Unknown

Dataset Information

In-silico gene essentiality analysis of polyamine biosynthesis reveals APRT as a potential target in cancer.


ABSTRACT: Constraint-based modeling for genome-scale metabolic networks has emerged in the last years as a promising approach to elucidate drug targets in cancer. Beyond the canonical biosynthetic routes to produce biomass, it is of key importance to focus on metabolic routes that sustain the proliferative capacity through the regulation of other biological means in order to improve in-silico gene essentiality analyses. Polyamines are polycations with central roles in cancer cell proliferation, through the regulation of transcription and translation among other things, but are typically neglected in in silico cancer metabolic models. In this study, we analysed essential genes for the biosynthesis of polyamines. Our analysis corroborates the importance of previously known regulators of the pathway, s

SUBMITTER: Pey J 

PROVIDER: S-EPMC5662602 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature