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Updated: Oct 30, 2025

Identification of Kinase-substrate Pairs Using High Throughput Screening

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 Mishra^1,2,3, Tristan Bepler^3,4,5, Brian Teague⁶

¹Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Science (New York, N.Y.)

|July 2, 2021

Summary

This summary is machine-generated.

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.

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Last Updated: Oct 30, 2025

Identification of Kinase-substrate Pairs Using High Throughput Screening

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Published on: May 18, 2017

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.