来自多个在线资源的小鼠miRNA-mRNA相互作用的共识数据集。
Consensus datasets of mouse miRNA-mRNA interactions from multiple online resources.
作者信息
Zhao Bi, Xue Bin
机构信息
Department of Cell Biology, Microbiology and Molecular Biology, School of Natural Sciences and Mathematics, College of Arts and Sciences, University of South Florida, 4202 East Fowler Ave. ISA2015, Tampa, FL 33620, USA.
出版信息
Data Brief. 2017 Jul 20;14:143-147. doi: 10.1016/j.dib.2017.07.035. eCollection 2017 Oct.
MiRNAs regulate gene expression by forming base pairing with mRNAs to inhibit the translation of those mRNAs. In many mammalian genomes each, about 2000 miRNAs were found to regulate roughly 60% of all the genes in that genome. Many experimental validations and computational predictions have been done on miRNA:mRNA interactions. Nonetheless, the interactions from different sources are not always consistent. In this study, we integrated multiple online resources, including mirTarBase, TarBase, miRanda, miRDB, PITA, and TargetScan, and developed eleven large-scale datasets containing miRNA:mRNA interactions that are consistent among a specific subgroup of above-mentioned online resources. In addition, a new integrated confidence score was designed to show the significance for all the miRNA:mRNA interactions.
微小RNA（miRNA）通过与信使核糖核酸（mRNA）形成碱基配对来抑制这些mRNA的翻译，从而调控基因表达。在许多哺乳动物基因组中，每个基因组大约有2000个miRNA，据发现它们调控着该基因组中约60%的所有基因。针对miRNA与mRNA的相互作用，已经进行了许多实验验证和计算预测。然而，来自不同来源的相互作用并不总是一致的。在本研究中，我们整合了多个在线资源，包括mirTarBase、TarBase、miRanda、miRDB、PITA和TargetScan，并开发了11个大规模数据集，这些数据集包含在上述在线资源的特定子组中一致的miRNA与mRNA相互作用。此外，还设计了一个新的综合置信度评分，以显示所有miRNA与mRNA相互作用的显著性。
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