Evidence map›Paper›PMID 20553585›Full record

ArticleBMC molecular biology2010

New miRNA labeling method for bead-based quantification.

Alberto Biscontin, Silvia Casara, Stefano Cagnin, Lucia Tombolan, Angelo Rosolen, Gerolamo Lanfranchi, Cristiano De Pittà

Open access · hybridAbstract read
In one paragraph

Article in BMC molecular biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

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  4. Single-Cell RNAseq Analysis of lncRNAs.Methods in molecular biology (Clifton, N.J.) · 2021
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  6. Review
  7. Review
  8. Urinary microRNA in kidney disease: utility and roles.American journal of physiology. Renal physiology · 2019
    Review
  9. Article
  10. Review
  11. Article
  12. MicroRNA-27a directly targetsOncology letters · 2015
    Article
  13. Article
  14. 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

7 authors at 1 institution in 1 country.

Alberto BiscontinDepartment of Biology and CRIBI Biotechnology Centre, Università degli Studi di Padova, Via U. Bassi, 58/B, 35121 Padova, Italy.
Silvia Casara
Stefano Cagnin
Lucia Tombolan
Angelo Rosolen
Gerolamo Lanfranchi
Cristiano De Pittà
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmicroRNAs (miRNAs) are small single-stranded non-coding RNAs that act as crucial regulators of gene expression. Different methods have been developed for miRNA expression profiling in order to better understand gene regulation in normal and pathological conditions. miRNAs expression values obtained from large scale methodologies such as microarrays still need a validation step with alternative technologies.

resultsHere we have applied with an innovative approach, the Luminex xMAP technology validate expression data of differentially expressed miRNAs obtained from high throughput arrays. We have developed a novel labeling system of small RNA molecules (below 200 nt), optimizing the sensitive cloning method for miRNAs, termed miRNA amplification profiling (mRAP). The Luminex expression patterns of three miRNAs (miR-23a, miR-27a and miR-199a) in seven different cell lines have been validated by TaqMan miRNA assay. In all cases, bead-based meas were confirmed by the data obtained by TaqMan and microarray technologies.

conclusionsWe demonstrate that the measure of individual miRNA by the bead-based method is feasible, high speed, sensitive and low cost. The Luminex xMAP technology also provides flexibility, since the central reaction can be scaled up with additional miRNA capturing beads, allowing validation of many differentially expressed miRNAs obtained from microarrays in a single experiment. We propose this technology as an alternative method to qRT-PCR for validating miRNAs expression data obtained with high-throughput technologies.

Indexed as

Oligonucleotide Array Sequence AnalysisOligonucleotide ProbesCell Line, TumorFluorescent DyesHigh-Throughput Screening AssaysHumansMicroRNAsFluorescent DyesMicroRNAsOligonucleotide Probes

Identifiers

PMID20553585
PMCPMC2900262
OpenAlexW2084076575

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.