The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR167
  5. cco-miR167c

Accession: B14419371

Entry

ID: cco-miR167c
Alias: F4.L000174.A3D*
Sequence: UGAAGCUGCCAGCAUGAUCUC
Description: MIR167 putative
Species: 补骨脂  Species latin name: Cullen corylifolium
TCM Name: Buguzhi(补骨脂)  
TCM Resource (Sample number): 补骨脂(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

lus-miR167a; vvi-miR167c;

Bencao Homologs

apl-miR167c; cco-miR167c; dst-miR167c; pcn-miR167b; por-miR167c; rch-miR167a; sto-miR167a; vum-miR167b;

Rfam Alignments

>> MIR167_1  microRNA MIR167_1
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !   0.00065   21.4   0.0  cm       14       34 ~~           1          21 + ~~ 1.00 5'&3' 0.52
                                                               ??? ?????  ??????????       NC
                                                         ~~~~~~<<<-<<<<<--<<<<<<<<<<~~~~~~ CS
                                             MIR167_1  1 <[13]*UGAAGCUGCCAGCAUGAuCUg*[96]> 130
                                                               UGAAGCUGCCAGCAUGAUCU
                                          vum-miR167b  1 <[ 0]*UGAAGCUGCCAGCAUGAUCUC*[ 0]> 21
                                                         ......*********************...... PP

Targets

Predicted by TargetFinder

NM_001018057 ;   NM_001159770 ;   NM_001198773 ;   NM_001198774 ;   NM_001198775 ;   NM_001307960 ;   NM_001308026 ;   NM_001321538 ;   NM_001321539 ;   NM_001321981 ;   NM_001330220 ;   NM_001330332 ;   NM_001330721 ;   NM_001352691 ;   NM_001352692 ;   NM_001352693 ;   NM_001369623 ;   NM_001369624 ;   NM_001369625 ;   NM_001369626 ;   NM_001369628 ;   NM_001369629 ;   NM_001370528 ;   NM_002651 ;   NM_013253 ;   NM_015881 ;   NM_020880 ;   NM_025141 ;   NM_078474 ;   NM_139177 ;   NM_172364 ;   NM_198859 ;   NM_199280 ;   NR_038253 ;   NR_038254 ;   NR_038255 ;   NR_110089 ;   NR_120673 ;   NR_121624 ;  

Predicted by TAPIR

NM_001080509 ;   NM_001145024 ;   NM_001159770 ;   NM_001307960 ;   NM_001308026 ;   NM_001321538 ;   NM_001321539 ;   NM_001321981 ;   NM_001330332 ;   NM_001352691 ;   NM_001352692 ;   NM_001352693 ;   NM_001370301 ;   NM_001370302 ;   NM_001370528 ;   NM_020880 ;   NM_025141 ;   NM_078474 ;   NM_139177 ;   NM_153833 ;   NM_172364 ;   NM_198859 ;   NM_199280 ;   NR_026963 ;   NR_038253 ;   NR_038254 ;   NR_038255 ;   NR_040018 ;   NR_040019 ;   NR_110089 ;   NR_120673 ;