Evidence map›Paper›PMID 21702990›Full record

ArticleBMC biotechnology2011

Specific and sensitive quantitative RT-PCR of miRNAs with DNA primers.

Ingrid Balcells, Susanna Cirera, Peter K Busk

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

153 citing papers in PubMed, 1 synthesis or guideline pooled it, 303 citations in OpenAlex.

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  19. An Overview of miRNA and miRNA Target Analysis Tools.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
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93 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Ingrid BalcellsDepartament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
Susanna Cirera
Peter K Busk
Aalborg University · DKUniversitat Autònoma de Barcelona · ESUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs are important regulators of gene expression at the post-transcriptional level and play an important role in many biological processes. Due to the important biological role it is of great interest to quantitatively determine their expression level in different biological settings.

resultsWe describe a PCR method for quantification of microRNAs based on a single reverse transcription reaction for all microRNAs combined with real-time PCR with two, microRNA-specific DNA primers. Primer annealing temperatures were optimized by adding a DNA tail to the primers and could be designed with a success rate of 94%. The method was able to quantify synthetic templates over eight orders of magnitude and readily discriminated between microRNAs with single nucleotide differences. Importantly, PCR with DNA primers yielded significantly higher amplification efficiencies of biological samples than a similar method based on locked nucleic acids-spiked primers, which is in agreement with the observation that locked nucleic acid interferes with efficient amplification of short templates. The higher amplification efficiency of DNA primers translates into higher sensitivity and precision in microRNA quantification.

conclusionsMiR-specific quantitative RT-PCR with DNA primers is a highly specific, sensitive and accurate method for microRNA quantification.

Indexed as

DNA PrimersMicroRNAsReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificityTemperatureDNA PrimersMicroRNAs

Identifiers

PMID21702990
PMCPMC3135530
OpenAlexW2112543725

What OpenQuestion holds

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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.