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Genetic Parts and Enabling Tools for Biocircuit Design
Felipe Buson1,2, Yuanli Gao1,2, Baojun Wang1
1College of Chemical and Biological Engineering & ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China.
ACS Synthetic Biology
|March 1, 2024
Summary
Synthetic biology relies on standardized genetic parts for engineering biological systems. This review covers available part libraries for biocircuit design and introduces biopartsDB, a database to aid part selection.
Area of Science:
- Synthetic biology
- Genetic engineering
- Biotechnology
Background:
- Synthetic biology requires standardized, high-quality genetic parts for engineering biological systems.
- Existing part libraries are crucial for creating reliable biocircuits and devices.
- Standardization ensures components are analyzed using consistent metrics and contexts.
Purpose of the Study:
- To review available genetic part libraries for biocircuit design in synthetic biology.
- To discuss gene expression regulation strategies at transcriptional, translational, and post-translational levels.
- To introduce biopartsDB, a database for curating and selecting genetic parts.
Main Methods:
- Comprehensive literature review of synthetic biology part libraries.
- Analysis of gene expression regulation paradigms in *Escherichia coli*.
- Development of a curated database (biopartsDB) for genetic parts and devices.
Main Results:
- Identification and categorization of current genetic part libraries for biocircuit design.
- Discussion of challenges and strategies for integrating parts into complex biological systems.
- Establishment of biopartsDB, a database featuring well-characterized genetic parts with quantitative data.
Conclusions:
- Standardized genetic parts are essential for advancing synthetic biology.
- BiopartsDB facilitates the selection and integration of genetic parts for biocircuit development.
- Further efforts in cataloguing and standardizing measurement data are needed to enhance synthetic biology workflows.

