The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR396
  5. dst-miR396h

Accession: B27976329

Entry

ID: dst-miR396h
Alias: F9895.K000041.A3D*
Sequence: UUCAAUAAAGCUGUGGGAAG
Description: MIR396 putative
Species: 广东金钱草  Species latin name: Desmodium styracifolium
TCM Name: Guangjinqiancao(广金钱草)  
TCM Resource (Sample number): 广金钱草(1)
Predicted by Mirnovo: -
Evidence support: Mirbase
Experimental status: Not yet

Homologs

miRBase Homologs

gma-miR396a-3p;

Bencao Homologs

Bsr-miR396g; apl-miR396f; bca-miR396j; bmj-miR396g; cso-miR396g; csu-miR396c; dst-miR396h; gbi-miR396m; nnu-miR396m; pav-miR396h; por-miR396l; psu-miR396e; pvl-miR396k; rcr-miR396g; rja-miR396f; sba-miR396h; sbc-miR396g;

Rfam Alignments

>> MIR396  microRNA MIR396
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) ?     0.057   16.3   0.0  cm       90      108 ~.           1          19 + ~. 1.00    5' 0.37
                                                                   ???? ?????? ???    NC
                                                            ~~~~~~->>>>->>>>>>->>>--- CS
                                                 MIR396  13 <[77]*UUCAAgAAAGCcGUGGGAA 108
                                                                  UUCAA+AAAGC GUGGGAA
                                            sbc-miR396g   1 <[ 0]*UUCAAUAAAGCUGUGGGAA 19
                                                            ......******************* PP

Targets

Predicted by TargetFinder

NM_000330 ;   NM_001007794 ;   NM_001128160 ;   NM_001128161 ;   NM_001137605 ;   NM_001145473 ;   NM_001184741 ;   NM_001197104 ;   NM_001243094 ;   NM_001267048 ;   NM_001284352 ;   NM_001284353 ;   NM_001289905 ;   NM_001304793 ;   NM_001318889 ;   NM_001330347 ;   NM_001330743 ;   NM_002367 ;   NM_004946 ;   NM_005141 ;   NM_005590 ;   NM_005591 ;   NM_005933 ;   NM_006090 ;   NM_007043 ;   NM_014339 ;   NM_014517 ;   NM_014686 ;   NM_015306 ;   NM_018196 ;   NM_020775 ;   NM_022141 ;   NM_024913 ;   NM_030959 ;   NM_031435 ;   NM_144612 ;   NM_152641 ;   NR_046745 ;   NR_073154 ;   NR_109842 ;   NR_138483 ;   NR_138484 ;   NR_138485 ;   NR_156756 ;  

Predicted by TAPIR

NM_000330 ;   NM_001160423 ;   NM_001184741 ;   NM_001197104 ;   NM_001267048 ;   NM_001284352 ;   NM_001284353 ;   NM_001317061 ;   NM_001318889 ;   NM_001354930 ;   NM_001354931 ;   NM_001354932 ;   NM_001354933 ;   NM_001354934 ;   NM_002367 ;   NM_003804 ;   NM_004946 ;   NM_005141 ;   NM_005933 ;   NM_006546 ;   NM_006927 ;   NM_007043 ;   NM_014686 ;   NM_015306 ;   NM_018196 ;   NM_024328 ;   NM_024913 ;   NM_030959 ;   NM_031435 ;   NM_152641 ;   NR_073154 ;   NR_146457 ;   NR_156756 ;