The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR24
  5. Bjl-miR24d

Accession: B72037065

Entry

ID: Bjl-miR24d
Alias: F2534.K000421.A11*
Sequence: UGGCUCAGUUCAGCAGGAAU
Description: mir-24 microRNA precursor family predicted,partially
Species: 焦榔  Species latin name: -
TCM Name:
TCM Resource (Sample number): 焦榔(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

Bjl-miR24d; acr-miR24b; asc-miR24c; bca-miR24b; bch-miR24d; cit-miR24ak; cmd-miR24e; cof-miR24b; csp-miR24b; esn-miR24b; hcr-miR24f; ljp-miR24b; poe-miR24g; sch-miR24a; sdf-miR24b; sor-miR24ai; vph-miR24e; zof-miR24b;

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) !    0.0014   19.6   0.0  cm       44       62 ~.           1          19 + ~. 1.00    5' 0.53
                                   ????????? ???   NC
                         ~~~~~~____>>>>>>>>>->>>-- CS
               mir-24  9 <[35]*UGGCUCAGuUCAGCAGGAA 62
                               UGGCUCAGUUCAGCAGGAA
           zof-miR24b  1 <[ 0]*UGGCUCAGUUCAGCAGGAA 19
                         ......******************* PP

Targets

Predicted by TargetFinder

NM_000458 ;   NM_001033580 ;   NM_001077594 ;   NM_001163735 ;   NM_001165923 ;   NM_001198783 ;   NM_001198786 ;   NM_001202543 ;   NM_001243372 ;   NM_001243374 ;   NM_001281834 ;   NM_001281835 ;   NM_001281836 ;   NM_001281837 ;   NM_001281838 ;   NM_001281853 ;   NM_001304286 ;   NM_001322117 ;   NM_001322118 ;   NM_001322119 ;   NM_001365848 ;   NM_001365849 ;   NM_001829 ;   NM_002105 ;   NM_002697 ;   NM_002862 ;   NM_012139 ;   NM_014611 ;   NM_025109 ;   NM_080706 ;   NM_145278 ;   NM_173872 ;   NM_181552 ;   NR_036109 ;   NR_037163 ;   NR_104040 ;   NR_104041 ;   NR_132117 ;   NR_134503 ;   NR_148046 ;   NR_161198 ;   NR_161199 ;  

Predicted by TAPIR

NM_001005180 ;   NM_001033580 ;   NM_001100829 ;   NM_001163735 ;   NM_001198783 ;   NM_001198786 ;   NM_001199563 ;   NM_001283043 ;   NM_001283044 ;   NM_001303 ;   NM_001322117 ;   NM_001322118 ;   NM_001322119 ;   NM_001330075 ;   NM_001346243 ;   NM_001346245 ;   NM_001346246 ;   NM_001346247 ;   NM_001346248 ;   NM_001346249 ;   NM_001365848 ;   NM_001365849 ;   NM_001370356 ;   NM_001370357 ;   NM_001370358 ;   NM_001370359 ;   NM_001370361 ;   NM_001370364 ;   NM_001370366 ;   NM_002558 ;   NM_002697 ;   NM_002862 ;   NM_007073 ;   NM_012139 ;   NM_014990 ;   NM_022370 ;   NM_025109 ;   NM_032649 ;   NM_147147 ;   NM_194301 ;   NR_036109 ;   NR_037163 ;   NR_104040 ;   NR_104041 ;   NR_104269 ;   NR_148046 ;   NR_163410 ;   NR_163411 ;   NR_163412 ;   NR_163414 ;