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Assessing information content and interactive relationships of subgenomic DNA sequences of the MHC using complexity theory approaches based on the non-extensive statistical mechanics

机译:基于非广泛统计力学评估MHC亚基组织DNA序列的信息含量和交互关系

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This study combines two independent domains of science, the high throughput DNA sequencing capabilities of Genomics and complexity theory from Physics, to assess the information encoded by the different genomic segments of exonic, intronic and intergenic regions of the Major Histocompatibility Complex (MHC) and identify possible interactive relationships. The dynamic and non-extensive statistical characteristics of two well characterized MHC sequences from the homozygous cell lines, PGF and COX, in addition to two other genomic regions of comparable size, used as controls, have been studied using the reconstructed phase space theorem and the non-extensive statistical theory of Tsallis. The results reveal similar non-linear dynamical behavior as far as complexity and self organization features. In particular, the low-dimensional deterministic nonlinear chaotic and non-extensive statistical character of the DNA sequences was verified with strong multifractal characteristics and long-range correlations. The nonlinear indices repeatedly verified that MHC sequences, whether exonic, intronic or intergenic include varying levels of information and reveal an interaction of the genes with intergenic regions, whereby the lower the number of genes in a region, the less the complexity and information content of the intergenic region. Finally we showed the significance of the intergenic region in the production of the DNA dynamics. The findings reveal interesting content information in all three genomic elements and interactive relationships of the genes with the intergenic regions. The results most likely are relevant to the whole genome and not only to the MHC. These findings are consistent with the ENCODE project, which has now established that the non-coding regions of the genome remain to be of relevance, as they are functionally important and play a significant role in the regulation of expression of genes and coordination of the many biological processes of the cell. (C)
机译:本研究结合了两个科学独立域,基因组学的高通量DNA测序能力与物理学,评估了主要组织相容复合物(MHC)的外源,内肠和非基因区域的不同基因组区段编码的信息,并识别可能的互动关系。使用重建的相空间定理和使用重构的相空间定理,从纯合细胞系,PGF和COX中,除了与对照的其他尺寸的其他基因组区域之外,来自纯合细胞系,PGF和COX的动态和非广泛统计特征。 Tsallis的非广泛统计理论。结果揭示了与复杂性和自组织特征相似的非线性动力学行为。特别地,通过强大的多重分形特性和远程相关性验证了DNA序列的低维度确定性非线性混沌和非广泛统计特征。非线性索引反复验证MHC序列,无论是外源,内部或代否的还是不同的信息水平,并揭示基因与非基因区域的相互作用,从而降低了一个区域中基因的数量,越少的复杂性和信息含量代际区域。最后,我们展示了非基因区域在DNA动力学的产生中的重要性。调查结果揭示了所有三种基因组元素和与非基因区域的基因的交互关系中有趣的内容信息。结果最有可能与整个基因组相关,不仅是MHC。这些发现与编码项目一致,现在已经确定了基因组的非编码区域仍然是相关性,因为它们在功能上重要性并且在对许多人的表达和协调的调节中起着重要作用细胞的生物过程。 (C)

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