Munro Peter D, Ackers Gary K, Shearwin Keith E
Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
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Biophys Rev. 2016 Dec;8(4):331-345. doi: 10.1007/s12551-016-0231-9. Epub 2016 Nov 7.
Protein-DNA interactions are central to the control of gene expression across all forms of life. The development of approaches to rigorously model such interactions has often been hindered both by a lack of quantitative binding data and by the difficulty in accounting for parameters relevant to the intracellular situation, such as DNA looping and thermodynamic non-ideality. Here, we review these considerations by developing a thermodynamically based mathematical model that attempts to simulate the functioning of an Escherichia coli expression system incorporating two of the best characterised prokaryotic DNA binding proteins, Lac repressor and lambda CI repressor. The key aim was to reproduce experimentally observed reporter gene activities arising from the expression of either wild-type CI repressor or one of three positive-control CI mutants. The model considers the role of several potentially important, but sometimes neglected, biochemical features, including DNA looping, macromolecular crowding and non-specific binding, and allowed us to obtain association constants for the binding of CI and its variants to a specific operator sequence.
蛋白质与DNA的相互作用是控制所有生命形式中基因表达的核心。由于缺乏定量结合数据以及难以考虑与细胞内情况相关的参数(如DNA环化和热力学非理想性),严格模拟此类相互作用的方法的发展常常受到阻碍。在此,我们通过开发一个基于热力学的数学模型来回顾这些因素,该模型试图模拟一个大肠杆菌表达系统的功能,该系统包含两种特征最明确的原核DNA结合蛋白,即乳糖阻遏物和λ CI阻遏物。关键目标是重现由野生型CI阻遏物或三个正调控CI突变体之一的表达所产生的实验观察到的报告基因活性。该模型考虑了几个潜在重要但有时被忽视的生化特征的作用,包括DNA环化、大分子拥挤和非特异性结合,并使我们能够获得CI及其变体与特定操纵序列结合的缔合常数。