Protein-binding microarray analysis of tumor suppressor AP2α target gene specificity

Cheap and massively parallel methods to assess the DNA-binding specificity of transcription factors are actively sought, given their prominent regulatory role in cellular processes and diseases. Here we evaluated the use of protein-binding microarrays (PBM) to probe the association of the tumor supp...

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Published inPloS one Vol. 6; no. 8; p. e22895
Main Authors Kerschgens, Jan, Renaud, Stéphanie, Schütz, Frédéric, Grasso, Luigino, Egener-Kuhn, Tanja, Delaloye, Jean-François, Lehr, Hans-Anton, Vogel, Horst, Mermod, Nicolas
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 2011
Public Library of Science (PLoS)
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Summary:Cheap and massively parallel methods to assess the DNA-binding specificity of transcription factors are actively sought, given their prominent regulatory role in cellular processes and diseases. Here we evaluated the use of protein-binding microarrays (PBM) to probe the association of the tumor suppressor AP2α with 6000 human genomic DNA regulatory sequences. We show that the PBM provides accurate relative binding affinities when compared to quantitative surface plasmon resonance assays. A PBM-based study of human healthy and breast tumor tissue extracts allowed the identification of previously unknown AP2α target genes and it revealed genes whose direct or indirect interactions with AP2α are affected in the diseased tissues. AP2α binding and regulation was confirmed experimentally in human carcinoma cells for novel target genes involved in tumor progression and resistance to chemotherapeutics, providing a molecular interpretation of AP2α role in cancer chemoresistance. Overall, we conclude that this approach provides quantitative and accurate assays of the specificity and activity of tumor suppressor and oncogenic proteins in clinical samples, interfacing genomic and proteomic assays.
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Conceived and designed the experiments: JFD HAL HV NM. Performed the experiments: JK SR LG TEK. Analyzed the data: JK SR FS LG TEK JFD HAL HV NM. Contributed reagents/materials/analysis tools: JFD HAL. Wrote the paper: JK SR TEK NM.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0022895