Host Kinases Involved in DNA Precursor Biosynthesis During Bacteriophage T4 Infection
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Nucleotide Sequence and Analysis of the 58.3 to 65.5-Kb Early Region of Bacteriophage T4
Volume 14 Number 21 1986 Nucleic Acids Research Nucleotide sequence and analysis of the 58.3 to 65.5-kb early region of bacteriophage T4 Kristoffer Valerie 13.4, John Stevens', Mark Lynch'5, Earl E.Henderson12 and Jon K.de Riel1 'Fels Research Institute, and 2Department of Microbiology and Immunology, Temple University School of Medicine, Philadelphia, PA 19140, USA and 3Department of Biochemistry and Biotechnology, Royal Institute of Technology, S-100 44 Stockholm, Sweden Received 21 July 1986; Revised and Accepted 30 September 1986 ABSTRACT The complete 7.2-kb nucleotide sequence from the 58.3 to 65.5-kb early region of bacteriophage T4 has been determined by Maxam and Gilbert sequencing. Computer analysis revealed at least 20 open reading frames (ORFs) within this sequence. All major ORFs are transcribed from the left strand, suggesting that they are expressed early during infection. Among the ORFs, we have identified the pIIII, II, denV and tk genes. The ORFs are very tightly spaced, even over Lapping in some instances, and when ORF interspacing occurs, promoter-like sequences can be implicated. Several of the sequences preceding the ORFs, in particular those at ipIII, ipII, denV, and orf6l.9, can potentially form stable stem-loop structures. INTRODUCTION Recently, considerable progress has been made studying the bacteriophage T4 genome at the molecular level due to the development of T4 strains with unmod- ified DNA suitable for digestion with restriction endonucleases (1). Many T4 genes have since been cloned, sequenced, and their gene products overproduced in Escherichia coli (for review see ref. 2). A majority of the T4 genes studied so far have been essential and non-essential genes with well-characterized pheno- types. -
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. -
Electrophoretic Variation in Adenylate Kinase Ofneisseria
Proc. Natl. Acad. Sci. USA Vol. 92, pp. 10535-10539, November 1995 Genetics Electrophoretic variation in adenylate kinase of Neisseria meningitidis is due to inter- and intraspecies recombination (natural transformation/linkage disequilibrium/mosaic genes/multilocus enzyme electrophoresis/nonclonal population structure) EDWARD FEIL, GILL CARPENTER, AND BRIAN G. SPRATT* Molecular Microbiology Group, School of Biological Sciences, University of Sussex, Falmer, Brighton BN1 9QG, United Kingdom Communicated by John Maynard Smith, University of Sussex, Falmer, Brighton, United Kingdom, August 7, 1995 ABSTRACT In prokaryotic and eukaryotic organisms, their growth cycles and the availability of this mechanism of the electrophoretic variation in housekeeping enzymes from genetic exchange appears to have a profound effect on their natural populations is assumed to have arisen by the accu- evolution and population biology (3, 13-17). mulation of stochastic predominantly neutral mutations. In Caugant et al. (18) carried out an extensive MLEE survey of the naturally transformable bacterium Neisseria meningitidis, meningococci, analyzing variation at 15 enzyme loci in 688 we show that variation in the electrophoretic mobility of isolates recovered predominantly from patients with invasive adenylate kinase is due to inter- and intraspecies recombina- disease. Although the results from this survey appeared to tion rather than mutation. The nucleotide sequences of the imply relatively high levels of linkage disequilibrium, it has adenylate kinase gene (adk) from isolates that express the been pointed out (3, 17) that artificially high levels of linkage predominant slow electrophoretic variant were rather uni- disequilibrium may result from sampling bias, in this case form, differing in sequence at an average of 1.1% of nucleotide through the disproportionately high frequency in the data set sites. -
