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A Graphical User Interface for Software-assisted Tracking of Protein Concentration in Dynamic Cellular Protrusions
Published on: July 11, 2017
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Design and implementation of a biomolecular concentration tracker
Victoria Hsiao1, Emmanuel L C de los Santos, Weston R Whitaker
1Division of Biology and Biological Engineering, California Institute of Technology , Pasadena, California United States.
ACS Synthetic Biology
|May 23, 2014
Summary
Synthetic biology engineers complex systems using feedback. This study developed a biomolecular concentration tracker circuit in E. coli for dynamic protein tracking and tunable outputs.
Area of Science:
- Synthetic biology
- Molecular engineering
- Systems biology
Background:
- Synthetic biology aims to engineer complex artificial systems within living cells.
- Closed-loop active feedback systems provide dynamic and adaptive control, maintaining constant activity despite cellular noise.
- Protein scaffolds offer a modular approach for building biological circuits.
Purpose of the Study:
- To engineer a synthetic protein scaffold-based circuit for dynamic concentration tracking.
- To implement negative feedback for robust biomolecular concentration monitoring.
- To demonstrate tunability of steady-state outputs in engineered biological systems.
Main Methods:
- Utilized synthetic protein scaffolds as a modular mechanism for negative feedback control.
- Designed a circuit where input triggers scaffold production, leading to colocalization and antiscaffold protein expression.
- Employed a combination of computational modeling and experimental validation in Escherichia coli.
Main Results:
- Demonstrated successful dynamic protein concentration tracking in Escherichia coli.
- Showcased the ability of the biomolecular concentration tracker circuit to respond to changing inputs.
- Confirmed that the steady-state outputs of the circuit can be effectively tuned.
Conclusions:
- The developed synthetic protein scaffold system enables robust biomolecular concentration tracking.
- The circuit provides a tunable platform for controlling protein levels in engineered cells.
- This work contributes to the advancement of dynamic control strategies in synthetic biology.

