The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR27
  5. nnu-miR27c

Accession: B48870750

Entry

ID: nnu-miR27c
Alias: F15151.K000043.A25
Sequence: UUCACAGUGGCUAAGUUCUG
Description: microRNA mir-27 predicted
Species: 莲  Species latin name: Nelumbo nucifera
TCM Name: Lianzi(莲子)   Lianzixin(莲子心)   Lianfang(莲房)   Liaxu(莲须)   Heye(荷叶)   Oujie(藕节)  
TCM Resource (Sample number): 莲房(1)
Predicted by Mirnovo: yes
Evidence support: Infernal|mirnovo
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR27j; acr-miR27d; asc-miR27g; bca-miR27j; bch-miR27j; bhi-miR27c; bpi-miR27g; cas-miR27b; cba-miR27b; cci-miR27f; cfe-miR27k; cit-miR27bk; cmd-miR27aq; cmi-miR27d; cof-miR27f; csp-miR27d; csu-miR27d; epr-miR27d; fmu-miR27e; gel-miR27e; hcr-miR27aq; kga-miR27d; lba-miR27b; lgr-miR27b; ljc-miR27b; lji-miR27b; ljp-miR27f; nnu-miR27c; nte-miR27c; pfr-miR27c; poe-miR27as; ppr-miR27g; sar-miR27d; sca-miR27b; sdf-miR27e; sgi-miR27f; sln-miR27b; sor-miR27bi; tch-miR27f; tki-miR27e; vph-miR27f; zof-miR27h;

Rfam Alignments

>> mir-27  microRNA mir-27
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0013   20.4   0.0  cm       56       75 ~~           1          20 + ~~ 1.00 5'&3' 0.45
                                                                 ?????  ???????????        NC
                                                           ~~~~~~>>>>>-->>>>>>>>>>>::~~~~~ CS
                                                 mir-27  1 <[55]*uUCACAGuGGCUAAGuuCuG*[8]> 83
                                                                 UUCACAGUGGCUAAGUUCUG
                                             zof-miR27h  1 <[ 0]*UUCACAGUGGCUAAGUUCUG*[0]> 20
                                                           ......********************..... PP

Targets

Predicted by TargetFinder

NM_001002266 ;   NM_001005291 ;   NM_001079524 ;   NM_001079525 ;   NM_001128431 ;   NM_001131019 ;   NM_001134337 ;   NM_001134338 ;   NM_001135153 ;   NM_001242376 ;   NM_001278196 ;   NM_001282866 ;   NM_001321096 ;   NM_001321749 ;   NM_001349105 ;   NM_001349106 ;   NM_001349107 ;   NM_001349108 ;   NM_001349111 ;   NM_001351655 ;   NM_001351657 ;   NM_001351658 ;   NM_001351659 ;   NM_001351660 ;   NM_001363846 ;   NM_001365999 ;   NM_001367971 ;   NM_001367972 ;   NM_002055 ;   NM_002241 ;   NM_003566 ;   NM_004176 ;   NM_004282 ;   NM_004370 ;   NM_004466 ;   NM_006352 ;   NM_006452 ;   NM_007219 ;   NM_007364 ;   NM_015104 ;   NM_015284 ;   NM_015359 ;   NM_021916 ;   NM_022055 ;   NM_080645 ;   NM_080677 ;   NM_145021 ;   NM_152996 ;   NM_205768 ;   NR_104614 ;   NR_104615 ;   NR_104664 ;   NR_110744 ;   NR_125394 ;   NR_146056 ;   NR_164112 ;  

Predicted by TAPIR

NM_001002266 ;   NM_001005291 ;   NM_001128431 ;   NM_001131019 ;   NM_001134337 ;   NM_001134338 ;   NM_001142568 ;   NM_001242376 ;   NM_001276286 ;   NM_001278196 ;   NM_001278631 ;   NM_001282866 ;   NM_001318751 ;   NM_001318752 ;   NM_001318753 ;   NM_001318754 ;   NM_001321096 ;   NM_001321749 ;   NM_001328637 ;   NM_001351655 ;   NM_001351656 ;   NM_001351657 ;   NM_001351658 ;   NM_001351659 ;   NM_001351660 ;   NM_001363846 ;   NM_001367971 ;   NM_001367972 ;   NM_001999 ;   NM_002010 ;   NM_002055 ;   NM_002241 ;   NM_004176 ;   NM_004370 ;   NM_005828 ;   NM_006352 ;   NM_007219 ;   NM_007364 ;   NM_015359 ;   NM_020235 ;   NM_020423 ;   NM_021916 ;   NM_030648 ;   NM_030820 ;   NM_080645 ;   NM_080677 ;   NM_178527 ;   NM_182973 ;   NM_205768 ;   NR_003503 ;   NR_033879 ;   NR_125394 ;   NR_134849 ;   NR_134850 ;   NR_134851 ;   NR_164112 ;