Model-based characterization of intrinsic noise in multistable genetic circuits (2014-2019)
A mathematical framework for the characterization of noise in genetic circuits was developed, with which mRNA and protein fluctuations can be quantified in terms of their variance and temporal structure. The connection between the reactions in a regulatory circuit and its intrinsic stochasticity was analyzed. This allows the prediction of population heterogeneity and the model-guided design of circuits with functional noise properties for applications in biotechnology and synthetic biology.
Former project supervisor: Dr. Sayuri Katharina Hortsch
Dissertation: Model-based characterization of intrinsic noise in multistable genetic circuits