Accession ID: MIRT003901 [miRNA, hsa-let-7d :: APP, target gene]
pre-miRNA Information
pre-miRNA ID hsa-let-7d LinkOut: [miRBase ]
Synonyms LET7D, MIRNLET7D, hsa-let-7d, let-7d, MIRLET7D
Description Homo sapiens let-7d stem-loop
Comment The mature sequence shown here represents the most commonly cloned form from large-scale cloning studies .
2nd Structure of pre-miRNA
Mature miRNA Information
Mature miRNA hsa-let-7d-3p
Mature Sequence 62| CUAUACGACCUGCUGCCUUUCU |83
Evidence Experimental
Experiments Cloned
Putative hsa-let-7d-3p Targets LinkOut: [ TargetScanS 5.1 | MicroCosm | microRNA.org | miRecords | miRDB | miRo | miRNAMap 2.0 ]
Mature miRNA hsa-let-7d-5p
Mature Sequence 8| AGAGGUAGUAGGUUGCAUAGUU |29
Evidence Experimental
Experiments Cloned
Putative hsa-let-7d-5p Targets LinkOut: [ TargetScanS 5.1 | MicroCosm | microRNA.org | miRecords | miRDB | miRo | miRNAMap 2.0 ]
miRNA-target interaction network
Gene Information
Gene Symbol APP LinkOut: [ Entrez Gene | BioGPS | Wikipedia | iHop ]
Synonyms AAA, ABETA, ABPP, AD1, APPI, CTFgamma, CVAP, PN2
Description amyloid beta (A4) precursor protein
Transcript NM_000484   LinkOut: [ RefSeq ]
Other Transcripts NM_001136129, NM_001136130, NM_201413, NM_201414   
Expression LinkOut: [ BioGPS ]
KEGG Pathway hsa05010    Alzheimer's disease - Homo sapiens (human)
Putative miRNA Targets on APP LinkOut: [ TargetScan 5.1 | MicroCosm | miRNAMap 2.0 ]
3'UTR of APP
(miRNA target sites are highlighted)		 
>APP|NM_000484|3'UTR
   1 TAGACCCCCGCCACAGCAGCCTCTGAAGTTGGACAGCAAAACCATTGCTTCACTACCCATCGGTGTCCATTTATAGAATA
  81 ATGTGGGAAGAAACAAACCCGTTTTATGATTTACTCATTATCGCCTTTTGACAGCTGTGCTGTAACACAAGTAGATGCCT
 161 GAACTTGAATTAATCCACACATCAGTAATGTATTCTATCTCTCTTTACATTTTGGTCTCTATACTACATTATTAATGGGT
 241 TTTGTGTACTGTAAAGAATTTAGCTGTATCAAACTAGTGCATGAATAGATTCTCTCCTGATTATTTATCACATAGCCCCT
 321 TAGCCAGTTGTATATTATTCTTGTGGTTTGTGACCCAATTAAGTCCTACTTTACATATGCTTTAAGAATCGATGGGGGAT
 401 GCTTCATGTGAACGTGGGAGTTCAGCTGCTTCTCTTGCCTAAGTATTCCTTTCCTGATCACTATGCATTTTAAAGTTAAA
 481 CATTTTTAAGTATTTCAGATGCTTTAGAGAGATTTTTTTTCCATGACTGCATTTTACTGTACAGATTGCTGCTTCTGCTA
 561 TATTTGTGATATAGGAATTAAGAGGATACACACGTTTGTTTCTTCGTGCCTGTTTTATGTGCACACATTAGGCATTGAGA
 641 CTTCAAGCTTTTCTTTTTTTGTCCACGTATCTTTGGGTCTTTGATAAAGAAAAGAATCCCTGTTCATTGTAAGCACTTTT
 721 ACGGGGCGGGTGGGGAGGGGTGCTCTGCTGGTCTTCAATTACCAAGAATTCTCCAAAACAATTTTCTGCAGGATGATTGT
 801 ACAGAATCATTGCTTATGACATGATCGCTTTCTACACTGTATTACATAAATAAATTAAATAAAATAACCCCGGGCAAGAC
 881 TTTTCTTTGAAGGATGACTACAGACATTAAATAATCGAAGTAATTTTGGGTGGGGAGAAGAGGCAGATTCAATTTTCTTT
 961 AACCAGTCTGAAGTTTCATTTATGATACAAAAGAAGATGAAAATGGAAGTGGCAATATAAGGGGATGAGGAAGGCATGCC
1041 TGGACAAACCCTTCTTTTAAGATGTGTCTTCAATTTGTATAAAATGGTGTTTTCATGTAAATAAATACATTCTTGGAGGA
1121 GCAAAAAAAAAAAAAAAA
Target sites Provided by authors  Predicted by miRanda
miRNA-target interactions (Predicted by miRanda)
IDDuplex structurePositionScoreMFE
1 
miRNA  3' ucuuuccGUCGUCCAGCAUAUc 5'
                 :|||  ||:||||| 
Target 5' agcccctTAGCCAGTTGTATAt 3'
 		314 - 335 139.00 -10.50
2 
miRNA  3' ucuuuccGUCGUCC--AGCAUAUc 5'
                 :| ::||  |:||:|| 
Target 5' acattatTAATGGGTTTTGTGTAc 3'
 		226 - 249 113.00 -6.30
3 
miRNA  3' ucuuucCGUCGU-CCAGCAUAUc 5'
                |||| | | |:||| | 
Target 5' ttttctGCAGGATGATTGTACAg 3'
 		782 - 804 108.00 -11.10
Experimental Support 1 for Non-Functional miRNA-Target Interaction
miRNA:Target hsa-let-7d :: APP    [ Non-Functional MTI ]
Validation Method Luciferase reporter assay
Conditions HeLa
Location of target site 3'UTR
Tools used in this research miRanda, miRBase Target Database
Original Description (Extracted from the article) ... We found that miR-20a, miR-17-5p, and miRNA106b affected significantly luciferase expression (Fig. 1B). In contrast, a scrambled miRNA sequence, as well as the other candidate miRNAs (miR-15a, miR-130a, let-7d and let-7a) showed no effect in this assay. Curiously, miR-106a, which is closely related to miR-106b, had in this assay an inconsistent effect. ...

- Hebert, S. S. Horre, K. Nicolai, L. et al., 2009, Neurobiol Dis.
Article - Hebert, S. S. Horre, K. Nicolai, L. et al.
- Neurobiol Dis, 2009
Gene dosage effects of Amyloid precursor protein (APP) can cause familial AD. Recent evidence suggest that microRNA (miRNA) pathways, implicated in gene transcriptional control, could be involved in the development of sporadic Alzheimer's disease (AD). We therefore investigated whether miRNAs could participate in the regulation of APP gene expression. We show that miRNAs belonging to the miR-20a family (that is, miR-20a, miR-17-5p and miR-106b) could regulate APP expression in vitro and at the endogenous level in neuronal cell lines. A tight correlation between these miRNAs and APP was found during brain development and in differentiating neurons. We thus identify miRNAs as novel endogenous regulators of APP expression, suggesting that variations in miRNA expression could contribute to changes in APP expression in the brain during development and disease. This possibility is further corroborated by the observation that a statistically significant decrease in miR-106b expression was found in sporadic AD patients.
LinkOut: [PMID: 19110058]