The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR166
  5. ala-miR166c

Accession: B05729682

Entry

ID: ala-miR166c
Alias: F37.J000030.A3D*
Sequence: UCGGACCAGGCUUCAUUCC
Description: MIR166 putative
Species: 牛蒡  Species latin name: Arctium lappa
TCM Name: Niubangzi(牛蒡子)  
TCM Resource (Sample number): 牛蒡子(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

hbr-miR166a; mes-miR166j; pde-miR166a; pde-miR166b; vvi-miR166a; vvi-miR166b;

Bencao Homologs

Bjl-miR166b; Bsr-miR166c; Btmz-miR166b; aan-miR166b; aar-miR166b; acn-miR166b; ade-miR166c; aeu-miR166b; aha-miR166c; ala-miR166c; aox-miR166b; apa-miR166b; apl-miR166c; ath-miR166c; ave-miR166b; bca-miR166b; bch-miR166c; bpi-miR166b; car-miR166c; cas-miR166b; cau-miR166b; cba-miR166b; cco-miR166ad; ccs-miR166ad; cga-miR166b; cid-miR166b; cit-miR166c; cmd-miR166c; cmn-miR166b; cmo-miR166b; cof-miR166ae; cso-miR166c; csp-miR166d; csu-miR166b; dst-miR166d; efo-miR166b; ehu-miR166b; eja-miR166c; epr-miR166ac; est-miR166c; fmu-miR166c; fsu-miR166c; gbi-miR166ae; gja-miR166c; gma-miR166c; gmc-miR166c; gpe-miR166b; gsi-miR166c; hcr-miR166af; hmu-miR166c; hof-miR166c; hvu-miR166b; iba-miR166c; ija-miR166b; ili-miR166b; ini-miR166c; kga-miR166; lcr-miR166b; lfo-miR166c; lgr-miR166b; ljc-miR166c; lji-miR166b; ljn-miR166b; ljp-miR166c; llc-miR166c; llu-miR166c; lpu-miR166ac; mal-miR166c; mca-miR166ad; mch-miR166c; nca-miR166c; nja-miR166b; nnu-miR166ac; nsc-miR166b; nte-miR166c; ofi-miR166b; pas-miR166c; pav-miR166c; pci-miR166b; pcl-miR166d; pcn-miR166c; pfr-miR166af; pmu-miR166b; poe-miR166c; por-miR166c; ptn-miR166c; pvl-miR166af; rch-miR166ac; rcr-miR166d; rja-miR166c; rte-miR166c; sad-miR166b; sar-miR166b; sba-miR166b; sbc-miR166b; sca-miR166b; sch-miR166d; sdf-miR166c; smi-miR166b; smn-miR166b; sor-miR166c; ssa-miR166c; sse-miR166c; ssu-miR166c; sto-miR166b; tch-miR166b; tci-miR166c; tfa-miR166b; tja-miR166b; tmo-miR166b; tru-miR166b; twi-miR166b; vof-miR166c; vph-miR166b; vtr-miR166e; vum-miR166b; xst-miR166a; zmu-miR166b;

Rfam Alignments

>> mir-166  mir-166 microRNA precursor
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !   0.00027   21.7   0.0  cm      101      119 ~~           1          19 + ~~ 1.00 5'&3' 0.58
                                                                  ???  ??????  ??????      NC
                                                           ~~~~~~~>>>-->>>>>>-->>>>>>~~~~~ CS
                                               mir-166   1 <[100]*UCGGACCAGGCUUCAUUCC*[7]> 126
                                                                  UCGGACCAGGCUUCAUUCC
                                           zmu-miR166b   1 <[  0]*UCGGACCAGGCUUCAUUCC*[0]> 19
                                                           .......*******************..... PP

Targets

Predicted by TargetFinder

NM_000738 ;   NM_000875 ;   NM_001164189 ;   NM_001164194 ;   NM_001171 ;   NM_001291858 ;   NM_001300791 ;   NM_001300792 ;   NM_001351800 ;   NM_001358263 ;   NM_003128 ;   NM_005817 ;   NM_005941 ;   NM_007054 ;   NM_015221 ;   NM_018914 ;   NM_032091 ;   NM_032092 ;   NM_133259 ;   NM_178313 ;   NR_047690 ;   NR_104177 ;   NR_135288 ;   NR_147784 ;   NR_148968 ;  

Predicted by TAPIR

NM_000738 ;   NM_000875 ;   NM_001004439 ;   NM_001130831 ;   NM_001171 ;   NM_001201576 ;   NM_001278119 ;   NM_001278122 ;   NM_001291858 ;   NM_001351800 ;   NM_001358263 ;   NM_001367835 ;   NM_001369407 ;   NM_001369420 ;   NM_001369421 ;   NM_001369422 ;   NM_002207 ;   NM_003128 ;   NM_003644 ;   NM_005941 ;   NM_006298 ;   NM_014691 ;   NM_015221 ;   NM_017811 ;   NM_017814 ;   NM_018914 ;   NM_020360 ;   NM_032091 ;   NM_032092 ;   NM_175736 ;   NM_178313 ;   NM_198900 ;   NM_201432 ;   NM_201433 ;   NR_037719 ;   NR_120634 ;   NR_125359 ;   NR_147784 ;   NR_148968 ;