Danielle Hiam

This study shows that free testosterone is linked to skeletal muscle transcriptome changes but not to muscle mass or strength in males aged 18-80.

This study uses a novel R-based pipeline, MetAR, to analyze RNA-seq datasets and finds that androgen receptor expression declines with age in human skeletal muscle.

This study examines how muscle mass and denervation affect maximal power and rapid force in adult females across their lifespan.

This study identifies tissue-specific sex-biased DNA methylation changes across the lifespan, showing that age-related methylation changes are widespread but sex effects are rare and tissue-specific.

The paper profiles miRNA in human skeletal muscle mitochondria before and after acute exercise, finding a distinct miRNA population with hsa-miR-146b-3p differentially expressed post-exercise.

The study compares the transcriptomic profiles of human muscle biopsies and their derived primary myocytes, finding minimal retention of age and sex-related gene expression patterns in culture.

This study examines how age and sex hormones affect female neuromuscular function across adulthood, finding accelerated decline around menopause linked to hormonal changes and muscle vulnerability.

This study finds that total testosterone is not linked to muscle mass or strength in pre-menopausal females, but bioavailable testosterone and nuclear-localized androgen receptor are associated with muscle hypertrophy.

This study examines how sleep restriction and resistance exercise interact to affect skeletal muscle transcriptomics in young females, finding that sleep loss moderates the gene expression response to exercise.

This study integrates DNA methylation and proteomics data from human skeletal muscle to identify group and individual responses to high-intensity interval training.

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.