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Originally published In Press as doi:10.1074/jbc.M002247200 on June 27, 2000

J. Biol. Chem., Vol. 275, Issue 38, 29672-29684, September 22, 2000
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Global Gene Expression Profiling in Escherichia coli K12
THE EFFECTS OF INTEGRATION HOST FACTOR*,

Stuart M. ArfinDagger , Anthony D. Long§, Elaine T. Ito, Lorenzo Tolleri, Michelle M. Riehle§, Eriks S. Paegle||, and G. Wesley Hatfield

From the Dagger  Departments of Biological Chemistry and  Microbiology and Molecular Genetics, College of Medicine, § Department of Ecology and Evolutionary Biology, School of Biological Sciences, and || Department of Chemical Engineering and Material Sciences, School of Engineering, University of California, Irvine, California, 92697

We have used nylon membranes spotted in duplicate with full-length polymerase chain reaction-generated products of each of the 4,290 predicted Escherichia coli K12 open reading frames (ORFs) to measure the gene expression profiles in otherwise isogenic integration host factor IHF+ and IHF- strains. Our results demonstrate that random hexamer rather than 3' ORF-specific priming of cDNA probe synthesis is required for accurate measurement of gene expression levels in bacteria. This is explained by the fact that the currently available set of 4,290 unique 3' ORF-specific primers do not hybridize to each ORF with equal efficiency and by the fact that widely differing degradation rates (steady-state levels) are observed for the 25-base pair region of each message complementary to each ORF-specific primer. To evaluate the DNA microarray data reported here, we used a linear analysis of variance (ANOVA) model appropriate for our experimental design. These statistical methods allowed us to identify and appropriately correct for experimental variables that affect the reproducibility and accuracy of DNA microarray measurements and allowed us to determine the statistical significance of gene expression differences between our IHF+ and IHF- strains. Our results demonstrate that small differences in gene expression levels can be accurately measured and that the significance of differential gene expression measurements cannot be assessed simply by the magnitude of the fold difference. Our statistical criteria, supported by excellent agreement between previously determined effects of IHF on gene expression and the results reported here, have allowed us to identify new genes regulated by IHF with a high degree of confidence.


* This work was supported in part by National Institutes of Health Grant GM55073 (to G. W. H.).The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

The on-line version of this article (available at http://www.jbc.org) contains a supplemental figure.


Copyright © 2000 by The American Society for Biochemistry and Molecular Biology, Inc.
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