Program in Biophysics, Harvard University, Cambridge, MA 02138, USA.
Proc Natl Acad Sci U S A. 2012 Oct 9;109(41):16552-7. doi: 10.1073/pnas.1120452109. Epub 2012 Sep 25.
Proper timing of gene expression requires that transcription factors (TFs) efficiently locate and bind their target sites within a genome. Theoretical studies have long proposed that one-dimensional sliding along DNA while simultaneously reading its sequence can accelerate TF's location of target sites. Sliding by prokaryotic and eukaryotic TFs were subsequently observed. More recent theoretical investigations have argued that simultaneous reading and sliding is not possible for TFs without their possessing at least two DNA-binding modes. The tumor suppressor p53 has been shown to slide on DNA, and recent experiments have offered structural and single molecule support for a two-mode model for the protein. If the model is applicable to p53, then the requirement that TFs be able to read while sliding implies that noncognate sites will affect p53's mobility on DNA, which will thus be generally sequence-dependent. Here, we confirm this prediction with single-molecule microscopy measurements of p53's local diffusivity on noncognate DNA. We show how a two-mode model accurately predicts the variation in local diffusivity, while a single-mode model does not. We further determine that the best model of sequence-specific binding energy includes terms for "hemi-specific" binding, with one dimer of tetrameric p53 binding specifically to a half-site and the other binding nonspecifically to noncognate DNA. Our work provides evidence that the recognition by p53 of its targets and the timing thereof can depend on its noncognate binding properties and its ability to change between multiple modes of binding, in addition to the much better-studied effects of cognate-site binding.
基因表达的适时性要求转录因子(TFs)能够在基因组内有效地定位和结合其靶标位点。理论研究长期以来一直提出,在沿着 DNA 滑动的同时,同时读取其序列可以加速 TF 定位靶标位点。随后观察到原核和真核 TF 的滑动。最近的理论研究认为,如果 TF 不具有至少两种 DNA 结合模式,那么同时读取和滑动是不可能的。已经表明肿瘤抑制因子 p53 在 DNA 上滑动,最近的实验为该蛋白的两模式模型提供了结构和单分子支持。如果该模型适用于 p53,那么 TF 能够在滑动的同时读取的要求意味着非同源位点将影响 p53 在 DNA 上的迁移率,这将因此普遍依赖于序列。在这里,我们通过对 p53 在非同源 DNA 上局部扩散率的单分子显微镜测量来证实这一预测。我们展示了两模式模型如何准确地预测局部扩散率的变化,而单模式模型则不能。我们进一步确定,序列特异性结合能的最佳模型包括“半特异性”结合的术语,四聚体 p53 的两个二聚体特异性地结合半位点,而另一个二聚体非特异性地结合非同源 DNA。我们的工作提供了证据,表明 p53 对其靶标的识别及其时间可以取决于其非同源结合特性及其在多种结合模式之间转换的能力,除了对同源结合的影响研究得更好之外。