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A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
Published on: October 6, 2019
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Synthetic gene networks recapitulate dynamic signal decoding and differential gene expression
Dirk Benzinger1, Serguei Ovinnikov1, Mustafa Khammash1
1Department of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
Cell Systems
|March 17, 2022
Summary
Scientists engineered optogenetic circuits to decode dynamic cellular signals, increasing information transmission for precise control of metabolic pathways in biotechnology.
Area of Science:
- Synthetic biology
- Systems biology
- Optogenetics
Background:
- Cells process dynamic environmental signals via complex pathways.
- Mechanisms for decoding dynamic signals into gene expression are not well understood.
Purpose of the Study:
- To develop synthetic optogenetic systems for dynamic signal processing.
- To investigate information transmission capacity using dynamic multiplexing.
- To enable precise multidimensional regulation of biological pathways.
Main Methods:
- Designed networked optogenetic pathways with light-responsive regulators.
- Constructed a falling edge pulse detector for signal demultiplexing.
- Integrated circuits with dCas9-based gene networks for filtering and decoding.
- Applied information theory to quantify signal transmission.
Main Results:
- Demonstrated a falling edge pulse detector circuit for demultiplexing dynamic signals.
- Showcased pulsatile signal filters and decoders using synthetic gene networks.
- Quantified significant increases in information transmission capacity via dynamic multiplexing.
- Achieved precise multidimensional regulation of a heterologous metabolic pathway.
Conclusions:
- Elucidated design principles for dynamic information processing in synthetic systems.
- Provided novel synthetic tools for decoding complex signals in biotechnology.
- Highlighted the potential of dynamic multiplexing for enhanced cellular control.
Keywords:
dynamic multiplexinggene expression regulationinformation theorymetabolix engineeringoptogeneticssignal decodingsignaling dynamicssynthetic biologysystems biologyMore Related Videos
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