Metabolomics-based phenotypic screens for evaluation of drug synergy via direct-infusion mass spectrometry.

ABSTRACT: Drugs used in combination can synergize to increase efficacy, decrease toxicity, and prevent drug resistance. While conventional high-throughput screens that rely on univariate data are incredibly valuable to identify promising drug candidates, phenotypic screening methodologies could be beneficial to provide deep insight into the molecular response of drug combination with a likelihood of improved clinical outcomes. We developed a high-content metabolomics drug screening platform using stable isotope-tracer direct-infusion mass spectrometry that informs an algorithm to determine synergy from multivariate phenomics data. Using a cancer drug library, we validated the drug screening, integrating isotope-enriched metabolomics data and computational data mining, on a panel of prostate cell lin

SUBMITTER: Lu X 

PROVIDER: S-EPMC9046262 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature