Literature DB >> 11435407

Phenotype microarrays for high-throughput phenotypic testing and assay of gene function.

B R Bochner1, P Gadzinski, E Panomitros.   

Abstract

The bacterium Escherichia coli is used as a model cellular system to test and validate a new technology called Phenotype MicroArrays (PMs). PM technology is a high-throughput technology for simultaneous testing of a large number of cellular phenotypes. It consists of preconfigured well arrays in which each well tests a different cellular phenotype and an automated instrument that continuously monitors and records the response of the cells in all wells of the arrays. For example, nearly 700 phenotypes of E. coli can be assayed by merely pipetting a cell suspension into seven microplate arrays. PMs can be used to directly assay the effects of genetic changes on cells, especially gene knock-outs. Here, we provide data on phenotypic analysis of six strains and show that we can detect expected phenotypes as well as, in some cases, unexpected phenotypes.

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Year:  2001        PMID: 11435407      PMCID: PMC311101          DOI: 10.1101/gr.186501

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  26 in total

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Journal:  J Bacteriol       Date:  1992-01       Impact factor: 3.490

7.  Nucleotide sequence and exact localization of the neomycin phosphotransferase gene from transposon Tn5.

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Journal:  Gene       Date:  1982-10       Impact factor: 3.688

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Journal:  J Immunol Methods       Date:  1983-12-16       Impact factor: 2.303

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Authors:  E A Groisman; F Heffron; F Solomon
Journal:  J Bacteriol       Date:  1992-01       Impact factor: 3.490

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Journal:  Appl Environ Microbiol       Date:  1985-01       Impact factor: 4.792

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  281 in total

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2.  Phenotype microarray analysis of Escherichia coli K-12 mutants with deletions of all two-component systems.

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Review 3.  Metabolic profiles to define the genome: can we hear the phenotypes?

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5.  Coordinated phenotype switching with large-scale chromosome flip-flop inversion observed in bacteria.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

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Review 7.  Systematizing the generation of missing metabolic knowledge.

Authors:  Jeffrey D Orth; Bernhard Ø Palsson
Journal:  Biotechnol Bioeng       Date:  2010-10-15       Impact factor: 4.530

8.  Statistical methods for comparative phenomics using high-throughput phenotype microarrays.

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9.  The role of activated acetate intermediates in the control of Escherichia coli biofilm amounts.

Authors:  Robert Mugabi; Daniel Sandgren; Megan Born; Ian Leith; Shelley M Horne; Birgit M Prüβ
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10.  Characterization of the Escherichia coli AaeAB efflux pump: a metabolic relief valve?

Authors:  Tina K Van Dyk; Lori J Templeton; Keith A Cantera; Pamela L Sharpe; F Sima Sariaslani
Journal:  J Bacteriol       Date:  2004-11       Impact factor: 3.490

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