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  • *Metabolic Networks and Pathways  (1)
  • Animals  (1)
  • Polymer and Materials Science
  • American Association for the Advancement of Science (AAAS)  (2)
  • 1
    Publication Date: 1996-01-26
    Description: A subset of individuals with familial amyotrophic lateral sclerosis (FALS) possesses dominantly inherited mutations in the gene that encodes copper-zinc superoxide dismutase (CuZnSOD). A4V and G93A, two of the mutant enzymes associated with FALS, were shown to catalyze the oxidation of a model substrate (spin trap 5,5'-dimethyl-1-pyrroline N-oxide) by hydrogen peroxide at a higher rate than that seen with the wild-type enzyme. Catalysis of this reaction by A4V and G93A was more sensitive to inhibition by the copper chelators diethyldithiocarbamate and penicillamine than was catalysis by wild-type CuZnSOD. The same two chelators reversed the apoptosis-inducing effect of mutant enzymes expressed in a neural cell line. These results suggest that oxidative reactions catalyzed by mutant CuZnSOD enzymes initiate the neuropathologic changes in FALS.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wiedau-Pazos, M -- Goto, J J -- Rabizadeh, S -- Gralla, E B -- Roe, J A -- Lee, M K -- Valentine, J S -- Bredesen, D E -- AG12282/AG/NIA NIH HHS/ -- DK46828/DK/NIDDK NIH HHS/ -- GM28222/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 1996 Jan 26;271(5248):515-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Chemistry and Biochemistry, University of California, Los Angeles 90095, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/8560268" target="_blank"〉PubMed〈/a〉
    Keywords: Amyotrophic Lateral Sclerosis/*enzymology/genetics ; Animals ; Apoptosis/drug effects ; Binding Sites ; Catalysis ; Cell Line ; Chelating Agents/pharmacology ; Copper/metabolism ; Cyclic N-Oxides/metabolism ; Ditiocarb/pharmacology ; Humans ; Hydrogen Peroxide/metabolism ; Mutation ; Oxidation-Reduction ; Penicillamine/pharmacology ; Rats ; Superoxide Dismutase/genetics/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2009-10-10
    Description: We describe a sensitive metabolite array for genome sequence-independent functional analysis of metabolic phenotypes and networks, the reactomes, of cell populations and communities. The array includes 1676 dye-linked substrate compounds collectively representing central metabolic pathways of all forms of life. Application of cell extracts to the array leads to specific binding of enzymes to cognate substrates, transformation to products, and concomitant activation of the dye signals. Proof of principle was shown by reconstruction of the metabolic maps of model bacteria. Utility of the array for unsequenced organisms was demonstrated by reconstruction of the global metabolisms of three microbial communities derived from acidic volcanic pool, deep-sea brine lake, and hydrocarbon-polluted seawater. Enzymes of interest are captured on nanoparticles coated with cognate metabolites, sequenced, and their functions unequivocally established.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Beloqui, Ana -- Guazzaroni, Maria-Eugenia -- Pazos, Florencio -- Vieites, Jose M -- Godoy, Marta -- Golyshina, Olga V -- Chernikova, Tatyana N -- Waliczek, Agnes -- Silva-Rocha, Rafael -- Al-Ramahi, Yamal -- La Cono, Violetta -- Mendez, Carmen -- Salas, Jose A -- Solano, Roberto -- Yakimov, Michail M -- Timmis, Kenneth N -- Golyshin, Peter N -- Ferrer, Manuel -- New York, N.Y. -- Science. 2009 Oct 9;326(5950):252-7. doi: 10.1126/science.1174094.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉CSIC, Institute of Catalysis, 28049 Madrid, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19815770" target="_blank"〉PubMed〈/a〉
    Keywords: Archaea/genetics/metabolism ; Bacteria/genetics/*metabolism ; Bacterial Proteins/metabolism ; Computational Biology ; Ecosystem ; Enzymes/*metabolism ; Enzymes, Immobilized ; Genome, Archaeal ; *Genome, Bacterial ; Hot Springs/microbiology ; *Metabolic Networks and Pathways ; *Metabolome ; Metabolomics/*methods ; Microarray Analysis/*methods ; Nanoparticles ; Pseudomonas putida/genetics/metabolism ; Seawater/microbiology ; Streptomyces coelicolor/genetics/metabolism ; Water Microbiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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