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Prepublished online as a Blood First Edition Paper on September 26, 2002; DOI 10.1182/blood-2002-07-2140.

Submitted July 18, 2002
Accepted August 15, 2002
Relationships and distinctions in iron regulatory networks responding to interrelated signals
Martina Muckenthaler, Alexandra Richter, Niki Gunkel, Dieter Riedel, Maria Polycarpou-Schwarz, Sabine Hentze, Mechthild Falkenhahn, Wolfgang Stremmel, Wilhelm Ansorge, and Matthias W Hentze*
Department of Gene Expression, European Molecular Biology Laboratory, Heidelberg, Germany
Intervet International, Schwabenheim, Germany
Department of Medicine, University of Heidelberg, Heidelberg, Germany
Department of Biocomputing, Krebsforschungszentrum, Heidelberg, Germany
* Corresponding author; email: hentze{at}embl-heidelberg.de.
Specialized cDNA-based microarrays were developed to investigate complex physiological gene regulatory patterns in iron metabolism. Approximately 120 human cDNAs were strategically selected to represent genes involved either in iron metabolism or in interlinked pathways (e.g. oxidative stress, NO metabolism or copper metabolism), and immobilized on glass slides. HeLa cells were treated with iron donors or iron chelators, or were subjected to oxidative stress (H2O2) or NO (sodiumnitroprusside). In addition, we generated a stable transgenic HeLa cell line expressing the HFE gene under an inducible promoter. Gene response patterns were recorded for all of these interrelated experimental stimuli, and analyzed for common and distinct responses that define signal-specific regulatory patterns. The resulting regulatory patterns reveal and define degrees of relationship between distinct signals. Remarkably, the gene responses elicited by the altered expression of the hemochromatosis protein HFE and by pharmacological iron chelation exhibit the highest degree of relatedness, both for IRP- and non-IRP target genes. This finding suggests that HFE expression directly affects the intracellular chelatable iron pool in the transgenic cell line. Furthermore, cells treated with the iron donors hemin or ferric ammonium citrate display response patterns that permit the identification of the iron loaded state in both cases, and to discriminate between the sources of iron loading. These findings also demonstrate the broad utility of gene expression profiling with the "IronChip" to study iron metabolism and related human diseases.

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