Replication Data for: Changes in the microRNA cargo of granulosa cell-derived extracellular vesicles under oxidative stress in a bovine model

DOI

Data of research article: "Changes in the microRNA cargo of granulosa cell-derived extracellular vesicles under oxidative stress in a bovine model". This study aimed to characterize and compare the miRNA profiles of both granulosa cells (GCs) and their secreted extracellular vesicles (EVs) following exposure to oxidative stress. Bovine GCs were treated with 5 µM H2O2 for 40 min, followed by 24 h of culture. EVs were isolated from the conditioned media using size-exclusion chromatography and characterized by nanoparticle tracking analysis, transmission electron microscopy, and flow cytometry. Small RNA sequencing was performed on both the GCs and their secreted EVs to identify stress-responsive miRNA signatures.

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Identifier
DOI https://doi.org/10.34810/DATA3540
Related Identifier IsSupplementTo https://doi.org/10.1186/s40659-026-00689-8
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/DATA3540
Provenance
Creator Diaz-Muñoz, Judith ORCID logo; Yulia N. Cajas ORCID logo; Cañon-Beltran, Karina ORCID logo; Arévalo, Lena ORCID logo; Gago, Sonia ORCID logo; Iniesta Cuerda, María ORCID logo; Soler, Ana Josefa ORCID logo; Rizos, Dimitrios ORCID logo; Mogas, Teresa ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Diaz Muñoz, Judith; Universitat Autònoma Barcelona
Publication Year 2026
Funding Reference Agencia Estatal de Investigación PID2020-116531RB-I00 ; Agencia Estatal de Investigación ID2021-126988OB-I00 ; Agencia Estatal de Investigación PID2023-149027OB-I00 ; Agencia Estatal de Investigación PRE2021-098675 ; Generalitat de Catalunya 2021 SGR 00900 ; Generalitat de Catalunya DI00002
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Diaz Muñoz, Judith (Universitat Autònoma de Barcelona)
Representation
Resource Type Experimental data; Dataset
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Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Medicine