Related Experiment Video
Updated: May 13, 2026
07:48
A High-throughput Automated Platform for the Development of Manufacturing Cell Lines for Protein Therapeutics
Published on: September 22, 2011
22.2K
From bench to biofactory: high-throughput technologies and automated workflows to accelerate biomanufacturing
Christopher J Petzold1, Aindrila Mukhopadhyay2
1Biological Systems & Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Joint BioEnergy Institute, 5885 Hollis Street, Emeryville, CA, USA; Agile BioFoundry, 5885 Hollis Street, Emeryville, CA, USA.
Current Opinion in Biotechnology
|June 12, 2025
Summary
Advancements in microbial production require exploring vast optimization parameters. Automation, AI/ML, and data management are key to accelerating bio-based solutions and scaling engineered microbes for diverse products.
Area of Science:
- Synthetic biology and metabolic engineering for bio-based chemical production.
Background:
- Recent innovations in enzyme engineering, DNA synthesis, and genomic editing have advanced microbial production.
- Significant untapped potential exists in optimizing bio-based processes for a sustainable bioeconomy.
Purpose of the Study:
- To review the current state of microbial production technologies.
- To identify key challenges and propose solutions for optimizing bio-based processes.
- To highlight the role of emerging technologies in accelerating the development of engineered microbes.
Main Methods:
- Review of current literature and technological advancements in microbial production.
- Analysis of challenges in optimizing the parametric space of bio-based processes.
- Discussion of enabling technologies such as automation, high-throughput screening, and data management.
Main Results:
- The vast parametric space of microbial production requires extensive investigation for optimization.
- Automation, high-throughput technologies, and cloud laboratories are crucial for exploring this space.
- Artificial Intelligence/Machine Learning (AI/ML) and mechanistic models are essential for overcoming design challenges.
Conclusions:
- Integrating AI/ML and mechanistic models with advanced automation and data management is critical.
- These integrated approaches will accelerate the development and scale-up of engineered microbes.
- This acceleration is vital for realizing a robust bioeconomy and producing diverse bio-based products.
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