Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped gene

被引:158
作者
Janssens, Hilde
Hou, Shuling
Jaeger, Johannes
Kim, Ah-Ram
Myasnikova, Ekaterina
Sharp, David
Reinitz, John [1 ]
机构
[1] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA
[2] SUNY Stony Brook, Ctr Dev Genet, Stony Brook, NY 11794 USA
[3] Los Alamos Natl Lab, Div Theoret, Los Alamos, NM 87545 USA
[4] St Petersburg State Polytech Univ, Ctr Adv Studies, Dept Computat Biol, St Petersburg 195251, Russia
[5] Los Alamos Natl Lab, Chief Sci Off, Los Alamos, NM 87545 USA
关键词
D O I
10.1038/ng1886
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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 (TII) and Giant (Gt).
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页码:1159 / 1165
页数:7
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