The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR159
  5. cof-miR159o

Accession: B21646385

Entry

ID: cof-miR159o
Alias: F10633.K000033.A11
Sequence: UUGGAUUGAAGGGAGCUCUA
Description: microRNA MIR159 predicted
Species: 山茱萸  Species latin name: Cornus officinalis
TCM Name: Shanzhuyu(山茱萸)  
TCM Resource (Sample number): 山茱萸(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR159m; Bsr-miR159i; aan-miR159k; apl-miR159bi; ave-miR159n; bch-miR159b; bmj-miR159o; cco-miR159bh; ccs-miR159ay; cmo-miR159k; cof-miR159o; cso-miR159m; csp-miR159an; dst-miR159r; fsu-miR159g; gbi-miR159l; gja-miR159g; gsi-miR159h; hcr-miR159k; ili-miR159g; lfo-miR159l; ljn-miR159g; lpu-miR159bu; nnu-miR159ba; pfr-miR159n; por-miR159bf; psu-miR159aq; pvl-miR159aq; rch-miR159ao; rcr-miR159ay; rja-miR159ax; sba-miR159g; smi-miR159au; sto-miR159au; tmo-miR159g; vof-miR159i;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0027   18.3   0.0  cm      165      183 ~.           1          19 + ~. 1.00    5' 0.47
                                 ???????  ????????  NC
                         ~~~~~~~->>>>>>>-->>>>>>>>: CS
              MIR159  13 <[152]*UUGGAcuGAAGGGAGCUCC 183
                                UUGGA UGAAGGGAGCUC+
         vof-miR159i   1 <[  0]*UUGGAUUGAAGGGAGCUCU 19
                         .......******************* PP

Targets

Predicted by TargetFinder

NM_001001659 ;   NM_001042762 ;   NM_001167671 ;   NM_001167672 ;   NM_001170637 ;   NM_001195272 ;   NM_001242412 ;   NM_001267556 ;   NM_001267558 ;   NM_001267559 ;   NM_001271634 ;   NM_001287492 ;   NM_001287493 ;   NM_001287494 ;   NM_001287495 ;   NM_001287496 ;   NM_001300860 ;   NM_001346558 ;   NM_001346559 ;   NM_001346560 ;   NM_001346561 ;   NM_001346562 ;   NM_001346563 ;   NM_001346564 ;   NM_001346565 ;   NM_004113 ;   NM_005444 ;   NM_005578 ;   NM_013232 ;   NM_014829 ;   NM_015326 ;   NM_018154 ;   NM_020731 ;   NM_021032 ;   NM_022116 ;   NM_138694 ;   NM_170724 ;   NR_002227 ;   NR_003713 ;   NR_073390 ;   NR_125341 ;  

Predicted by TAPIR

NM_001025356 ;   NM_001042762 ;   NM_001142678 ;   NM_001142679 ;   NM_001167671 ;   NM_001167672 ;   NM_001195272 ;   NM_001204803 ;   NM_001242412 ;   NM_001267556 ;   NM_001267558 ;   NM_001267559 ;   NM_001271634 ;   NM_001287492 ;   NM_001287493 ;   NM_001287494 ;   NM_001287495 ;   NM_001287496 ;   NM_001300860 ;   NM_001346558 ;   NM_001346559 ;   NM_001346560 ;   NM_001346561 ;   NM_001346562 ;   NM_001346563 ;   NM_001346564 ;   NM_001346565 ;   NM_005444 ;   NM_005445 ;   NM_005578 ;   NM_013232 ;   NM_014829 ;   NM_020731 ;   NM_022116 ;   NM_138694 ;   NM_170724 ;   NR_003713 ;   NR_073390 ;   NR_125341 ;   NR_146089 ;