Evidence map›Paper›PMID 24717361›Full record

ReviewRNA biology2014

Macros in microRNA target identification: a comparative analysis of in silico, in vitro, and in vivo approaches to microRNA target identification.

Shikha Tarang, Michael D Weston

Open access · bronzeAbstract readReview
In one paragraph

Review in RNA biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. The Expression Patterns ofJournal of clinical medicine · 2020
    Article
  7. Review
  8. Article
  9. Deficiency of MicroRNA miR-1954 Promotes Cardiac Remodeling and Fibrosis.Journal of the American Heart Association · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. MicroRNA-130a, a Potential Antifibrotic Target in Cardiac Fibrosis.Journal of the American Heart Association · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. MicroRNA target prediction: theory and practice.Molecular genetics and genomics : MGG · 2014
    Article
  18. Review
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

2 authors at 1 institution in 1 country.

Shikha TarangDepartment of Oral Biology; Creighton University School of Dentistry; Omaha, NE USA.
Michael D WestonDepartment of Oral Biology; Creighton University School of Dentistry; Omaha, NE USA.
Creighton University · US

Funding

TRANSGENIC EXPRESSION ANALYSIS OF MIRNA-144P20RR018788 · NCRR · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WESTON, MICHAEL D · 2003 to 2011
$16.5M
The Molecular Biology of Neurosurgery SystemsP20GM103471 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SMITH, SHELLEY D · 2012 to 2013
$4.1M
NCRR NIH HHS 5P20RR018788NCRR NIH HHS P20 RR018788NIGMS NIH HHS 8P20GM103471NIGMS NIH HHS P20 GM103471
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are short RNA molecules that modulate post-transcriptional gene expression by partial or incomplete base-pairing to the complementary sequences on their target genes. Sequence-based miRNA target gene recognition enables the utilization of computational methods, which are highly informative in identifying a subset of putative miRNA targets from the genome. Subsequently, single miRNA-target gene binding is evaluated experimentally by in vitro assays to validate and quantify the transcriptional or post-transcriptional effects of miRNA-target gene interaction. Although ex vivo approaches are instructive in providing a basis for further analyses, in vivo genetic studies are critical to determine the occurrence and biological relevance of miRNA targets under physiological conditions. In the present review, we summarize the important features of each of the experimental approaches, their technical and biological limitations, and future challenges in light of the complexity of miRNA target gene recognition.

Indexed as

RNA InterferenceAlgorithmsAnimalsBase PairingBinding SitesComputational BiologyGene Expression RegulationHumansIn Vitro TechniquesMicroRNAsRNA, MessengerSoftwareMicroRNAsRNA, Messengerbase-pairingcomputational approachesgenetic studiesin vitroin vivomicroRNAspost-transcriptionaltarget recognition

Identifiers

PMID24717361
PMCPMC4075517
OpenAlexW2080964325

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.