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Connecting transcriptomics with computational modeling to reveal developmental adaptations in pediatric human atrial tissue

2024/10/25 by Shatha Salameh, Devon Guerrelli, Jacob A. Miller +8
Medicine · #Cardiac electrophysiology and arrhythmias #Cardiomyopathy and Myosin Studies #Cardiovascular Function and Risk Factors

paper · doi:10.1152/ajpheart.00474.2024

openalex publication_date 2024/10/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

To date, our knowledge of the temporal changes that cardiomyocytes undergo during postnatal development is limited. In this study, we demonstrate age-dependent adaptations in the gene expression profile of >100 atrial tissue samples collected from congenital heart disease patients. We coupled transcriptomics datasets with computational modeling to simulate action potentials and calcium transients for different pediatric age groups.

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