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Relationship between spatial organization and biological function, analyzed using gene ontology and chromosome conformation capture of human and fission yeast genomes

机译:利用人类和裂殖酵母基因组的基因本体论和染色体构象捕获分析空间组织与生物学功能之间的关系

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摘要

Cells regulate functionally related genes cis- and trans-contacts in order to perform specific biological roles. To understand the cryptic spatial genomic contexts underlying these biological functions, we analyzed the gene association data from the gene ontology (GO) database and the genomic spatial organization data obtained by analysis of chromosome conformation capture (3C)-based data from the Sequence Read Archive, where GO and 3C-based data were used to measure functional similarity and spatial proximity, respectively, between genomic loci. In the human genome and the fission yeast genome, we observed that correlation between the two measures was statistically significant on a genome-wide scale. Specifically, it is also confirmed that the genomic spatial architecture is affected by functional similarity of genes by showing better correlation of functional similarities with spatial distances estimated by contact frequencies than those estimated by genomic distances for cis-contacts. Furthermore, we analyzed distances between the genomic segments sharing the same GO term using the two-sample t test, found that the genomic segments identified by various GO terms are spatially located closer than the average distance over statistically-valid contacts, and provided a list of the GO terms. The results suggested that genomic loci with similar biological functions are situated in close proximity to each other in the nuclear space by aggregating functionally related genes in a short spatial range.
机译:细胞调节功能相关基因的顺式和反式接触,以执行特定的生物学作用。为了了解这些生物学功能背后的隐秘空间基因组背景,我们分析了来自基因本体(GO)数据库的基因关联数据,以及通过分析来自序列读取档案库中基于染色体构象捕获(3C)的数据而获得的基因组空间组织数据,其中基于GO和3C的数据分别用于测量基因组基因座之间的功能相似性和空间邻近性。在人类基因组和裂变酵母基因组中,我们观察到这两种方法之间的相关性在全基因组范围内具有统计学意义。具体地说,还证实了基因组空间结构受基因功能相似性的影响,因为与顺式接触相比,功能相似性与通过接触频率估算的空间距离的相关性显示出更好的相关性。此外,我们使用两次抽样t检验分析了共享相同GO项的基因组片段之间的距离,发现在统计学上有效的接触点上,各种GO项所标识的基因组片段在空间上的位置均比平均距离更近,并提供了一个列表GO条款。结果表明,具有相似生物学功能的基因组位点通过在短空间范围内聚集功能相关基因而在核空间中彼此紧邻。

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