The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR160
  5. nja-miR160

Accession: B47981177

Entry

ID: nja-miR160
Alias: F381.K000368.A3D*
Sequence: UGCCUGGCUCCCUGUAUGCC
Description: MIR160 putative
Species: 甘松  Species latin name: Nardostachys jatamansi
TCM Name: Gansong(甘松)  
TCM Resource (Sample number): 甘松(1)
Predicted by Mirnovo: -
Evidence support: Mirbase
Experimental status: Not yet

Homologs

miRBase Homologs

bdi-miR160f; cas-miR160a; cas-miR160b-5p; gma-miR160b; gma-miR160c; gma-miR160d; gma-miR160e; htu-miR160a;

Bencao Homologs

aan-miR160b; ala-miR160; apl-miR160b; ath-miR160; ave-miR160b; bca-miR160; bmj-miR160; cas-miR160; cco-miR160b; ccs-miR160b; cit-miR160; cmo-miR160b; cof-miR160; cso-miR160; dst-miR160b; ehu-miR160; eja-miR160b; est-miR160; fmu-miR160; gbi-miR160; gli-miR160; gma-miR160; gmc-miR160; hcr-miR160b; hvu-miR160; ija-miR160; ili-miR160b; lfo-miR160b; ljc-miR160; llc-miR160; lpu-miR160; mca-miR160; mch-miR160; nca-miR160; nja-miR160; nnu-miR160c; nte-miR160; ofi-miR160; pas-miR160; pav-miR160; pcl-miR160; pcn-miR160; pfr-miR160; pmu-miR160; poe-miR160; por-miR160b; psu-miR160; pvl-miR160b; rch-miR160; rcr-miR160b; sar-miR160; smi-miR160b; smn-miR160; sor-miR160; sto-miR160b; tci-miR160; vof-miR160; vum-miR160; zmu-miR160;

Rfam Alignments

>> mir-160  mir-160 microRNA precursor family
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) ?     0.012   17.8   0.0  cm        4       23 ~~           1          20 + ~~ 1.00 5'&3' 0.65
                                                            ??? ??????? ????????       NC
                                                       ~~~~~<<<-<<<<<<<-<<<<<<<<~~~~~~ CS
                                            mir-160  1 <[3]*UGCCUGGCUCCCuGuAUGCC*[67]> 90
                                                            UGCCUGGCUCCCUGUAUGCC
                                         zmu-miR160  1 <[0]*UGCCUGGCUCCCUGUAUGCC*[ 0]> 20
                                                       .....********************...... PP

Targets

Predicted by TargetFinder

NM_001003678 ;   NM_001008405 ;   NM_001014286 ;   NM_001017392 ;   NM_001029883 ;   NM_001037806 ;   NM_001039948 ;   NM_001040703 ;   NM_001080471 ;   NM_001098497 ;   NM_001098498 ;   NM_001098623 ;   NM_001114377 ;   NM_001130448 ;   NM_001178003 ;   NM_001184771 ;   NM_001195227 ;   NM_001195520 ;   NM_001199427 ;   NM_001206833 ;   NM_001271223 ;   NM_001278480 ;   NM_001278481 ;   NM_001278482 ;   NM_001280799 ;   NM_001286564 ;   NM_001300832 ;   NM_001300833 ;   NM_001316767 ;   NM_001321281 ;   NM_001321282 ;   NM_001321283 ;   NM_001321285 ;   NM_001321697 ;   NM_001321698 ;   NM_001321699 ;   NM_001321988 ;   NM_001324310 ;   NM_001324311 ;   NM_001349608 ;   NM_001349609 ;   NM_001349610 ;   NM_001349612 ;   NM_001349613 ;   NM_001349614 ;   NM_001349615 ;   NM_001349616 ;   NM_001349617 ;   NM_001349618 ;   NM_001349619 ;   NM_001349620 ;   NM_001349621 ;   NM_001349622 ;   NM_001349623 ;   NM_001349624 ;   NM_001349625 ;   NM_001349626 ;   NM_001352071 ;   NM_001353682 ;   NM_001353683 ;   NM_001363482 ;   NM_001363483 ;   NM_001368048 ;   NM_001371353 ;   NM_001371354 ;   NM_001371356 ;   NM_001371357 ;   NM_002530 ;   NM_002726 ;   NM_003028 ;   NM_003300 ;   NM_006388 ;   NM_012064 ;   NM_014009 ;   NM_014864 ;   NM_014884 ;   NM_015080 ;   NM_015215 ;   NM_015235 ;   NM_017569 ;   NM_017636 ;   NM_017805 ;   NM_018844 ;   NM_024815 ;   NM_031904 ;   NM_032283 ;   NM_033048 ;   NM_033310 ;   NM_052924 ;   NM_133454 ;   NM_138732 ;   NM_144698 ;   NM_145725 ;   NM_145726 ;   NM_152250 ;   NM_153274 ;   NM_173566 ;   NM_178568 ;   NM_182709 ;   NM_182710 ;   NM_194285 ;   NM_213653 ;   NR_027830 ;   NR_027927 ;   NR_045529 ;   NR_110101 ;   NR_110759 ;   NR_133660 ;   NR_147508 ;   NR_147913 ;   NR_147914 ;   NR_147915 ;   NR_163926 ;   NR_163927 ;   NR_163928 ;   NR_163929 ;   NR_163930 ;   NR_163931 ;   NR_163932 ;   NR_163933 ;   NR_163934 ;   NR_163935 ;   NR_163936 ;   NR_163937 ;   NR_163938 ;  

