Related Experiment Video
Updated: Jun 21, 2025
07:04
Optimization of In vitro Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring
Published on: April 4, 2025
307
Quality by design approach to improve quality and decrease cost of in vitro transcription of mRNA using design of
Jimmy Boman1, Tjaša Marušič2,3, Tina Vodopivec Seravalli2
1Sartorius Stedim Data Analytics AB, Umeå, Sweden.
Biotechnology and Bioengineering
|July 17, 2024
Summary
Optimizing in vitro transcription (IVT) reagents using a data-driven model significantly reduced mRNA production costs by 44%. This method doubled the highest reported IVT yield to 24.9 g/L, improving cost efficiency.
Area of Science:
- Biotechnology
- Molecular Biology
- Process Chemistry
Background:
- In vitro transcription (IVT) is a key process for messenger RNA (mRNA) production, but its high cost necessitates reagent optimization.
- The multi-factorial nature of IVT reactions presents a challenge for traditional optimization methods.
- Minimizing double-stranded RNA (dsRNA) is crucial for mRNA product quality.
Purpose of the Study:
- To develop a data-driven model for optimizing IVT reactions.
- To identify key factors influencing IVT yield and cost-efficiency.
- To maximize IVT yield and minimize dsRNA formation.
Main Methods:
- Utilized a design-of-experiment approach to model the IVT reaction.
- Analyzed the impact of nucleoside triphosphate (NTP) concentration and Mg:NTP ratio on yield.
- Optimized RNA polymerase and DNA template concentrations to reduce costs.
Main Results:
- Achieved a 44% improvement in cost efficiency through an optimized reaction design.
- Demonstrated model validity across mRNA constructs of varying lengths.
- Maximized IVT batch yield to 24.9 ± 1.5 g/L, a twofold increase over previous reports.
Conclusions:
- A data-driven modeling approach effectively optimizes IVT reactions for cost and yield.
- The developed methodology significantly enhances mRNA drug substance production efficiency.
- This work establishes a new benchmark for IVT yield and cost-effectiveness.
