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The Rnase H-Like Superfamily: New Members, Comparative Structural Analysis and Evolutionary Classification Karolina A
4160–4179 Nucleic Acids Research, 2014, Vol. 42, No. 7 Published online 23 January 2014 doi:10.1093/nar/gkt1414 The RNase H-like superfamily: new members, comparative structural analysis and evolutionary classification Karolina A. Majorek1,2,3,y, Stanislaw Dunin-Horkawicz1,y, Kamil Steczkiewicz4, Anna Muszewska4,5, Marcin Nowotny6, Krzysztof Ginalski4 and Janusz M. Bujnicki1,3,* 1Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology, ul. Ks. Trojdena 4, PL-02-109 Warsaw, Poland, 2Department of Molecular Physiology and Biological Physics, University of Virginia, 1340 Jefferson Park Avenue, Charlottesville, VA USA-22908, USA, 3Bioinformatics Laboratory, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University, Umultowska 89, PL-61-614 Poznan, Poland, 4Laboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, Zwirki i Wigury 93, PL-02-089 Warsaw, Poland, 5Institute of Biochemistry and Biophysics PAS, Pawinskiego 5A, PL-02-106 Warsaw, Poland and 6Laboratory of Protein Structure, International Institute of Molecular and Cell Biology, ul. Ks. Trojdena 4, PL-02-109 Warsaw, Poland Received September 23, 2013; Revised December 12, 2013; Accepted December 26, 2013 ABSTRACT revealed a correlation between the orientation of Ribonuclease H-like (RNHL) superfamily, also called the C-terminal helix with the exonuclease/endo- the retroviral integrase superfamily, groups together nuclease function and the architecture of the numerous enzymes involved in nucleic acid metab- active site. Our analysis provides a comprehensive olism and implicated in many biological processes, picture of sequence-structure-function relation- including replication, homologous recombination, ships in the RNHL superfamily that may guide func- DNA repair, transposition and RNA interference. -
The Impact of Genetic Diversity on Gene Essentiality Within the E. Coli Species
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.25.114553; this version posted May 25, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. The impact of genetic diversity on gene essentiality within the E. coli species François Rousset1,2, José Cabezas Caballero1, Florence Piastra-Facon1, Jesús Fernández-Rodríguez3, Olivier Clermont4, Erick Denamur4,5, Eduardo P.C. Rocha6 & David Bikard1,* 1- Synthetic Biology, Department of Microbiology, Institut Pasteur, Paris, France 2- Sorbonne Université, Collège Doctoral, F-75005Paris, France 3- Eligo Bioscience, Paris, France 4- Université de Paris, IAME, INSERM UMR1137, Paris, France 5- AP-HP, Laboratoire de Génétique Moléculaire, Hôpital Bichat, Paris, France 6- Microbial Evolutionary Genomics, Institut Pasteur, CNRS, UMR3525, 25-28 rue Dr Roux, Paris, 75015, France. *To whom correspondence should be addressed: [email protected] Abstract Bacteria from the same species can differ widely in their gene content. In E. coli, the set of genes shared by all strains, known as the core genome, represents about half the number of genes present in any strain. While recent advances in bacterial genomics have enabled to unravel genes required for fitness in various experimental conditions at the genome scale, most studies have focused on model strains. As a result, the impact of this genetic diversity on core processes of the bacterial cell largely remains to be investigated. Here, we developed a new CRISPR interference platform for high- throughput gene repression that is compatible with most E. -
