Accession ID: MIRT004074 [miRNA, hsa-miR-373 ::
CNOT6, target gene]
| pre-miRNA ID | hsa-mir-373 LinkOut: [miRBase ] |
|---|---|
| Synonyms | MIRN373, hsa-mir-373, miRNA373, MIR373 |
| Description | Homo sapiens miR-373 stem-loop |
| 2nd Structure of pre-miRNA | ![]() |
| Mature miRNA | hsa-miR-373-3p |
|---|---|
| Mature Sequence | 44| GAAGUGCUUCGAUUUUGGGGUGU |66 |
| Evidence | Experimental |
| Experiments | Cloned |
| Putative hsa-miR-373-3p Targets | LinkOut: [ TargetScanS 5.1 | MicroCosm | microRNA.org | miRecords | miRDB | miRo | miRNAMap 2.0 ] |
| Mature miRNA | hsa-miR-373-5p |
| Mature Sequence | 6| ACUCAAAAUGGGGGCGCUUUCC |27 |
| Evidence | Experimental |
| Experiments | Cloned |
| Putative hsa-miR-373-5p Targets | LinkOut: [ TargetScanS 5.1 | MicroCosm | microRNA.org | miRecords | miRDB | miRo | miRNAMap 2.0 ] |
![]() |
| Gene Symbol | CNOT6 LinkOut: [ Entrez Gene | BioGPS | Wikipedia | iHop ] | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Synonyms | CCR4, KIAA1194 | ||||||||||||||||||||
| Description | CCR4-NOT transcription complex, subunit 6 | ||||||||||||||||||||
| Transcript | NM_015455 LinkOut: [ RefSeq ] | ||||||||||||||||||||
| Expression | LinkOut: [ BioGPS ] | ||||||||||||||||||||
| KEGG Pathway |
hsa03018 RNA degradation - Homo sapiens (human) |
||||||||||||||||||||
| Putative miRNA Targets on CNOT6 | LinkOut: [ TargetScan 5.1 | MicroCosm | miRNAMap 2.0 ] | ||||||||||||||||||||
| 3'UTR of CNOT6 (miRNA target sites are highlighted) |
>CNOT6|NM_015455|3'UTR 1 TAGTCAAGCACCTTCAGAGGACAGCCTTGATTCACTTGTAAACTTGTGAAAATCTGAACATAGGGGAGTGAGGTATGGCC 81 ACTGAGGATTTTTGCTTGCTTAAGAATGATTTGGACTTTCAATCTGATTATTTGATAAGGATATAGTATGAAAGCCAGGT 161 GCTAGCAACAGACAAATTCTGAGCCCAATATGCTTTATACTGCTAGACAGGGATTGGTGTGTTTGCACCTGTCTTTCATT 241 TGTCATAAGAGATTTTCCTATTTCTTCTACCCAATAGAATATTTTCATGCCTGGAAATAGGAAAATGTGTGAACAGCGTA 321 TTCTCTTCACACAGAAATCTGTAGCACTGCTTTTTTGAGGCCAGTAGCAACATCCAGAGATCATTCTTCCATACTTTACT 401 CCCTCCTTTTTCAGACTTGTTTGTAAAGTACAGAATCTGAATTTAGCCTTTATGATTGTATATGATCCACAGAAGACCTG 481 ATTTATGAAATTTTGTACTAAAATCATTTGGAAATGATTGTATTGTAAACTGAGGCTAAATTTTTTTTTAAACCTGTTTC 561 ATGTGTTATAAAGGCCAGCTTGTAAAAGAAGCTGCAACAGACTTTCTCTGCTCATGATTTGCACTCTTAGGGTTTTGTTA 641 GCCCTTTTGTACTACTTTCTTTTTAAATTGAGAACATGGTTCTTTACATATAAATCTGCTTCAACCTTAGGATGTTTTCA 721 GACCAGAGGCAACTTATTCATGAATTTTTATGAAAACTATCTACTAGGACAGATAAGCTGAACAGTGATGATCTGTAGAC 801 ATTTATGGACTGAATGTAATGGTTGATATATGTACATTCTGATATTTTTAAATCTTTAACTTTTTAAAGTTAAAAACCTA 881 CAGCTGCTTAGGTCCAGCTTCTTAACTCTTTTTGAGACACTTCCTGTCCTATCTCCACTGTGCCTGCCTAAATTTGTTCT 961 CACCAAGCACTGCCTGTGCATGCAGAGAAAATCTGTGCATCCTCTTTTATATTTTTAAAATACTGTTTAACATTTGTGAG 1041 AATTTTATGAAAATGCTTTTGTATGAGCTGTGGCTTTTTCCCATTGTGAAGCATTGAATATCACATTTTGGAACATGTTA 