Exploring the Non-Canonical Functions of Metabolic Enzymes Peiwei Huangyang1,2 and M
© 2018. Published by The Company of Biologists Ltd | Disease Models & Mechanisms (2018) 11, dmm033365. doi:10.1242/dmm.033365 REVIEW SPECIAL COLLECTION: CANCER METABOLISM Hidden features: exploring the non-canonical functions of metabolic enzymes Peiwei Huangyang1,2 and M. Celeste Simon1,3,* ABSTRACT A key finding from studies of metabolic enzymes is the existence The study of cellular metabolism has been rigorously revisited over the of mechanistic links between their nuclear localization and the past decade, especially in the field of cancer research, revealing new regulation of transcription. By modulating gene expression, insights that expand our understanding of malignancy. Among these metabolic enzymes themselves facilitate adaptation to rapidly insights isthe discovery that various metabolic enzymes have surprising changing environments. Furthermore, they can directly shape a ’ activities outside of their established metabolic roles, including in cell s epigenetic landscape (Kaelin and McKnight, 2013). the regulation of gene expression, DNA damage repair, cell cycle Strikingly, several metabolic enzymes exert completely distinct progression and apoptosis. Many of these newly identified functions are functions in different cellular compartments. Nuclear fructose activated in response to growth factor signaling, nutrient and oxygen bisphosphate aldolase, for example, directly interacts with RNA ́ availability, and external stress. As such, multifaceted enzymes directly polymerase III to control transcription (Ciesla et al., 2014), -
Arthur Kornberg Discovered (The First) DNA Polymerase Four
Arthur Kornberg discovered (the first) DNA polymerase Using an “in vitro” system for DNA polymerase activity: 1. Grow E. coli 2. Break open cells 3. Prepare soluble extract 4. Fractionate extract to resolve different proteins from each other; repeat; repeat 5. Search for DNA polymerase activity using an biochemical assay: incorporate radioactive building blocks into DNA chains Four requirements of DNA-templated (DNA-dependent) DNA polymerases • single-stranded template • deoxyribonucleotides with 5’ triphosphate (dNTPs) • magnesium ions • annealed primer with 3’ OH Synthesis ONLY occurs in the 5’-3’ direction Fig 4-1 E. coli DNA polymerase I 5’-3’ polymerase activity Primer has a 3’-OH Incoming dNTP has a 5’ triphosphate Pyrophosphate (PP) is lost when dNMP adds to the chain E. coli DNA polymerase I: 3 separable enzyme activities in 3 protein domains 5’-3’ polymerase + 3’-5’ exonuclease = Klenow fragment N C 5’-3’ exonuclease Fig 4-3 E. coli DNA polymerase I 3’-5’ exonuclease Opposite polarity compared to polymerase: polymerase activity must stop to allow 3’-5’ exonuclease activity No dNTP can be re-made in reversed 3’-5’ direction: dNMP released by hydrolysis of phosphodiester backboneFig 4-4 Proof-reading (editing) of misincorporated 3’ dNMP by the 3’-5’ exonuclease Fidelity is accuracy of template-cognate dNTP selection. It depends on the polymerase active site structure and the balance of competing polymerase and exonuclease activities. A mismatch disfavors extension and favors the exonuclease.Fig 4-5 Superimposed structure of the Klenow fragment of DNA pol I with two different DNAs “Fingers” “Thumb” “Palm” red/orange helix: 3’ in red is elongating blue/cyan helix: 3’ in blue is getting edited Fig 4-6 E. -
B Number Gene Name Mrna Intensity Mrna
