Activation of Energy Metabolism through Growth Media Reformulation Enables a 24-Hour Workflow for Cell-Free Expression

工作流程 生物制造 无细胞蛋白质合成 合成生物学 生化工程 代谢工程 计算生物学 计算机科学 生物 纳米技术 化学 生物化学 生物技术 工程类 蛋白质生物合成 数据库 材料科学
作者
Max Z. Levine,Byungcheol So,Alissa C. Mullin,Rob Fanter,Kayla Dillard,Katharine R. Watts,Michael R. La Frano,Javin P. Oza
出处
期刊:ACS Synthetic Biology [American Chemical Society]
卷期号:9 (10): 2765-2774 被引量:20
标识
DOI:10.1021/acssynbio.0c00283
摘要

Cell-free protein synthesis (CFPS) platforms have undergone numerous workflow improvements to enable diverse applications in research, biomanufacturing, and education. The Escherichia coli cell extract-based platform has been broadly adopted due to its affordability and versatility. The upstream processing of cells to generate crude cell lysate remains time-intensive and technically nuanced, representing one of the largest sources of cost associated with the biotechnology. To overcome these limitations, we have improved the processes by developing a long-lasting autoinduction media formulation for CFPS that obviates human intervention between inoculation and harvest. The cell-free autoinduction (CFAI) media supports the production of robust cell extracts from high cell density cultures nearing the stationary phase of growth. As a result, the total mass of cells and the resulting extract volume obtained increases by 400% while maintaining robust reaction yields of reporter protein, sfGFP (>1 mg/mL). Notably, the CFAI workflow allows users to go from cells on a streak plate to completing CFPS reactions within 24 h. The CFAI workflow uniquely enabled us to elucidate the metabolic limits in CFPS associated with cells grown to stationary phase in the traditional 2× YTPG media. Metabolomics analysis demonstrates that CFAI-based extracts overcome these limits due to improved energy metabolism and redox balance. The advances reported here shed new light on the metabolism associated with highly active CFPS reactions and inform future efforts to tune the metabolism in CFPS systems. Additionally, we anticipate that the improvements in the time and cost-efficiency of CFPS will increase the simplicity and reproducibility, reducing the barriers for new researchers interested in implementing CFPS.
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