The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR159
  5. gsi-miR159j

Accession: B35097218

Entry

ID: gsi-miR159j
Alias: F14470.L000033.A3D
Sequence: UUUGGAUUGAAGGGAGCUCUC
Description: MIR159 putative
Species: 皂荚  Species latin name: Gleditsia sinensis
TCM Name: Dazaojiao(大皂角)   Zaojiaoci(皂角刺)   Zhuyazao(猪牙皂)  
TCM Resource (Sample number): 皂角刺(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

lus-miR159b;

Bencao Homologs

Bjl-miR159n; apl-miR159bl; cmd-miR159l; gbi-miR159o; gma-miR159ay; gsi-miR159j; lfo-miR159n; lpu-miR159bz; nnu-miR159be; por-miR159bi; psu-miR159at; rch-miR159ar; rja-miR159az; sch-miR159j; sdi-miR159g;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !     0.002   18.9   0.0  cm      164      184 ~~           1          21 + ~~ 1.00 5'&3' 0.48
                                                                     ???????  ????????         NC
                                                            ~~~~~~~-->>>>>>>-->>>>>>>>::~~~~~~ CS
                                                 MIR159   1 <[163]*uUUGGAcuGAAGGGAGCUCCu*[12]> 196
                                                                   UUUGGA UGAAGGGAGCUC++
                                            sdi-miR159g   1 <[  0]*UUUGGAUUGAAGGGAGCUCUC*[ 0]> 21
                                                            .......*********************...... PP

Targets

Predicted by TargetFinder

NM_001079516 ;   NM_001113490 ;   NM_001143974 ;   NM_001167671 ;   NM_001167672 ;   NM_001195272 ;   NM_001271634 ;   NM_001321957 ;   NM_001321958 ;   NM_001321959 ;   NM_001321960 ;   NM_005444 ;   NM_005544 ;   NM_005578 ;   NM_019893 ;   NM_133265 ;   NM_138694 ;   NM_170724 ;   NR_073390 ;   NR_135904 ;   NR_146089 ;  

Predicted by TAPIR

NM_001025356 ;   NM_001113490 ;   NM_001142678 ;   NM_001142679 ;   NM_001195272 ;   NM_001204803 ;   NM_001271634 ;   NM_003967 ;   NM_005444 ;   NM_054107 ;   NM_133265 ;   NM_138694 ;   NM_170724 ;   NR_073390 ;   NR_146089 ;