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果蝇even skipped基因转录调控的定量和预测模型。

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

作者信息

Janssens Hilde, Hou Shuling, Jaeger Johannes, Kim Ah-Ram, Myasnikova Ekaterina, Sharp David, Reinitz John

机构信息

Department of Applied Mathematics and Statistics, and Center for Developmental Genetics, Stony Brook University, Stony Brook, New York 11794-3600, USA.

出版信息

Nat Genet. 2006 Oct;38(10):1159-65. doi: 10.1038/ng1886. Epub 2006 Sep 17.

DOI:10.1038/ng1886
PMID:16980977
Abstract

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).

摘要

在此,我们展示了黑腹果蝇基因even skipped(eve)控制区近端1.7 kb转录读出的定量预测模型。该模型基于DNA上单个结合位点的位置和序列以及细胞分辨率下的定量、时间分辨表达数据。这些数据展示了在此首次报道的新表达特征。该模型能正确预测反式突变以及顺式点突变、插入和缺失的表达模式。它还表明,由该片段驱动的条纹7的非经典表达由蛋白质Caudal(Cad)激活,并由蛋白质Tailless(Tll)和Giant(Gt)抑制。

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Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped gene.果蝇even skipped基因转录调控的定量和预测模型。
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