The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. sRNA Atlas
  4. F27
  5. B09259329

Accession: B09259329

Entry

ID: -
Alias: F27.I000013.A25
Sequence: CGAUGAAGAACGUAGCAA
Description: 5_8S_rRNA 5.8S ribosomal RNA
Species: 罗布麻  Species latin name: Apocynum venetum
TCM Names: Luobumaye(罗布麻叶)  
TCM Resource (Sample number): 罗布麻叶(1)
Evidence support:
Experimental status: Not yet
Database: sRNA Atlas

Homologs

miRBase Homologs

None

Bencao Homologs

B00001827; B00187849; B02017778; B05724533; B06111412; B07550365; B08154774; B08817107; B09259329; B12288117; B12607763; B15172676; B15881208; B16178615; B16386045; B16710917; B19815010; B20779462; B21165689; B23233496; B25724365; B27123413; B27695200; B28381005; B29463712; B31002636; B34370584; B34589286; B34888631; B37480117; B37821899; B38064081; B48111910; B49853416; B50372291; B51137056; B54899172; B55204972; B55641428; B56143090; B56854336; B57318655; B57805795; B60023729; B60771141; B61672048; B62600430; B63918651; B66525079; B66818188; B67181604; B68538002; B68928982; B70302361;

Rfam Alignments

>> 5_8S_rRNA  5.8S ribosomal RNA
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) ?     0.048   10.9   0.0  cm       34       51 ~~           1          18 + ~~ 1.00 5'&3' 0.44
                                                                   ????????            NC
                                                       ~~~~~~::::::((((<<<<____~~~~~~~ CS
                                          5_8S_rRNA  1 <[33]*CGAUGAAgaaCGCaGCaA*[103]> 154
                                                             CGAUGAAGAACG AGCAA
                                    F27.I000013.A25  1 <[ 0]*CGAUGAAGAACGUAGCAA*[  0]> 18
                                                       ......******************....... PP

Targets

Predicted by TargetFinder

NM_000765 ;   NM_001011547 ;   NM_001040703 ;   NM_001067 ;   NM_001077195 ;   NM_001134778 ;   NM_001135181 ;   NM_001143948 ;   NM_001145853 ;   NM_001168499 ;   NM_001199198 ;   NM_001256497 ;   NM_001256910 ;   NM_001282925 ;   NM_001282926 ;   NM_001282927 ;   NM_001282932 ;   NM_001283034 ;   NM_001286429 ;   NM_001286638 ;   NM_001300741 ;   NM_001304550 ;   NM_001318786 ;   NM_001318788 ;   NM_001318794 ;   NM_001318797 ;   NM_001318802 ;   NM_001330059 ;   NM_001330782 ;   NM_001346143 ;   NM_001346144 ;   NM_001346146 ;   NM_001351527 ;   NM_001351528 ;   NM_001351622 ;   NM_001354682 ;   NM_001354684 ;   NM_001354685 ;   NM_001354686 ;   NM_001367482 ;   NM_001370248 ;   NM_001370249 ;   NM_001370250 ;   NM_001370254 ;   NM_001370652 ;   NM_001861 ;   NM_004728 ;   NM_005161 ;   NM_005759 ;   NM_006005 ;   NM_006195 ;   NM_006977 ;   NM_013231 ;   NM_015046 ;   NM_017736 ;   NM_018235 ;   NM_018309 ;   NM_024817 ;   NM_030634 ;   NM_031438 ;   NM_032744 ;   NM_052845 ;   NM_145269 ;   NM_152250 ;   NM_153251 ;   NR_024122 ;   NR_024123 ;   NR_027991 ;   NR_038118 ;   NR_038891 ;   NR_104267 ;   NR_104268 ;   NR_104486 ;   NR_104487 ;   NR_110556 ;   NR_110557 ;   NR_131926 ;   NR_135065 ;   NR_156451 ;   NR_156452 ;   NR_156453 ;   NR_161294 ;  

Predicted by TAPIR