Subcloning, Purification and Characteriration of the GLY7 Gene
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Metabolic Engineering of Escherichia Coli for Poly(3-Hydroxybutyrate)
Lin et al. Microb Cell Fact (2015) 14:185 DOI 10.1186/s12934-015-0369-3 RESEARCH Open Access Metabolic engineering of Escherichia coli for poly(3‑hydroxybutyrate) production via threonine bypass Zhenquan Lin1,2,3†, Yan Zhang1,2,3†, Qianqian Yuan1,2,3,4, Qiaojie Liu1,2,3, Yifan Li1,2,3, Zhiwen Wang1,2,3, Hongwu Ma4*, Tao Chen1,2,3,5* and Xueming Zhao1,2,3 Abstract Background: Poly(3-hydroxybutyrate) (PHB), have been considered to be good candidates for completely biode- gradable polymers due to their similar mechanical properties to petroleum-derived polymers and complete biodeg- radability. Escherichia coli has been used to simulate the distribution of metabolic fluxes in recombinant E. coli pro- ducing poly(3-hydroxybutyrate) (PHB). Genome-scale metabolic network analysis can reveal unexpected metabolic engineering strategies to improve the production of biochemicals and biofuels. Results: In this study, we reported the discovery of a new pathway called threonine bypass by flux balance analysis of the genome-scale metabolic model of E. coli. This pathway, mainly containing the reactions for threonine synthesis and degradation, can potentially increase the yield of PHB and other acetyl-CoA derived products by reutilizing the CO2 released at the pyruvate dehydrogenase step. To implement the threonine bypass for PHB production in E. coli, we deregulated the threonine and serine degradation pathway and enhanced the threonine synthesis, resulting in 2.23-fold improvement of PHB titer. Then, we overexpressed glyA to enhance the conversion of glycine to serine and activated transhydrogenase to generate NADPH required in the threonine bypass. -
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. -
The Role of Some of the Krebs Cycle Reactions in the Biosynthetic Functions of Thiobacillus Thioparus
AN ABSTRACT OF THE THESIS OF Gerald G. Still for the PhD in Chemistry (Name) (Degree) (Major) Date thesis is presented May 14, 1965 Title THE ROLE OF SOME OF THE KREBS CYCLE REACTIONS IN THE BIOSYNTHETIC FUNCTIONS OF THIOBACILLUS THIOPARUS Abstract approved Redacted for Privacy (Major professor) Aseptic radiorespirometry has been used to examine the utilization of external carbon sources by proliferat- ing Thiobacillus thioparus cells. These studies reveal that glucose, galactose, mannose, fructose, ribose, DL- glutamate, and L- aspartate were not utilized by this chemoautotrophic organism. However, it has been shown that trace amounts of acetate, glycine, DL- serine, DL- alanine, succinate and fumarate can be utilized by T. thioparus cells. To elucidate the nature of the biosynthetic pathways operative in this bacteria, proliferating cell cultures were allowed to metabolize specifically 14C labeled substrates. The resulting 14C labeled cells were sub- sequently hydrolyzed, their amino acids isolated and subjected to degradation experiments. Examination of the respective fates of the label in DL- alanine- 2 -14C, acetate- 1 -14C, or acetate -2 -14C in the cellular metabolism revealed that the Krebs Cycle path- way is not functioning as a respiratory mechanism in T. thioparus. However, most of the reactions of the Krebs Cycle pathway are involved in the biosynthesis of carbon skeletons for various amino acids. A CO2 fixa- tion pathway of the C3 +C1 type is instrumental in provid- ing C4 dicarboxylic acids and those amino acids derived therefrom. Acetate can be incorporated into a -keto- glutarate and those amino acids derived therefrom, but cannot be incorporated into the C4 dicarboxylic acids. -
Structures, Functions, and Mechanisms of Filament Forming Enzymes: a Renaissance of Enzyme Filamentation
Structures, Functions, and Mechanisms of Filament Forming Enzymes: A Renaissance of Enzyme Filamentation A Review By Chad K. Park & Nancy C. Horton Department of Molecular and Cellular Biology University of Arizona Tucson, AZ 85721 N. C. Horton ([email protected], ORCID: 0000-0003-2710-8284) C. K. Park ([email protected], ORCID: 0000-0003-1089-9091) Keywords: Enzyme, Regulation, DNA binding, Nuclease, Run-On Oligomerization, self-association 1 Abstract Filament formation by non-cytoskeletal enzymes has been known for decades, yet only relatively recently has its wide-spread role in enzyme regulation and biology come to be appreciated. This comprehensive review summarizes what is known for each enzyme confirmed to form filamentous structures in vitro, and for the many that are known only to form large self-assemblies within cells. For some enzymes, studies describing both the in vitro filamentous structures and cellular self-assembly formation are also known and described. Special attention is paid to the detailed structures of each type of enzyme filament, as well as the roles the structures play in enzyme regulation and in biology. Where it is known or hypothesized, the advantages conferred by enzyme filamentation are reviewed. Finally, the similarities, differences, and comparison to the SgrAI system are also highlighted. 2 Contents INTRODUCTION…………………………………………………………..4 STRUCTURALLY CHARACTERIZED ENZYME FILAMENTS…….5 Acetyl CoA Carboxylase (ACC)……………………………………………………………………5 Phosphofructokinase (PFK)……………………………………………………………………….6 -
