Institute of Bioengineering, School of Engineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Nat Genet. 2013 Oct;45(10):1207-15. doi: 10.1038/ng.2729. Epub 2013 Aug 18.
The precise tuning of gene expression levels is essential for the optimal performance of transcriptional regulatory networks. We created 209 variants of the Saccharomyces cerevisiae PHO5 promoter to quantify how different binding sites for the transcription factor Pho4 affect its output. We found that transcription-factor binding affinities determined in vitro could quantitatively predict the output of a complex yeast promoter. Promoter output was precisely tunable by subtle changes in binding-site affinity of less than 3 kcal mol(-1), which are accessible by modifying 1-2 bases. Our results provide insights into how transcription-factor binding sites regulate gene expression, their possible evolution and how they can be used to precisely tune gene expression. More generally, we show that in vitro binding-energy landscapes of transcription factors can precisely predict the output of a native yeast promoter, indicating that quantitative models of transcriptional regulatory networks are feasible.
基因表达水平的精确调节对于转录调控网络的最佳性能至关重要。我们创建了 209 种酿酒酵母 PHO5 启动子的变体,以量化转录因子 Pho4 的不同结合位点如何影响其输出。我们发现,体外测定的转录因子结合亲和力可以定量预测复杂酵母启动子的输出。通过改变 1-2 个碱基,对结合位点亲和力进行小于 3 kcal mol(-1) 的细微改变,可以精确调节启动子的输出。我们的结果提供了关于转录因子结合位点如何调节基因表达、它们可能的进化以及如何用于精确调节基因表达的见解。更一般地说,我们表明,转录因子的体外结合能景观可以精确预测天然酵母启动子的输出,这表明转录调控网络的定量模型是可行的。