1. Automated protein-DNA interaction screening of Drosophila regulatory elements
- Author
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Bart Deplancke, Korneel Hens, Julien Bryois, Susan E. Celniker, Antonina Iagovitina, Patrick Callaerts, Andreas Massouras, Alina Isakova, and Jean-Daniel Feuz
- Subjects
Microfluidics ,Sine-Oculis ,Network ,Twin-Of-Eyeless ,Biology ,Gene ,Biochemistry ,Trans-regulatory element ,Article ,Database ,Automation ,Open Reading Frames ,03 medical and health sciences ,0302 clinical medicine ,Two-Hybrid System Techniques ,Melanogaster ,Sequence ,Animals ,Drosophila Proteins ,Protein–DNA interaction ,Regulatory Elements, Transcriptional ,Enhancer ,Molecular Biology ,Transcription factor ,030304 developmental biology ,Visual-System ,Regulation of gene expression ,Genetics ,0303 health sciences ,Binding Sites ,REDfly ,Reproducibility of Results ,DNA ,Cell Biology ,High-Throughput Screening Assays ,DNA-Binding Proteins ,Drosophila melanogaster ,030217 neurology & neurosurgery ,Drosophila Protein ,Transcription Factors ,Biotechnology - Abstract
Drosophila melanogaster has one of the best characterized metazoan genomes in terms of functionally annotated regulatory elements. To explore how these elements contribute to gene regulation in the context of gene regulatory networks, we need convenient tools to identify the proteins that bind to them. Here, we present the development and validation of a highly automated protein-DNA interaction detection method, enabling the high-throughput yeast one-hybrid-based screening of DNA elements versus an array of full-length, sequence-verified clones containing 647 (over 85%) of predicted Drosophila transcription factors (TFs). Using six well-characterized regulatory elements (82 bp – 1kb), we identified 33 TF-DNA interactions of which 27 are novel. To simultaneously validate these interactions and locate their binding sites of involved TFs, we implemented a novel microfluidics-based approach that enables us to conduct hundreds of gel shift-like assays at once, thus allowing the retrieval of DNA occupancy data for each TF throughout the respective target DNA elements. Finally, we biologically validate several interactions and specifically identify two novel regulators of sine oculis gene expression and hence eye development.
- Published
- 2011
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