Department of Physics and Astronomy and BioMaPS Institute for Quantitative Biology, Rutgers University, Piscataway, NJ 08854, USA.
Proc Natl Acad Sci U S A. 2010 Dec 7;107(49):20998-1003. doi: 10.1073/pnas.1003838107. Epub 2010 Nov 17.
We use genome-wide nucleosome maps to study sequence specificity of intrinsic histone-DNA interactions. In contrast with previous approaches, we employ an analogy between a classical one-dimensional fluid of finite-size particles in an arbitrary external potential and arrays of DNA-bound histone octamers. We derive an analytical solution to infer free energies of nucleosome formation directly from nucleosome occupancies measured in high-throughput experiments. The sequence-specific part of free energies is then captured by fitting them to a sum of energies assigned to individual nucleotide motifs. We have developed hierarchical models of increasing complexity and spatial resolution, establishing that nucleosome occupancies can be explained by systematic differences in mono- and dinucleotide content between nucleosomal and linker DNA sequences, with periodic dinucleotide distributions and longer sequence motifs playing a minor role. Furthermore, similar sequence signatures are exhibited by control experiments in which nucleosome-free genomic DNA is either sonicated or digested with micrococcal nuclease, making it possible that current predictions based on high-throughput nucleosome-positioning maps are biased by experimental artifacts.
我们使用全基因组核小体图谱来研究固有组蛋白-DNA 相互作用的序列特异性。与先前的方法不同,我们将经典的一维有限尺寸粒子流体与 DNA 结合的组蛋白八聚体阵列进行类比。我们推导出一种解析解,可以直接从高通量实验中测量的核小体占有率推断核小体形成的自由能。然后,通过将它们拟合到分配给各个核苷酸基序的能量总和来捕获自由能的序列特异性部分。我们已经开发了具有不同复杂性和空间分辨率的层次模型,确定核小体占有率可以通过核小体和连接 DNA 序列之间的单核苷酸和二核苷酸含量的系统差异来解释,具有周期性二核苷酸分布的序列和更长的序列基序的作用较小。此外,在核小体游离基因组 DNA 用超声处理或用微球菌核酸酶消化的对照实验中也表现出类似的序列特征,这使得基于高通量核小体定位图谱的当前预测可能受到实验假象的影响。