Accession ID: MIRT001208 [miRNA, hsa-miR-21 :: TGFBI, target gene]
pre-miRNA Information
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 Information
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 ]
miRNA-target interaction network
Gene Information
Gene Symbol TGFBI LinkOut: [ Entrez Gene | BioGPS | Wikipedia | iHop ]
Synonyms BIGH3, CDB1, CDG2, CDGG1, CSD, CSD1, CSD2, CSD3, EBMD, LCD1
Description transforming growth factor, beta-induced, 68kDa
Transcript NM_000358   LinkOut: [ RefSeq ]
Expression LinkOut: [ BioGPS ]
Putative miRNA Targets on TGFBI LinkOut: [ TargetScan 5.1 | MicroCosm | miRNAMap 2.0 ]
3'UTR of TGFBI
(miRNA target sites are highlighted)		 
>TGFBI|NM_000358|3'UTR
   1 TAGCTTGAAGCACTACAGGAGGAATGCACCACGGCAGCTCTCCGCCAATTTCTCTCAGATTTCCACAGAGACTGTTTGAA
  81 TGTTTTCAAAACCAAGTATCACACTTTAATGTACATGGGCCGCACCATAATGAGATGTGAGCCTTGTGCATGTGGGGGAG
 161 GAGGGAGAGAGATGTACTTTTTAAATCATGTTCCCCCTAAACATGGCTGTTAACCCACTGCATGCAGAAACTTGGATGTC
 241 ACTGCCTGACATTCACTTCCAGAGAGGACCTATCCCAAATGTGGAATTGACTGCCTATGCCAAGTCCCTGGAAAAGGAGC
 321 TTCAGTATTGTGGGGCTCATAAAACATGAATCAAGCAATCCAGCCTCATGGGAAGTCCTGGCACAGTTTTTGTAAAGCCC
 401 TTGCACAGCTGGAGAAATGGCATCATTATAAGCTATGAGTTGAAATGTTCTGTCAAATGTGTCTCACATCTACACGTGGC
 481 TTGGAGGCTTTTATGGGGCCCTGTCCAGGTAGAAAAGAAATGGTATGTAGAGCTTAGATTTCCCTATTGTGACAGAGCCA
 561 TGGTGTGTTTGTAATAATAAAACCAAAGAAACATA
Target sites Provided by authors  Predicted by miRanda
miRNA-target interactions (Predicted by miRanda)
IDDuplex structurePositionScoreMFE
1 
miRNA  3' ugucGGGUA--GCUG-------ACCACAac 5'
              ||:||  :|||       ||||||  
Target 5' tttcCCTATTGTGACAGAGCCATGGTGTgt 3'
 		539 - 568 127.00 -12.91
2 
miRNA  3' ugucGGGUAGCUG-ACC-ACAAc 5'
              ||| |  || ||| |||| 
Target 5' gttcCCCCTAAACATGGCTGTTa 3'
 		190 - 212 121.00 -8.80
3 
miRNA  3' ugUCGGGUA---GCUGACCACaac 5'
            ||||| |   | :|||| |   
Target 5' aaAGCCCTTGCACAGCTGGAGaaa 3'
 		394 - 417 91.00 -13.23
Experimental Support 1 for Functional miRNA-Target Interaction
miRNA:Target hsa-miR-21 :: TGFBI    [ Functional MTI ]
Validation Method Luciferase reporter assay , Western blot
Conditions HEK293
Location of target site 3'UTR
Tools used in this research miRBase Target Database
Original Description (Extracted from the article) ... As expected, these AMOs all were able to significantly increase luciferase activities (Figure 1G), presumably by knocking down the endogenous miR-21, miR-155 and miR-17-5p in HeLa cells ...

- Lu, Y. Xiao, J. Lin, H. Bai, Y. Luo, X. et al., 2009, Nucleic Acids Res.
miRNA-target interactions (Provided by authors)
IDDuplex structurePosition
1 
miRNA  3' agUUGUAGUCAGACUAUUCGAu 5'
            ::|||||   | ||||||| 
Target 5' auGGCAUCA---UUAUAAGCUa 3'
 		5 - 23
Article - Lu, Y. Xiao, J. Lin, H. Bai, Y. Luo, X. et al.
- Nucleic Acids Res, 2009
Anti-miRNA antisense inhibitors (AMOs) have demonstrated their utility in miRNA research and potential in miRNA therapy. Here we report a modified AMO approach in which multiple antisense units are engineered into a single unit that is able to simultaneously silence multiple-target miRNAs, the multiple-target AMO or MTg-AMO. We validated the technique with two separate MTg-AMOs: anti-miR-21/anti-miR-155/anti-miR-17-5p and anti-miR-1/anti-miR-133. We first verified the ability of the MTg-AMOs to antagonize the repressive actions of their target miRNAs using luciferase reporter activity assays and to specifically knock down the levels of their target miRNAs using real-time RT-PCR methods. We then used the MTg-AMO approach to identify several tumor suppressors-TGFBI, APC and BCL2L11 as the target genes for oncogenic miR-21, miR-155 and miR-17-5p, respectively, and two cardiac ion channel genes HCN2 (encoding a subunit of cardiac pacemaker channel) and CACNA1C (encoding the alpha-subunit of cardiac L-type Ca(2+) channel) for the muscle-specific miR-1 and miR-133. We further demonstrated that the MTg-AMO targeting miR-21, miR-155 and miR-17-5p produced a greater inhibitory effect on cancer cell growth, compared with the regular single-target AMOs. Moreover, while using the regular single-target AMOs excluded HCN2 as a target gene for either miR-1 or miR-133, the MTg-AMO approach is able to reveal HCN2 as the target for both miR-1 and miR-133. Our findings suggest the MTg-AMO as an improved approach for miRNA target finding and for studying function of miRNAs. This approach may find its broad application for exploring biological processes involving multiple miRNAs and multiple genes.
LinkOut: [PMID: 19136465]