Institute of Computing Technology, Chinese Academy IR
dbDEMC: a database of differentially expressed miRNAs in human cancers | |
Yang, Zhen1,2,3; Ren, Fei4; Liu, Changning1; He, Shunmin5; Sun, Gang6,7; Gao, Qian6,7; Yao, Lei2; Zhang, Yangde4; Miao, Ruoyu3; Cao, Ying8,9; Zhao, Yi1; Zhong, Yang2,10; Zhao, Haitao3 | |
2010-12-02 | |
发表期刊 | BMC GENOMICS |
ISSN | 1471-2164 |
卷号 | 11页码:8 |
摘要 | Background: MicroRNAs (miRNAs) are small noncoding RNAs about 22 nt long that negatively regulate gene expression at the post-transcriptional level. Their key effects on various biological processes, e. g., embryonic development, cell division, differentiation and apoptosis, are widely recognized. Evidence suggests that aberrant expression of miRNAs may contribute to many types of human diseases, including cancer. Here we present a database of differentially expressed miRNAs in human cancers (dbDEMC), to explore aberrantly expressed miRNAs among different cancers. Results: We collected the miRNA expression profiles of 14 cancer types, curated from 48 microarray data sets in peer-reviewed publications. The Significance Analysis of Microarrays method was used to retrieve the miRNAs that have dramatically different expression levels in cancers when compared to normal tissues. This database provides statistical results for differentially expressed miRNAs in each data set. A total of 607 differentially expressed miRNAs (590 mature miRNAs and 17 precursor miRNAs) were obtained in the current version of dbDEMC. Furthermore, low-throughput data from the same literature were also included in the database for validation. An easy-to-use web interface was designed for users. Annotations about each miRNA can be queried through miRNA ID or miRBase accession numbers, or can be browsed by different cancer types. Conclusions: This database is expected to be a valuable source for identification of cancer-related miRNAs, thereby helping with the improvement of classification, diagnosis and treatment of human cancers. All the information is freely available through http://159.226.118.44/dbDEMC/index.html. |
DOI | 10.1186/1471-2164-11-S4-S5 |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Biotechnology & Applied Microbiology ; Genetics & Heredity |
WOS类目 | Biotechnology & Applied Microbiology ; Genetics & Heredity |
WOS记录号 | WOS:000289200700005 |
出版者 | BIOMED CENTRAL LTD |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/12444 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Zhao, Yi |
作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Ctr Adv Comp Technol Res, Bioinformat Res Grp, Beijing 100080, Peoples R China 2.Fudan Univ, Sch Life Sci, Shanghai 200433, Peoples R China 3.Chinese Acad Med Sci CAMS & PUMC, Peking Union Med Coll Hosp, Dept Liver Surg, Beijing 100730, Peoples R China 4.Cent S Univ, Changsha 410083, Peoples R China 5.Chinese Acad Sci, Inst Zool, Key Lab Zool Systemat & Evolut, Beijing 100101, Peoples R China 6.Fudan Univ, Inst Biomed Sci, Key Lab Med Mol Virol, Shanghai 200032, Peoples R China 7.Fudan Univ, Inst Med Microbiol, Shanghai 200032, Peoples R China 8.Inst Stat Math, Tokyo 1908562, Japan 9.Grad Univ Adv Studies, Dept Biosyst Sci, Kanagawa 2400193, Japan 10.Shanghai Ctr Bioinformat Technol, Shanghai 200235, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Zhen,Ren, Fei,Liu, Changning,et al. dbDEMC: a database of differentially expressed miRNAs in human cancers[J]. BMC GENOMICS,2010,11:8. |
APA | Yang, Zhen.,Ren, Fei.,Liu, Changning.,He, Shunmin.,Sun, Gang.,...&Zhao, Haitao.(2010).dbDEMC: a database of differentially expressed miRNAs in human cancers.BMC GENOMICS,11,8. |
MLA | Yang, Zhen,et al."dbDEMC: a database of differentially expressed miRNAs in human cancers".BMC GENOMICS 11(2010):8. |
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