Accession ID: MIRT000164 [miRNA, hsa-miR-21 ::
WFS1, target gene]
| pre-miRNA ID | hsa-mir-21 LinkOut: [miRBase ] |
|---|---|
| Synonyms | MIRN21, hsa-mir-21, miR-21, miRNA21, MIR21 |
| Description | Homo sapiens miR-21 stem-loop |
| Comment | Mourelatos et al. named this sequence miR-21 precursor-17 and also reported the exact reverse complement of this predicted stem-loop sequence and erroneously assigned the name miR-104 . |
| 2nd Structure of pre-miRNA | ![]() |
| Mature miRNA | hsa-miR-21-3p |
|---|---|
| Mature Sequence | 46| CAACACCAGUCGAUGGGCUGU |66 |
| Evidence | Experimental |
| Experiments | Cloned |
| Putative hsa-miR-21-3p Targets | LinkOut: [ TargetScanS 5.1 | MicroCosm | microRNA.org | miRecords | miRDB | miRo | miRNAMap 2.0 ] |
| Mature miRNA | hsa-miR-21-5p |
| Mature Sequence | 8| UAGCUUAUCAGACUGAUGUUGA |29 |
| Evidence | Experimental |
| Experiments | Cloned |
| Putative hsa-miR-21-5p Targets | LinkOut: [ TargetScanS 5.1 | MicroCosm | microRNA.org | miRecords | miRDB | miRo | miRNAMap 2.0 ] |
![]() |
| Gene Symbol | WFS1 LinkOut: [ Entrez Gene | BioGPS | Wikipedia | iHop ] | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Synonyms | FLJ51211, WFRS, WFS, WOLFRAMIN | ||||||||||||||||||||
| Description | Wolfram syndrome 1 (wolframin) | ||||||||||||||||||||
| Transcript | NM_001145853 LinkOut: [ RefSeq ] | ||||||||||||||||||||
| Other Transcripts | NM_006005 | ||||||||||||||||||||
| Expression | LinkOut: [ BioGPS ] | ||||||||||||||||||||
| Putative miRNA Targets on WFS1 | LinkOut: [ TargetScan 5.1 | MicroCosm | miRNAMap 2.0 ] | ||||||||||||||||||||
| 3'UTR of WFS1 (miRNA target sites are highlighted) |
>WFS1|NM_001145853|3'UTR 1 TGAGGATGGTCCGCCACGAGGAGCTTCCAGTGCATGTTGCCATGAGGCCTTTCCCCAGTGTGGCCCCAGCCCGACAGGCA 81 TGCACCAGTGCCGCCTGTGCCCACGTGTGCAGACTGTGGCTGCAGAGACCTTGCGACCATGTGTAGATTGCGTGGACCCC 161 GACAAAGGGAAGGCTGCTGTGTAGCTCTGTCCACTCTGAATACCAAGTGTGTTGGGAATTGCATGCCATCTCCACCCTGA 241 GCCTGACCTTTCTGAGTGACATGGGTGTGCCAGGCTAGACTAGGAGGTTCCGGTGTCTGGAAAAGCACTTTACAGATGAG 321 ATTCCCTCTCCTCCCCCACCTTCAAGCACCCTGTTCCCTCTTTCTTTCTTTTGTGTTGGATTTGTTTAAAAACCAAATAA 401 GCATCTGTGTAACCTCCACAGTAGCATTTCTTATTTGTTTGGTCACTGCTACACCTTAGCAGCTCTTCCCCTTTCCTGGG 481 GGATGTGCACGGCAGCTTGAGCCTGTCACGTGGTCAAGGCCCGGCCCCATCAGAGGCTGGGGGAGGCGGCACATTGGCAG 561 TGTGTCACACTGAGCTGGGCACCACAGGCTGCCTCATGACCCTCCTGTCCAGCAGGTAGTGGGTGAATGTGTGAAGGTCT 641 TGCCTGAATCCATCAGGACTTGGGAAACAGAGAACCCTGTGGGGGCGGCTGTGGGGGAGGTCCCTGCCAGTGTTTAGAAG 721 AGCCTGACTGTGTTCAGTGCCTTGGAGCAGAAAGCCAGGGTCCTGAGTGGCTGAAATAAAAGCCTCTGGTGGAACCTGCA Target sites Provided by authors Predicted by miRanda |
||||||||||||||||||||
| miRNA-target interactions (Predicted by miRanda) |
|
| miRNA:Target | hsa-miR-21 :: WFS1 [ Functional MTI ] |
|---|---|
| Validation Method | Quantitative proteomic approach |
| Conditions | MCF-7 |
| Location of target site | 3'UTR |
| Tools used in this research | miRanda, PicTar, TargetScan |
| Original Description (Extracted from the article) | ... none ... - Yang, Y. Chaerkady, R. Beer, M. A. Mendell, et al., 2009, Proteomics. |
| Article |
- Yang, Y.
Chaerkady, R.
Beer, M. A.
Mendell, et al. - Proteomics, 2009
MicroRNA (miRNA) play essential roles in biological processes ranging from cellular proliferation to apoptosis. Recently, miRNA have also been implicated in a number of diseases including cancers. However, the targets of most miRNA remain unknown. The majority of reports describing identification of miRNA targets are based on computational approaches or detection of altered mRNA levels despite the fact that most miRNA are thought to regulate their targets primarily at the level of translational inhibition in animals. miR-21 is a miRNA with oncogenic activity that is involved in various cancer-related processes such as invasion and migration. Given the importance of miR-21 in tumorigenesis, we employed a quantitative proteomic strategy to systematically identify potential targets of miR-21. By knocking down the expression of endogenous miR-21 in MCF-7 breast cancer cells, we observed an increase in the abundance of 58 proteins, implying that they could be potential targets of miR-21. Validation of 12 of these candidate targets in luciferase assays showed that 6 of them were likely direct targets of miR-21. Importantly, the mRNA of the majority of the candidate targets tested did not show a concomitant increase in abundance. Overall, our results demonstrate that miR-21 affects the expression of many of its targets through translational inhibition and highlights the utility of proteomic approaches for identifying miRNA targets.
LinkOut: [PMID: 19253296]
|

