Philip James Atherton

This paper develops a network-based atlas of human skeletal muscle aging using transcriptomic data from 1,675 biopsies and multiple single-cell technologies, revealing gene modules and interactions associated with aging and load status.

This study shows that rapamycin improves genome stability in aged human immune cells by reducing DNA damage, enhancing cell survival, and decreasing senescence markers.

The paper introduces a method combining deuterated water labeling and DIA-MS/MS to quantify protein turnover rates, validated in a murine model.

The paper develops a large-scale blood transcriptomic resource for Alzheimer's disease, identifies sex-specific differences, and models insulin resistance biomarkers using machine learning.

This study examines how age and limb dominance affect neuromuscular function during tasks of varying complexity, finding asymmetric adaptations in older adults.

This study examines bilateral neuromuscular adaptation after unilateral resistance exercise in older adults, finding reduced MVC in both legs but no change in MU potentials in the non-exercised limb.

This study shows that theta-gamma tACS over M1 improves motor skill acquisition in both young and older adults, with stronger effects in young adults and lasting benefits up to 60 minutes post-training.