Generate Metabolic Map Poster
Authors: Pallavi Subhraveti Anamika Kothari Quang Ong Ron Caspi 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 Peter D Karp Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Csac1394711Cyc: Candidatus Saccharibacteria bacterium RAAC3_TM7_1 Cellular Overview Connections between pathways are omitted for legibility. Tim Holland TM7C00001G0420 TM7C00001G0109 TM7C00001G0953 TM7C00001G0666 TM7C00001G0203 TM7C00001G0886 TM7C00001G0113 TM7C00001G0247 TM7C00001G0735 TM7C00001G0001 TM7C00001G0509 TM7C00001G0264 TM7C00001G0176 TM7C00001G0342 TM7C00001G0055 TM7C00001G0120 TM7C00001G0642 TM7C00001G0837 TM7C00001G0101 TM7C00001G0559 TM7C00001G0810 TM7C00001G0656 TM7C00001G0180 TM7C00001G0742 TM7C00001G0128 TM7C00001G0831 TM7C00001G0517 TM7C00001G0238 TM7C00001G0079 TM7C00001G0111 TM7C00001G0961 TM7C00001G0743 TM7C00001G0893 TM7C00001G0630 TM7C00001G0360 TM7C00001G0616 TM7C00001G0162 TM7C00001G0006 TM7C00001G0365 TM7C00001G0596 TM7C00001G0141 TM7C00001G0689 TM7C00001G0273 TM7C00001G0126 TM7C00001G0717 TM7C00001G0110 TM7C00001G0278 TM7C00001G0734 TM7C00001G0444 TM7C00001G0019 TM7C00001G0381 TM7C00001G0874 TM7C00001G0318 TM7C00001G0451 TM7C00001G0306 TM7C00001G0928 TM7C00001G0622 TM7C00001G0150 TM7C00001G0439 TM7C00001G0233 TM7C00001G0462 TM7C00001G0421 TM7C00001G0220 TM7C00001G0276 TM7C00001G0054 TM7C00001G0419 TM7C00001G0252 TM7C00001G0592 TM7C00001G0628 TM7C00001G0200 TM7C00001G0709 TM7C00001G0025 TM7C00001G0846 TM7C00001G0163 TM7C00001G0142 TM7C00001G0895 TM7C00001G0930 Detoxification Carbohydrate Biosynthesis DNA combined with a 2'- di-trans,octa-cis a 2'- Amino Acid Degradation an L-methionyl- TM7C00001G0190 superpathway of pyrimidine deoxyribonucleotides de novo biosynthesis (E. -
Prediction of Novel Inhibitors Against Exodeoxyribonuclease І of H
International Journal of Scientific & Engineering Research, Volume 6, Issue 2, February-2015 217 ISSN 2229-5518 Prediction of Novel Inhibitors against Exodeoxyribonuclease І of H. influenzae through In Silico Approach Shaik Parveen, Natarajan Pradeep, Kanipakam Hema and Amineni Umamaheswari Abstract — These Haemophilus influenzae is a Gram-negative bacterium which causes pneumonia in humans. Due to its multidrug resistance to peni- cillin, rifampin and polymyxin and adverse effects of existing treatments, the condition became an open challenge for many researchers to discover novel antagonists for the treatment of pneumonia caused by H. influenzae. 5 potential sRNA candidates were identified in H. influenzae using sRNA predict tool, among them3 were enzymes and 2 were non-enzymes. Among the three identified enzymes exodeoxyribonuclease І of H. influenzae was non- homologous to humans was selected as novel drug target in the present study. Exodeoxyribonuclease І is an enzyme involved in the mismatch repair mechanism of H. influenzae. The 3D structure of the exodeoxyribonuclease І was modeled based on the crystal structure of 4JRP using Modeler 9v13 and built model was validated using PROCHECK analysis, ProQ and ProSA. The existing eight inhibitors of exodeoxyribonuclease І were searched in 3D ligand database through shape screening against ASINEX database using Phasev3.2 module and structural analogs were docked with exodeoxyri- bonuclease І in Maestro v9.6 virtual screening workflow, that implements three stage Glide docking protocol. The docking results revealed that 11 leads were having better docking and ∆G scores when compared with the eight existing inhibitors among them lead 1 was having ∆G score of -68.78 kcal/mol. -
