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Series GSE4008

Query DataSets for GSE4008

Status

Public on Jan 11, 2006

Title

Genome-Wide Identification of Direct Targets of the Drosophila Retinal Determination Protein Eyeless

Organism

Drosophila melanogaster

Experiment type

Expression profiling by array

Summary

The discovery of direct downstream targets of transcription factors (TFs) is necessary for understanding the genetic mechanisms underlying complex, highly regulated processes such as development. In this report, we have used a combinatorial strategy to conduct a genome-wide search for novel direct targets of Eyeless (Ey), a key transcription factor controlling early eye development in Drosophila. Like many other TFs, little is known for Ey direct downstream targets. To date, only one gene, sine oculis (so), has been identified as Ey direct targets in Drosophila. Therefore, it is crucial to identify additional targets in order to gain a better understanding of ey function. To overcome the lack of high quality consensus binding site sequences, phylogenetic shadowing of Ey binding sites in so was used to construct a position weight matrix (PWM) of the Ey protein. This PWM was then used for in silico prediction of potential binding sites in the Drosophila melanogaster genome. To reduce the false positive rate, conservation of these potential binding sites was assessed by comparing the genomic sequences from seven Drosophila species. In parallel, microarray analysis of wild-type versus ectopic ey-expressing tissue, followed by microarray-based epistasis experiments in an atonal (ato) mutant background, identified 188 genes induced by ey. Intersection of in silico predicted conserved Ey binding sites with the candidate gene list produced through expression profiling yields a list of 20 putative ey-induced, eye-enriched, ato-independent, direct targets of Ey, including so. The accuracy of this list of genes was confirmed using both in vitro and in vivo methods. Initial analysis reveals three genes, eyes absent, shifted, and Optix, as novel direct targets of Ey. These results suggest that the integrated strategy of computational biology, genomics, and genetics is a powerful approach that can be applied to systematically identify direct downstream targets for any transcription factor genome-wide.
Keywords: genetic modification, cell type comparison

Overall design

biological triplicates were done for all samples

Citation(s)

16533912

Submission date

Jan 10, 2006

Last update date

May 04, 2018

Contact name

rui chen

E-mail(s)

[email protected]