Evidence map›Paper›PMID 31989576›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2020

FREMSA: A Method That Provides Direct Evidence of the Interaction between microRNA and mRNA.

Dianke Yu, Si Chen, Dongying Li, Bridgett Knox, Lei Guo, Baitang Ning

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. miR-15a-3p Protects Against Isoniazid-Induced Liver InjuryFrontiers in molecular biosciences · 2021
    Article
  8. Article
  9. 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

6 authors.

Dianke YuNational Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA. dianke.yu@qdu.edu.cn.
Si ChenNational Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.
Dongying LiNational Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.
Bridgett KnoxNational Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.
Lei GuoNational Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.
Baitang NingNational Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

microRNAs (miRNAs) modulate the expression of enzymes responsible for activation or detoxification of xenobiotics and toxicants. miRNAs are dysregulated in response to environmental exposure and have been implicated in toxicological events. Many in vivo and in vitro experimental approaches have been employed to delineate the mechanisms by which miRNAs regulate target genes; however, all these methods provide only indirect evidence for the interaction between miRNAs and their counterpart mRNA molecules. In this chapter, we describe a novel approach-a fluorescent-based RNA electrophoretic mobility shift assay (FREMSA) that is a sensitive and time-saving method, with a high specificity, to visualize the interactions among miRNAs, mRNAs, and proteins, as direct evidence of mRNA/miRNA complex formation.

Indexed as

Cell LineElectrophoresis, Polyacrylamide GelElectrophoretic Mobility Shift AssayFluorescenceHumansMicroRNAsOligonucleotidesRNA, MessengerWorkflowMicroRNAsOligonucleotidesRNA, MessengerFluorescent-based RNA electrophoretic mobility shift assaymiRNA–RNA interactionmiRNA target prediction

Identifiers

PMID31989576
PMCPMC7774822

What OpenQuestion holds

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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.