sample) total list predicted B number Gene name assignment mRNA present mRNA intensity Gene description Protein detected - Membrane protein membrane sample detected (total list) Proteins detected - Functional category # of tryptic peptides # of tryptic peptides # of tryptic peptides detected (membrane b0002 thrA 13624 P 39 P 18 P(m) 2 aspartokinase I, homoserine dehydrogenase I Metabolism of small molecules b0003 thrB 6781 P 9 P 3 0 homoserine kinase Metabolism of small molecules b0004 thrC 15039 P 18 P 10 0 threonine synthase Metabolism of small molecules b0008 talB 20561 P 20 P 13 0 transaldolase B Metabolism of small molecules chaperone Hsp70; DNA biosynthesis; autoregulated heat shock b0014 dnaK 13283 P 32 P 23 0 proteins Cell processes b0015 dnaJ 4492 P 13 P 4 P(m) 1 chaperone with DnaK; heat shock protein Cell processes b0029 lytB 1331 P 16 P 2 0 control of stringent response; involved in penicillin tolerance Global functions b0032 carA 9312 P 14 P 8 0 carbamoyl-phosphate synthetase, glutamine (small) subunit Metabolism of small molecules b0033 carB 7656 P 48 P 17 0 carbamoyl-phosphate synthase large subunit Metabolism of small molecules b0048 folA 1588 P 7 P 1 0 dihydrofolate reductase type I; trimethoprim resistance Metabolism of small molecules peptidyl-prolyl cis-trans isomerase (PPIase), involved in maturation of b0053 surA 3825 P 19 P 4 P(m) 1 GenProt outer membrane proteins (1st module) Cell processes b0054 imp 2737 P 42 P 5 P(m) 5 GenProt organic solvent tolerance Cell processes b0071 leuD 4770 P 10 P 9 0 isopropylmalate -
The Microbiota-Produced N-Formyl Peptide Fmlf Promotes Obesity-Induced Glucose
Page 1 of 230 Diabetes Title: The microbiota-produced N-formyl peptide fMLF promotes obesity-induced glucose intolerance Joshua Wollam1, Matthew Riopel1, Yong-Jiang Xu1,2, Andrew M. F. Johnson1, Jachelle M. Ofrecio1, Wei Ying1, Dalila El Ouarrat1, Luisa S. Chan3, Andrew W. Han3, Nadir A. Mahmood3, Caitlin N. Ryan3, Yun Sok Lee1, Jeramie D. Watrous1,2, Mahendra D. Chordia4, Dongfeng Pan4, Mohit Jain1,2, Jerrold M. Olefsky1 * Affiliations: 1 Division of Endocrinology & Metabolism, Department of Medicine, University of California, San Diego, La Jolla, California, USA. 2 Department of Pharmacology, University of California, San Diego, La Jolla, California, USA. 3 Second Genome, Inc., South San Francisco, California, USA. 4 Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. * Correspondence to: 858-534-2230, [email protected] Word Count: 4749 Figures: 6 Supplemental Figures: 11 Supplemental Tables: 5 1 Diabetes Publish Ahead of Print, published online April 22, 2019 Diabetes Page 2 of 230 ABSTRACT The composition of the gastrointestinal (GI) microbiota and associated metabolites changes dramatically with diet and the development of obesity. Although many correlations have been described, specific mechanistic links between these changes and glucose homeostasis remain to be defined. Here we show that blood and intestinal levels of the microbiota-produced N-formyl peptide, formyl-methionyl-leucyl-phenylalanine (fMLF), are elevated in high fat diet (HFD)- induced obese mice. Genetic or pharmacological inhibition of the N-formyl peptide receptor Fpr1 leads to increased insulin levels and improved glucose tolerance, dependent upon glucagon- like peptide-1 (GLP-1). Obese Fpr1-knockout (Fpr1-KO) mice also display an altered microbiome, exemplifying the dynamic relationship between host metabolism and microbiota. -
Blueprint Genetics ADK Single Gene Test
ADK single gene test Test code: S02595 Phenotype information Hypermethioninemia due to adenosine kinase deficiency Alternative gene names AK Panels that include the ADK gene Comprehensive Metabolism Panel Organic Acidemia/Aciduria & Cobalamin Deficiency Panel Test Strengths The strengths of this test include: CAP accredited laboratory CLIA-certified personnel performing clinical testing in a CLIA-certified laboratory Powerful sequencing technologies, advanced target enrichment methods and precision bioinformatics pipelines ensure superior analytical performance Careful construction of clinically effective and scientifically justified gene panels Our Nucleus online portal providing transparent and easy access to quality and performance data at the patient level Our publicly available analytic validation demonstrating complete details of test performance ~2,000 non-coding disease