Biology, National Taiwan University, Taipei 10617, Taiwan 8 2 Institute of Plant and Microbial Biology, Academia Sinica, Taipei 11529, Taiwan 9 3 Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan 10 University, Taipei, Taiwan 11 12 # These authors contributed equally to this work. 13 * Corresponding authors: Keqiang Wu ([email protected], +886-2-3366-4546) and Pao-Yang 14 Chen ([email protected], +886-2-2787-1140) 15 16 Short title: HDA15 and MAC3A/MAC3B coregulate intron retention 17 One sentence summary: HDA15 and MAC3A/MAC3B coregulate intron retention and reduce 18 the histone acetylation level of the genomic regions near ABA-responsive retained introns. 19 20 The author responsible for distribution of materials integral to the findings presented in this 21 article in accordance with the policy described in the Instructions for Authors (www.plantcell.org) 22 is: Keqiang Wu ([email protected]) 23 24 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.11.17.386672; this version posted November 17, 2020.
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  • 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
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  • Arginine Enzymatic Deprivation and Diet Restriction for Cancer Treatment
    Brazilian Journal of Pharmaceutical Sciences Review http://dx.doi.org/10.1590/s2175-97902017000300200 Arginine enzymatic deprivation and diet restriction for cancer treatment Wissam Zam* Al-Andalus University for Medical Sciences, Faculty of Pharmacy, Analytical and Food Chemistry, Tartous, Syrian Arab Republic Recent findings in amino acid metabolism and the differences between normal, healthy cells and neoplastic cells have revealed that targeting single amino acid metabolic enzymes in cancer therapy is a promising strategy for the development of novel therapeutic agents. Arginine is derived from dietary protein intake, body protein breakdown, or endogenous de novo arginine production and several studies have revealed disturbances in its synthesis and metabolism which could enhance or inhibit tumor cell growth. Consequently, there has been an increased interest in the arginine-depleting enzymes and dietary deprivation of arginine and its precursors as a potential antineoplastic therapy. This review outlines the most recent advances in targeting arginine metabolic pathways in cancer therapy and the different chemo- and radio-therapeutic approaches to be co-applied. Key words: Arginine-depleting enzyme/antineoplastic therapy. Dietary deprivation. INTRODUCTION variety of human cancer cells have been found to be auxotrophic for arginine, depletion of which results in Certain cancers may be auxotrophic for a particular cell death (Tytell, Neuman, 1960; Kraemer, 1964; Dillon amino acid, and amino acid deprivation is one method to et al., 2004). Arginine can be degraded by three enzymes: treat these tumors. The strategy of enzymatic degradation arginase, arginine decarboxylase and arginine deiminase of amino acids to deprive malignant cells of important (ADI). Both arginine decarboxylase and ADI are not nutrients is an established component of induction therapy expressed in mammalian cells (Morris, 2007; Miyazaki of several tumor cells.
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  • Anti-Inflammatory Role of Curcumin in LPS Treated A549 Cells at Global Proteome Level and on Mycobacterial Infection
    Anti-inflammatory Role of Curcumin in LPS Treated A549 cells at Global Proteome level and on Mycobacterial infection. Suchita Singh1,+, Rakesh Arya2,3,+, Rhishikesh R Bargaje1, Mrinal Kumar Das2,4, Subia Akram2, Hossain Md. Faruquee2,5, Rajendra Kumar Behera3, Ranjan Kumar Nanda2,*, Anurag Agrawal1 1Center of Excellence for Translational Research in Asthma and Lung Disease, CSIR- Institute of Genomics and Integrative Biology, New Delhi, 110025, India. 2Translational Health Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India. 3School of Life Sciences, Sambalpur University, Jyoti Vihar, Sambalpur, Orissa, 768019, India. 4Department of Respiratory Sciences, #211, Maurice Shock Building, University of Leicester, LE1 9HN 5Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia- 7003, Bangladesh. +Contributed equally for this work. S-1 70 G1 S 60 G2/M 50 40 30 % of cells 20 10 0 CURI LPSI LPSCUR Figure S1: Effect of curcumin and/or LPS treatment on A549 cell viability A549 cells were treated with curcumin (10 µM) and/or LPS or 1 µg/ml for the indicated times and after fixation were stained with propidium iodide and Annexin V-FITC. The DNA contents were determined by flow cytometry to calculate percentage of cells present in each phase of the cell cycle (G1, S and G2/M) using Flowing analysis software. S-2 Figure S2: Total proteins identified in all the three experiments and their distribution betwee curcumin and/or LPS treated conditions. The proteins showing differential expressions (log2 fold change≥2) in these experiments were presented in the venn diagram and certain number of proteins are common in all three experiments.
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  • Supplemental Methods
    Supplemental Methods: Sample Collection Duplicate surface samples were collected from the Amazon River plume aboard the R/V Knorr in June 2010 (4 52.71’N, 51 21.59’W) during a period of high river discharge. The collection site (Station 10, 4° 52.71’N, 51° 21.59’W; S = 21.0; T = 29.6°C), located ~ 500 Km to the north of the Amazon River mouth, was characterized by the presence of coastal diatoms in the top 8 m of the water column. Sampling was conducted between 0700 and 0900 local time by gently impeller pumping (modified Rule 1800 submersible sump pump) surface water through 10 m of tygon tubing (3 cm) to the ship's deck where it then flowed through a 156 µm mesh into 20 L carboys. In the lab, cells were partitioned into two size fractions by sequential filtration (using a Masterflex peristaltic pump) of the pre-filtered seawater through a 2.0 µm pore-size, 142 mm diameter polycarbonate (PCTE) membrane filter (Sterlitech Corporation, Kent, CWA) and a 0.22 µm pore-size, 142 mm diameter Supor membrane filter (Pall, Port Washington, NY). Metagenomic and non-selective metatranscriptomic analyses were conducted on both pore-size filters; poly(A)-selected (eukaryote-dominated) metatranscriptomic analyses were conducted only on the larger pore-size filter (2.0 µm pore-size). All filters were immediately submerged in RNAlater (Applied Biosystems, Austin, TX) in sterile 50 mL conical tubes, incubated at room temperature overnight and then stored at -80oC until extraction. Filtration and stabilization of each sample was completed within 30 min of water collection.
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