Manoel E. Lixandrão

This study shows HGSC transcriptomic subtypes are driven by tumor cellular composition rather than intrinsic biology, with high predictive accuracy using deconvolution methods.

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.

The paper identifies metabolic pathways disrupted in low responders to resistance training in older adults using metabolomics.

The paper compares transcriptomic responses in skeletal muscle and extracellular vesicles after traditional and high-intensity exercise in young adults, finding more consistent gene responses to traditional exercise and unique microRNA responses to high-intensity training.