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Updated: May 20, 2026

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Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials
Published on: March 9, 2017
Synthetic biology advancing clinical applications
Marc Folcher1, Martin Fussenegger
1ETH Zurich, Department of Biosystems Science and Engineering (D-BSSE), Mattenstrasse 26, CH-4058 Basel, Switzerland.
Current Opinion in Chemical Biology
|July 24, 2012
Summary
Synthetic biology integrates
Area of Science:
- Synthetic biology leverages engineering principles to design and construct novel biological systems and functions.
- It bridges molecular biology, computational biology, and systems biology for advanced life science applications.
Background:
- The 'omics' era provided foundational data on genetic and protein components.
- Systems biology offered insights into the network structures of biological systems.
- These advancements paved the way for the emergence of synthetic biology.
Purpose of the Study:
- To explore the role of synthetic biology in advancing the understanding of complex biological control dynamics.
- To highlight the potential of synthetic biology-inspired applications in biomedicine.
- To showcase the iterative design cycle and standardized biological components used in synthetic biology.
Main Methods:
- Utilizes an iterative design cycle combining molecular and computational biology tools.
- Employs a comprehensive catalogue of standardized biological components with predictable functions.
- Focuses on assembling functional designer devices for programming living systems.
Main Results:
- Significantly advanced the understanding of complex control dynamics within living systems.
- Demonstrated the assembly of functional designer devices using standardized biological parts.
- Generated insights over the past decade into programming living systems.
Conclusions:
- Synthetic biology is poised to revolutionize drug discovery and production.
- Synthetic biology offers transformative treatment strategies for infectious diseases and metabolic disorders.
- The integration of 'omics' data and systems biology has catalyzed progress in synthetic biology.
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