miRBase entry: hsa-mir-542

Stem-loop hsa-mir-542


Accession
MI0003686
Symbol
HGNC: MIR542
Description
Homo sapiens hsa-mir-542 precursor miRNA
Gene family
MIPF0000185; mir-542

Summary
Caution, this is an AI generated summary based on literature. This may have errors. ?

MIR542 is a microRNA that has been found to harbor missense mutations in its stem-loop coding region, along with other microRNAs such as MIR662 and MIR663 [PMC4017260]. In glioblastoma multiforme (GBM), MIR542 has been shown to target the AEG-1 gene, potentially suppressing the epithelial-mesenchymal transition (EMT) process in U251 cells [PMC7575175]. The functional mechanism of MIR542 was investigated by screening its targeted genes using online tools, and AEG-1 was identified as a target [PMC7575175]. The down-regulation of AEG-1 by MIR542 was found to suppress the EMT process and inhibit the migration and proliferation of U251 cells [PMC7575175]. Luciferase reporter assays confirmed that a specific region in the 3'-UTR of AEG-1 gene was targeted by MIR542 [PMC7575175'>PMC7575175'>PMC7575175'>PMC7575175]. In vitro experiments showed that transfection with MIR542 reduced the migration abilities of U251 cells compared to other microRNAs [PMC7575175]. Furthermore, it was observed that MIR542 inhibited EMT through down-regulating AEG-1 at both mRNA and protein levels in U251 cells [PMC7575175]. These findings suggest that MIR542 may act as a tumor suppressor in human malignancies, including glioma, by regulating AEG-1 expression and suppressing EMT process [PMC7575175].

References:
[PMC4017260] - Liang H., et al. (2013) miR-662 is involved in cervical carcinogenesis through regulating both proliferation and invasion abilities of human cervical cells. Gynecol Oncol. 2013 Dec;131(3):651-7.
[PMC7575175] - Liang H., et al. (2020) MIR542-3p inhibits the migration and proliferation of glioma cells by targeting AEG-1 and suppressing EMT. Onco Targets Ther. 2020 Sep 3;13:8851-8862.

Literature search
52 open access papers mention hsa-mir-542
(251 sentences)

Sequence

41785 reads, 402 reads per million, 112 experiments
cagaucucagacaucUCGGGGAUCAUCAUGUCACGAGAuaccagugugcacuUGUGACAGAUUGAUAACUGAAAggucugggagccacucaucuuca
....((((((((...((((..((((...(((((((((.(((....)))..)))))))))...))))..))))...))))))))..............

Structure
----------caga        auc    GG    UCA         -A   c 
              ucucagac   UCGG  AUCA   UGUCACGAG  uac a
              ||||||||   ||||  ||||   |||||||||  |||  
              agggucug   AGUC  UAGU   ACAGUGUuc  gug g
acuucuacucaccg        gAA    AA    UAG         ac   u 


Annotation confidence High
Do you think this miRNA is real?
Comments
The mature sequence shown here represents the most commonly cloned form from large-scale cloning studies [2].

Genome context
chrX: 134541341-134541437 [-]
Clustered miRNAs
5 other miRNAs are < 10 kb from hsa-mir-542
Name Accession Chromosome Start End Strand Confidence




Disease association
hsa-mir-542 is associated with one or more human diseases in the Human microRNA Disease Database
Disease Description Category PubMed ID


Database links

Mature hsa-miR-542-5p

Accession MIMAT0003340
Description Homo sapiens hsa-miR-542-5p mature miRNA
Sequence 16 - UCGGGGAUCAUCAUGUCACGAGA - 38
Evidence experimental
cloned [1-3]
Database links
Predicted targets

Mature hsa-miR-542-3p

Accession MIMAT0003389
Description Homo sapiens hsa-miR-542-3p mature miRNA
Sequence 53 - UGUGACAGAUUGAUAACUGAAA - 74
Evidence experimental
cloned [1-2]
Database links
Predicted targets

References

  1. PubMed ID: 17604727
    A mammalian microRNA expression atlas based on small RNA library sequencing
    "Landgraf P, Rusu M, Sheridan R, Sewer A, Iovino N, Aravin A, Pfeffer S, Rice A, Kamphorst AO, Landthaler M, Lin C, Socci ND, Hermida L, Fulci V, Chiaretti S, Foa R, Schliwka J, Fuchs U, Novosel A, Muller RU, Schermer B, Bissels U, Inman J, Phan Q, Chien M"
    "Cell (2007) 129:1401-1414

  2. PubMed ID: 17616659
    Patterns of known and novel small RNAs in human cervical cancer
    "Lui WO, Pourmand N, Patterson BK, Fire A"
    "Cancer Res (2007) 67:6031-6043

  3. PubMed ID: 16274478
    Identification of clustered microRNAs using an ab initio prediction method
    Sewer A, Paul N, Landgraf P, Aravin A, Pfeffer S, Brownstein MJ, Tuschl T, van Nimwegen E, Zavolan M
    BMC Bioinformatics (2005) 6:267