Evidence map›Paper›PMID 28979287›Full record

ArticleFrontiers in plant science2017

An Optimized Transient Dual Luciferase Assay for Quantifying MicroRNA Directed Repression of Targeted Sequences.

Richard L Moyle, Lilia C Carvalhais, Lara-Simone Pretorius, Ekaterina Nowak, Gayathery Subramaniam, Jessica Dalton-Morgan, Peer M Schenk

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.6field-weighted citation impact, top 4% of its field
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

17 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. TheGenes · 2026
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  9. Functional Analysis of Bna-miR399c-Life (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. The Role ofInternational journal of molecular sciences · 2019
    Article
  16. Article
  17. 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

7 authors at 2 institutions in 1 country.

Richard L MoyleNexgen Plants Pty Ltd., School of Agriculture and Food Sciences, University of Queensland, BrisbaneQLD, Australia.
Lilia C CarvalhaisNexgen Plants Pty Ltd., School of Agriculture and Food Sciences, University of Queensland, BrisbaneQLD, Australia.
Lara-Simone PretoriusNexgen Plants Pty Ltd., School of Agriculture and Food Sciences, University of Queensland, BrisbaneQLD, Australia.
Ekaterina NowakNexgen Plants Pty Ltd., School of Agriculture and Food Sciences, University of Queensland, BrisbaneQLD, Australia.
Gayathery SubramaniamNexgen Plants Pty Ltd., School of Agriculture and Food Sciences, University of Queensland, BrisbaneQLD, Australia.
Jessica Dalton-MorganNexgen Plants Pty Ltd., School of Agriculture and Food Sciences, University of Queensland, BrisbaneQLD, Australia.
Peer M SchenkNexgen Plants Pty Ltd., School of Agriculture and Food Sciences, University of Queensland, BrisbaneQLD, Australia.
Agriculture and Food · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies investigating the action of small RNAs on computationally predicted target genes require some form of experimental validation. Classical molecular methods of validating microRNA action on target genes are laborious, while approaches that tag predicted target sequences to qualitative reporter genes encounter technical limitations. The aim of this study was to address the challenge of experimentally validating large numbers of computationally predicted microRNA-target transcript interactions using an optimized, quantitative, cost-effective, and scalable approach. The presented method combines transient expression via agroinfiltration of

Indexed as

dual luciferase assaymicroRNA predictionmiR529bOsSPL14SBP-box family genestarget recognition

Identifiers

PMID28979287
PMCPMC5611435
OpenAlexW2756423356

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.