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Molecular Signal Processing
Bioorganic Chemistry
Biochemistry of Plant Interactions
Cell and Metabolic Biology
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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
Recent progress in the field of synthetic biology has led to the creation of cells containing synthetic genomes. Although these first synthetic organisms contained copies of natural genomes, future work will be directed toward engineering of organisms with modified genomes and novel phenotypes. Much work, however, remains to be done to be able to routinely engineer novel biological functions. As a tool that will be useful for such purpose, we have recently developed a modular cloning system (MoClo) that allows high throughput assembly of multiple genetic elements. We present here new features of this cloning system that allow to increase the speed of assembly of multigene constructs. As an example, 68 DNA fragments encoding basic genetic elements were assembled using three one-pot cloning steps, resulting in a 50 kb construct containing 17 eukaryotic transcription units. This cloning system should be useful for generating the multiple construct variants that will be required for developing gene networks encoding novel functions, and fine-tuning the expression levels of the various genes involved.
This page was last modified on 27 Jan 2025 .
