Our research idea is to study the interconnectivity of DNA, RNA, protein and metabolites in dynamic networks by employing the uniquely positioned system of glucosinolate defense compounds in Arabidopsis thaliana.
This plant is already a preeminent systems biology model organism with its extensive ‘omics data, bioinformatics tools, natural variation and mutant collections. glucosinolates are ideal model metabolites: All individual biosynthetic genes are known, key regulators and transporters are identified, and we have indications that ncRNA, miRNA and metabolite sensing control transcription. In addition, glucosinolate are easy to measure in a high-throughput setting, and they are subject to highly dynamic changes in response to developmental and environmental cues. We believe that this model system has the characteristics that enable study of universal principles in coordination of dynamic systems at all levels in a multicellular organism.
As outlined in the figure to the right, our research program is to build on this wealth of knowledge and tools and employ cutting-edge technologies within protein-protein interaction, RNA-proteomics, ligandbased screens, advanced bioimaging and mass spectrometry, to expand our knowledge at the frontier of cellular and organismal biology.
DynaMo's research objectives are
to elucidate the dynamic interactions of enzymes and regulatory proteins and RNAs.
to identify novel genes in the glucosinolate system and new levels of biological phenomena utilizing natural variation.
to decipher the entire transporter complement of a given metabolite, i.e. all intra- and intercellular transporters.
to visualize the orchestration of glucosinolate biosynthesis, transport and storage using advanced bioimaging.