Evidence map›Paper›PMID 28798363›Full record

ArticleScientific reports2017

Defining quantification methods and optimizing protocols for microarray hybridization of circulating microRNAs.

Anna Garcia-Elias, Leonor Alloza, Eulàlia Puigdecanet, Lara Nonell, Marta Tajes, Joao Curado, Cristina Enjuanes, Oscar Díaz, Jordi Bruguera, Julio Martí-Almor and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  8. Guidelines for mitochondrial RNA analysis.Molecular therapy. Nucleic acids · 2024
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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

12 authors at 2 institutions in 1 country.

Anna Garcia-EliasGroup of Biomedical Research in Heart Diseases, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain. agarciaelias@imim.es.ORCID 0000-0002-6609-6119
Leonor AllozaMicroarray Analysis Service, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Eulàlia PuigdecanetMicroarray Analysis Service, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Lara NonellMicroarray Analysis Service, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Marta TajesGroup of Biomedical Research in Heart Diseases, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Joao CuradoGroup of Biomedical Research in Heart Diseases, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Cristina EnjuanesGroup of Biomedical Research in Heart Diseases, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Oscar DíazCardiovascular Risk and Nutrition Group, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Jordi BrugueraGroup of Biomedical Research in Heart Diseases, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Julio Martí-AlmorGroup of Biomedical Research in Heart Diseases, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Josep Comín-ColetGroup of Biomedical Research in Heart Diseases, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Begoña BenitoGroup of Biomedical Research in Heart Diseases, IMIM (Hospital del Mar Medical Research Institute), C/Doctor Aiguader 88, 08003, Barcelona, Spain.
Hospital Del Mar · ESUniversitat Pompeu Fabra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) have emerged as promising biomarkers of disease. Their potential use in clinical practice requires standardized protocols with very low miRNA concentrations, particularly in plasma samples. Here we tested the most appropriate method for miRNA quantification and validated the performance of a hybridization platform using lower amounts of starting RNA. miRNAs isolated from human plasma and from a reference sample were quantified using four platforms and profiled with hybridization arrays and RNA sequencing (RNA-seq). Our results indicate that the Infinite

Indexed as

Circulating MicroRNAGene Expression ProfilingNucleic Acid HybridizationBiomarkersComputational BiologyHumansReproducibility of ResultsTranscriptomeBiomarkersCirculating MicroRNA

Identifiers

PMID28798363
PMCPMC5552704
OpenAlexW2744391314

What OpenQuestion holds

Textmetadata
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.