The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR159
  5. cmd-miR159k

Accession: B19019234

Entry

ID: cmd-miR159k
Alias: F11064.L000042.A25*
Sequence: UUUGGAUUGAAGGGAGCUCCA
Description: microRNA MIR159 predicted
Species: 香橼  Species latin name: Citrus medica
TCM Name: Foshou(佛手)   Zhiqiao(枳壳)   Zhishi(枳实)   Xiangyuan(香橼)  
TCM Resource (Sample number): 枳壳(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bsr-miR159k; apl-miR159bk; ave-miR159p; bmj-miR159p; cco-miR159bk; ccs-miR159ba; cmd-miR159k; cmo-miR159m; cso-miR159p; dst-miR159s; gbi-miR159n; gsi-miR159i; ini-miR159m; lfo-miR159m; lpu-miR159bw; mca-miR159av; nnu-miR159bd; pav-miR159aw; pfr-miR159p; por-miR159bh; psu-miR159as; rch-miR159aq; rcr-miR159az; rja-miR159ay; rte-miR159g; sdi-miR159f; sgl-miR159n; sto-miR159aw;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0013   19.6   0.0  cm      164      183 ~.           1          20 + ~. 1.00    5' 0.50
                                                                 ???????  ????????  NC
                                                        ~~~~~~~-->>>>>>>-->>>>>>>>: CS
                                             MIR159  13 <[151]*uUUGGAcuGAAGGGAGCUCC 183
                                                               UUUGGA UGAAGGGAGCUCC
                                       sto-miR159aw   1 <[  0]*UUUGGAUUGAAGGGAGCUCC 20
                                                        .......******************** PP

Targets

Predicted by TargetFinder

NM_001195272 ;   NM_001242412 ;   NM_001267556 ;   NM_001267558 ;   NM_001267559 ;   NM_001271634 ;   NM_001300860 ;   NM_005444 ;   NM_005445 ;   NM_005544 ;   NM_006456 ;   NM_013232 ;   NM_014829 ;   NM_020731 ;   NM_138694 ;   NM_170724 ;   NR_003713 ;   NR_073390 ;   NR_125341 ;   NR_134315 ;  

Predicted by TAPIR

NM_001242412 ;   NM_001267556 ;   NM_001267558 ;   NM_001267559 ;   NM_001271634 ;   NM_001300860 ;   NM_001362843 ;   NM_001429 ;   NM_005444 ;   NM_013232 ;   NM_014829 ;   NM_020731 ;   NR_003713 ;   NR_073390 ;   NR_125341 ;   NR_132988 ;   NR_146089 ;