通过分子模型鉴定SOX2与核小体的潜在结合位点

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology
T. A. Romanova, D. M. Ryabov, G. A. Komarova, A. K. Shaytan, G. A. Armeev
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引用次数: 0

摘要

先锋SOX2转录因子通过与浓缩染色质结合并诱导其去浓缩,在基因表达调控中发挥重要作用。关于SOX2在核小体中与DNA结合的首选位置的实验数据是矛盾的:在一些研究中,首选结合核小体DNA的内段,在其他研究中,它结合边缘段。在这项工作的框架内,通过分子建模分析了SOX2在距离核小体中心不同距离(由超螺旋位置参数SHL决定)和相对于核小体中心的不同结合位点方向(由SHL符号决定)上与核小体DNA结合的所有可能变体。结果表明,在完整的核小体上,可以在SHL +2、SHL±4和SHL±5位点上结合,但如果我们假设核小体DNA移动了一对核苷酸,则可以在对应于SHL所有整数值的位置上结合。这一观察结果有助于解释实验数据之间的一些矛盾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of Potential SOX2 Binding Sites to Nucleosomes via Molecular Modeling

Identification of Potential SOX2 Binding Sites to Nucleosomes via Molecular Modeling

The pioneer SOX2 transcription factor plays an important role in the regulation of gene expression by binding to condensed chromatin and inducing its decondensation. Experimental data on the preferred positions of SOX2 binding to DNA in the context of the nucleosome are contradictory: in some studies, binding to the inner segments of nucleosomal DNA is preferred, in others it binds to the edge segments. In the framework of this work, all possible variants of SOX2 binding to nucleosomal DNA at different distances from the nucleosome center (determined by the superhelix position parameter, SHL) and different orientations of the binding site relative to the nucleosome center (determined by the SHL sign) were analyzed by molecular modeling. It was shown that on an intact nucleosome binding is possible at positions SHL +2, SHL ±4, and SHL ±5, but if we assume a shift of nucleosomal DNA by one pair of nucleotides, binding becomes possible at positions corresponding to all integer values of the SHL. This observation helps to explain some of the contradictions between the experimental data.

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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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