Gene and Stem Cell Therapy Program, Centenary Institute, University of Sydney, Sydney, NSW 2042, Australia.
Bioinformatics. 2010 Jan 15;26(2):223-7. doi: 10.1093/bioinformatics/btp649. Epub 2009 Nov 17.
microRNAs (miRNAs) are short non-coding RNAs that regulate gene expression by inhibiting target mRNA genes. Their tissue- and disease-specific expression patterns have immense therapeutic and diagnostic potential. To understand these patterns, a reliable compilation of miRNA and mRNA expression data is required to compare multiple tissue types. Moreover, with the appropriate statistical tools, such a resource could be interrogated to discover functionally related miRNA-mRNA pairs.
We have developed mimiRNA, an online resource that integrates expression data from 1483 samples and permits visualization of the expression of 635 human miRNAs across 188 different tissues or cell types. mimiRNA incorporates a novel sample classification algorithm, ExParser, that groups identical miRNA or mRNA experiments from separate sources. This enables mimiRNA to provide reliable expression profiles and to discover functional relations between miRNAs and mRNAs such as miRNA targets. Additionally, mimiRNA incorporates a decision tree algorithm to discover distinguishing miRNA features between two tissue or cell types. We validate the efficacy of our resource on independent experimental data and through biologically relevant analyses.
http://mimirna.centenary.org.au.
Supplementary data are available at Bioinformatics online.
微小 RNA（miRNAs）是一类短的非编码 RNA，可以通过抑制靶 mRNA 基因来调节基因表达。它们在组织和疾病中的特异性表达模式具有巨大的治疗和诊断潜力。为了理解这些模式，需要可靠地编译 miRNA 和 mRNA 表达数据，以便比较多种组织类型。此外，通过适当的统计工具，这种资源可以被分析以发现功能相关的 miRNA-mRNA 对。
我们开发了 mimiRNA，这是一个在线资源，整合了来自 1483 个样本的表达数据，并允许可视化 635 种人类 miRNA 在 188 种不同组织或细胞类型中的表达。mimiRNA 采用了一种新颖的样本分类算法 ExParser，该算法可以将来自不同来源的相同 miRNA 或 mRNA 实验进行分组。这使得 mimiRNA 能够提供可靠的表达谱，并发现 miRNA 和 mRNAs 之间的功能关系，如 miRNA 靶标。此外，mimiRNA 还采用了决策树算法来发现两种组织或细胞类型之间区分 miRNA 的特征。我们通过独立的实验数据和生物学相关的分析验证了我们资源的功效。
http://mimirna.centenary.org.au。
补充数据可在《生物信息学》在线获取。
