FB2026_03 , released September 17, 2026
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Citation
Papatsenko, D.A., Makeev, V.J., Lifanov, A.P., Regnier, M., Nazina, A.G., Desplan, C. (2002). Extraction of functional binding sites from unique regulatory regions: the Drosophila early developmental enhancers.  Genome Res. 12(3): 470--481.
FlyBase ID
FBrf0144917
Publication Type
Research paper
Abstract
The early developmental enhancers of Drosophila melanogaster comprise one of the most sophisticated regulatory systems in higher eukaryotes. An elaborate code in their DNA sequence translates both maternal and early embryonic regulatory signals into spatial distribution of transcription factors. One of the most striking features of this code is the redundancy of binding sites for these transcription factors (BSTF). Using this redundancy, we explored the possibility of predicting functional binding sites in a single enhancer region without any prior consensus/matrix description or evolutionary sequence comparisons. We developed a conceptually simple algorithm, Scanseq, that employs an original statistical evaluation for identifying the most redundant motifs and locates the position of potential BSTF in a given regulatory region. To estimate the biological relevance of our predictions, we built thorough literature-based annotations for the best-known Drosophila developmental enhancers and we generated detailed distribution maps for the most robust binding sites. The high statistical correlation between the location of BSTF in these experiment-based maps and the location predicted in silico by Scanseq confirmed the relevance of our approach. We also discuss the definition of true binding sites and the possible biological principles that govern patterning of regulatory regions and the distribution of transcriptional signals.
PubMed ID
PubMed Central ID
PMC155290 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Genome Res.
    Title
    Genome Research
    Publication Year
    1995-
    ISBN/ISSN
    1088-9051
    Data From Reference
    Genes (15)