Molecular and Genetic Medicine

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark

Publications

• Commentary   
  Enhancing Transcriptomics-Based Model-Driven Performance via Stoichiometric Gene-to-Reaction Associations: Metabolic Reprogramming in Prostate Cancer
  Author(s): Igor Marín de Mas*
  
  Genome-scale metabolic models (GSMMs) have been widely used to study the molecular mechanisms underlying a variety of diseases with a strong metabolic component such as diabetes or cancer. GSMMs incorporate logical rules associating genes, proteins, and reactions (GPR rules), enabling the integration of either proteomics or transcriptomics. However, current GPR formulation do not account for the necessary stoichiometry to describe the number of transcript copies that are necessary to generate a catalytically active enzyme, which limits our understanding of how gene expression modulates metabolism. Thus, in this short commentary article, we introduce the stoichimetric-GPR (S-GPR) concept, presented in Marin de Mas I et al. The novel S-GPRs associations were implemented to study the metabolic reprogramming in DU145 prostate cancer cells associated to the chro.. Read More»
  

  Abstract HTML PDF