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人类基因组连接代码将疾病相关的单核苷酸多态性、微小RNA和短串联重复序列联系起来。

Human genome connectivity code links disease-associated SNPs, microRNAs and pyknons.

作者信息

Glinsky Gennadi V

机构信息

Department of Pathology, Laboratory Medicine, Division of Urology, Albany Medical College, Ordway Cancer Center, Ordway Research Institute, Inc, Center for Medical Science, Albany, NY 12208, USA.

出版信息

Cell Cycle. 2009 Mar 15;8(6):925-30. doi: 10.4161/cc.8.6.7937. Epub 2009 Mar 26.

Abstract

Discovery of pyknons, the most frequent, variable-length DNA sequence motifs in the human genomes, suggests extensive sequence-based connectivity between non-coding and protein-coding components of human genomes. Here we report identification of ubiquitous template design sequences (templum intentio series, templints) of human genomes common for disease-associated SNPs, microRNAs and pyknons. We demonstrate that genome-unique SNP-coding sequences associated with multiple common human disorders appear assembled from series of ubiquitous short octamer sequences shared by 5'-UTR pyknons and microRNAs. Our analysis suggests that units of genetic information encoded in the linear sequences of the 3.6 billion bases of human genome are condensed in approximately 200,000 bases (0.006%) of 5' UTR pyknons which are represented by hundreds of copies in a genome and utilized to build genome-unique sequences. Allele-specific sequence variations link disease-associated SNPs to distinct sets of pyknons and microRNAs, suggesting that increased susceptibility to multiple common human disorders is associated with global alterations of genome-wide regulatory templates affecting the biogenesis and functions of non-coding RNAs.

摘要

人类基因组中最常见、长度可变的DNA序列基序——紧缩子的发现,表明人类基因组的非编码和蛋白质编码成分之间存在广泛的基于序列的连通性。在此,我们报告了人类基因组中与疾病相关的单核苷酸多态性(SNP)、微小RNA(miRNA)和紧缩子共有的普遍存在的模板设计序列(模板意向序列,templints)的鉴定。我们证明,与多种常见人类疾病相关的基因组独特的SNP编码序列似乎是由5'-非翻译区(UTR)紧缩子和miRNA共有的一系列普遍存在的短八聚体序列组装而成。我们的分析表明,人类基因组36亿个碱基的线性序列中编码的遗传信息单位浓缩在约20万个碱基(占0.006%)的5'UTR紧缩子中,这些紧缩子在基因组中以数百个拷贝形式存在,并用于构建基因组独特序列。等位基因特异性序列变异将疾病相关的SNP与不同的紧缩子和miRNA集合联系起来,这表明对多种常见人类疾病易感性增加与影响非编码RNA生物合成和功能的全基因组调控模板的全局改变有关。

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