Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells
September 28th, 2018
14.9K views
A detailed protocol for the concurrent operation of 48 parallel cell cultures under varied conditions in a microbioreactor system is presented. Cell culture process, harvest and subsequent antibody titer analysis are described.
Overview
This article presents a detailed protocol for the concurrent operation of 48 parallel cell cultures in a microbioreactor system. It outlines the cell culture process, harvest, and subsequent antibody titer analysis.
Key Study Components
Area of Science
- Cell culture
- Bioprocess manufacturing
- Antibody production
Background
- This method addresses key questions in bioprocess manufacturing.
- It enhances control in shake flasks and allows for automation.
- The technique supports large-scale studies for rapid data generation.
- It is essential for cell line characterization and process optimization.
Purpose of Study
- To demonstrate a protocol for efficient cell culture management.
- To optimize conditions for antibody production.
- To facilitate quick data generation through automation.
Methods Used
- Thawing and culturing CHO cells in a microbioreactor.
- Monitoring dissolved oxygen and pH levels during culture.
- Performing nutrient and metabolite analysis.
- Measuring IgG titers using a protein aid biosensor system.
Main Results
- Successful operation of 48 parallel cultures under varied conditions.
- Quantification of cell culture productivity.
- Daily monitoring of viable cell densities and nutrient profiles.
- Feasibility of the microbioreactor system for bioprocessing.
Conclusions
- The protocol enables efficient and scalable cell culture processes.
- Automation enhances data generation and process optimization.
- Future studies can leverage this method for advanced bioprocessing.
Frequently Asked Questions
What is the main advantage of using a microbioreactor?
Microbioreactors provide greater control and automation for parallel cell culture studies.
How are cell viability and density monitored?
Using an integrated cell counter and daily assessments during culture.
What type of cells are cultured in this protocol?
Chinese Hamster Ovary (CHO) cells are used for antibody production.
What parameters are controlled in the microbioreactor?
Temperature, stirring speed, dissolved oxygen, and pH levels are monitored and adjusted.
How is antibody titer analyzed?
Using a protein aid biosensor system after harvesting the cell culture fluid.
What is the significance of this study?
It demonstrates a scalable method for optimizing bioprocesses in cell culture.
Executive Industry Relevance
High-throughput automated microbioreactor systems enable parallel testing of bioprocess conditions, accelerating upstream process optimization for therapeutic protein production. By integrating real-time monitoring and automation, these platforms reduce experimental variability and support data-driven decision-making in early development. This approach enhances predictive confidence in cell line performance and process robustness before scale-up.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Scientific Value: Enables interrogation of cell line productivity and stability under varied culture conditions.
- Operational Value: Supports rapid generation of comparative data for clone screening and media optimization.
Screening & Assay Development
- Scientific Value: Facilitates standardized, reproducible cultivation of CHO cells for consistent product quality assessment.
- Operational Value: Allows high-throughput sampling and analysis of nutrient metabolites and IgG titers across multiple conditions.
Translational & Preclinical Research
- Scientific Value: Provides early insights into process scalability and product consistency relevant to preclinical manufacturing.
- Operational Value: Enables risk-adjusted advancement decisions by identifying optimal culture parameters early in development.
Pipeline & Workflow Integration
The method integrates into discovery biology through cell line characterization, supports screening via parallel condition testing, and feeds analytics through daily viability and titer measurements.
- Discovery Biology: Enables hypothesis testing of culture conditions on cell growth and antibody productivity.
- Screening: Supports assay readiness through standardized, automated cultivation of CHO cells in microscale bioreactors.
- Analytics: Generates quantitative outputs including viable cell density, nutrient profiles, and IgG titers for comparative analysis.
- Translational Research: Connects early process optimization to preclinical continuity by establishing robust, reproducible culture parameters.
- Enterprise Reuse: Establishes a reusable platform for ongoing process development and media/formulation screening across projects.
Operational & Enterprise Impact
- Scientific Value: Predictive confidence in cell line performance and reduction of process-related variability.
- Operational Value: Standardization, reproducibility, and scalability of upstream bioprocessing workflows.
- Strategic Value: Improved go/no-go decisions, capital efficiency, and reduced late-stage biological risk through early de-risking.
- Portfolio Impact: Risk-adjusted prioritization of cell lines and culture conditions based on quantitative productivity data.
Implementation Considerations
- Requires expertise in cell culture automation, bioprocess control, and software programming.
- Dependent on microbioreactor hardware, integrated nutrient analyzers, and protein biosensor systems.
- Necessitates cross-team standardization of protocols, data formats, and environmental controls.
- Involves adaptation considerations for different cell lines, culture volumes, and analytical endpoints.
- Limited by minimum operating volumes (10 mL), constraining sample frequency in batch mode.
Biopharma FAQs
Why does monitoring dissolved oxygen and pH matter for cell line characterization?
Monitoring dissolved oxygen and pH ensures consistent culture conditions across parallel bioreactors, which is critical for accurate assessment of cell growth and productivity. Stable environmental control reduces variability and improves data reliability for clone screening and process optimization.
How does automated medium charging fit into the discovery pipeline?
Automated medium charging ensures precise and reproducible initiation of culture conditions across all vessels, minimizing manual handling errors. This supports high-throughput experimental design by enabling consistent comparison of variables such as media formulations and supplements.
What do daily nutrient and metabolite measurements enable in bioprocess development?
Daily nutrient and metabolite analysis provides real-time insights into cellular metabolism and culture health, allowing early detection of metabolic shifts or limitations. These measurements support feed strategy optimization and help maintain optimal conditions for antibody production.
Why are replication requirements important for cross-functional collaboration?
Running multiple replicates under identical conditions increases statistical confidence in observed differences between experimental groups. This reproducibility enables reliable data sharing between process development, analytical, and biology teams for informed decision-making.
What statistical analysis capabilities are required before implementing this system?
Implementation requires the ability to analyze variability across parallel cultures, assess significance of condition effects, and interpret trends in growth and titer data. Statistical tools are essential to distinguish meaningful biological responses from noise in high-throughput datasets.
Chapters in this video
0:04
Title
0:46
Seed Train Expansion and Automated Microbioreactor System Preparation
2:55
Automated Microbioreactor Software Initiation
5:15
System Shutdown
5:58
Cell Culture Harvest and IgG Titer Measurement
7:04
Results: Representative High-Throughput Automated Microbioreactor Analyses
7:38
Conclusion
