Literature DB >> 24515365

Biolog Phenotype Microarrays for phenotypic characterization of microbial cells.

Amanda M Mackie1, Karl A Hassan, Ian T Paulsen, Sasha G Tetu.   

Abstract

Biolog Phenotype MicroArrays for microorganisms provide a high-throughput method for the global analysis of microbial growth phenotypes. Using a colorimetric reaction that is indicative of respiration, these microplate assays measure the response of an individual strain or microbial community to a large and diverse range of nutrients and chemicals. Phenotype MicroArrays have been used to study gene function and to improve genome annotation in single microorganisms and for physiological profiling of bacterial communities. The microplate system can be used to obtain a comprehensive overview of metabolic capability, or it can be tailored, through the use of subsets of plates, to address specific research needs.

Mesh:

Substances:

Year:  2014        PMID: 24515365     DOI: 10.1007/978-1-62703-712-9_10

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


  13 in total

Review 1.  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

2.  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

3.  Construction of a synthetic Saccharomyces cerevisiae pan-genome neo-chromosome.

Authors:  Dariusz R Kutyna; Cristobal A Onetto; Thomas C Williams; Hugh D Goold; Ian T Paulsen; Isak S Pretorius; Daniel L Johnson; Anthony R Borneman
Journal:  Nat Commun       Date:  2022-06-24       Impact factor: 17.694

4.  Effect of Exposure to Chlorhexidine Residues at "During Use" Concentrations on Antimicrobial Susceptibility Profile, Efflux, Conjugative Plasmid Transfer, and Metabolism of Escherichia coli.

Authors:  R Wesgate; S Fanning; Y Hu; J-Y Maillard
Journal:  Antimicrob Agents Chemother       Date:  2020-11-17       Impact factor: 5.191

5.  Homologs of the Acinetobacter baumannii AceI transporter represent a new family of bacterial multidrug efflux systems.

Authors:  Karl A Hassan; Qi Liu; Peter J F Henderson; Ian T Paulsen
Journal:  mBio       Date:  2015-02-10       Impact factor: 7.867

6.  Oncometabolic mutation IDH1 R132H confers a metformin-hypersensitive phenotype.

Authors:  Elisabet Cuyàs; Salvador Fernández-Arroyo; Bruna Corominas-Faja; Esther Rodríguez-Gallego; Joaquim Bosch-Barrera; Begoña Martin-Castillo; Rafael De Llorens; Jorge Joven; Javier A Menendez
Journal:  Oncotarget       Date:  2015-05-20

7.  Identifying feasible metabolic routes in Mycobacterium smegmatis and possible alterations under diverse nutrient conditions.

Authors:  Priyanka Baloni; Jyothi Padiadpu; Anupam Singh; Kuldeepkumar R Gupta; Nagasuma Chandra
Journal:  BMC Microbiol       Date:  2014-11-18       Impact factor: 3.605

8.  The nutritional phenome of EMT-induced cancer stem-like cells.

Authors:  Elisabet Cuyàs; Bruna Corominas-Faja; Javier A Menendez
Journal:  Oncotarget       Date:  2014-06-30

9.  Metabolic phenotype of clinical and environmental Mycobacterium avium subsp. hominissuis isolates.

Authors:  Andrea Sanchini; Flavia Dematheis; Torsten Semmler; Astrid Lewin
Journal:  PeerJ       Date:  2017-01-03       Impact factor: 2.984

10.  A genome-scale metabolic flux model of Escherichia coli K-12 derived from the EcoCyc database.

Authors:  Daniel S Weaver; Ingrid M Keseler; Amanda Mackie; Ian T Paulsen; Peter D Karp
Journal:  BMC Syst Biol       Date:  2014-06-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.