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Radial Arrangement of Chromosome Territories in Human Cell Nuclei: A Computer Model Approach Based on Gene Density Indicates a Probabilistic Global Positioning Code

机译:人类细胞核中染色体区域的径向排列:基于基因密度的计算机模型方法表明概率全球定位代码

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摘要

Numerous investigations in the last years focused on chromosome arrangements in interphase nuclei. Recent experiments concerning the radial positioning of chromosomes in the nuclear volume of human and primate lymphocyte cells suggest a relationship between the gene density of a chromosome territory (CT) and its distance to the nuclear center. To relate chromosome positioning and gene density in a quantitative way, computer simulations of whole human cell nuclear genomes of normal karyotype were performed on the basis of the spherical 1 Mbp chromatin domain model and the latest data about sequence length and gene density of chromosomes. Three different basic assumptions about the initial distribution of chromosomes were used: a statistical, a deterministic, and a probabilistic initial distribution. After a simulated decondensation in early G1, a comparison of the radial distributions of simulated and experimentally obtained data for CTs Nos. 12, 18, 19, and 20 was made. It was shown that the experimentally observed distributions can be fitted better assuming an initial probabilistic distribution. This supports the concept of a probabilistic global gene positioning code depending on CT sequence length and gene density.
机译:近年来,许多研究集中在相间核中的染色体排列上。关于染色体在人类和灵长类淋巴细胞的核体积中的放射状定位的最新实验表明,染色体区域(CT)的基因密度与其到核中心的距离之间存在关联。为了定量地确定染色体的位置和基因密度,在球形1 Mbp染色质结构域模型和有关染色体序列长度和基因密度的最新数据的基础上,对正常核型的整个人类细胞核基因组进行了计算机模拟。关于染色体的初始分布,使用了三种不同的基本假设:统计的,确定的和概率的初始分布。在G1早期进行模拟冷凝之后,对12号,18号,19号和20号CT的模拟和实验获得的数据的径向分布进行了比较。结果表明,假设初始概率分布,可以更好地拟合实验观察到的分布。这支持了取决于CT序列长度和基因密度的概率全局基因定位代码的概念。

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