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Updated: Oct 9, 2025

Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials
Published on: March 9, 2017
Programmable living assembly of materials by bacterial adhesion
Baizhu Chen1,2, Wei Kang1, Jing Sun3
1Materials Synthetic Biology Center, CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Engineered bacteria form self-healing living materials called LAMBA through programmed adhesion. These versatile materials can be functionalized and used in wearable sensors, biomanufacturing, and bioremediation.
Area of Science:
- Materials Science
- Synthetic Biology
- Biotechnology
Background:
- Engineered living materials leverage biological systems for novel functionalities.
- Programmed bacterial self-assembly via engineered adhesion is a promising strategy.
- Existing methods lack self-healing properties and versatile functionalization.
Purpose of the Study:
- To engineer self-healing living materials with versatile functions using programmed bacterial adhesion.
- To develop a scalable approach for creating genetically editable and self-healable living functional materials.
- To demonstrate the application of these materials in wearable sensors.
Main Methods:
- Utilized bacteria engineered with outer membrane-anchored nanobody-antigen pairs for controlled adhesion.
- Developed a method for processing these adhering bacteria into functional materials termed LAMBA (living assembled material by bacterial adhesion).
- Functionalized LAMBA with extracellular moieties and tested self-healing properties under mechanical stress.
Main Results:
- Successfully created LAMBA with programmable self-assembly and functionalization capabilities (up to 545 amino acids).
- Demonstrated rapid self-healing and recovery of LAMBA under stretching and bending.
- Fabricated wearable LAMBA sensors capable of detecting bioelectrical and biomechanical signals.
Conclusions:
- Established a scalable method for producing genetically editable, self-healable living functional materials.
- LAMBA offers a versatile platform for applications in biomanufacturing, bioremediation, and soft bioelectronics.
- The self-healing property of LAMBA enables robust performance in wearable sensing applications.
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