causing variants in our clinical grade NGS assay for panels (please see ‘Non-coding disease causing variants covered by this test’) Our rigorous variant classification scheme Our systematic clinical interpretation workflow using proprietary software enabling accurate and traceable processing of NGS data Our comprehensive clinical statements Test Limitations This test does not detect the following: Complex inversions Gene conversions Balanced translocations Mitochondrial DNA variants Repeat expansion disorders unless specifically mentioned Non-coding variants deeper than ±20 base pairs from exon-intron boundary unless otherwise indicated (please see above non-coding variants covered by the test). This test may not reliably detect the following: Low level mosaicism (variant with a minor allele fraction of 14.6% is detected with 90% probability) Stretches of mononucleotide repeats Indels larger than 50bp Single exon deletions or duplications https://blueprintgenetics.com/ Variants within pseudogene regions/duplicated segments The sensitivity of this test may be reduced if DNA is extracted by a laboratory other than Blueprint Genetics. -
Managing DNA Polymerases: Coordinating DNA Replication, DNA Repair, and DNA Recombination
Colloquium Managing DNA polymerases: Coordinating DNA replication, DNA repair, and DNA recombination Mark D. Sutton and Graham C. Walker* Department of Biology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139 Two important and timely questions with respect to DNA replica- A Superfamily of DNA Polymerases Involved in Replication of Imper- tion, DNA recombination, and DNA repair are: (i) what controls fect DNA Templates. Recently, the field of translesion DNA which DNA polymerase gains access to a particular primer-termi- synthesis and induced mutagenesis has generated a great deal of nus, and (ii) what determines whether a DNA polymerase hands off excitement because of the discovery that key gene products its DNA substrate to either a different DNA polymerase or to a required for these processes, in both prokaryotes (9, 10) and in different protein(s) for the completion of the specific biological eukaryotes (11, 12), possess an intrinsic DNA polymerase ac- process? These questions have taken on added importance in light tivity (refs. 6, 7, and 13–20 and reviewed in refs. 21–24). A of the fact that the number of known template-dependent DNA common, defining feature of these DNA polymerases is a polymerases in both eukaryotes and in prokaryotes has grown remarkable ability to replicate imperfect DNA templates. De- tremendously in the past two years. Most notably, the current list pending on the DNA polymerase, these include templates such now includes a completely new family of enzymes that are capable as those containing a misaligned primer–template junction (13), of replicating imperfect DNA templates. This UmuC-DinB-Rad30- an abasic site (6, 7), a cyclobutane dimer (15, 16, 25), or a pyrimidine–pyrimidone (6–4) photoproduct (25). -
Key for Exam 3 • Biology II • Winter 2013 Multiple Choice Questions
Key for Exam 3 • Biology II • Winter 2013 Multiple Choice Questions. Circle the one best answer for each question. (1 point each) 1. Which of the following is not part of the cell theory: A. All cells come from other cells. B. Only eukaryotic cells have membrane-bounded organelles. C. The cell is the smallest living unit of a living thing. D. All living things are made up of cells. 2. A protein that belongs in the plasma membrane of a eukaryotic cell might be found (at some point) in which organelle: A. Golgi apparatus B. ribosome C. cytoplasmic reticulum D. nucleus E. mitochondrion 3. A phospholipid is composed of: A. three fatty acids and a molecule of glycerol B. chains of hydrophobic amino acids C. two fatty acids, a molecule of glycerol and a highly hydrophilic group D. amphipathic fatty acids E. a phosphate, a ribose or deoxyribose sugar, and a fatty acid 4. A membrane would be more permeable if: A. …its phospholipids had longer tails. B. …its phospholipids had shorter tails. C. …it contained more cholesterol. D. …its phospholipids had more saturated tails. E. …its proteins were more hydrophobic. 