Ontology highlight
ABSTRACT:
SUBMITTER: Janssens GE
PROVIDER: S-EPMC6459000 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
Janssens Georges E GE Lin Xin-Xuan XX Millan-Ariño Lluís L Kavšek Alan A Sen Ilke I Seinstra Renée I RI Stroustrup Nicholas N Nollen Ellen A A EAA Riedel Christian G CG
Cell reports 20190401 2
Aging strongly influences human morbidity and mortality. Thus, aging-preventive compounds could greatly improve our health and lifespan. Here we screened for such compounds, known as geroprotectors, employing the power of transcriptomics to predict biological age. Using age-stratified human tissue transcriptomes and machine learning, we generated age classifiers and applied these to transcriptomic changes induced by 1,309 different compounds in human cells, ranking these compounds by their abili ...[more]