Generated by SRI International Pathway Tools Version 25.0, Authors S
Authors: Pallavi Subhraveti Ron Caspi Quang Ong 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_000725805Cyc: Streptomyces xanthophaeus Cellular Overview Connections between pathways are omitted for legibility. -
Biomoleculesbiomolecules
1414Unit Objectives BiomoleculesBiomolecules After studying this Unit, you will be able to • explain the characteristics of “It is the harmonious and synchronous progress of chemical biomolecules like carbohydrates, reactions in body which leads to life”. proteins and nucleic acids and hormones; • classify carbohydrates, proteins, A living system grows, sustains and reproduces itself. nucleic acids and vitamins on the The most amazing thing about a living system is that it basis of their structures; is composed of non-living atoms and molecules. The • explain the difference between pursuit of knowledge of what goes on chemically within DNA and RNA; a living system falls in the domain of biochemistry. Living • describe the role of biomolecules systems are made up of various complex biomolecules in biosystem. like carbohydrates, proteins, nucleic acids, lipids, etc. Proteins and carbohydrates are essential constituents of our food. These biomolecules interact with each other and constitute the molecular logic of life processes. In addition, some simple molecules like vitamins and mineral salts also play an important role in the functions of organisms. Structures and functions of some of these biomolecules are discussed in this Unit. 14.114.114.1 Carbohydrates Carbohydrates are primarily produced by plants and form a very large group of naturally occurring organic compounds. Some common examples of carbohydrates are cane sugar, glucose, starch, etc. Most of them have a general formula, Cx(H2O)y, and were considered as hydrates of carbon from where the name carbohydrate was derived. For example, the molecular formula of glucose (C6H12O6) fits into this general formula, C6(H2O)6. But all the compounds which fit into this formula may not be classified as carbohydrates. -
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 -
Importance of Acidic, Proline/Serine/Threonine-Rich, And
Proc. Natl. Acad. Sci. USA Vol. 94, pp. 2501–2506, March 1997 Immunology Importance of acidic, prolineyserineythreonine-rich, and GTP- binding regions in the major histocompatibility complex class II transactivator: Generation of transdominant- negative mutants KEH-CHUANG CHIN*†,GEORGE G.-X. LI†‡, AND JENNY P.-Y. TING†‡ *Department of Biochemistry and Biophysics, †Lineberger Comprehensive Cancer Center, and ‡Department of Microbiology–Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295 Communicated by George Stark, Cleveland Clinic Foundation, Cleveland, OH, December 31, 1996 (received for review September 3, 1996) ABSTRACT The class II transactivator (CIITA) is a (11). CIITA was cloned by its ability to complement RJ2.2.5, master transcription regulator of gene products involved in an in vitro-generated MHC class II negative cell derived from the exogenous antigen presentation pathway, including major Raji (11, 18). Several groups, including our own, have shown histocompatibility complex (MHC) class II, invariant chain, that CIITA is induced by IFN-g and that transfection of CIITA and DM. An extensive analysis of the putative functional alone into cells is sufficient to activate MHC class II (19–21), domains of CIITA is undertaken here to explore the action of invariant chain (19, 22), and HLA-DM genes (22). CIITA. Antibodies to CIITA protein were produced to verify A major issue in the field concerns the mode of action of that these mutant proteins are expressed. Both acidic and CIITA. Although CIITA is a strong transactivator, it does not prolineyserineythreonine-rich domains are essential for class bind MHC class II promoter elements, nor does it appear to II MHC promoter activation. -
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. -