5. An enzyme is working at its Vmax: A. …at the high point of the product vs. time curve. B. …when its active site is continuously full of substrate. C. …when the concentration of substrate is equal to its km. D. …when it is assayed at its optimum temperature and pH. E. …at the early time points when its slope is the steepest. 6. In an enzyme-catalyzed reaction, the role of the enzyme is to: A. -
The Metabolic Building Blocks of a Minimal Cell Supplementary
The metabolic building blocks of a minimal cell Mariana Reyes-Prieto, Rosario Gil, Mercè Llabrés, Pere Palmer and Andrés Moya Supplementary material. Table S1. List of enzymes and reactions modified from Gabaldon et. al. (2007). n.i.: non identified. E.C. Name Reaction Gil et. al. 2004 Glass et. al. 2006 number 2.7.1.69 phosphotransferase system glc + pep → g6p + pyr PTS MG041, 069, 429 5.3.1.9 glucose-6-phosphate isomerase g6p ↔ f6p PGI MG111 2.7.1.11 6-phosphofructokinase f6p + atp → fbp + adp PFK MG215 4.1.2.13 fructose-1,6-bisphosphate aldolase fbp ↔ gdp + dhp FBA MG023 5.3.1.1 triose-phosphate isomerase gdp ↔ dhp TPI MG431 glyceraldehyde-3-phosphate gdp + nad + p ↔ bpg + 1.2.1.12 GAP MG301 dehydrogenase nadh 2.7.2.3 phosphoglycerate kinase bpg + adp ↔ 3pg + atp PGK MG300 5.4.2.1 phosphoglycerate mutase 3pg ↔ 2pg GPM MG430 4.2.1.11 enolase 2pg ↔ pep ENO MG407 2.7.1.40 pyruvate kinase pep + adp → pyr + atp PYK MG216 1.1.1.27 lactate dehydrogenase pyr + nadh ↔ lac + nad LDH MG460 1.1.1.94 sn-glycerol-3-phosphate dehydrogenase dhp + nadh → g3p + nad GPS n.i. 2.3.1.15 sn-glycerol-3-phosphate acyltransferase g3p + pal → mag PLSb n.i. 2.3.1.51 1-acyl-sn-glycerol-3-phosphate mag + pal → dag PLSc MG212 acyltransferase 2.7.7.41 phosphatidate cytidyltransferase dag + ctp → cdp-dag + pp CDS MG437 cdp-dag + ser → pser + 2.7.8.8 phosphatidylserine synthase PSS n.i. cmp 4.1.1.65 phosphatidylserine decarboxylase pser → peta PSD n.i. -
DNA Polymerases at the Eukaryotic Replication Fork Thirty Years After: Connection to Cancer
cancers Review DNA Polymerases at the Eukaryotic Replication Fork Thirty Years after: Connection to Cancer Youri I. Pavlov 1,2,* , Anna S. Zhuk 3 and Elena I. Stepchenkova 2,4 1 Eppley Institute for Research in Cancer and Allied Diseases and Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA 2 Department of Genetics and Biotechnology, Saint-Petersburg State University, 199034 Saint Petersburg, Russia; [email protected] 3 International Laboratory of Computer Technologies, ITMO University, 197101 Saint Petersburg, Russia; [email protected] 4 Laboratory of Mutagenesis and Genetic Toxicology, Vavilov Institute of General Genetics, Saint-Petersburg Branch, Russian Academy of Sciences, 199034 Saint Petersburg, Russia * Correspondence: [email protected] Received: 30 September 2020; Accepted: 13 November 2020; Published: 24 November 2020 Simple Summary: The etiology of cancer is linked to the occurrence of mutations during the reduplication of genetic material. Mutations leading to low replication fidelity are the culprits of many hereditary and sporadic cancers. The archetype of the current model of replication fork was proposed 30 years ago. In the sequel to our 2010 review with the words “years after” in the title inspired by A. Dumas’s novels, we go over new developments in the DNA replication field and analyze how they help elucidate the effects of the genetic variants of DNA polymerases on cancer. Abstract: Recent studies on tumor genomes revealed that mutations in genes of replicative DNA polymerases cause a predisposition for cancer by increasing genome instability. The past 10 years have uncovered exciting details about the structure and function of replicative DNA polymerases and the replication fork organization.