Related Experiment Video
Updated: Jul 10, 2026

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
Published on: April 27, 2021
Characterization of Synthetic Gene Circuits with Absolute Quantification in Continuous Culture
Scott B Stacey1, Ting An Lee2, Olivia Gallup2
1Department of Engineering Science, University of Oxford, Oxford, UK. scott.stacey@eng.ox.ac.uk.
Abstract:
Despite rapid improvements in our ability to engineer novel biological systems, robust biodesign of synthetic gene circuits-networks of synthetic genes regulating each other-has been limited by a lack of standardized methods for understanding and reproducibly characterizing their behavior in complex cellular contexts and over long timescales. The challenges underlying this include the complexity of biological interactions and the cellular contexts, changes in the cell culture environment over time, and the use of inconsistent measurement techniques in synthetic biology. Here, we describe a methodology for characterizing engineered biological systems while addressing these issues with the help of mathematical modeling, continuous cell culture, and absolute quantification of protein and cell numbers. As a case study, the characterization of a simple small RNA circuit in the Chi.Bio bioreactor platform is considered. We describe the biological system design choices, preparation of calibrants, running an experiment in Chi.Bio, the use of resulting data to obtain calibrated measurements in absolute units, and parameterization of a mathematical model of the engineered system. By coupling computational methods with precise control of cellular environments and robust experimental measurements, this interdisciplinary approach can produce more informative data and new insights into the design of engineered biological systems.
Related Concept Videos
Real Time RT-PCR
The real-time quantification of the number of amplified products is...
Synthetic Biology
Golden rice
Golden rice is a genetically modified...
Constitutive and Regulated Gene Expression

