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arXiv 0806.1860q-bio.BM
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转录调控中DNA环的浓度和长度依赖性

Concentration and Length Dependence of DNA Looping in Transcriptional Regulation

Lin Han, Hernan G. Garcia, Seth Blumberg, Kevin B. Towles, John F. Beausang, Philip C. Nelson, Rob Phillips

摘要:

在许多情况下,转录调节涉及转录因子在DNA上不紧邻感兴趣的启动子的位点处的结合。这种远距离的作用通常由DNA环的形成介导:在DNA上的两个或多个位点的结合导致环的形成,这可以将转录因子带到相关启动子的紧邻区域。虽然已经有各种各样的见解组合方面的转录控制,机制的DNA环作为一个代理的组合控制在原核生物和真核生物仍然不清楚。我们使用单分子技术来剖析乳糖操纵子中的DNA环。特别是,我们测量的DNA成环的Lac阻遏物的阻遏蛋白的浓度的函数和阻遏物结合位点之间的距离的函数的倾向。与早期的单分子研究一样,我们发现(至少)两个不同的环状状态,并证明这两个状态的存在取决于阻遏蛋白的浓度和两个阻遏物结合位点之间的距离。我们发现,即使在互操作器间距远短于DNA的持久性长度,没有任何其他蛋白质的干预,预弯曲的DNA的循环形式。浓度测量还允许我们使用DNA环形成的简单统计力学模型来确定DNA成环的自由能,或者等价地,成环的J因子。

英文摘要:

In many cases, transcriptional regulation involves the binding of transcription factors at sites on the DNA that are not immediately adjacent to the promoter of interest. This action at a distance is often mediated by the formation of DNA loops: Binding at two or more sites on the DNA results in the formation of a loop, which can bring the transcription factor into the immediate neighborhood of the relevant promoter. Though there have been a variety of insights into the combinatorial aspects of transcriptional control, the mechanism of DNA looping as an agent of combinatorial control in both prokaryotes and eukaryotes remains unclear. We use single-molecule techniques to dissect DNA looping in the lac operon. In particular, we measure the propensity for DNA looping by the Lac repressor as a function of the concentration of repressor protein and as a function of the distance between repressor binding sites. As with earlier single-molecule studies, we find (at least) two distinct looped states and demonstrate that the presence of these two states depends both upon the concentration of repressor protein and the distance between the two repressor binding sites. We find that loops form even at interoperator spacings considerably shorter than the DNA persistence length, without the intervention of any other proteins to prebend the DNA. The concentration measurements also permit us to use a simple statistical mechanical model of DNA loop formation to determine the free energy of DNA looping, or equivalently, the J-factor for looping.

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