1121 TAGGGTGAGTCCCTGGATCTTTGCTCACCAGATCCAAGCACTGCTTCTCGGTGTCATTGCAGTGTGCTGCTTGTCACCCA 1201 GAATACTACTATCATGTGAATTCTTTTTGTCGTCAGTGTCTTTTCCTTAGTCTTTTTGTTGTTGTTGTTGTTGTTGTTTT 1281 AATCATTCCTTTTTTAAGAAGAAGTAATTTTCCATTTATGAAGCAGTATGAATTAGATGTATTTTCAAAACAGGTCCCTA 1361 AGACAATTCTTCAGATCATTTTTAAAATGACTAAGTCATTTTAGTATGTCAAGCAAGATAAAAATTACATCATACCGTCT 1441 ATTTTGCCCATAGTGCCATTTAGAGATGAAAACCAGCTTTAACTTTGCAAAGTGAACATGTACATGGTCTGCTCTCATTT 1521 ATTCATTCTTCTCTCAAAAGTCAAATGAATGCAGAGGGAGCTTGGTCAAACTGCTTTTGTTTCAACTGCAGGCAGGGGAG 1601 CAAAAGGACGCCATGTGAGCATTAGGAAAAAAAATACTCACTCTTACTAACAATTTTTATACAGAAAATGAGTCATTTTG 1681 GAAATGATTCTTATGTTTTTTTTTTTTCTCCTTTTAGAAAATTCTCCAAAAGGTTTTGATGTTGAATCTTGGTCTTGGAC 1761 CTGTTTTTTCCTTTGAGGGTTTTTTGTTTTTTGTTTTTTCTAGGATTTCATTGTGATGTTTTGGTTTTGTTTTTTGCTTT 1841 TTGTTTAAGTTGTGCTGACACCAAACACATCCAGTTTATAATCAGTACATTGGAAAGCTGGTATTGATGTAGAACCAGTG 1921 CATAACTTTTTATGGGGTTTTGTTATTGGTTTTTTTTTGTAAAGTGTGAATAAAAGGTATGTTTACTCATTTTTCCTGAA 2001 CACTGTGTTGGTAATGTGCATCATGACAATTTCCAGTGAAGGTGAGCTGGAGCTGGTTGGACTAATGAGACTGAGGAAGC 2081 AGCTTTTCCTACGATCTGCATTATGTAATCACAGGTCCAGAGAGCTTTATGGAAGCGGGAGAGGAGGAGCACTTACTCAT 2161 GTTGTATTTGTTAATGGAGGATGTCATCTTTTCATAGATGCTGGAACTAGAGTGCACTTGTTAGATGCTAAAGGTTTGAG 2241 CTTTACACAAAATGTCTTCATCTGTATTTGTTATTGTCTACAATATATTTGAATTTGGGGCAGCATATTAAGATGTAATG 2321 GCCTGTTATGTCTTGAAAATACTTGTTTTGCCTCTTCCAGGCATACTGCATTCTGTGGATCAGTTTGAACAGCTTCTCCA 2401 CCTTATTTGGACAGTGATAAATTGAACCAAGAGTGTAGATTTACAAGTGTAACCTTCAAAAGAGGAAGAACTATTTGGGG 2481 TCTGTAGGTAATGAACAGTCACACCAAAATAGACTATGATGCTTTTGTTAAGAAAGGTTTCATGTTTTAGATATTTTCCG 2561 TGTCCTAAATAATTTTCAATAATCTATAATCCCTAAAATGCAATAAAAACTAGTATGTTTTCACGGTGTATATTTTTTTT 2641 CAAAAATTCTGTAACAAATATATTTAATGTGTTGCCATAATGTCATTTCAGTATTTTTGCTGGATAAATCCATTTTAGAA 2721 ATGTCTTACAAAAAGTTTAGGGCATGTTTTCTGTTTTAAAGACCAGAAGTTTGAAGGCACCCAAATCCTTGTCGCCAATC 2801 TCCTGAAGTACAGCTTTACCATATTAGTGGTCATTATTTATGCTTTGAGAGTTTCAATATTGTTCGTCAAGTTAACTTAT 2881 GGCATAATTTAAGCTAAAGTTGTAGAAATGAATTGTTGAGTGCAACTTTCATAGTCCCAAAGATAGGCAGAGAACATCTC 2961 CAGAAATGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTTTAATATGATTTAGTGACAACCAGGAAAACTTACTTGGGAT 3041 TATTAGCACTTTCAAACTTAGGGACATTATTAAATTGGATGGAATGCACTTCTAAATGTTTAAATTAAAATTTCAAAGCT 3121 CTTTCGAGATTCAGGTTCTCAATAATAATATTCAAGTTTTAGAGTTTCACTTTGTACTATTTAAATTTATGGAACTAGTT 3201 TCCATACTGACTTGTAAGGTTTTGGGGTCATATATAAGGACTAAAGCCAAGCTAGGCAAAACAATGACAGCACCGTTTTT 3281 TCAGTGAAGCTCTCAGAATGTCCAGTACAGATGTTGCAGATAATTCCAAGAACTCCTTCAGCAGGTGTTCTTCACCATTC 3361 GTAAACAGTATTTTAAGATGTTCACTTTGCTCTTCTTTTTGGTTACATACATTTTAATAACTGGTATGTTGAAGTAGTGT 3441 CTAAAAGTATCTAGTCTTTATTCACAGTACATTATATTGTGTGATGCACTGGACTAACTCTTGTTTACCATTCATGTAAC 3521 AAAACCCAGCACATTATCTGCACTATAAGCTCAAAGAATGTCACATCCGCCCAGACAGCTCTTTGATGAGGGTGATGGGA 