Related Experiment Videos
Quantitative competitive reverse transcription-PCR as a method to evaluate retrovirus removal during chromatography
A S Lau1, Y S Lie, L A Norling
1Genentech, Inc., South San Francisco, CA 94080, USA.
Journal of Biotechnology
|December 20, 1999
Summary
A new quantitative PCR method can measure retrovirus removal during pharmaceutical manufacturing. This technique distinguishes viral inactivation from physical clearance, crucial for ensuring drug safety and product registration.
Area of Science:
- Biotechnology
- Virology
- Pharmaceutical Manufacturing
Background:
- Chinese hamster ovary cells are used for pharmaceutical protein production and express retrovirus-like particles.
- Validating the clearance of these retroviral particles is essential for pharmaceutical product safety and registration.
- Xenotropic murine leukemia virus (X-MuLV) is a common model virus for these validation studies.
Purpose of the Study:
- To develop a method that can quantify both infectious and non-infectious X-MuLV.
- To differentiate viral inactivation from physical removal during chromatography processes.
- To provide a robust tool for validating retroviral clearance in pharmaceutical manufacturing.
Main Methods:
- Development of a quantitative competitive reverse transcription PCR (qRT-PCR) assay.
- Quantification of X-MuLV particle RNA (pRNA) in chromatography pools.
- Comparison of X-MuLV pRNA levels in load and elution pools to determine removal extent.
Main Results:
- The developed qRT-PCR method accurately quantifies X-MuLV particles, regardless of infectivity.
- The method successfully distinguishes between viral inactivation by low pH buffers and physical removal by chromatography.
- It provides a quantitative measure of X-MuLV removal by purification processes.
Conclusions:
- The quantitative PCR method is a powerful tool for assessing retroviral clearance in pharmaceutical manufacturing.
- It complements traditional cell-based infectivity assays by enabling the evaluation of physical removal.
- This method enhances the validation of manufacturing processes for ensuring pharmaceutical product safety.