The Bencao (Herbal) Database（本草数据库）

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

Accession: B13502843

Entry

ID: cba-miR319
Alias: F230.K000022.A29
Sequence: CUUGGACUGAAGGGAGCUCC
Description: MIR319 putative
Species: 金毛狗  Species latin name: Cibotium barometz
TCM Name: Gouji(狗脊)  
TCM Resource (Sample number): 狗脊(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

ppt-miR319a; ppt-miR319b; sly-miR319a;

Bencao Homologs

apl-miR319e; bca-miR319d; cba-miR319; cco-miR319g; clo-miR319d; gbi-miR319c; gmc-miR319e; hof-miR319d; ini-miR319c; llc-miR319c; lpu-miR319c; mca-miR319e; pfr-miR319d; rja-miR319e; sch-miR319d; smi-miR319d;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0015   19.3   0.0  cm      164      183 ~~           1          20 + ~~ 1.00 5'&3' 0.60
                                   ???????  ????????        NC
                          ~~~~~~~-->>>>>>>-->>>>>>>>:~~~~~~ CS
               MIR159   1 <[163]*uUUGGAcuGAAGGGAGCUCC*[13]> 196
                                  UUGGACUGAAGGGAGCUCC
          smi-miR319d   1 <[  0]*CUUGGACUGAAGGGAGCUCC*[ 0]> 20
                          .......********************...... PP

Targets

Predicted by TargetFinder

NM_001010915 ;   NM_001042450 ;   NM_001166269 ;   NM_001166270 ;   NM_001171740 ;   NM_001171741 ;   NM_001256850 ;   NM_001267550 ;   NM_001270648 ;   NM_001271634 ;   NM_001276418 ;   NM_001286191 ;   NM_001286192 ;   NM_001286195 ;   NM_001286196 ;   NM_001286197 ;   NM_001286198 ;   NM_001300860 ;   NM_001307985 ;   NM_001321883 ;   NM_001321903 ;   NM_003319 ;   NM_005444 ;   NM_005445 ;   NM_014448 ;   NM_014829 ;   NM_014866 ;   NM_014906 ;   NM_016210 ;   NM_017815 ;   NM_018484 ;   NM_022895 ;   NM_133378 ;   NM_133432 ;   NM_133437 ;   NM_152351 ;   NM_173808 ;   NR_029401 ;   NR_033908 ;   NR_048561 ;   NR_073390 ;   NR_104409 ;   NR_125341 ;   NR_132119 ;   NR_135112 ;  

Predicted by TAPIR

NM_001114093 ;   NM_001166269 ;   NM_001166270 ;   NM_001171740 ;   NM_001171741 ;   NM_001205206 ;   NM_001205207 ;   NM_001256850 ;   NM_001267550 ;   NM_001276418 ;   NM_001286191 ;   NM_001286192 ;   NM_001286195 ;   NM_001286196 ;   NM_001286197 ;   NM_001286198 ;   NM_001300860 ;   NM_001307985 ;   NM_001352510 ;   NM_001352511 ;   NM_001352512 ;   NM_001363850 ;   NM_001522 ;   NM_003119 ;   NM_003319 ;   NM_014829 ;   NM_014866 ;   NM_015578 ;   NM_016210 ;   NM_017815 ;   NM_018484 ;   NM_022895 ;   NM_031287 ;   NM_133378 ;   NM_133432 ;   NM_133437 ;   NM_173808 ;   NM_194255 ;   NR_029401 ;   NR_033908 ;   NR_038360 ;   NR_104409 ;   NR_125341 ;   NR_132119 ;   NR_135112 ;