miREV: An Online Database and Tool to Uncover Potential Reference RNAs and Biomarkers in Small-RNA Sequencing Data Sets from Extracellular Vesicles Enriched Samples.

Extracellular vesicles Next-generation Sequencing RT-qPCR biofluid human blood plasma & serum normalization methods stability algorithms

Journal

Journal of molecular biology
ISSN: 1089-8638
Titre abrégé: J Mol Biol
Pays: Netherlands
ID NLM: 2985088R

Informations de publication

Date de publication:
23 07 2021
Historique:
received: 11 01 2021
revised: 11 05 2021
accepted: 22 05 2021
pubmed: 31 5 2021
medline: 21 9 2021
entrez: 30 5 2021
Statut: ppublish

Résumé

Extracellular vesicles (EVs) are nano-sized, membrane-enclosed vesicles released by cells for intercellular communication. EVs are involved in pathological processes and miRNAs in EVs have gained interest as easily accessible biomolecules in liquid biopsies for diagnostic purposes. To validate potential miRNA biomarker, transcriptome analyses must be carried out to detect suitable reference miRNAs. miREV is a database with over 400 miRNA sequencing data sets and helps the researcher to find suitable reference miRNAs for their individual experimental setup. The researcher can put together a specific sample set in miREV, which is similar to his own experimental concept in order to find the most suitable references. This allows to run validation experiments without having to carry out a complex and costly transcriptome analysis priorly. Additional read count tables of each generated sample set are downloadable for further analysis. miREV is freely available at https://www.physio.wzw.tum.de/mirev/.

Identifiants

pubmed: 34052284
pii: S0022-2836(21)00288-6
doi: 10.1016/j.jmb.2021.167070
pii:
doi:

Substances chimiques

Genetic Markers 0
MicroRNAs 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

167070

Informations de copyright

Copyright © 2021. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Disclosure statement The authors reported no potential conflict of interest.

Auteurs

Alex Hildebrandt (A)

Animal Physiology and Immunology, Technical University of Munich, Freising, Germany. Electronic address: alex.hildebrandt@tum.de.

Benedikt Kirchner (B)

Animal Physiology and Immunology, Technical University of Munich, Freising, Germany.

Esther N M Nolte-'t Hoen (ENM)

Department of Biochemistry and Cell Biology, Utrecht University, Utrecht, the Netherlands.

Michael W Pfaffl (MW)

Animal Physiology and Immunology, Technical University of Munich, Freising, Germany.

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Classifications MeSH