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Cardiac ion channel expression in the equine model - In-silico prediction utilising RNA sequencing data from mixed
Antoine Premont1, Khalil Saadeh1,2, Charlotte Edling1
1Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK.
Physiological Reports
|July 26, 2022
Summary
Equine cardiac ion channel gene expression was predicted, revealing key differences from human studies. These findings offer new insights into cardiac electrophysiology and potential mechanisms of arrhythmias in horses.
Area of Science:
- Cardiovascular Science
- Molecular Biology
- Genomics
Background:
- Understanding cardiomyocyte ion channel expression is vital for cardiac electrophysiology and pathology.
- Equine cardiac ion channel expression remains largely uninvestigated.
Purpose of the Study:
- To predict equine cardiac ion channel gene expression using existing RNAseq data.
- To identify differences in equine cardiac ion channel expression compared to humans.
Main Methods:
- Retrieved and reanalyzed raw RNAseq data from 9 normal horse datasets.
- Developed a predictive model for tissue-specific gene expression based on mixed tissue data.
- Validated model performance by comparing predicted equine cardiac expression to human data.
Main Results:
- Successfully predicted cardiac-specific expression for 91 ion channels in horses.
- Identified significant differences compared to human cardiac expression patterns.
- Observed a predominance of NaV 1.4 over NaV 1.5 and RYR1/SERCA1/CASQ1 over RYR2/SERCA2/CASQ2 in equine hearts.
Conclusions:
- Equine cardiac ion channel expression differs notably from humans, suggesting distinct regulatory and pathological mechanisms.
- These differences may influence arrhythmogenesis in horses.
- Provides a foundational dataset for future equine cardiovascular research.
