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BMCBI
2007

Bioinformatic identification of novel putative photoreceptor specific cis-elements

10 years 1 months ago
Bioinformatic identification of novel putative photoreceptor specific cis-elements
Background: Cell specific gene expression is largely regulated by different combinations of transcription factors that bind cis-elements in the upstream promoter sequence. However, experimental detection of cis-elements is difficult, expensive, and time-consuming. This provides a motivation for developing bioinformatic methods to identify cis-elements that could prioritize future experimental studies. Here, we use motif discovery algorithms to predict transcription factor binding sites involved in regulating the differences between murine rod and cone photoreceptor populations. Results: To identify highly conserved motifs enriched in promoters that drive expression in either rod or cone photoreceptors, we assembled a set of murine rod-specific, cone-specific, and nonphotoreceptor background promoter sequences. These sets were used as input to a newly devised motif discovery algorithm called Iterative Alignment/Modular Motif Selection (IAMMS). Using IAMMS, we predicted 34 motifs that m...
Charles G. Danko, Vera A. McIlvain, Maochun Qin, B
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2007
Where BMCBI
Authors Charles G. Danko, Vera A. McIlvain, Maochun Qin, Barry E. Knox, Arkady M. Pertsov
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