(12) Patent Application Publication (10) Pub. No.: US 2012/0058468 A1 Mickeown (43) Pub
US 20120058468A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2012/0058468 A1 MickeoWn (43) Pub. Date: Mar. 8, 2012 (54) ADAPTORS FOR NUCLECACID Related U.S. Application Data CONSTRUCTS IN TRANSMEMBRANE (60) Provisional application No. 61/148.737, filed on Jan. SEQUENCING 30, 2009. Publication Classification (75) Inventor: Brian Mckeown, Oxon (GB) (51) Int. Cl. CI2O I/68 (2006.01) (73) Assignee: OXFORD NANOPORE C7H 2L/00 (2006.01) TECHNOLGIES LIMITED, (52) U.S. Cl. ......................................... 435/6.1:536/23.1 Oxford (GB) (57) ABSTRACT (21) Appl. No.: 13/147,159 The invention relates to adaptors for sequencing nucleic acids. The adaptors may be used to generate single stranded constructs of nucleic acid for sequencing purposes. Such (22) PCT Fled: Jan. 29, 2010 constructs may contain both strands from a double stranded deoxyribonucleic acid (DNA) or ribonucleic acid (RNA) (86) PCT NO.: PCT/GB1O/OO160 template. The invention also relates to the constructs gener ated using the adaptors, methods of making the adaptors and S371 (c)(1), constructs, as well as methods of sequencing double stranded (2), (4) Date: Nov. 15, 2011 nucleic acids. Patent Application Publication Mar. 8, 2012 Sheet 1 of 4 US 2012/0058468 A1 Figure 5' 3 Figure 2 Figare 3 Patent Application Publication Mar. 8, 2012 Sheet 2 of 4 US 2012/0058468 A1 Figure 4 End repair Acid adapters ligate adapters Patent Application Publication Mar. 8, 2012 Sheet 3 of 4 US 2012/0058468 A1 Figure 5 Wash away type ifype foducts irrirrosilise Type| capture WashRE products away unbcure Pace É: Wash away unbound rag terts Free told fasgirre?ts aid raiser to festible Figure 6 Beatre Patent Application Publication Mar. -
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. -
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. -
Q 297 Suppl USE
The following supplement accompanies the article Atlantic salmon raised with diets low in long-chain polyunsaturated n-3 fatty acids in freshwater have a Mycoplasma dominated gut microbiota at sea Yang Jin, Inga Leena Angell, Simen Rød Sandve, Lars Gustav Snipen, Yngvar Olsen, Knut Rudi* *Corresponding author: [email protected] Aquaculture Environment Interactions 11: 31–39 (2019) Table S1. Composition of high- and low LC-PUFA diets. Stage Fresh water Sea water Feed type High LC-PUFA Low LC-PUFA Fish oil Initial fish weight (g) 0.2 0.4 1 5 15 30 50 0.2 0.4 1 5 15 30 50 80 200 Feed size (mm) 0.6 0.9 1.3 1.7 2.2 2.8 3.5 0.6 0.9 1.3 1.7 2.2 2.8 3.5 3.5 4.9 North Atlantic fishmeal (%) 41 40 40 40 40 30 30 41 40 40 40 40 30 30 35 25 Plant meals (%) 46 45 45 42 40 49 48 46 45 45 42 40 49 48 39 46 Additives (%) 3.3 3.2 3.2 3.5 3.3 3.4 3.9 3.3 3.2 3.2 3.5 3.3 3.4 3.9 2.6 3.3 North Atlantic fish oil (%) 9.9 12 12 15 16 17 18 0 0 0 0 0 1.2 1.2 23 26 Linseed oil (%) 0 0 0 0 0 0 0 6.8 8.1 8.1 9.7 11 10 11 0 0 Palm oil (%) 0 0 0 0 0 0 0 3.2 3.8 3.8 5.4 5.9 5.8 5.9 0 0 Protein (%) 56 55 55 51 49 47 47 56 55 55 51 49 47 47 44 41 Fat (%) 16 18 18 21 22 22 22 16 18 18 21 22 22 22 28 31 EPA+DHA (% diet) 2.2 2.4 2.4 2.9 3.1 3.1 3.1 0.7 0.7 0.7 0.7 0.7 0.7 0.7 4 4.2 Table S2. -
Conservation and Diversity of Radiation and Oxidative Stress Resistance
