Evidence map›Paper›PMID 36241713›Full record

ArticleScientific reports2022

Rapid and accurate quantification of isomiRs by RT-qPCR.

Sandra Franco, Raquel Pluvinet, Jose Francisco Sanchez-Herrero, Lauro Sumoy, Miguel Angel Martinez

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. IsomiR stoichiometry changes as disease biomarkers.Molecular therapy. Nucleic acids · 2025
    Article
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  3. Review
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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

5 authors.

Sandra FrancoIrsiCaixa, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona (UAB), 08916, Badalona, Spain.
Raquel PluvinetInstitut Germans Trias i Pujol (IGTP), Badalona, Spain.
Jose Francisco Sanchez-HerreroInstitut Germans Trias i Pujol (IGTP), Badalona, Spain.
Lauro SumoyInstitut Germans Trias i Pujol (IGTP), Badalona, Spain.
Miguel Angel MartinezIrsiCaixa, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona (UAB), 08916, Badalona, Spain. mmartinez@irsicaixa.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, microRNAs (miRs) are annotated as a single defined sequence (canonical), even though high-throughput small RNA sequencing has identified miR isoforms (isomiRs) that differ from their canonical counterparts in length, sequence, or both. Here we describe a simple reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR)-based assay for quantification of the miR-100-5p_iso_3p:-2 variant. We chose miR-100-5p because the canonical sequence was underrepresented in our evaluation of human plasma. The quantification of miR-100-5p_iso_3 p:-2 from 57 plasma samples demonstrated high concordance between high-throughput RNA sequencing and RT-qPCR results (r = 0.55, p < 0.0001). Of note, we could not detect or quantify miR-100-5p in our plasma samples using a commercial TaqMan canonical miR-100-5p RT-qPCR kit. With these 57 samples, we also adapted this assay to specifically quantify the canonical sequences of miR-122-5p and miR-192-5p. Similar to the results obtained with miR-100-5p_iso_3p:-2, RT-qPCR results for miR-122-5p and miR-192-5p highly correlated with high-throughput RNA sequencing data (miR-122-5p: r = 0.44, p = 0.0005; miR-192-5p: r = 0.72, p < 0.0001). The assay described here can be easily adapted to many different identified isomiRs. Because of the high specificity of isomiRs, their reliable RT-qPCR-based quantification could provide greater resolution and higher accuracy than using canonical sequences.

Indexed as

MicroRNAsHigh-Throughput Nucleotide SequencingHumansProtein IsoformsReal-Time Polymerase Chain ReactionRNA-Directed DNA PolymeraseMicroRNAsProtein IsoformsRNA-Directed DNA Polymerase

Identifiers

PMID36241713
PMCPMC9568571

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Registered trials

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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.