Gisela Altés

SenCat catalogs senescence markers across 14 human cell types using transcriptomic and proteomic profiling, revealing shared metabolic pathways and enabling machine learning-based identification of senescent cells.

This study investigates adult-onset Sprouty1/2/4 triple knockout mice, revealing endocrine defects without increased tumor incidence.

The paper investigates how gene expression changes during heat shock adaptation in yeast are constrained by metabolic requirements and shows these changes are specific to heat shock.