The Bencao (Herbal) Database（本草数据库）

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

Accession: B72113961

Entry

ID: Bjl-miR159l
Alias: F9005.J000007.A11*
Sequence: UUUGGAUUGAAGGGAGCUU
Description: microRNA MIR159 predicted
Species: 焦榔  Species latin name: -
TCM Name:
TCM Resource (Sample number): 焦榔(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR159l; ala-miR159o; apl-miR159be; cco-miR159be; cof-miR159m; csm-miR159i; cso-miR159k; csp-miR159am; dst-miR159q; ehu-miR159k; fmu-miR159f; gja-miR159f; gma-miR159av; ini-miR159l; lfo-miR159k; lpu-miR159bn; mca-miR159at; nnu-miR159ay; nte-miR159i; pav-miR159au; pgi-miR159d; por-miR159bb; smi-miR159as; sto-miR159as; tci-miR159j; vum-miR159m;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0073   16.5   0.0  cm      164      181 ~.           1          18 + ~. 1.00    5' 0.44
                       ???????  ??????? NC
              ~~~~~~~-->>>>>>>-->>>>>>> CS
   MIR159  14 <[150]*uUUGGAcuGAAGGGAGCU 181
                     UUUGGA UGAAGGGAGCU
vum-miR159m   1 <[  0]*UUUGGAUUGAAGGGAGCU 18
              .......****************** PP

Targets

Predicted by TargetFinder

NM_001077484 ;   NM_001167671 ;   NM_001167672 ;   NM_001170629 ;   NM_001195272 ;   NM_001249 ;   NM_001271634 ;   NM_001278387 ;   NM_001278388 ;   NM_001278389 ;   NM_001278390 ;   NM_001288824 ;   NM_001288825 ;   NM_001288826 ;   NM_001288827 ;   NM_001288828 ;   NM_001304349 ;   NM_001308220 ;   NM_001321985 ;   NM_001321986 ;   NM_001321987 ;   NM_001321988 ;   NM_001350233 ;   NM_001351444 ;   NM_001368133 ;   NM_001553 ;   NM_002730 ;   NM_005260 ;   NM_005370 ;   NM_005444 ;   NM_005445 ;   NM_005578 ;   NM_006456 ;   NM_007361 ;   NM_014906 ;   NM_015021 ;   NM_018380 ;   NM_020920 ;   NM_025057 ;   NM_030674 ;   NM_031889 ;   NM_033266 ;   NM_054107 ;   NM_138694 ;   NM_152544 ;   NM_170724 ;   NM_207518 ;   NR_048561 ;   NR_073390 ;   NR_120611 ;   NR_134315 ;   NR_135572 ;  

Predicted by TAPIR

NM_001012761 ;   NM_001079692 ;   NM_001080534 ;   NM_001135109 ;   NM_001170629 ;   NM_001195272 ;   NM_001206671 ;   NM_001206672 ;   NM_001249 ;   NM_001261827 ;   NM_001261828 ;   NM_001304349 ;   NM_001307960 ;   NM_001308026 ;   NM_001321985 ;   NM_001329919 ;   NM_001346690 ;   NM_001346691 ;   NM_001346692 ;   NM_001346694 ;   NM_001366509 ;   NM_001366510 ;   NM_001366511 ;   NM_001522 ;   NM_003609 ;   NM_014906 ;   NM_020920 ;   NM_024557 ;   NM_025057 ;   NM_138694 ;   NM_170724 ;   NM_207518 ;   NR_048561 ;   NR_134315 ;   NR_135572 ;   NR_144497 ;