Literature DB >> 12121991

Reproducibility of oligonucleotide microarray transcriptome analyses. An interlaboratory comparison using chemostat cultures of Saccharomyces cerevisiae.

Matthew D W Piper1, Pascale Daran-Lapujade, Christoffer Bro, Birgitte Regenberg, Steen Knudsen, Jens Nielsen, Jack T Pronk.   

Abstract

Assessment of reproducibility of DNA-microarray analysis from published data sets is complicated by the use of different microbial strains, cultivation techniques, and analytical procedures. Because intra- and interlaboratory reproducibility is highly relevant for application of DNA-microarray analysis in functional genomics and metabolic engineering, we designed a set of experiments to specifically address this issue. Saccharomyces cerevisiae CEN.PK113-7D was grown under defined conditions in glucose-limited chemostats, followed by transcriptome analysis with Affymetrix GeneChip arrays. In each of the laboratories, three independent replicate cultures were grown aerobically as well as anaerobically. Although variations introduced by in vitro handling steps were small and unbiased, greater variation from replicate cultures underscored that, to obtain reliable information, experimental replication is essential. Under aerobic conditions, 86% of the most highly expressed yeast genes showed an average intralaboratory coefficient of variation of 0.23. This is significantly lower than previously reported for shake-flask-culture transcriptome analyses and probably reflects the strict control of growth conditions in chemostats. Using the triplicate data sets and appropriate statistical analysis, the change calls from anaerobic versus aerobic comparisons yielded an over 95% agreement between the laboratories for transcripts that changed by over 2-fold, leaving only a small fraction of genes that exhibited laboratory bias.

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Year:  2002        PMID: 12121991     DOI: 10.1074/jbc.M204490200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  86 in total

1.  Validation of a novel, fully integrated and flexible microarray benchtop facility for gene expression profiling.

Authors:  Michael Baum; Simone Bielau; Nicole Rittner; Kathrin Schmid; Kathrin Eggelbusch; Michael Dahms; Andrea Schlauersbach; Harald Tahedl; Markus Beier; Ramon Güimil; Matthias Scheffler; Carsten Hermann; Jörg-Michael Funk; Anke Wixmerten; Hans Rebscher; Matthias Hönig; Claas Andreae; Daniel Büchner; Erich Moschel; Andreas Glathe; Evelyn Jäger; Marc Thom; Andreas Greil; Felix Bestvater; Frank Obermeier; Josef Burgmaier; Klaus Thome; Sigrid Weichert; Silke Hein; Tim Binnewies; Volker Foitzik; Manfred Müller; Cord Friedrich Stähler; Peer Friedrich Stähler
Journal:  Nucleic Acids Res       Date:  2003-12-01       Impact factor: 16.971

2.  Transcriptional programs of early reproductive stages in Arabidopsis.

Authors:  Lars Hennig; Wilhelm Gruissem; Ueli Grossniklaus; Claudia Köhler
Journal:  Plant Physiol       Date:  2004-07-09       Impact factor: 8.340

3.  Whole-genome expression profiling of Thermotoga maritima in response to growth on sugars in a chemostat.

Authors:  Tu N Nguyen; Arvin D Ejaz; Mark A Brancieri; Amy M Mikula; Karen E Nelson; Steven R Gill; Kenneth M Noll
Journal:  J Bacteriol       Date:  2004-07       Impact factor: 3.490

4.  Comparison of transcript profiling on Arabidopsis microarray platform technologies.

Authors:  Jeffrey D Pylatuik; Pierre R Fobert
Journal:  Plant Mol Biol       Date:  2005-07       Impact factor: 4.076

5.  Genome-wide transcriptional variation within and between steady states for continuous growth of the hyperthermophile Thermotoga Maritima.

Authors:  Keith R Shockley; Kevin L Scott; Marybeth A Pysz; Shannon B Conners; Matthew R Johnson; Clemente I Montero; Russell D Wolfinger; Robert M Kelly
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

6.  pH regulates genes for flagellar motility, catabolism, and oxidative stress in Escherichia coli K-12.

Authors:  Lisa M Maurer; Elizabeth Yohannes; Sandra S Bondurant; Michael Radmacher; Joan L Slonczewski
Journal:  J Bacteriol       Date:  2005-01       Impact factor: 3.490

7.  Improvement of galactose uptake in Saccharomyces cerevisiae through overexpression of phosphoglucomutase: example of transcript analysis as a tool in inverse metabolic engineering.

Authors:  Christoffer Bro; Steen Knudsen; Birgitte Regenberg; Lisbeth Olsson; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2005-11       Impact factor: 4.792

Review 8.  Microbial metabolomics: replacing trial-and-error by the unbiased selection and ranking of targets.

Authors:  Mariët J van der Werf; Renger H Jellema; Thomas Hankemeier
Journal:  J Ind Microbiol Biotechnol       Date:  2005-05-14       Impact factor: 3.346

9.  Mechanism of de novo branched-chain amino acid synthesis as an alternative electron sink in hypoxic Aspergillus nidulans cells.

Authors:  Motoyuki Shimizu; Tatsuya Fujii; Shunsuke Masuo; Naoki Takaya
Journal:  Appl Environ Microbiol       Date:  2010-01-15       Impact factor: 4.792

10.  Nutritional homeostasis in batch and steady-state culture of yeast.

Authors:  Alok J Saldanha; Matthew J Brauer; David Botstein
Journal:  Mol Biol Cell       Date:  2004-07-07       Impact factor: 4.138

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