3601 ACTGAATAAACCATACGGACTGGCAGTAACAAGGGCTTTTACTGTTCTGTTCAGTGGAACCTTCTTGGTCAAATTGTAAT 3681 TAGCTAGCATTATATTTATATACAGGGTCTTTTTTCTTTACCGATGTATTTTCCTACTCATAGCCAACCAATAAATTCAG 3761 TATCTGTTTCAAATATTTTAGAAGTGTAGTTTGTATAGCTGTAGTACTGAGGTTTGAGGAAAAATAAATGTTGATCAGCA 3841 GACCACGTATTTAAAATTCTGAATCTTCTGGGACAGGGTTGTAACTCAGCCTTCCAAAGGGAAGAGTGCAGGGGGACGGG 3921 GCCATGATATGGGGAAATGGTGTAAACTAATGTATTTCTTTATTGGCTGTTATTCTGTATAACACTCATATCTTTGCCAA 4001 AGTTCAATTTTATATTTAGGCAACTGATGGTCCTTTTGCATTTAGGATTTTCGTTGTTGTTACCTTATACCTCATGATAT 4081 AAGGAATGGGCTCATGTGTCTTCCGTCTTTTGGAAGGAGGTTGACATATTTTAAATAAATGCTTTTAAATACAGTAAA Target sites Provided by authors Predicted by miRanda |
||||||||||||||||||||
| miRNA-target interactions (Predicted by miRanda) |
|
| miRNA:Target | hsa-miR-373 :: CNOT6 [ Functional MTI ] |
|---|---|
| Validation Method | Microarray |
| Conditions | HeLa |
| Location of target site | 3'UTR |
| Original Description (Extracted from the article) | ... Filtering the expression profiles for genes characterized by the LocusLink database12 that were significantly downregulated (P < 0.001) at both 12 and 24 h, gave sets of 96 and 174 annotated genes downregulated by miR-1 and miR-124, respectively (Supplementary Tables 1 and 2).//{These MTI shown in Supplementary Table 1,2,4} ... - Lim, L. P. Lau, N. C. Garrett-Engele, P. et al., 2005, Nature. |
| Article |
- Lim, L. P.
Lau, N. C.
Garrett-Engele, P. et al. - Nature, 2005
MicroRNAs (miRNAs) are a class of noncoding RNAs that post-transcriptionally regulate gene expression in plants and animals. To investigate the influence of miRNAs on transcript levels, we transfected miRNAs into human cells and used microarrays to examine changes in the messenger RNA profile. Here we show that delivering miR-124 causes the expression profile to shift towards that of brain, the organ in which miR-124 is preferentially expressed, whereas delivering miR-1 shifts the profile towards that of muscle, where miR-1 is preferentially expressed. In each case, about 100 messages were downregulated after 12 h. The 3' untranslated regions of these messages had a significant propensity to pair to the 5' region of the miRNA, as expected if many of these messages are the direct targets of the miRNAs. Our results suggest that metazoan miRNAs can reduce the levels of many of their target transcripts, not just the amount of protein deriving from these transcripts. Moreover, miR-1 and miR-124, and presumably other tissue-specific miRNAs, seem to downregulate a far greater number of targets than previously appreciated, thereby helping to define tissue-specific gene expression in humans.
LinkOut: [PMID: 15685193]
|

