The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR164
  5. gja-miR164b

Accession: B33735827

Entry

ID: gja-miR164b
Alias: F3393.K000018.A3D
Sequence: UGGAGAAGCAGGGCACGUGC
Description: MIR164 putative
Species: 栀子  Species latin name: Gardenia jasminoides
TCM Name: Zhizi(栀子)   Jiaozhizi(焦栀子)  
TCM Resource (Sample number): 栀子(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

gma-miR164b; gma-miR164c; gma-miR164d;

Bencao Homologs

apl-miR164b; ave-miR164; cmd-miR164b; cof-miR164b; csp-miR164b; csu-miR164a; gja-miR164b; hcr-miR164b; lfo-miR164b; llc-miR164a; mca-miR164a; nca-miR164b; nte-miR164b; pav-miR164a; pfr-miR164; por-miR164b; ppr-miR164; pvl-miR164b; rch-miR164b; sar-miR164a; smi-miR164b; twi-miR164a;

Rfam Alignments

>> MIR164  microRNA MIR164
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !   0.00022   21.1   0.0  cm       11       30 ~~           1          20 + ~~ 1.00 5'&3' 0.65
                                                              ????????  ??????????       NC
                                                        ~~~~~~<<<<<<<<--<<<<<<<<<<~~~~~~ CS
                                              MIR164  1 <[10]*UGGaGAAGCAGgGCACgUGc*[79]> 109
                                                              UGGAGAAGCAGGGCACGUGC
                                         twi-miR164a  1 <[ 0]*UGGAGAAGCAGGGCACGUGC*[ 0]> 20
                                                        ......********************...... PP

Targets

Predicted by TargetFinder

NM_000168 ;   NM_001033521 ;   NM_001033522 ;   NM_001127244 ;   NM_001127245 ;   NM_001128631 ;   NM_001136537 ;   NM_001137673 ;   NM_001145044 ;   NM_001145306 ;   NM_001171191 ;   NM_001171192 ;   NM_001171193 ;   NM_001172655 ;   NM_001184785 ;   NM_001184786 ;   NM_001184787 ;   NM_001184788 ;   NM_001184789 ;   NM_001184790 ;   NM_001184791 ;   NM_001191323 ;   NM_001206984 ;   NM_001256534 ;   NM_001259 ;   NM_001277198 ;   NM_001277199 ;   NM_001277200 ;   NM_001287387 ;   NM_001288654 ;   NM_001288655 ;   NM_001288800 ;   NM_001302705 ;   NM_001318503 ;   NM_001321326 ;   NM_001322033 ;   NM_001324 ;   NM_001329938 ;   NM_001329939 ;   NM_001363734 ;   NM_001368719 ;   NM_001395 ;   NM_001756 ;   NM_001961 ;   NM_002039 ;   NM_003239 ;   NM_004370 ;   NM_004516 ;   NM_005984 ;   NM_006160 ;   NM_006454 ;   NM_007045 ;   NM_012174 ;   NM_013272 ;   NM_013348 ;   NM_013372 ;   NM_014184 ;   NM_014423 ;   NM_015210 ;   NM_015338 ;   NM_017711 ;   NM_018260 ;   NM_018463 ;   NM_019594 ;   NM_019619 ;   NM_020184 ;   NM_022492 ;   NM_024819 ;   NM_080645 ;   NM_145236 ;   NM_153348 ;   NM_153464 ;   NM_173791 ;   NM_194429 ;   NM_199126 ;   NM_207123 ;   NR_003929 ;   NR_026814 ;   NR_027107 ;   NR_027263 ;   NR_027749 ;   NR_046298 ;   NR_102347 ;   NR_111982 ;   NR_125905 ;   NR_130744 ;   NR_144354 ;   NR_144355 ;   NR_144356 ;   NR_144357 ;   NR_147202 ;  

Predicted by TAPIR

NM_000033 ;   NM_000979 ;   NM_001013836 ;   NM_001013837 ;   NM_001080395 ;   NM_001127244 ;   NM_001127245 ;   NM_001128631 ;   NM_001159554 ;   NM_001164326 ;   NM_001171191 ;   NM_001171192 ;   NM_001171193 ;   NM_001172655 ;   NM_001184785 ;   NM_001184786 ;   NM_001184787 ;   NM_001184788 ;   NM_001184789 ;   NM_001184790 ;   NM_001184791 ;   NM_001204897 ;   NM_001204898 ;   NM_001206984 ;   NM_001257328 ;   NM_001257329 ;   NM_001257330 ;   NM_001257331 ;   NM_001270490 ;   NM_001277198 ;   NM_001277199 ;   NM_001277200 ;   NM_001282396 ;   NM_001282397 ;   NM_001286441 ;   NM_001288654 ;   NM_001288655 ;   NM_001289010 ;   NM_001300961 ;   NM_001300962 ;   NM_001300966 ;   NM_001302705 ;   NM_001304523 ;   NM_001304524 ;   NM_001304525 ;   NM_001308068 ;   NM_001321326 ;   NM_001321544 ;   NM_001322033 ;   NM_001324073 ;   NM_001324076 ;   NM_001329938 ;   NM_001329939 ;   NM_001330064 ;   NM_001349874 ;   NM_001349875 ;   NM_001349876 ;   NM_001351267 ;   NM_001351862 ;   NM_001363734 ;   NM_001756 ;   NM_002039 ;   NM_003239 ;   NM_003550 ;   NM_004313 ;   NM_004920 ;   NM_005446 ;   NM_006454 ;   NM_006492 ;   NM_006696 ;   NM_012174 ;   NM_013348 ;   NM_014184 ;   NM_014825 ;   NM_015338 ;   NM_016257 ;   NM_017711 ;   NM_018260 ;   NM_019594 ;   NM_019619 ;   NM_020379 ;   NM_020799 ;   NM_022492 ;   NM_024819 ;   NM_032296 ;   NM_138461 ;   NM_139199 ;   NM_152596 ;   NM_173791 ;   NM_178526 ;   NM_199004 ;   NM_207123 ;   NR_003929 ;   NR_026814 ;   NR_027107 ;   NR_027749 ;   NR_037950 ;   NR_047516 ;   NR_073022 ;   NR_102347 ;   NR_111982 ;   NR_125905 ;   NR_144354 ;   NR_144355 ;   NR_144356 ;   NR_144357 ;   NR_148936 ;