Evidence map›Paper›PMID 32188466›Full record

ArticleJournal of translational medicine2020

Optimization of small RNA library preparation protocol from human urinary exosomes.

Dolores Olivares, Javier Perez-Hernandez, Daniel Perez-Gil, Felipe J Chaves, Josep Redon, Raquel Cortes

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  4. Isolating Astrocyte-Derived Extracellular Vesicles From Urine.International journal of nanomedicine · 2025
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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

6 authors at 5 institutions in 3 countries.

Dolores OlivaresCardiometabolic and Renal Risk Research Group, INCLIVA Biomedical Research Institute, Avd. Menéndez Pelayo, accesorio 4, 46010, Valencia, Spain.
Javier Perez-HernandezCardiometabolic and Renal Risk Research Group, INCLIVA Biomedical Research Institute, Avd. Menéndez Pelayo, accesorio 4, 46010, Valencia, Spain.
Daniel Perez-GilCardiometabolic and Renal Risk Research Group, INCLIVA Biomedical Research Institute, Avd. Menéndez Pelayo, accesorio 4, 46010, Valencia, Spain.
Felipe J ChavesGenomics and Diabetes Unit, INCLIVA Biomedical Research Institute, Avd. Menéndez Pelayo, accesorio 4, 46010, Valencia, Spain. felipe.chaves@uv.es.
Josep RedonCardiometabolic and Renal Risk Research Group, INCLIVA Biomedical Research Institute, Avd. Menéndez Pelayo, accesorio 4, 46010, Valencia, Spain.
Raquel CortesCardiometabolic and Renal Risk Research Group, INCLIVA Biomedical Research Institute, Avd. Menéndez Pelayo, accesorio 4, 46010, Valencia, Spain. Raquel.cortes@uv.es.ORCID 0000-0001-9607-997X
Genomics England · GBHospital Clínico Universitario de Valencia · ESINCLIVA Health Research Institute · ESInserm · FRInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSequencing of miRNAs isolated from exosomes has great potential to identify novel disease biomarkers, but exosomes have low amount of RNA, hindering adequate analysis and quantification. Here, we have assessed several steps in developing an optimized small RNA (sRNA) library preparation protocol for next-generation sequencing (NGS) miRNA analysis from urinary exosomes.

methodsA total of 24 urinary exosome samples from donors were included in this study. RNA was extracted by column-based methods. The quality of extracted RNA was assessed by spectrophotometric quantification and Bioanalyzer software analysis. All libraries were prepared using the CleanTag small RNA library preparation protocol and the effect of our additional modifications on adapter-dimer presence, sequencing data and tagged small RNA library population was also analyzed.

resultsOur results show that good quality sequencing libraries can be prepared following our optimized small RNA library preparation protocol from urinary exosomes. When the size selection by gel purification step was included within the workflow, adapter-dimer was totally removed from cDNA libraries. Furthermore, the inclusion of this modification step within small RNA library protocol augmented the small RNA mapped reads, with an especially significant 37% increase in miRNA reads, and the gel purification step made no difference to the tagged miRNA population.

conclusionsThis study provides researchers with an optimized small RNA library preparation workflow for next generation sequencing based exosome-associated miRNA analysis that yields a high amount of miRNA mapped reads without skewing the tagged miRNA population significantly.

Indexed as

ExosomesMicroRNAsGene LibraryHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNAMicroRNAsAdapter-dimerExosomemicroRNANext generation sequencingSize selection stepUrine

Identifiers

PMID32188466
PMCPMC7081560
OpenAlexW3012882288

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.