Nature Genetics
- 38, 1159 - 1165 (2006)
Published online: 17 September 2006; | doi:10.1038/ng1886
Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped geneHilde Janssens1, Shuling Hou2, Johannes Jaeger1, Ah-Ram Kim1, Ekaterina Myasnikova3, David Sharp4 & John Reinitz11
Department of Applied Mathematics and Statistics, and Center for Developmental Genetics, Stony Brook University, Stony Brook, New York 11794-3600, USA. 2
Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA. 3
Department of Computational Biology, Center of Advanced Studies, St. Petersburg State Polytechnic University, St. Petersburg 195251, Russia. 4
Chief Science Office, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
Correspondence should be addressed to John Reinitz reinitz@odd.bio.sunysb.edu Here we present a quantitative and predictive model of the transcriptional readout of the proximal 1.7 kb of the control region of the Drosophila melanogaster gene even skipped (eve). The model is based on the positions and sequence of individual binding sites on the DNA and quantitative, time-resolved expression data at cellular resolution. These data demonstrated new expression features, first reported here. The model correctly predicts the expression patterns of mutations in trans, as well as point mutations, insertions and deletions in cis. It also shows that the nonclassical expression of stripe 7 driven by this fragment is activated by the protein Caudal (Cad), and repressed by the proteins Tailless (Tll) and Giant (Gt).
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