Evidence map›Paper›PMID 24396509›Full record

ReviewTheranostics2013

In vivo monitoring of microRNA biogenesis using reporter gene imaging.

So Won Oh, Do Won Hwang, Dong Soo Lee

Abstract readReview
In one paragraph

Review in Theranostics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. MicroRNA Targeting.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. MRI Reporter Genes for Noninvasive Molecular Imaging.Molecules (Basel, Switzerland) · 2016
    Review
  12. Article
  13. Article
  14. Article
  15. 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.

So Won Oh1. Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; ; 2. Department of Nuclear Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea;
Do Won Hwang1. Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; ; 3. Institute of Radiation Medicine, Medical Research Center, and.
Dong Soo Lee1. Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; ; 4. WCU, Department of Molecular Medicine and Biopharmaceutical Science, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are small noncoding RNAs regulating gene expression, through base paring with their target mRNAs, which have been actively investigated as key regulators in a wide range of biological processes. Conventional methods such as Northern blot are generally time-consuming, non-repeatable, and cannot be applied in vivo due to the requirement for cell fixation. Therefore, a noninvasive imaging system is required for the monitoring of microRNA biogenesis to understand the versatile functions of microRNAs in vivo as well as in vitro and to accelerate the clinical application of microRNA-based therapy. In this paper, we reviewed noninvasive molecular imaging systems for the monitoring of the biogenesis of microRNAs and post-transcriptional regulation of genes by microRNAs and the roles of microRNAs in various biological processes.

Indexed as

Genes, ReporterGene Expression ProfilingMicroRNAsMolecular ImagingMicroRNAsIn vivo optical imagingMicroRNA biogenesisMicroRNA imagingOptical reporter gene

Identifiers

PMID24396509
PMCPMC3881100

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.