Evidence map›Paper›PMID 24658841›Full record

ArticlePlant cell reports2014

Differential expression of microRNAs in dormant bud of tea [Camellia sinensis (L.) O. Kuntze].

Anburaj Jeyaraj, Viswanathan Chandran, Prabu Gajjeraman

Abstract read
PubMed Publisher
In one paragraph

Article in Plant cell reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. New insights into tomato microRNAs.Scientific reports · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anburaj Jeyaraj
Viswanathan Chandran
Prabu Gajjeraman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageExpression analysis of miRNAs and understanding their target genes function in dormant tea bud might be used to identify molecular network panel and novel approaches for modulating dormancy in tea. Tea [Camellia sinensis (L) O. Kuntze, Theaceae] is an important commercial beverage crop manufactured from the apical bud and two leaves immediately below the bud. The yield and quality of tea depend on the vegetative growth of shoots and bud dormancy. The dormancy of bud is being regulated by many factors, such as mechanical, environmental and molecular mechanisms. MicroRNAs (miRNAs) are a newly identified class of small non-protein coding regulatory RNAs in both plants and animals which regulates gene expression at post-transcriptional level either by cleavage or translational inhibition of targeted mRNA transcripts. With these importances, the expression pattern of tea miRNAs was analyzed in active and dormant bud using stem-loop pulse RT-qPCR method. The results demonstrated the following expression pattern for highly up-regulated miRNAs, cs-miR 414[csmiR 408[cs-miR782[cs-miR169, and down-regulated miRNAs, cs-miR828[cs-miR1864[cs-miR852[csmiR1425 in dormant bud of tea. Furthermore, the role of target transcripts regulated by these miRNAs in relation to bud dormancy was discussed in detail. Therefore, the present study on the miRNA expression in tea will provide basis and considerably broaden the scope of understanding the function of miRNAs within the bud tissues and can serve as an initial point for RNA interference-based controlling strategies of bud dormancy in tea.

Indexed as

Gene Expression Regulation, PlantCamellia sinensisMicroRNAsPlant LeavesMicroRNAs

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.