The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR396
  5. acr-miR396

Accession: B01736483

Entry

ID: acr-miR396
Alias: F826.K000022.A3D*
Sequence: UUCCACAGCUUUCUUGAACU
Description: MIR396 putative
Species: 乌头  Species latin name: Aconitum carmichaelii
TCM Name: Chuanwu(川乌)   Zhichuanwu(制川乌)   Fuzi(附子)  
TCM Resource (Sample number): 川乌(1) 制川乌(1)
Predicted by Mirnovo: -
Evidence support: Mirbase|infernal
Experimental status: Not yet

Homologs

miRBase Homologs

vca-miR396-5p; vvi-miR396b;

Bencao Homologs

Bjl-miR396g; Bsr-miR396e; Bswzz-miR396; aan-miR396f; aar-miR396c; abi-miR396; acn-miR396b; aco-miR396b; acr-miR396; acs-miR396; ade-miR396b; aeu-miR396b; aha-miR396a; aju-miR396; aox-miR396a; apa-miR396d; apl-miR396d; aqi-miR396; asc-miR396d; att-miR396c; ave-miR396d; bca-miR396g; bhi-miR396b; bja-miR396b; bmj-miR396e; bpi-miR396d; car-miR396e; cas-miR396d; cci-miR396c; cco-miR396d; ccs-miR396c; cde-miR396b; cfe-miR396c; cga-miR396; che-miR396; cid-miR396d; cit-miR396b; cja-miR396e; clo-miR396; cmd-miR396e; cmi-miR396f; cmj-miR396c; cmo-miR396g; cof-miR396f; cor-miR396b; cpe-miR396b; cpn-miR396; cso-miR396f; csp-miR396g; csu-miR396b; das-miR396; dlo-miR396; dst-miR396f; dsu-miR396; ehu-miR396d; eja-miR396c; epr-miR396g; esc-miR396d; est-miR396e; fmu-miR396c; fsu-miR396e; fth-miR396; gbi-miR396h; gja-miR396c; gma-miR396c; gmc-miR396e; gpe-miR396g; gsi-miR396d; gur-miR396b; hcr-miR396f; hmu-miR396c; hoc-miR396b; hof-miR396c; iba-miR396b; ija-miR396e; ili-miR396f; kga-miR396; lch-miR396; lcr-miR396c; lfo-miR396h; lji-miR396b; ljn-miR396d; ljp-miR396c; llc-miR396c; lln-miR396d; llu-miR396c; lpu-miR396; mal-miR396d; mca-miR396e; mch-miR396b; mpu-miR396b; nca-miR396b; nja-miR396d; nnu-miR396i; nsc-miR396b; nte-miR396d; ofi-miR396; pas-miR396a; pav-miR396f; pca-miR396b; pch-miR396; pci-miR396; pcl-miR396c; pcn-miR396c; pfr-miR396f; pla-miR396b; pmu-miR396b; poe-miR396c; por-miR396i; ppr-miR396d; psu-miR396d; ptn-miR396; pvl-miR396g; rcd-miR396b; rch-miR396d; rcr-miR396e; rja-miR396d; run-miR396; sad-miR396b; sar-miR396c; sba-miR396f; sbc-miR396d; sca-miR396; sch-miR396d; sdf-miR396b; sgi-miR396; sgl-miR396d; sjp-miR396b; sln-miR396b; smi-miR396f; sor-miR396c; spo-miR396b; ssa-miR396c; sse-miR396c; ssu-miR396d; sto-miR396c; tch-miR396; tci-miR396c; tfa-miR396c; tja-miR396b; tmo-miR396e; tru-miR396; twi-miR396c; vof-miR396c; vph-miR396c; vtr-miR396;

Rfam Alignments

>> MIR396  microRNA MIR396
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0069   19.6   0.0  cm       11       30 ~~           1          20 + ~~ 1.00 5'&3' 0.40
                                                               ??? ?????? ???? ??       NC
                                                       ~~~~~~--<<<-<<<<<<-<<<<-<<~~~~~~ CS
                                             MIR396  1 <[10]*UUCCACgGCUUUCUUGAACU*[88]> 118
                                                             UUCCAC GCUUUCUUGAACU
                                         vtr-miR396  1 <[ 0]*UUCCACAGCUUUCUUGAACU*[ 0]> 20
                                                       ......********************...... PP

Targets

Predicted by TargetFinder

NM_001004464 ;   NM_001098398 ;   NM_001098721 ;   NM_001098722 ;   NM_001135669 ;   NM_001142929 ;   NM_001142933 ;   NM_001142934 ;   NM_001184976 ;   NM_001198542 ;   NM_001198543 ;   NM_001270 ;   NM_001270974 ;   NM_001271562 ;   NM_001278625 ;   NM_001278626 ;   NM_001278627 ;   NM_001278628 ;   NM_001321226 ;   NM_001321231 ;   NM_001324423 ;   NM_001347701 ;   NM_001347702 ;   NM_001364113 ;   NM_001364567 ;   NM_001364568 ;   NM_001364569 ;   NM_001364570 ;   NM_001364571 ;   NM_001364572 ;   NM_001364573 ;   NM_001370465 ;   NM_001515 ;   NM_002646 ;   NM_004371 ;   NM_004405 ;   NM_004485 ;   NM_004664 ;   NM_004736 ;   NM_005337 ;   NM_005502 ;   NM_006948 ;   NM_007118 ;   NM_007204 ;   NM_015114 ;   NM_015286 ;   NM_016052 ;   NM_016652 ;   NM_017558 ;   NM_018230 ;   NM_020549 ;   NM_020984 ;   NM_020985 ;   NM_020986 ;   NM_022161 ;   NM_022739 ;   NM_032431 ;   NM_033071 ;   NM_139317 ;   NM_145728 ;   NM_152726 ;   NM_172230 ;   NM_182961 ;   NM_198976 ;   NM_199131 ;   NR_033417 ;   NR_040013 ;   NR_073177 ;   NR_073430 ;   NR_134469 ;   NR_134515 ;   NR_136887 ;   NR_136888 ;   NR_137330 ;   NR_157078 ;   NR_157079 ;  

Predicted by TAPIR

NM_001001556 ;   NM_001004308 ;   NM_001042459 ;   NM_001076 ;   NM_001142929 ;   NM_001142933 ;   NM_001142934 ;   NM_001170690 ;   NM_001198542 ;   NM_001198543 ;   NM_001270974 ;   NM_001271562 ;   NM_001286230 ;   NM_001287491 ;   NM_001289030 ;   NM_001321226 ;   NM_001321231 ;   NM_001330199 ;   NM_001347701 ;   NM_001347702 ;   NM_001364567 ;   NM_001364568 ;   NM_001364569 ;   NM_001364570 ;   NM_001364571 ;   NM_001364572 ;   NM_001364573 ;   NM_001366022 ;   NM_001367977 ;   NM_001370465 ;   NM_001515 ;   NM_002044 ;   NM_002568 ;   NM_006948 ;   NM_007204 ;   NM_015114 ;   NM_015286 ;   NM_016052 ;   NM_016448 ;   NM_017558 ;   NM_020549 ;   NM_020974 ;   NM_020984 ;   NM_020985 ;   NM_020986 ;   NM_022739 ;   NM_030940 ;   NM_033071 ;   NM_145728 ;   NM_182909 ;   NM_182961 ;   NM_197954 ;   NM_198976 ;   NM_199131 ;   NR_033417 ;   NR_040013 ;   NR_073430 ;   NR_134515 ;   NR_147895 ;