The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR24
  5. zof-miR24a

Accession: B70850364

Entry

ID: zof-miR24a
Alias: F2534.K000359.A25*
Sequence: UGGCUCAGUUCAGCAGGAAC
Description: mir-24 microRNA precursor family predicted,partially
Species: 姜  Species latin name: Zingiber officinale
TCM Name: Ganjiang(干姜)   Paojiang(炮姜)   Shengjiang(生姜)  
TCM Resource (Sample number): 干姜(1) 炮姜(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR24c; acr-miR24a; asc-miR24b; bca-miR24a; bch-miR24c; bhi-miR24a; bpi-miR24a; cba-miR24; cci-miR24a; cfe-miR24b; cit-miR24ai; cmd-miR24d; cmo-miR24; cof-miR24a; csp-miR24a; eja-miR24; esn-miR24a; fmu-miR24b; hcr-miR24e; kga-miR24a; lba-miR24a; ljp-miR24a; llu-miR24a; nnu-miR24a; nte-miR24a; pfr-miR24a; poe-miR24e; ppr-miR24a; sar-miR24a; sdf-miR24a; sgi-miR24a; sor-miR24ag; tch-miR24a; tfa-miR24a; tki-miR24a; vph-miR24d; zof-miR24a;

Rfam Alignments

>> mir-24  mir-24 microRNA precursor family
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0004   21.3   0.0  cm       44       63 ~~           1          20 + ~~ 1.00 5'&3' 0.55
                                                                  ????????? ???         NC
                                                        ~~~~~~____>>>>>>>>>->>>---~~~~~ CS
                                              mir-24  1 <[43]*UGGCUCAGuUCAGCAGGAAC*[5]> 68
                                                              UGGCUCAGUUCAGCAGGAAC
                                          zof-miR24a  1 <[ 0]*UGGCUCAGUUCAGCAGGAAC*[0]> 20
                                                        ......********************..... PP

Targets

Predicted by TargetFinder

NM_001078175 ;   NM_001078177 ;   NM_001144026 ;   NM_001144027 ;   NM_001144028 ;   NM_001164507 ;   NM_001164508 ;   NM_001199563 ;   NM_001256071 ;   NM_001271208 ;   NM_001281834 ;   NM_001281835 ;   NM_001281836 ;   NM_001281837 ;   NM_001281838 ;   NM_001281853 ;   NM_001284511 ;   NM_001284512 ;   NM_001304462 ;   NM_001304465 ;   NM_001304466 ;   NM_001307940 ;   NM_001321784 ;   NM_001322117 ;   NM_001322118 ;   NM_001322119 ;   NM_001324118 ;   NM_001372327 ;   NM_002862 ;   NM_004543 ;   NM_007073 ;   NM_014434 ;   NM_014611 ;   NM_024921 ;   NM_080706 ;   NM_145278 ;   NM_147147 ;   NM_152341 ;   NR_023921 ;   NR_023922 ;   NR_023923 ;   NR_023924 ;   NR_036109 ;   NR_110427 ;   NR_134503 ;   NR_148046 ;   NR_157588 ;   NR_161198 ;   NR_161199 ;  

Predicted by TAPIR

NM_001005180 ;   NM_001039083 ;   NM_001103154 ;   NM_001113738 ;   NM_001178137 ;   NM_001199563 ;   NM_001288811 ;   NM_001288812 ;   NM_001288813 ;   NM_001303 ;   NM_001307940 ;   NM_001322117 ;   NM_001322118 ;   NM_001322119 ;   NM_001330240 ;   NM_001330244 ;   NM_001352769 ;   NM_001363805 ;   NM_001370356 ;   NM_001370357 ;   NM_001370358 ;   NM_001370359 ;   NM_001370361 ;   NM_001370364 ;   NM_001370366 ;   NM_002862 ;   NM_007073 ;   NM_014611 ;   NM_014912 ;   NM_016632 ;   NM_019112 ;   NM_022370 ;   NM_024690 ;   NM_024921 ;   NM_030939 ;   NM_147147 ;   NR_023921 ;   NR_023922 ;   NR_023923 ;   NR_023924 ;   NR_036109 ;   NR_148046 ;   NR_157588 ;   NR_158224 ;   NR_163410 ;   NR_163411 ;   NR_163412 ;   NR_163414 ;