How Systems Biology is Cracking the Cancer Code
Explore cellular intricacies through systems biology. Osbaldo Resendis-Antonio's team integrates diverse biological data to understand metabolic alterations in diseases like cancer. Their predictive models offer insights into tumor heterogeneity, paving the way for personalized treatments.
The arrival and development of high-throughput technologies open a window to explore cellular activity, from their genome to gene, protein and metabolic expression profiles on a massive scale. The interpretation of these data allows us to explore how living organisms modulate their response at different biological scales and to discover the principles that govern them.
Osbaldo Resendis-Antonio, researcher of the Research Support Network (RAI-UNAM), of the National Institute of Genomic Medicine (INMEGEN), and member of the Center for Complexity Sciences (C3) of the UNAM, explained the above and acknowledged: