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Colocalization of Coregulated Genes: A Steered Molecular Dynamics Study of Human Chromosome 19

机译:共调节基因的共定位:人类染色体19的分子动力学研究。

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摘要

The connection between chromatin nuclear organization and gene activity is vividly illustrated by the observation that transcriptional coregulation of certain genes appears to be directly influenced by their spatial proximity. This fact poses the more general question of whether it is at all feasible that the numerous genes that are coregulated on a given chromosome, especially those at large genomic distances, might become proximate inside the nucleus. This problem is studied here using steered molecular dynamics simulations in order to enforce the colocalization of thousands of knowledge-based gene sequences on a model for the gene-rich human chromosome 19. Remarkably, it is found that most () gene pairs can be brought simultaneously into contact. This is made possible by the low degree of intra-chromosome entanglement and the large number of cliques in the gene coregulatory network. A clique is a set of genes coregulated all together as a group. The constrained conformations for the model chromosome 19 are further shown to be organized in spatial macrodomains that are similar to those inferred from recent HiC measurements. The findings indicate that gene coregulation and colocalization are largely compatible and that this relationship can be exploited to draft the overall spatial organization of the chromosome in vivo. The more general validity and implications of these findings could be investigated by applying to other eukaryotic chromosomes the general and transferable computational strategy introduced here.
机译:染色质核组织与基因活性之间的联系通过观察某些基因的转录共调节似乎直接受到其空间邻近性的观察而生动地说明了。这个事实提出了一个更普遍的问题,即在给定染色体上整合的众多基因,特别是那些距离基因组距离较远的基因,是否可能在细胞核附近变得完全可行。在这里使用转向分子动力学模拟研究此问题,以便在基因丰富的人类染色体19的模型上强制执行数千个基于知识的基因序列的共定位。值得注意的是,发现可以带来大多数()基因对同时接触。染色体内的低纠缠度和基因调控网络中的大量集团使得这成为可能。一个集团是一组基因,这些基因作为一个整体凝聚在一起。进一步显示模型染色体19的受约束构象是在空间宏域中组织的,类似于从最近的HiC测量中推断出的那些。这些发现表明基因整合和共定位在很大程度上是兼容的,并且可以利用这种关系来拟定体内染色体的整体空间组织。可以通过将此处介绍的通用和可转移的计算策略应用于其他真核染色体来研究这些发现的更一般的有效性和含义。

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