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Lookup NU author(s): Dr Sara LuzziORCiD, Dr Graham SmithORCiD, Dr Stephen WhiteORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Author(s): Vidotto G, Luzzi S, Humphries JD, Beal R, McVey D, Nelson CP, Webb TR, Humphries MJ, Smith GR, White SJ
Publication type: Article
Publication status: Published
Journal: Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease
Year: 2026
Volume: 15
Issue: 13
Print publication date: 07/07/2026
Online publication date: 23/06/2026
Acceptance date: 06/04/2026
Date deposited: 18/07/2026
ISSN (electronic): 2047-9980
Publisher: Wiley-Blackwell Publishing, Inc.
URL: https://doi.org/10.1161/JAHA.125.048290
DOI: 10.1161/JAHA.125.048290
Data Access Statement: The combined RNAseq and miRseq data sets are available at GSE300941. Proteomics data are available via ProteomeXchange with identifier PXD075178. In addition, a complete description of the bioinformatic methodology, including scripts for each step including merging miR databases and machine learning are available at https://github.com/GiulioVidotto/Influence_of_miRs_in_regulating_the_response_of_endothelial_cells_to_different_flow_environments
PubMed id: 42333643
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