Literature DB >> 22639219

Biolog phenotype microarrays.

April Shea1, Mark Wolcott, Simon Daefler, David A Rozak.   

Abstract

Phenotype microarrays nicely complement traditional genomic, transcriptomic, and proteomic analysis by offering opportunities for researchers to ground microbial systems analysis and modeling in a broad yet quantitative assessment of the organism's physiological response to different metabolites and environments. Biolog phenotype assays achieve this by coupling tetrazolium dyes with minimally defined nutrients to measure the impact of hundreds of carbon, nitrogen, phosphorous, and sulfur sources on redox reactions that result from compound-induced effects on the electron transport chain. Over the years, we have used Biolog's reproducible and highly sensitive assays to distinguish closely related bacterial isolates, to understand their metabolic differences, and to model their metabolic behavior using flux balance analysis. This chapter describes Biolog phenotype microarray system components, reagents, and methods, particularly as they apply to bacterial identification, characterization, and metabolic analysis.

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Year:  2012        PMID: 22639219     DOI: 10.1007/978-1-61779-827-6_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  18 in total

1.  Deciphering the Function of New Gonococcal Vaccine Antigens Using Phenotypic Microarrays.

Authors:  Benjamin I Baarda; Sarah Emerson; Philip J Proteau; Aleksandra E Sikora
Journal:  J Bacteriol       Date:  2017-08-08       Impact factor: 3.490

Review 2.  Perspectives on Cultivation Strategies of Archaea.

Authors:  Yihua Sun; Yang Liu; Jie Pan; Fengping Wang; Meng Li
Journal:  Microb Ecol       Date:  2019-08-20       Impact factor: 4.552

3.  Polymorphic variation in susceptibility and metabolism of triclosan-resistant mutants of Escherichia coli and Klebsiella pneumoniae clinical strains obtained after exposure to biocides and antibiotics.

Authors:  Tânia Curiao; Emmanuela Marchi; Carlo Viti; Marco R Oggioni; Fernando Baquero; José Luis Martinez; Teresa M Coque
Journal:  Antimicrob Agents Chemother       Date:  2015-03-30       Impact factor: 5.191

4.  Characterization of the Widely Distributed Novel ECF42 Group of Extracytoplasmic Function σ Factors in Streptomyces venezuelae.

Authors:  Qiang Liu; Daniela Pinto; Thorsten Mascher
Journal:  J Bacteriol       Date:  2018-10-10       Impact factor: 3.490

5.  Metabolic and Genomic Traits of Phytobeneficial Phenazine-Producing Pseudomonas spp. Are Linked to Rhizosphere Colonization in Arabidopsis thaliana and Solanum tuberosum.

Authors:  Antoine Zboralski; Adrien Biessy; Marie-Claude Savoie; Amy Novinscak; Martin Filion
Journal:  Appl Environ Microbiol       Date:  2020-02-03       Impact factor: 4.792

6.  Elucidating the survival and response of carbapenem resistant Klebsiella pneumoniae after exposure to imipenem at sub-lethal concentrations.

Authors:  Ye Mun Low; Chun Wie Chong; Ivan Kok Seng Yap; Lay Ching Chai; Stuart C Clarke; Sasheela Ponnampalavanar; Kartini Abdul Jabar; Mohd Yasim Md Yusof; Cindy Shuan Ju Teh
Journal:  Pathog Glob Health       Date:  2018-10-31       Impact factor: 2.894

7.  The AraC-Type Transcriptional Regulator GliR (PA3027) Activates Genes of Glycerolipid Metabolism in Pseudomonas aeruginosa.

Authors:  Karolina Kotecka; Adam Kawalek; Kamil Kobylecki; Aneta Agnieszka Bartosik
Journal:  Int J Mol Sci       Date:  2021-05-11       Impact factor: 5.923

8.  Roseobacters in a Sea of Poly- and Paraphyly: Whole Genome-Based Taxonomy of the Family Rhodobacteraceae and the Proposal for the Split of the "Roseobacter Clade" Into a Novel Family, Roseobacteraceae fam. nov.

Authors:  Kevin Y H Liang; Fabini D Orata; Yann F Boucher; Rebecca J Case
Journal:  Front Microbiol       Date:  2021-06-25       Impact factor: 5.640

9.  Accumulation of inorganic polyphosphate enables stress endurance and catalytic vigour in Pseudomonas putida KT2440.

Authors:  Pablo I Nikel; Max Chavarría; Esteban Martínez-García; Anne C Taylor; Víctor de Lorenzo
Journal:  Microb Cell Fact       Date:  2013-05-20       Impact factor: 5.328

10.  SEED servers: high-performance access to the SEED genomes, annotations, and metabolic models.

Authors:  Ramy K Aziz; Scott Devoid; Terrence Disz; Robert A Edwards; Christopher S Henry; Gary J Olsen; Robert Olson; Ross Overbeek; Bruce Parrello; Gordon D Pusch; Rick L Stevens; Veronika Vonstein; Fangfang Xia
Journal:  PLoS One       Date:  2012-10-24       Impact factor: 3.240

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