FEMS Microbiology Reviews, fuy037, 43, 2019, 19–52 doi: 10.1093/femsre/fuy037 Advance Access Publication Date: 18 October 2018 Review Article REVIEW ARTICLE Conservation and diversity of radiation and oxidative stress resistance mechanisms in Deinococcus species Sangyong Lim1, Jong-Hyun Jung1, Laurence Blanchard2 † and Arjan de Groot2,∗, 1Biotechnology Research Division, Korea Atomic Energy Research Institute, Jeongeup 56212, Republic of Korea and 2Aix Marseille Univ, CEA, CNRS, BIAM, Saint Paul-Lez-Durance, France ∗Corresponding author: DRF/BIAM/LBC, UMR 7265 CEA-CNRS-AMU CEA, Cadarache, 13108 Saint Paul Lez Durance, France. Tel: +33 04 42 25 39 35; Fax: +33 04 42 25 47 01; E-mail: [email protected] One sentence summary: The authors reviewed the mechanisms and factors involved in the extreme radiation and oxidative stress resistance in Deinococcus radiodurans in comparison with 10 other resistant Deinococcus species, and highlighted not only conserved pathways but also a large diversity of the repair, protection and regulation toolbox among the different deinococci. Editor: Kenn Gerdes †Arjan de Groot, http://orcid.org/0000-0003-2202-5279 ABSTRACT Deinococcus bacteria are famous for their extreme resistance to ionising radiation and other DNA damage- and oxidative stress-generating agents. More than a hundred genes have been reported to contribute to resistance to radiation, desiccation and/or oxidative stress in Deinococcus radiodurans. These encode proteins involved in DNA repair, oxidative stress defence, regulation and proteins of yet unknown function or with an extracytoplasmic location. Here, we analysed the conservation of radiation resistance-associated proteins in other radiation-resistant Deinococcus species. Strikingly, homologues of dozens of these proteins are absent in one or more Deinococcus species. -
Supplemental Material-PDF
List of supplementary tables and figures. Table S1 – Strains sequenced and assembly information (n=72) Table S2 – Genetic clusters obtained using BAPS Table S3 – Genes commonly found to be under positive selection in the three subspecies (n=14) Table S4 - Recombining genes in X. fastidiosa subsp. pauca strains 9a5c and U24D (Citrus) Table S5 – Recombination genes for X. fastidiosa 32 (Coffee) Table S6 - Genes found to be under selection in each subspecies Table S7 – Recombining genes for each X. fastidiosa subspecies Table S8 – Genes found in the accessory genome of each subspecies Figure S1 - Phylogeny of X. fastidiosa strains (n=72) and pan-genome visualization Figure S2 - Detection of temporal signal in the dataset Figure S3 - Rate comparison amongst subspecies. The boxplot (A) was constructed my merging the rate of evolution of each branch (internal and external) of the X. fastidiosa subsp. fastidiosa, pauca and multiplex clades together (obtained though rate-dating) as illustrated by the colored frames (B) Figure S4 - Comparison between clonalFrameML and FastGEAR. (A) ClonalFrameML output, (B) FastGEAR output, (C) comparison between the genes found to be recombining between the two algorithms that were mapped to the X. fastidiosa reference genome Table S1 – Strains sequenced and assembly information (n=72). Strain names in parentheses represent synonyms. Name N50 L50 Total length Country Host Subspecies Isolation date Accession CO33 176,135 6 2,681,926 Italy Coffea arabica ? 2015 SAMN04100274 MUL0034 2,642,186 1 2,666,577 USA Morus alba morus 2003 SAMN03081485 Mul-MD 134,146 6 2,520,555 USA Morus alba morus 2011 SAMN02630185 Ann-1 44,355 22 2,729,755 USA Nerium oleander sandyi SAMN03081476 Xf_ATCC_35879 500,648 2 2,522,328 USA Vitis vinifera fastidiosa 1987 SAMN02997312 DSM10026 89,916 11 2,431,652 USA Vitis vinifera fastidiosa 1987 SAMN05660380 EB92-1 44,355 22 2,729,755 USA Sambucus sp. -
