Name
Abstract | ||
|---|---|---|
MicroRNAs (miRNAs) are small non-coding RNA molecules that can negatively regulate gene expression and thus control numerous cellular mechanisms. This work develops a resource, miRNAMap 2.0, for collecting experimentally verified microRNAs and experimentally verified miRNA target genes in human, mouse, rat and other metazoan genomes. Three computational tools, miRanda, RNAhybrid and TargetScan, were employed to identify miRNA targets in 3-UTR of genes as well as the known miRNA targets. Various criteria for filtering the putative miRNA targets are applied to reduce the false positive prediction rate of miRNA target sites. Additionally, miRNA expression profiles can provide valuable clues on the characteristics of miRNAs, including tissue specificity and differential expression in cancer/normal cell. Therefore, quantitative polymerase chain reaction experiments were performed to monitor the expression profiles of 224 human miRNAs in 18 major normal tissues in human. The negative correlation between the miRNA expression profile and the expression profiles of its target genes typically helps to elucidate the regulatory functions of the miRNA. The interface is also redesigned and enhanced. The miRNAMap 2.0 is now available at http://miRNAMap.mbc.nctu.edu.tw/. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/nar/gkm1012 | NUCLEIC ACIDS RESEARCH |
Keywords | Field | DocType |
non coding rna,gene expression profiling,genome mapping,micrornas,microrna,genomics,gene silencing,nucleic,internet,quantitative polymerase chain reaction,false positive,binding sites | Genome,RNA,Gene silencing,Gene,Biology,microRNA,Gene expression,Genomics,Genetics,Molecular biology,Gene expression profiling | Journal |
Volume | Issue | ISSN |
36 | Database issue | 0305-1048 |
Citations | PageRank | References |
29 | 4.18 | 4 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sheng-Da Hsu | 1 | 315 | 24.16 |
| Chia-Huei Chu | 2 | 86 | 6.51 |
| Ann-Ping Tsou | 3 | 192 | 19.67 |
| Shu-Jen Chen | 4 | 51 | 5.85 |
| Hua-Chien Chen | 5 | 42 | 4.84 |
| Paul Wei-Che Hsu | 6 | 58 | 10.51 |
| Yung-Hao Wong | 7 | 86 | 6.51 |
| Yi-Hsuan Chen | 8 | 117 | 11.10 |
| Gian-Hung Chen | 9 | 29 | 4.18 |
| Hsien-Da Huang | 10 | 835 | 63.83 |