The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR319
  5. aof-miR319g

Accession: B06598539

Entry

ID: aof-miR319g
Alias: F279.K000186.A3D
Sequence: UUGGACUGAAGGGAGCUCCU
Description: MIR319 putative
Species: 高良姜  Species latin name: Alpinia officinarum
TCM Name: Gaoliangjiang(高良姜)  
TCM Resource (Sample number): 高良姜(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

cme-miR319c; cme-miR319d; gma-miR319c; ptc-miR319e; ptc-miR319f; ptc-miR319g; ptc-miR319h; stu-miR319b;

Bencao Homologs

aha-miR319e; aof-miR319g; apl-miR319h; bca-miR319g; bmj-miR319e; cco-miR319i; ccs-miR319f; clo-miR319f; cof-miR319d; dst-miR319e; epr-miR319c; est-miR319g; gmc-miR319h; gpe-miR319e; hcr-miR319e; hof-miR319g; ini-miR319e; kga-miR319e; llc-miR319d; mca-miR319f; nnu-miR319g; nsc-miR319d; nte-miR319c; pav-miR319f; pcn-miR319c; pfr-miR319e; por-miR319f; psu-miR319d; rcr-miR319g; rja-miR319g; sbc-miR319f; sgl-miR319f; smi-miR319f; ssu-miR319f; sto-miR319d; tmo-miR319d; twi-miR319e; zof-miR319f;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0012   19.8   0.0  cm      165      184 ~~           1          20 + ~~ 1.00 5'&3' 0.55
                                                               ???????  ????????         NC
                                                       ~~~~~~~->>>>>>>-->>>>>>>>::~~~~~~ CS
                                            MIR159   1 <[164]*UUGGAcuGAAGGGAGCUCCu*[12]> 196
                                                              UUGGACUGAAGGGAGCUCCU
                                       zof-miR319f   1 <[  0]*UUGGACUGAAGGGAGCUCCU*[ 0]> 20
                                                       .......********************...... PP

Targets

Predicted by TargetFinder

NM_001010915 ;   NM_001166347 ;   NM_001166348 ;   NM_001166349 ;   NM_001171740 ;   NM_001171741 ;   NM_001276418 ;   NM_001286191 ;   NM_001286192 ;   NM_001286195 ;   NM_001286196 ;   NM_001286197 ;   NM_001286198 ;   NM_001300860 ;   NM_001321265 ;   NM_001321266 ;   NM_001321267 ;   NM_001321883 ;   NM_001321903 ;   NM_001321920 ;   NM_001321922 ;   NM_001321923 ;   NM_003076 ;   NM_005445 ;   NM_014829 ;   NM_014866 ;   NM_014906 ;   NM_015603 ;   NM_016210 ;   NM_020447 ;   NM_022781 ;   NM_022895 ;   NM_024546 ;   NM_033071 ;   NM_138799 ;   NM_139071 ;   NM_173626 ;   NM_173808 ;   NM_194328 ;   NM_194329 ;   NM_194330 ;   NM_194332 ;   NR_003682 ;   NR_048561 ;   NR_104409 ;   NR_125341 ;   NR_135598 ;   NR_135599 ;   NR_135600 ;   NR_135603 ;   NR_135604 ;   NR_135605 ;   NR_135841 ;   NR_135842 ;   NR_135843 ;   NR_135844 ;   NR_135845 ;   NR_135846 ;   NR_135847 ;   NR_135848 ;   NR_135849 ;   NR_135850 ;   NR_135851 ;   NR_135852 ;   NR_135853 ;   NR_135854 ;  

Predicted by TAPIR

NM_001010915 ;   NM_001114093 ;   NM_001166347 ;   NM_001166348 ;   NM_001166349 ;   NM_001171740 ;   NM_001171741 ;   NM_001174071 ;   NM_001174072 ;   NM_001286191 ;   NM_001286192 ;   NM_001286195 ;   NM_001286196 ;   NM_001286197 ;   NM_001286198 ;   NM_001300860 ;   NM_001321883 ;   NM_001321903 ;   NM_001321920 ;   NM_001321922 ;   NM_001321923 ;   NM_003076 ;   NM_014829 ;   NM_015578 ;   NM_015603 ;   NM_016210 ;   NM_020447 ;   NM_022781 ;   NM_022895 ;   NM_024546 ;   NM_024630 ;   NM_033071 ;   NM_139071 ;   NM_173626 ;   NM_173808 ;   NM_178276 ;   NM_182961 ;   NM_194328 ;   NM_194329 ;   NM_194330 ;   NM_194332 ;   NR_003682 ;   NR_024042 ;   NR_104409 ;   NR_125341 ;   NR_126060 ;   NR_126061 ;   NR_135841 ;   NR_135842 ;   NR_135843 ;   NR_135844 ;   NR_135845 ;   NR_135846 ;   NR_135847 ;   NR_135848 ;   NR_135849 ;   NR_135850 ;   NR_135851 ;   NR_135852 ;   NR_135853 ;   NR_135854 ;