Nicholas R. Harvey

This study integrates multi-OMIC data from 12 cohorts to identify exercise-specific molecular signatures and gene regulatory patterns in human skeletal muscle.

This study shows exercise training reduces epigenetic and transcriptomic aging in human skeletal muscle, while muscle disuse accelerates transcriptomic aging.

The paper integrates skeletal muscle methylome and transcriptome data across three cohorts to identify sex differences in DNA methylation and gene expression, revealing functional links between epigenetic and transcriptional sex biases.

The paper identifies age-related DNA methylation changes in human skeletal muscle through a meta-analysis and integrates these with transcriptomic and proteomic data, revealing enriched age-related gene expression patterns.

The paper identifies nine nuclear-encoded SNPs associated with exercise response in the Gene SMART cohort using whole-mitochondrial genome sequencing and composite trait analysis.

The paper develops a muscle-specific epigenetic clock using DNA methylation data from skeletal muscle samples, achieving higher accuracy than a pan-tissue clock.