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Updated: Oct 30, 2025

Identification of Kinase-substrate Pairs Using High Throughput Screening
Published on: August 29, 2015
An engineered protein-phosphorylation toggle network with implications for endogenous network discovery
Deepak Mishra1,2,3, Tristan Bepler3,4,5, Brian Teague6
1Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Researchers engineered a fast, synthetic bistable toggle switch in yeast using protein phosphorylation. This work also identified five new naturally occurring bistable biological networks, advancing synthetic biology and cellular engineering.
Area of Science:
- Synthetic biology
- Molecular and cellular biology
- Biochemistry
Background:
- Fast, reversible reactions are key for engineering novel cellular behaviors.
- Existing regulatory systems often rely on slower mechanisms.
- Synthetic biological networks offer potential for rapid cellular control.
Purpose of the Study:
- To engineer a synthetic bistable toggle switch in Saccharomyces cerevisiae using protein-protein phosphorylation.
- To develop a computational framework for identifying endogenous bistable networks.
- To experimentally validate newly discovered endogenous bistable networks.
Main Methods:
- Construction of a synthetic toggle switch utilizing a cross-repression topology with 11 protein-protein phosphorylation elements.
- Development of a computational framework to search endogenous protein pathways for bistable networks.
- Experimental verification of identified endogenous networks for bistability.
Main Results:
- Successfully created an ultrasensitive synthetic toggle switch in yeast that switches states within seconds and maintains long-term bistability.
- Identified and experimentally verified five previously unreported endogenous biological networks exhibiting bistability.
- Demonstrated the utility of the computational framework for discovering functional biological networks.
Conclusions:
- Synthetic protein-protein networks can be rapidly engineered for sophisticated cellular regulation.
- The developed computational framework aids in the discovery of endogenous networks with specific functions.
- This research paves the way for designing fast sensing and processing systems in bioengineering.
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