My research project
Exploring the role of noise on quantum decoherence in cellular systems
Noise, defined as the standard deviation normalised to the mean of any set of observations, is a fundamental challenge in quantitative models of molecular biology. Michael will focus on characterising noise in a model organism and connecting observed noise to a novel cause of noise, post-transcriptional regulation. The 3’ untranslated region (UTR) of mRNA transcripts has been highlighted in previous work as a possible region for translational auto-regulation by corresponding RNA-binding proteins. He will generate next-generation mNeonGreen-tagged strains in the model organism Saccharomyces cerevisiae. The strains will improve on previous strains by preserving the endogenous 3’ UTRs while allowing sensitive quantification of autoregulatory RNA-binding proteins. Quantification will be done using high-throughput flow cytometry, to provide powerful and reliable results. This basic research will give insights into the central dogma of biology and constitutes a missing link in modern models of gene expression for biomedical research and synthetic biosyntheses which focus on transcriptional noise but not yet translation.