The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR159
  5. pfr-miR159l

Accession: B52659245

Entry

ID: pfr-miR159l
Alias: F1317.J000013.A11
Sequence: UUGGAUUGAAGGGAGCUCG
Description: microRNA MIR159 predicted
Species: 紫苏  Species latin name: Perilla frutescens
TCM Name: Zisuzi(紫苏子)   Zisuye(紫苏叶)   Zisugeng(紫苏梗)  
TCM Resource (Sample number): 紫苏叶(1) 紫苏梗(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

apl-miR159ax; ave-miR159k; gma-miR159aq; llc-miR159i; lpu-miR159bd; mca-miR159ap; pav-miR159ar; pfr-miR159l; por-miR159av; rja-miR159au;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0033   17.9   0.0  cm      165      182 ~.           1          18 + ~. 1.00    5' 0.50
                                  ???????  ???????? NC
                          ~~~~~~~->>>>>>>-->>>>>>>> CS
               MIR159  13 <[152]*UUGGAcuGAAGGGAGCUC 182
                                 UUGGA UGAAGGGAGCUC
         rja-miR159au   1 <[  0]*UUGGAUUGAAGGGAGCUC 18
                          .......****************** PP

Targets

Predicted by TargetFinder

NM_000476 ;   NM_001024455 ;   NM_001031684 ;   NM_001047160 ;   NM_001134774 ;   NM_001134775 ;   NM_001134776 ;   NM_001167671 ;   NM_001167672 ;   NM_001184773 ;   NM_001184774 ;   NM_001184775 ;   NM_001184776 ;   NM_001184777 ;   NM_001195272 ;   NM_001195446 ;   NM_001242412 ;   NM_001256850 ;   NM_001267550 ;   NM_001267556 ;   NM_001267558 ;   NM_001267559 ;   NM_001271634 ;   NM_001288824 ;   NM_001288825 ;   NM_001288826 ;   NM_001288827 ;   NM_001288828 ;   NM_001318121 ;   NM_001318122 ;   NM_001318734 ;   NM_001321265 ;   NM_001321266 ;   NM_001321267 ;   NM_001363802 ;   NM_001368133 ;   NM_003319 ;   NM_005260 ;   NM_005288 ;   NM_005444 ;   NM_005578 ;   NM_005863 ;   NM_013232 ;   NM_018383 ;   NM_020731 ;   NM_021115 ;   NM_022822 ;   NM_031889 ;   NM_033400 ;   NM_133378 ;   NM_133432 ;   NM_133437 ;   NM_138694 ;   NM_138799 ;   NM_170724 ;   NR_003713 ;   NR_024872 ;   NR_024873 ;   NR_073040 ;   NR_073390 ;   NR_109833 ;   NR_135598 ;   NR_135599 ;   NR_135600 ;   NR_135603 ;   NR_135604 ;   NR_135605 ;  

Predicted by TAPIR

NM_000476 ;   NM_001004434 ;   NM_001024455 ;   NM_001025356 ;   NM_001031684 ;   NM_001047160 ;   NM_001134774 ;   NM_001134775 ;   NM_001134776 ;   NM_001142678 ;   NM_001142679 ;   NM_001184773 ;   NM_001184774 ;   NM_001184775 ;   NM_001184776 ;   NM_001184777 ;   NM_001195272 ;   NM_001195446 ;   NM_001204803 ;   NM_001218 ;   NM_001242412 ;   NM_001256850 ;   NM_001267550 ;   NM_001267556 ;   NM_001267558 ;   NM_001267559 ;   NM_001271634 ;   NM_001293642 ;   NM_001300860 ;   NM_001318121 ;   NM_001318122 ;   NM_001318734 ;   NM_001363802 ;   NM_001370182 ;   NM_001370183 ;   NM_001370184 ;   NM_001370185 ;   NM_001370186 ;   NM_003319 ;   NM_004686 ;   NM_005444 ;   NM_005863 ;   NM_013232 ;   NM_014829 ;   NM_018383 ;   NM_020731 ;   NM_021115 ;   NM_022822 ;   NM_031912 ;   NM_032513 ;   NM_133378 ;   NM_133432 ;   NM_133437 ;   NM_138694 ;   NM_170724 ;   NM_181519 ;   NM_206925 ;   NR_003713 ;   NR_073040 ;   NR_073390 ;   NR_109833 ;   NR_125341 ;   NR_135511 ;   NR_146089 ;