4.8 Article

Improved protein-binding microarrays for the identification of DNA-binding specificities of transcription factors

期刊

PLANT JOURNAL
卷 66, 期 4, 页码 700-711

出版社

WILEY-BLACKWELL
DOI: 10.1111/j.1365-313X.2011.04519.x

关键词

protein binding microarray; DNA-binding; transcription factor; cis-element; genomics; transcriptional code

资金

  1. CSIC
  2. Ministerio de Ciencia e Innovacion [BIO2004-02502, BIO2007-66935, GEN2003-20218-C02-02, CSD2007-00057-B]

向作者/读者索取更多资源

Transcriptional regulation depends on the specificity of transcriptional factors (TFs) recognizing cis regulatory sequences n the promoters of target genes. Current knowledge about DNA-binding specificities of TFs is based mostly on low to medium-throughput methodologies, revealing DNA motifs bound by a TF with high affinity. These strategies are time-consuming and often fail to identity DNA motifs recognized by a TF with lower affinity but retaining biological relevance, Here we report on the development of a protein-binding microarray (PBM11) containing all possible double-stranded 11-mers for the determination of DNA-binding specificities of TFs. The large number of sequences n the PBM11 allows accurate and high-throughput quantification of TF-binding sites, outperforming previous methods. We applied this too to determine binding site specificities of two Arabidopsis TFs, MYC2 and ERF1, rendering the G-box and the GCC-box, respectively, as their highest-affinity binding sites. In addition, we identified variants of the G-box recognized by MYC2 with high and medium affinity, whereas ERF1 only recognized GCC variants with low affinity, indicating that ERF1 binding to DNA has stricter base requirements than MYC2. Analysis of transcriptomic data revealed that high and medium-affinity binding sites have biological-significance, probably representing relevant cis-acting elements in vivo. Comparison of promoter sequences with putative orthologs from closely related species demonstrated a high degree of conservation of all the identified DNA elements. The combination of PBM11, transcriptomic data and phylogenomic footprinting provides a straightforward method for the prediction of biologically active cis-elements, and thus for identification of in vivo DNA targets of TFs.

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