Linking DNA-binding proteins to their recognition sequences by using protein microarrays
- 27 June 2006
- journal article
- Published by Proceedings of the National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 103 (26) , 9940-9945
- https://doi.org/10.1073/pnas.0509185103
Abstract
Analyses of whole-genome sequences and experimental data sets have revealed a large number of DNA sequence motifs that are conserved in many species and may be functional. However, methods of sufficient scale to explore the roles of these elements are lacking. We describe the use of protein arrays to identify proteins that bind to DNA sequences of interest. A microarray of 282 known and potential yeast transcription factors was produced and probed with oligonucleotides of evolutionarily conserved sequences that are potentially functional. Transcription factors that bound to specific DNA sequences were identified. One previously uncharacterized DNA-binding protein, Yjl103, was characterized in detail. We defined the binding site for this protein and identified a number of its target genes, many of which are involved in stress response and oxidative phosphorylation. Protein microarrays offer a high-throughput method for determining DNA–protein interactions.Keywords
This publication has 29 references indexed in Scilit:
- Finding Functional Features in Saccharomyces Genomes by Phylogenetic FootprintingScience, 2003
- Sequencing and comparison of yeast species to identify genes and regulatory elementsNature, 2003
- Complex transcriptional circuitry at the G1/S transition in Saccharomyces cerevisiaeGenes & Development, 2002
- Probabilistic Code for DNA Recognition by Proteins of the EGR FamilyJournal of Molecular Biology, 2002
- Functional profiling of the Saccharomyces cerevisiae genomeNature, 2002
- High-throughput SELEX–SAGE method for quantitative modeling of transcription-factor binding sitesNature Biotechnology, 2002
- Measuring absolute expression with microarrays with a calibrated reference sample and an extended signal intensity rangeProceedings of the National Academy of Sciences, 2002
- Assessing Gene Significance from cDNA Microarray Expression Data via Mixed ModelsJournal of Computational Biology, 2001
- Surveying Saccharomyces Genomes to Identify Functional Elements by Comparative DNA Sequence AnalysisGenome Research, 2001
- Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBFNature, 2001