Despite their biological importance, the role of stem cells in human aging remains to be elucidated. In a new study, researchers Gabriel Arantes dos Santos, Gustavo Daniel Vega Magdaleno, and João Pedro de Magalhães from the Universidade de Sao Paulo, University of Birmingham, and the University of Liverpool applied a machine learning method to detect stemness signatures from transcriptome data of healthy human tissues.

"In this work, we applied a machine learning methodology to GTEx transcriptome data and assigned stemness scores to 17,382 healthy samples from 30 human tissues aged between 20 and 79 years."

Evidence of a pan-tissue decline in stemness during human aging (medicalxpress.com)