miRBase entry: hsa-mir-409

Stem-loop hsa-mir-409

Homo sapiens hsa-mir-409 precursor miRNA
Gene family
MIPF0000018; mir-154

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

MIR409 is a microRNA that has been studied in various contexts. In gastrointestinal stromal tumors (GISTs), the expression of MIR409 was found to be deregulated, with higher expression in intestinal tumors compared to gastric tumors [PMC5796982]. MIR409 was also found to be one of the representative miRNAs from the DLK1-DIO3 locus, specifically from cluster B [PMC7308478]. In double-infected transplanted livers, the downregulation of MIR409 was associated with the early onset of fibrosis [PMC8869900]. MIR409 has been predicted to target Sox6 and has been studied in the context of inducing induced cardiomyocytes (iCMs) from cardiac fibroblasts [PMC4488424] [PMC6679082]. Additionally, MIR409 has been identified as one of the miRNAs in the miR655 cluster and has available expression data [PMC7465874]. It has also been associated with various traits such as weight loss and lean mass [PMC5659802]. In CAP (community-acquired pneumonia), plasma levels of MIR409 were reduced compared to healthy controls [PMC8358855]. Furthermore, MIR409 was identified as a hub gene in SJS/TEN (Stevens-Johnson syndrome/toxic epidermal necrolysis) and has been reported in previous studies as differentially expressed miRNA [PMC9027774] [PMC4393113]. The association between copy number variations at 14q32.2-q32.31, including MIR409, and sensitivity to bleomycin in renal cell carcinoma cell lines was observed [PMC9716673]. Finally, predicted targets of MIR409 include CTNND1, CTNNA1, and CTNNB1 which have implications for pancreatic cancer prognosis  proteins. [PMC10057657].

Literature search
56 open access papers mention hsa-mir-409
(192 sentences)


8528 reads, 122 reads per million, 121 experiments

      u       A    AC         -    - AUc 
ugguac cggggag GGUU  CCGAGCAAC UUUG C   u
|||||| ||||||| ||||  ||||||||| |||| |    
acuaug gcuuuUC CCAA  GGCUCGUUG AAGc g   g
      -       C    GU         U    a cag 

Annotation confidence High
Do you think this miRNA is real?
The mature sequence shown here represents the most commonly cloned form from large-scale cloning studies [4]. The 5' end of the miRNA may be offset with respect to previous annotations.

Genome context
chr14: 101065300-101065378 [+]
Clustered miRNAs
10 other miRNAs are < 10 kb from hsa-mir-409
Name Accession Chromosome Start End Strand Confidence

Disease association
hsa-mir-409 is associated with one or more human diseases in the Human microRNA Disease Database
Disease Description Category PubMed ID

Database links

Mature hsa-miR-409-5p

Accession MIMAT0001638
Description Homo sapiens hsa-miR-409-5p mature miRNA
Evidence experimental
cloned [1,3-4]
Database links
Predicted targets

Mature hsa-miR-409-3p

Accession MIMAT0001639
Description Homo sapiens hsa-miR-409-3p mature miRNA
Evidence experimental
cloned [1,3-4], array-cloned [2]
Database links
Predicted targets


  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: 15891114
    Clustering and conservation patterns of human microRNAs
    "Altuvia Y, Landgraf P, Lithwick G, Elefant N, Pfeffer S, Aravin A, Brownstein MJ, Tuschl T, Margalit H"
    "Nucleic Acids Res (2005) 33:2697-2706

  3. PubMed ID: 15965474
    Identification of hundreds of conserved and nonconserved human microRNAs
    "Bentwich I, Avniel A, Karov Y, Aharonov R, Gilad S, Barad O, Barzilai A, Einat P, Einav U, Meiri E, Sharon E, Spector Y, Bentwich Z"
    "Nat Genet (2005) 37:766-770

  4. 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