Evidence map›Paper›PMID 37511412›Full record

ArticleInternational journal of molecular sciences2023

Phospho-RNA-Seq Highlights Specific Small RNA Profiles in Plasma Extracellular Vesicles.

Maria Solaguren-Beascoa, Ana Gámez-Valero, Georgia Escaramís, Marina Herrero-Lorenzo, Ana M Ortiz, Carla Minguet, Ricardo Gonzalo, Maria Isabel Bravo, Montserrat Costa, Eulàlia Martí

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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. Article
  2. Article
  3. Residual Genetic Material in Mature Red Blood Cells.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
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

10 authors.

Maria Solaguren-BeascoaDepartment de Biomedicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, C/Casanova 143, 08036 Barcelona, Spain.ORCID 0000-0001-6848-6826
Ana Gámez-ValeroDepartment de Biomedicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, C/Casanova 143, 08036 Barcelona, Spain.ORCID 0000-0002-9530-2751
Georgia EscaramísDepartment de Biomedicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, C/Casanova 143, 08036 Barcelona, Spain.
Marina Herrero-LorenzoDepartment de Biomedicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, C/Casanova 143, 08036 Barcelona, Spain.ORCID 0000-0003-2693-0700
Ana M OrtizGrifols Scientific Innovation Office, 08022 Barcelona, Spain.
Carla MinguetGrifols Scientific Innovation Office, 08022 Barcelona, Spain.
Ricardo GonzaloGrifols Scientific Innovation Office, 08022 Barcelona, Spain.
Maria Isabel BravoGrifols Scientific Innovation Office, 08022 Barcelona, Spain.
Montserrat CostaGrifols Scientific Innovation Office, 08022 Barcelona, Spain.
Eulàlia MartíDepartment de Biomedicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, C/Casanova 143, 08036 Barcelona, Spain.

Funding

Agencia Estatal de Investigación AEI/10.13039/501100011033Grifols SA PrivateSpanish Government (Ministerio de Ciencia e Innovación) PID2020-113953RB-I00
6 · The paper itself

Abstract

Small RNAs (sRNAs) are bioactive molecules that can be detected in biofluids, reflecting physiological and pathological states. In plasma, sRNAs are found within extracellular vesicles (EVs) and in extravesicular compartments, offering potential sources of highly sensitive biomarkers. Deep sequencing strategies to profile sRNAs favor the detection of microRNAs (miRNAs), the best-known class of sRNAs. Phospho-RNA-seq, through the enzymatic treatment of sRNAs with T4 polynucleotide kinase (T4-PNK), has been recently developed to increase the detection of thousands of previously inaccessible RNAs. In this study, we investigated the value of phospho-RNA-seq on both the EVs and extravesicular plasma subfractions. Phospho-RNA-seq increased the proportion of sRNAs used for alignment and highlighted the diversity of the sRNA transcriptome. Unsupervised clustering analysis using sRNA counts matrices correctly classified the EVs and extravesicular samples only in the T4-PNK treated samples, indicating that phospho-RNA-seq stresses the features of sRNAs in each plasma subfraction. Furthermore, T4-PNK treatment emphasized specific miRNA variants differing in the 5'-end (5'-isomiRs) and certain types of tRNA fragments in each plasma fraction. Phospho-RNA-seq increased the number of tissue-specific messenger RNA (mRNA) fragments in the EVs compared with the extravesicular fraction, suggesting that phospho-RNA-seq favors the discovery of tissue-specific sRNAs in EVs. Overall, the present data emphasizes the value of phospho-RNA-seq in uncovering RNA-based biomarkers in EVs.

Indexed as

Extracellular VesiclesMicroRNAsRNA, Small UntranslatedBiomarkersRNA-SeqSequence Analysis, RNABiomarkersMicroRNAsRNA, Small Untranslatedbiomarkersextracellular vesiclesplasmasmall RNAT4-PNK

Identifiers

PMID37511412
PMCPMC10380198

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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.