Cho Sooyoung, Jun Yukyung, Lee Sanghyun, Choi Hyung-Seok, Jung Sungchul, Jang Youngjun, Park Charny, Kim Sangok, Lee Sanghyuk, Kim Wankyu
Ewha Research Center for Systems Biology, Ewha Womans University, 11-1 Daehyun-dong, Seodaemun-gu, Seoul 120-750, Korea.
Nucleic Acids Res. 2011 Jan;39(Database issue):D158-62. doi: 10.1093/nar/gkq1094. Epub 2010 Nov 9.
miRGator is an integrated database of microRNA (miRNA)-associated gene expression, target prediction, disease association and genomic annotation, which aims to facilitate functional investigation of miRNAs. The recent version of miRGator v2.0 contains information about (i) human miRNA expression profiles under various experimental conditions, (ii) paired expression profiles of both mRNAs and miRNAs, (iii) gene expression profiles under miRNA-perturbation (e.g. miRNA knockout and overexpression), (iv) known/predicted miRNA targets and (v) miRNA-disease associations. In total, >8000 miRNA expression profiles, ∼300 miRNA-perturbed gene expression profiles and ∼2000 mRNA expression profiles are compiled with manually curated annotations on disease, tissue type and perturbation. By integrating these data sets, a series of novel associations (miRNA-miRNA, miRNA-disease and miRNA-target) is extracted via shared features. For example, differentially expressed genes (DEGs) after miRNA knockout were systematically compared against miRNA targets. Likewise, differentially expressed miRNAs (DEmiRs) were compared with disease-associated miRNAs. Additionally, miRNA expression and disease-phenotype profiles revealed miRNA pairs whose expression was regulated in parallel in various experimental and disease conditions. Complex associations are readily accessible using an interactive network visualization interface. The miRGator v2.0 serves as a reference database to investigate miRNA expression and function (http://miRGator.kobic.re.kr).
miRGator是一个整合了与微小RNA(miRNA)相关的基因表达、靶标预测、疾病关联和基因组注释的数据库,旨在促进对miRNA的功能研究。miRGator v2.0的最新版本包含以下信息:(i)各种实验条件下的人类miRNA表达谱;(ii)mRNA和miRNA的配对表达谱;(iii)miRNA干扰(如miRNA敲除和过表达)下的基因表达谱;(iv)已知/预测的miRNA靶标;以及(v)miRNA与疾病的关联。总共汇编了超过8000个miRNA表达谱、约300个miRNA干扰的基因表达谱和约2000个mRNA表达谱,并带有关于疾病、组织类型和干扰的人工整理注释。通过整合这些数据集,通过共享特征提取了一系列新的关联(miRNA-miRNA、miRNA-疾病和miRNA-靶标)。例如,将miRNA敲除后差异表达的基因(DEG)与miRNA靶标进行系统比较。同样,将差异表达的miRNA(DEmiR)与疾病相关的miRNA进行比较。此外,miRNA表达和疾病表型谱揭示了在各种实验和疾病条件下其表达受到平行调节的miRNA对。使用交互式网络可视化界面可以轻松访问复杂的关联。miRGator v2.0作为一个参考数据库,用于研究miRNA的表达和功能(http://miRGator.kobic.re.kr)。