Work

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

Year: 2024

Type: article

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.

Source: American Journal of Physiology-Heart and Circulatory Physiology

DOI: 10.1152/ajpheart.00474.2024

Authors: Shatha Salameh, Devon Guerrelli, Jacob A. Miller, Manan Desai, Nicolae Moise, Can Yerebakan, Alisa Bruce, Pranava Sinha, Yves d’Udekem, Seth H. Weinberg, Nikki Gillum Posnack

Institutions: Children's National, George Washington University, Sheikh Zayed Institute for Pediatric Surgical Innovation, The Ohio State University, University of Minnesota

Language: English

Topic: Cardiac electrophysiology and arrhythmias

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: American Heart Association, Children’s Hospital of Wisconsin Research Institute, National Institutes of Health, National Heart, Lung, and Blood Institute, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G1918866126, Therapeutic Targeting of Voltage Gated Sodium Channel Autoregulation, Investigating age-dependent differences in cardiac drug response, G736570329, G9000074227, G9000137806, Distinct Ion Channel Pools and Intercalated Disk Nanoscale Structure Regulate Cardiac Conduction, G992424599

OpenAlex ID: W4403762839

FWCI: 1.603

Cites: 69

Cited by: 6

Related to: 10