title: Contribution of Bistability and Noise to Cell Fate Transitions Determined by Feedback Opening.
abstract: Alternative cell fates represent a form of non-genetic diversity, which can promote adaptation and functional specialization. It is difficult to predict the rate of the transition between two cell fates due to the strong effect of noise on feedback loops and missing parameters. We opened synthetic positive feedback loops experimentally to obtain open-loop functions. These functions allowed us to identify a deterministic model of bistability by bypassing noise and the requirement to resolve individual processes in the loop. Combining the open-loop function with kinetic measurements and reintroducing the measured noise, we were able to predict the transition rates for the feedback systems without parameter tuning. Noise in gene expression was the key determinant of the transition rates inside the bistable range. Transitions between two cell fates were also observed outside of the bistable range, evidenced by bimodality and hysteresis. In this case, a slow transient process was the rate-limiting step in the transitions. Thus, feedback opening is an effective approach to identify the determinants of cell fate transitions and to predict their rates.
authors: Biozentrum, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland; School of Biosciences, University of Kent, Canterbury, Kent CT2 7NJ, UK.
authors: Chieh
authors: C
authors: Hsu
authors: Biozentrum, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland.
authors: Vincent
authors: V
authors: Jaquet
authors: Biozentrum, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland.
authors: Farzaneh
authors: F
authors: Maleki
authors: Biozentrum, University of Basel, Klingelbergstrasse 50/70, 4056 Basel, Switzerland. Electronic address: attila.becskei@unibas.ch.
authors: Attila
authors: A
authors: Becskei
mesh_terms: D008828:Microbiological Techniques / Q000379:methods*; D010641:Phenotype; D012441:Saccharomyces cerevisiae / Q000254:growth & development / Q000502:physiology*
keywords: positive feedback loop; stochastic gene expression; synthetic biology