Predicted by TAPIR

NM_001008405 ;   NM_001014286 ;   NM_001017392 ;   NM_001029861 ;   NM_001029883 ;   NM_001037806 ;   NM_001039948 ;   NM_001080471 ;   NM_001098497 ;   NM_001098498 ;   NM_001098623 ;   NM_001114377 ;   NM_001130103 ;   NM_001134400 ;   NM_001134402 ;   NM_001134403 ;   NM_001134404 ;   NM_001164586 ;   NM_001170535 ;   NM_001170536 ;   NM_001178003 ;   NM_001195129 ;   NM_001195520 ;   NM_001199427 ;   NM_001271223 ;   NM_001277333 ;   NM_001278480 ;   NM_001278481 ;   NM_001278482 ;   NM_001280799 ;   NM_001287188 ;   NM_001300832 ;   NM_001300833 ;   NM_001301839 ;   NM_001301855 ;   NM_001316767 ;   NM_001320951 ;   NM_001321697 ;   NM_001321698 ;   NM_001321699 ;   NM_001321988 ;   NM_001324034 ;   NM_001330446 ;   NM_001350979 ;   NM_001350980 ;   NM_001350981 ;   NM_001350982 ;   NM_001350983 ;   NM_001350984 ;   NM_001350985 ;   NM_001350986 ;   NM_001352071 ;   NM_001353682 ;   NM_001353683 ;   NM_001363482 ;   NM_001363483 ;   NM_001368048 ;   NM_001368882 ;   NM_001368883 ;   NM_001368884 ;   NM_001368885 ;   NM_001368886 ;   NM_001368895 ;   NM_001368896 ;   NM_001368897 ;   NM_001368898 ;   NM_001369848 ;   NM_001371353 ;   NM_001371354 ;   NM_001371356 ;   NM_001371357 ;   NM_002291 ;   NM_002530 ;   NM_002539 ;   NM_002726 ;   NM_003028 ;   NM_003300 ;   NM_003486 ;   NM_003842 ;   NM_006766 ;   NM_006836 ;   NM_012064 ;   NM_013260 ;   NM_014009 ;   NM_014884 ;   NM_015080 ;   NM_015086 ;   NM_015235 ;   NM_017569 ;   NM_017805 ;   NM_018188 ;   NM_018367 ;   NM_018844 ;   NM_020643 ;   NM_022075 ;   NM_024556 ;   NM_024815 ;   NM_031904 ;   NM_032283 ;   NM_052875 ;   NM_080798 ;   NM_080800 ;   NM_080801 ;   NM_080802 ;   NM_080805 ;   NM_130466 ;   NM_133454 ;   NM_138732 ;   NM_144698 ;   NM_145115 ;   NM_145725 ;   NM_145726 ;   NM_147187 ;   NM_153274 ;   NM_175063 ;   NM_178568 ;   NM_181746 ;   NM_182580 ;   NM_183415 ;   NM_194285 ;   NM_198525 ;   NM_206538 ;   NM_213653 ;   NR_027140 ;   NR_027830 ;   NR_027927 ;   NR_036150 ;   NR_045529 ;   NR_110759 ;   NR_126036 ;   NR_126037 ;   NR_147508 ;   NR_147846 ;   NR_147847 ;   NR_147913 ;   NR_147914 ;   NR_147915 ;   NR_163926 ;   NR_163927 ;   NR_163928 ;   NR_163929 ;   NR_163930 ;   NR_163931 ;   NR_163932 ;   NR_163933 ;   NR_163934 ;   NR_163935 ;   NR_163936 ;   NR_163937 ;   NR_163938 ;