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Biology Articles » Protistology » Fungus-like Protists » Global transcriptional responses to cisplatin in Dictyostelium discoideum identify potential drug targets (Abstract)

Global transcriptional responses to cisplatin in Dictyostelium discoideum identify potential drug targets (Abstract)

Global transcriptional responses to cisplatin in Dictyostelium discoideum identify potential drug targets

Van Driessche N, Alexander H, Min J, Kuspa A, Alexander S, Shaulsky G

Departments of Molecular and Human Genetics and Biochemistry and Molecular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030.

Dictyostelium discoideum is a useful model for studying mechanisms of cisplatin drug sensitivity. Our previous findings, that mutations in sphingolipid metabolism genes confer cisplatin resistance in D. discoideum and in human cells, raised interest in the resistance mechanisms and their implications for cisplatin chemotherapy. Here we used expression microarrays to monitor physiological changes and to identify pathways that are affected by cisplatin treatment of D. discoideum. We found >400 genes whose regulation was altered by cisplatin treatment of wild-type cells, including groups of genes that participate in cell proliferation and in nucleotide and protein metabolism, showing that the cisplatin response is orderly and multifaceted. Transcriptional profiling of two isogenic cisplatin-resistant mutants, impaired in different sphingolipid metabolism steps, showed that the effect of cisplatin treatment was greater than the effect of the mutations, indicating that cisplatin resistance in the mutants is due to specific abilities to overcome the drug effects rather than to general drug insensitivity. Nevertheless, the mutants exhibited significantly different responses to cisplatin compared with the parent, and >200 genes accounted for that difference. Mutations in five cisplatin response genes (sgkB, csbA, acbA, smlA, and atg8) resulted in altered drug sensitivity, implicating novel pathways in cisplatin response. Our data illustrate how modeling complex cellular responses to drugs in genetically stable and tractable systems can uncover new targets with the potential for improving chemotherapy.

Proc Natl Acad Sci U S A. 2007 Sep 18.


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