Section of Hematology-Oncology, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
RNA Biol. 2009 Sep-Oct;6(4):412-25. doi: 10.4161/rna.6.4.8830. Epub 2009 Sep 23.
Human microRNAs (miRNAs) are potent regulators of gene expression and thus involved in a broad range of biological processes. The objective of this study was to update the properties of human miRNAs and to search for SNPs and CNVs with potential effects on them. Based on the miRBase 13.0 database, we identified 380 (53.9%) precursor miRNAs (pre-miRNAs) embedded in gene loci that are enriched in biological processes such as "neuronal activities", "cell cycle" and "protein phosphorylation" (Bonferroni p < 0.05). Gene lengths of the pre-miRNA host genes are significantly larger than other genes in the genome (p < 2.2E-16). Using data mining public resources, we performed a genome-scale search for the regulatory polymorphisms in the loci of pre-miRNAs and their related genes. Altogether, we found 187 SNPs in the pre-miRNAs, 497 consensus SNPs in the seed-matching untranslated regions of target genes, 385 CNVs harboring pre-miRNA precursors and 9 CNVs covering important miRNA processing genes. We also noticed that minimum free energy changed by pre-miRNA-residing SNPs could be ranked by the order from low to high as the SNPs in the loop domain, the SNPs in the adjacent stem and basal stem domains, and the SNPs in mature miRNA and its complementary sequence domains (p = 0.0065). With a full list of miRNA-related polymorphisms, this study will facilitate future association studies between the genetic polymorphisms in miRNA targets or pre-miRNAs and the disease susceptibility or therapeutic outcome.
人类 microRNAs(miRNAs)是基因表达的有效调节剂,因此参与了广泛的生物学过程。本研究的目的是更新人类 miRNAs 的特性,并寻找可能对其产生影响的 SNPs 和 CNVs。基于 miRBase 13.0 数据库,我们鉴定了 380 个(53.9%)位于富含生物学过程基因座中的前体 miRNAs(pre-miRNAs),如“神经元活动”、“细胞周期”和“蛋白质磷酸化”(Bonferroni p < 0.05)。pre-miRNA 宿主基因的基因长度明显大于基因组中其他基因(p < 2.2E-16)。利用数据挖掘公共资源,我们对 pre-miRNA 及其相关基因座中的调控多态性进行了全基因组搜索。总共,我们在 pre-miRNAs 中发现了 187 个 SNPs,在靶基因的种子匹配非翻译区发现了 497 个共识 SNPs,在包含 pre-miRNA 前体的 385 个 CNVs 中发现了 9 个覆盖重要 miRNA 加工基因的 CNVs。我们还注意到,pre-miRNA 驻留 SNP 引起的最小自由能变化可以按照从低到高的顺序排列,分别是环域中的 SNP、相邻茎和基础茎域中的 SNP,以及成熟 miRNA 及其互补序列域中的 SNP(p = 0.0065)。有了完整的 miRNA 相关多态性列表,这项研究将有助于未来 miRNA 靶标或 pre-miRNA 中的遗传多态性与疾病易感性或治疗结果之间的关联研究。