Related Experiment Video
Updated: May 5, 2026

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
Published on: December 1, 2017
A wise consistency: engineering biology for conformity, reliability, predictability.
1Department of Bioengineering, University of California, 2151 Berkeley Way, Berkeley, CA 94704-5230, United States; Physical Biosciences Division, E. O. Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Mailstop 955-512L, Berkeley, CA 94720, United States.
Engineered organisms in synthetic biology require complex designs for safe human and environmental interactions. This review covers methods to characterize uncertainties, enabling predictable and reliable complex biological system design.
Area of Science:
- Synthetic biology
- Systems biology
- Bioengineering
Background:
- Next-generation synthetic biology applications involve engineered organisms interacting with humans, animals, and the environment.
- Applications include cellular and viral therapies for health maintenance and improvement.
- Complex system designs are needed for reliable and specific functions in these intimate settings.
Purpose of the Study:
- To review systematic methods for characterizing uncertainties in biological systems.
- To address challenges in designing predictable and safe complex biological systems.
- To lower barriers to predictive design for reliable synthetic biology applications.
Main Methods:
- Review of systematic methodologies for uncertainty characterization.
- Analysis of challenges posed by biological building blocks, hosts, and environments.
- Focus on methods enabling predictable system behavior.
Main Results:
- Identification of effective methods for characterizing uncertainties in biological systems.
- Demonstration of approaches to manage complexity in engineered organisms.
- Highlighting techniques that improve the predictability and safety of synthetic biology systems.
Conclusions:
- Systematic uncertainty characterization is crucial for reliable complex biological system design.
- Addressing uncertainties lowers barriers to developing safe and predictable engineered organisms.
- This work facilitates the advancement of synthetic biology applications in diverse environments.
Related Concept Videos
Control Systems
At the heart...
Conformity
Constraints and Statical Determinacy
Random and Systematic Errors
Cognitive Dissonance
Reliability and Validity