Amino Acid Transport Pathways in the Small Intestine of the Neonatal Rat
Pediat. Res. 6: 713-719 (1972) Amino acid neonate intestine transport, amino acid Amino Acid Transport Pathways in the Small Intestine of the Neonatal Rat J. F. FITZGERALD1431, S. REISER, AND P. A. CHRISTIANSEN Departments of Pediatrics, Medicine, and Biochemistry, and Gastrointestinal Research Laboratory, Indiana University School of Medicine and Veterans Administration Hospital, Indianapolis, Indiana, USA Extract The activity of amino acid transport pathways in the small intestine of the 2-day-old rat was investigated. Transport was determined by measuring the uptake of 1 mM con- centrations of various amino acids by intestinal segments after a 5- or 10-min incuba- tion and it was expressed as intracellular accumulation. The neutral amino acid transport pathway was well developed with intracellular accumulation values for leucine, isoleucine, valine, methionine, tryptophan, phenyl- alanine, tyrosine, and alanine ranging from 3.9-5.6 mM/5 min. The intracellular accumulation of the hydroxy-containing neutral amino acids threonine (essential) and serine (nonessential) were 2.7 mM/5 min, a value significantly lower than those of the other neutral amino acids. The accumulation of histidine was also well below the level for the other neutral amino acids (1.9 mM/5 min). The basic amino acid transport pathway was also operational with accumulation values for lysine, arginine and ornithine ranging from 1.7-2.0 mM/5 min. Accumulation of the essential amino acid lysine was not statistically different from that of nonessential ornithine. Ac- cumulation of aspartic and glutamic acid was only 0.24-0.28 mM/5 min indicating a very low activity of the acidic amino acid transport pathway. -
Genetic Basis for Plasma Amino Acid Concentrations Based on Absolute Quantification: a Genome-Wide Association Study in the Japa
European Journal of Human Genetics https://doi.org/10.1038/s41431-018-0296-y ARTICLE Genetic basis for plasma amino acid concentrations based on absolute quantification: a genome-wide association study in the Japanese population 1 1 2 2,3 2 Akira Imaizumi ● Yusuke Adachi ● Takahisa Kawaguchi ● Koichiro Higasa ● Yasuharu Tabara ● 2,4 4 2 1 1 Kazuhiro Sonomura ● Taka-aki Sato ● Meiko Takahashi ● Toshimi Mizukoshi ● Hiro-o Yoshida ● 1 1 1 1 1 5 Naoko Kageyama ● Chisato Okamoto ● Mariko Takasu ● Maiko Mori ● Yasushi Noguchi ● Nobuhisa Shimba ● 1 2 2 Hiroshi Miyano ● Ryo Yamada ● Fumihiko Matsuda Received: 5 March 2018 / Revised: 15 October 2018 / Accepted: 25 October 2018 © The Author(s) 2019. This article is published with open access Abstract To assess the use of plasma free amino acids (PFAAs) as biomarkers for metabolic disorders, it is essential to identify genetic factors that influence PFAA concentrations. PFAA concentrations were absolutely quantified by liquid chromatography–mass spectrometry using plasma samples from 1338 Japanese individuals, and genome-wide quantitative 1234567890();,: 1234567890();,: trait locus (QTL) analysis was performed for the concentrations of 21 PFAAs. We next conducted a conditional QTL analysis using the concentration of each PFAA adjusted by the other 20 PFAAs as covariates to elucidate genetic determinants that influence PFAA concentrations. We identified eight genes that showed a significant association with PFAA concentrations, of which two, SLC7A2 and PKD1L2, were identified. SLC7A2 was associated with the plasma levels of arginine and ornithine, and PKD1L2 with the level of glycine. The significant associations of these two genes were revealed in the conditional QTL analysis, but a significant association between serine and the CPS1 gene disappeared when glycine was used as a covariate. -
Fmicb-07-01854
Temporal Metagenomic and Metabolomic Characterization of Fresh Perennial Ryegrass Degradation by Rumen Bacteria Mayorga, O. L., Kingston-Smith, A. H., Kim, E. J., Allison, G. G., Wilkinson, T. J., Hegarty, M. J., Theodorou, M. K., Newbold, C. J., & Huws, S. A. (2016). Temporal Metagenomic and Metabolomic Characterization of Fresh Perennial Ryegrass Degradation by Rumen Bacteria. Frontiers in Microbiology, 7, 1854. https://doi.org/10.3389/fmicb.2016.01854 Published in: Frontiers in Microbiology Document Version: Publisher's PDF, also known as Version of record Queen's University Belfast - Research Portal: Link to publication record in Queen's University Belfast Research Portal Publisher rights Copyright 2017 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. General rights Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the Research Portal that you believe breaches copyright or violates any law, please contact [email protected]. Download date:07.