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Publications - Cell and Metabolic Biology
Publications
A bottleneck in the development of new anti‐cancer drugs is the recognition of their mode of action (MoA). Metabolomics combined with machine learning allowed to predict MoAs of novel anti‐proliferative drug candidates, focusing on human prostate cancer cells (PC‐3). As proof of concept, 38 drugs are studied with known effects on 16 key processes of cancer metabolism, profiling low molecular weight intermediates of the central carbon and cellular energy metabolism (CCEM) by LC‐MS/MS. These metabolic patterns unveiled distinct MoAs, enabling accurate MoA predictions for novel agents by machine learning. The transferability of MoA predictions based on PC‐3 cell treatments is validated with two other cancer cell models, i.e., breast cancer and Ewing\'s sarcoma, and show that correct MoA predictions for alternative cancer cells are possible, but still at some expense of prediction quality. Furthermore, metabolic profiles of treated cells yield insights into intracellular processes, exemplified for drugs inducing different types of mitochondrial dysfunction. Specifically, it is predicted that pentacyclic triterpenes inhibit oxidative phosphorylation and affect phospholipid biosynthesis, as confirmed by respiration parameters, lipidomics, and molecular docking. Using biochemical insights from individual drug treatments, this approach offers new opportunities, including the optimization of combinatorial drug applications.
Publications
A T-DNA insertion mutant of FUSCA3 (fus3-T) in Arabidopsis thaliana exhibits several of the expected deleterious effects on seed development, but not the formation of brown seeds, a colouration which results from the accumulation of large amounts of anthocyanin. A detailed phenotypic comparison between fus3-T and a known splice point mutant (fus3-3) revealed that the seeds from both mutants do not enter dormancy and can be rescued at an immature stage. Without rescue, mature fus3-3 seeds are non-viable, whereas those of fus3-T suffer only a slight loss in their germinability. A series of comparisons between the two mutants uncovered differences with respect to conditional lethality, in histological and sub-cellular features, and in the relative amounts of various storage compounds and metabolites present, leading to a further dissection of developmental processes in seeds and a partial reinterpretation of the complex seed phenotype. FUS3 function is now known to be restricted to the acquisition of embryo-dependent seed dormancy, the determination of cotyledonary cell identity, and the synthesis and accumulation of storage compounds. Based on DNA binding studies, a model is presented which can explain the differences between the mutant alleles. The fus3-T lesion is responsible for loss of function only, while the fus3-3 mutation induces various pleiotropic effects conditioned by a truncation gene product causing severe mis-differentiation.
This page was last modified on 27 Jan 2025 .
