The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR396
  5. pvl-miR396f

Accession: B55753009

Entry

ID: pvl-miR396f
Alias: F380.L000036.A3D
Sequence: GUUCAAUAAAGCUGUGGGAAG
Description: MIR396 putative
Species: 夏枯草  Species latin name: Prunella vulgaris
TCM Name: Xiakucao(夏枯草)  
TCM Resource (Sample number): 夏枯草(2)
Predicted by Mirnovo: -
Evidence support: Mirbase
Experimental status: Not yet

Homologs

miRBase Homologs

aly-miR396a-3p; ath-miR396a-3p; csi-miR396b-3p; eun-miR396a-3p; fve-miR396a-3p; fve-miR396c-3p; gma-miR396i-3p; mtr-miR396b-3p; sly-miR396a-3p;

Bencao Homologs

Bjl-miR396f; Bsr-miR396d; apl-miR396c; bca-miR396f; bhi-miR396a; bmj-miR396d; cas-miR396c; cco-miR396c; cmd-miR396d; cmo-miR396f; cof-miR396e; csp-miR396f; dst-miR396e; ehu-miR396c; gma-miR396b; gpe-miR396f; gsi-miR396c; hcr-miR396e; lfo-miR396g; nja-miR396c; nnu-miR396h; pav-miR396e; pfr-miR396e; poe-miR396b; por-miR396h; psu-miR396c; pvl-miR396f; rch-miR396c; rja-miR396c; sba-miR396e; sch-miR396c; sdi-miR396d; smi-miR396e; ssu-miR396c; tki-miR396; tmo-miR396d; twi-miR396b;

Rfam Alignments

>> MIR396  microRNA MIR396
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) ?     0.019   18.1   0.0  cm       89      108 ~.           1          20 + ~. 1.00    5' 0.40
                                                                  ? ???? ?????? ???    NC
                                                            ~~~~~~>->>>>->>>>>>->>>--- CS
                                                 MIR396  13 <[76]*GUUCAAgAAAGCcGUGGGAA 108
                                                                  GUUCAA+AAAGC GUGGGAA
                                            twi-miR396b   1 <[ 0]*GUUCAAUAAAGCUGUGGGAA 20
                                                            ......******************** PP

Targets

Predicted by TargetFinder

NM_000108 ;   NM_001145473 ;   NM_001197104 ;   NM_001289752 ;   NM_001330347 ;   NM_005590 ;   NM_005591 ;   NM_005933 ;   NM_014686 ;   NM_015306 ;   NM_024913 ;   NM_031435 ;   NM_144612 ;   NM_152641 ;   NR_073154 ;  

Predicted by TAPIR

NM_001160423 ;   NM_001197104 ;   NM_001282941 ;   NM_002367 ;   NM_005933 ;   NM_006546 ;   NM_014686 ;   NM_024328 ;   NM_024913 ;   NM_031435 ;   NM_152641 ;   NR_003288 ;   NR_073154 ;