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A High-throughput Automated Platform for the Development of Manufacturing Cell Lines for Protein Therapeutics
Published on: September 22, 2011
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Application of a High Throughput and Automated Workflow to Therapeutic Protein Formulation Development
Cindy D Ren1, Wei Qi1, Emily A Wyatt1
1Amgen Inc., 1 Amgen Center Drive, Thousand Oaks, California 91320.
Journal of Pharmaceutical Sciences
|November 18, 2020
Summary
This study introduces a high throughput (HT) formulation workflow for therapeutic proteins, enabling efficient screening at high concentrations. The new method significantly reduces hands-on and run times, accelerating drug product development.
Area of Science:
- Biopharmaceutical Formulation
- High Throughput Screening
- Protein Drug Development
Background:
- Efficient formulation development is crucial for competitive therapeutic protein markets.
- Conventional high throughput methods are limited to low protein concentrations, unsuitable for late-stage development.
Purpose of the Study:
- To present a high throughput (HT) formulation workflow for screening therapeutic proteins at representative concentrations.
- To demonstrate the workflow's efficiency and applicability in formulation design space expansion.
Main Methods:
- Integration of a micro-buffer exchange system with automated analytical instruments.
- Utilized size exclusion chromatography (SEC) and capillary electrophoresis (CEX) for stability profiling.
- Compared HT workflow results with traditional ultrafiltration/diafiltration methods.
Main Results:
- The HT workflow enables screening at representative protein concentrations.
- Achieved over 70% reduction in hands-on time and 30% in run time.
- HT workflow results showed good agreement with ultrafiltration/diafiltration methods.
Conclusions:
- The developed HT workflow is fit for purpose for biopharmaceutical formulation development.
- This approach accelerates the characterization of an expanded formulation design space.
- Successfully applied in case studies for viscosity and stability screening and mimic solution selection.

