Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/207048
Title: Comparison of Extracellular Vesicle Isolation Methods for miRNA Sequencing
Author: Llorens-Revull, Meritxell
Martínez-González, Brenda
Quer, Josep
Esteban, Juan Ignacio
Núñez-Moreno, Gonzalo
Mínguez, Pablo
Burgui, Idoia
Ramos-Ruíz, Ricardo
Soria, María Eugenia
Rico, Angie
Riveiro-Barciela, Mar
Sauleda, Silvia
Piron, María
Corrales, Irene
Borràs i Serres, Francesc Enric
Rodríguez-Frías, Francisco
Rando, Ariadna
Ramírez-Serra, Clara
Camós, Silvia
Domingo, Esteban
Bes, Marta
Perales, Celia
Costafreda Salvany, M. Isabel (Maria Isabel)
Keywords: RNA
Marcadors bioquímics
RNA
Biochemical markers
Issue Date: 29-Jul-2023
Publisher: MDPI
Abstract: MicroRNAs (miRNAs) encapsulated in extracellular vesicles (EVs) are potential diagnostic and prognostic biomarkers. However, discrepancies in miRNA patterns and their validation are still frequent due to differences in sample origin, EV isolation, and miRNA sequencing methods. The aim of the present study is to find a reliable EV isolation method for miRNA sequencing, adequate for clinical application. To this aim, two comparative studies were performed in parallel with the same human plasma sample: (i) isolation and characterization of EVs obtained using three procedures: size exclusion chromatography (SEC), iodixanol gradient (GRAD), and its combination (SEC+GRAD) and (ii) evaluation of the yield of miRNA sequences obtained using NextSeq 500 (Illumina) and three miRNA library preparation protocols: NEBNext, NEXTFlex, and SMARTer smRNA-seq. The conclusion of comparison (i) is that recovery of the largest amount of EVs and reproducibility were attained with SEC, but GRAD and SEC+GRAD yielded purer EV preparations. The conclusion of (ii) is that the NEBNext library showed the highest reproducibility in the number of miRNAs recovered and the highest diversity of miRNAs. These results render the combination of GRAD EV isolation and NEBNext library preparation for miRNA retrieval as adequate for clinical applications using plasma samples.
Note: Reproducció del document publicat a: https://doi.org/10.3390/ijms241512183
It is part of: International Journal of Molecular Sciences, 2023, vol. 24, num.15, p. 1-15
URI: http://hdl.handle.net/2445/207048
Related resource: https://doi.org/10.3390/ijms241512183
ISSN: 1661-6596
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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