Stem-loop rno-mir-133b

Accession

MI0003490

Description

Rattus norvegicus rno-mir-133b precursor miRNA

Literature search

85 open access papers mention rno-mir-133b
(341 sentences)

Sequence

461215 reads, 337 reads per million, 413 experiments

cccugcucugGCUGGUCAAACGGAACCAAGUccgucuuccugagaggUUUGGUCCCCUUCAACCAGCUAcagcagggcuggcaa
(((((((.((((((((..((.((.((((((.((.((((...)))))))))))).)).))..)))))))).))))))).......

Structure

-------       c        CA  C  A      U  g    c 
       cccugcu ugGCUGGU  AA GG ACCAAG cc ucuu  
       ||||||| ||||||||  || || |||||| || |||| c
       gggacga AUCGACCA  UU CC UGGUUU gg agag  
aacgguc       c        AC  C  C      -  -    u 

Annotation confidence High

Comments

The mature sequence shown here represents the most commonly cloned form from large-scale cloning studies [2]. The ends of the miRNA may be offset with respect to previous annotations.

Genome context

chr9: 26795649-26795732 [+]

Clustered miRNAs

1 other miRNA is < 10 kb from rno-mir-133b

Mature rno-miR-133b-5p

• Accession: MIMAT0017205
• Description: Rattus norvegicus rno-miR-133b-5p mature miRNA
• Sequence: 11 - GCUGGUCAAACGGAACCAAGU - 31
• Evidence: experimental ; SOLiD [3]

Mature rno-miR-133b-3p

• Accession: MIMAT0003126
• Description: Rattus norvegicus rno-miR-133b-3p mature miRNA
• Sequence: 48 - UUUGGUCCCCUUCAACCAGCUA - 69
• Evidence: experimental ; cloned [1-2], SOLiD [3]

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: 20403161
   Small RNA expression and strain specificity in the rat
   Linsen SE, de Wit E, de Bruijn E, Cuppen E
   BMC Genomics (2010) 11:249


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