Early Stages of Host Invasion by Pseudomonas Aeruginosa and Effect of Cyclic Diguanylate Signaling
EARLY STAGES OF HOST INVASION BY PSEUDOMONAS AERUGINOSA AND EFFECT OF CYCLIC DIGUANYLATE SIGNALING AYSHWARYA RAVICHANDRAN A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF BIOLOGICAL SCIENCES NATIONAL UNIVERSITY OF SINGAPORE 2010 ACKNOWLEDGEMENTS I express my heartfelt gratitude to my supervisor, A/P Sanjay Swarup for his constant guidance and supervision throughout the period of this project. I sincerely thank National University of Singapore for providing me with Research Scholarship to complete this project. I would also like to thank Research Centre for Excellence in Mechanobiology for funding part of this study and support. I am extremely thankful to Dr. Yasushi Ishihama , Keio University, Japan for performing phoshoproteome analysis on our samples without which my publication would not have been possible. Helium-ion imaging was conducted under Dr. Daniel Pickard and I am thankful for his guidance and facility. I extend my sincere gratitude to Dr. Gerard Michel , Centre National de la Recherche Scientifique , France for his kind gesture of sending antibodies and guidance in P. aeruginosa type II secretion system- related experiments. I would also like to thank Dr. Zhang Lian-Hui for providing workspace in his laboratory during the initial stages of this project and Dr. Ganesh Anand for his valuable scientific discussions time-to-time. I express my thanks to Malarmathy Ramachandran and Karen Lam who have been very instrumental in helping me with optimization of experimental methods used in this study. I express my gratitude to Protein and Proteomics centre for their mass spectrometry services, Electron microscopy and the confocal microscopy facilities at the Faculty of Medicine, and the Electron microscopy facility at Department of Biological Sciences. -
12) United States Patent (10
US007635572B2 (12) UnitedO States Patent (10) Patent No.: US 7,635,572 B2 Zhou et al. (45) Date of Patent: Dec. 22, 2009 (54) METHODS FOR CONDUCTING ASSAYS FOR 5,506,121 A 4/1996 Skerra et al. ENZYME ACTIVITY ON PROTEIN 5,510,270 A 4/1996 Fodor et al. MICROARRAYS 5,512,492 A 4/1996 Herron et al. 5,516,635 A 5/1996 Ekins et al. (75) Inventors: Fang X. Zhou, New Haven, CT (US); 5,532,128 A 7/1996 Eggers Barry Schweitzer, Cheshire, CT (US) 5,538,897 A 7/1996 Yates, III et al. s s 5,541,070 A 7/1996 Kauvar (73) Assignee: Life Technologies Corporation, .. S.E. al Carlsbad, CA (US) 5,585,069 A 12/1996 Zanzucchi et al. 5,585,639 A 12/1996 Dorsel et al. (*) Notice: Subject to any disclaimer, the term of this 5,593,838 A 1/1997 Zanzucchi et al. patent is extended or adjusted under 35 5,605,662 A 2f1997 Heller et al. U.S.C. 154(b) by 0 days. 5,620,850 A 4/1997 Bamdad et al. 5,624,711 A 4/1997 Sundberg et al. (21) Appl. No.: 10/865,431 5,627,369 A 5/1997 Vestal et al. 5,629,213 A 5/1997 Kornguth et al. (22) Filed: Jun. 9, 2004 (Continued) (65) Prior Publication Data FOREIGN PATENT DOCUMENTS US 2005/O118665 A1 Jun. 2, 2005 EP 596421 10, 1993 EP 0619321 12/1994 (51) Int. Cl. EP O664452 7, 1995 CI2O 1/50 (2006.01) EP O818467 1, 1998 (52) U.S.