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Gene Therapy Process Analytics
With complex transfection workflows and costly materials, gene therapy demands precision—especially upstream. REBEL® provides fast, at-line media analysis to track nutrients, metabolites, and byproducts in real time. Gain insight into media performance, optimize conditions in real-time, and keep development on track without waiting on offline labs. More control, fewer delays, and greater confidence at every step.
Understanding Gene Therapy Manufacturing Complexities
Viral Vectors in Gene Therapy Manufacturing
Gene therapy is a rapidly developing class of biotherapeutics used to replace, insert, or delete genetic material in patients’ cells to treat or cure previously untreatable diseases, such as inherited retinal disease, spinal muscular atrophy (SMA), and sickle cell anemia.
While there are several methods of delivering genetic material to cells, the use of viral vectors as the delivery system in vivo is the most widely adopted in the industry. The choice of the vector depends on the efficiency of transgene expression, ease of production, and safety.
Common viruses used include Adeno Virus (AV), Adeno-Associated Virus (AAV), Lentivirus (LV), and Retrovirus (RV).
Generation of Genetic Material
Manufacturing of viral vectors is a complex process involving several steps. Typically, it begins with the generation of genetic material to be used for producing the viral vectors. The material used depends on vector type and may include plasmids and helper transducing viruses.
Plasmids (pDNA) are manufactured via fermentation of genetically engineered bacteria, such as the Escherichia coli (E. coli). While this process is generally straightforward, without proper optimization, the plasmid DNA yield, topology, and stability may not be suitable for efficient commercial-scale GMP manufacturing.
Microbial cultures require specialized growth medium as well as careful monitoring and control of critical process parameters (CPPs) during fermentation.
Host Cell Transfection and Vector Generation
The next step involves production of the viral vector in host cells using one of three methods: stable packaging cell lines, helper virus infection, or transient transfection.
Although insect cells, such as Sf9 and other cell types, are sometimes used in production of viral vectors, Human Embryonic Kidney 293 (HEK293) cell lines are the most used to produce viral vectors. HEK293 cells have high transfection efficiency, can produce a variety of different viral vectors (Adeno-associated viruses and Lentiviruses for example) and can be adapted to suspension culture in serum-free medium.
This achieves high cell densities and provides suitable glycosylation patterns for efficient virus replication.
Ensure Process Robustness with Real-Time Monitoring
Real-time monitoring and control of physicochemical variables such as pH, dissolved oxygen, and temperature is well established in cell culture processes but is not sufficient for developing and maintaining an optimized viral vector manufacturing process. Regardless of the bioreactor type or the mode of operation (fed-batch or perfusion), continuous monitoring and real-time process control can help achieve several important objectives in gene therapy manufacturing such as increasing viable cell density, improving viral titer, optimizing transfection, reducing media usage, and reducing toxic by-products.
Real-time monitoring of critical process parameters (CPPs) during cell expansion, transfection and viral vector production enhance process understanding, support development of more robust process models, and enable development and implementation of optimized substrate feeding and media exchange strategies.
Glucose, being the primary energy source for cells, must be maintained at optimal concentration throughout cell culture duration to provide necessary nutrients and avoid cell stress. Cells’ nutrient requirements do not stay constant through the phases of culture and viral vector production. Nutrient requirements vary with the phase of cell growth, affected by transfection and viral vector generation. Without tight glucose control, enabled by continuous monitoring, glucose levels will fluctuate and destabilize cellular metabolism leading to cell stress and negative effect on viral vector production.
Suboptimal glucose levels may lead to variations in vector characteristics such as infectivity, transgene expression levels, and vector stability. Tight control over glucose concentration allows for consistent production of high-quality viral vectors with reproducible properties. Real-time monitoring of glucose helps implement dynamic control of feeding and media exchange which can significantly reduce media and feed usage by as much as 60% without affecting productivity2.
In addition to glucose, lactate is another critical parameter that needs to be continuously monitored. Lactate accumulation can indicate metabolic stress in the cells, which can compromise their ability to produce viral vectors. Additionally, lactate accumulation can lead to decrease of media pH and negatively affect cell growth, viability, as well as the stability of viral vectors produced.
Real-time total biomass measurements, correlated to the total cells counts, is vital for ensuring consistency and efficiency of viral vector manufacturing. Total biomass information can help identify deviations from the expected cell growth trajectories and maintain process parameters within the specified operating ranges. Transfection efficiency, the proportion of cells that successfully uptake the plasmid DNA, is influenced by cell density hence, real-time total cell count information can be used to optimize transfection protocols.
The success of the triple transfection process relies on optimizing key parameters of cell culture and refining the feeding strategy. Critical parameters, such as glucose and lactate, impact cell viability, transfection efficiency, viral vector titer and quality, hence, must be meticulously monitored and controlled during the cell culture process.
[2] Valkama AJ, Leinonen HM, Lipponen EM, Turkki V, Malinen J, Heikura T, Ylä-Herttuala S, Lesch HP. Optimization of lentiviral vector production for scale-up in fixed-bed bioreactor. Gene Therapy. 2018 Jan;25
Ensure Process Robustness with Real-Time Monitoring
Real-time monitoring and control of physicochemical variables such as pH, dissolved oxygen, and temperature is well established in cell culture processes but is not sufficient for developing and maintaining an optimized viral vector manufacturing process. Regardless of the bioreactor type or the mode of operation (fed-batch or perfusion), continuous monitoring and real-time process control can help achieve several important objectives in gene therapy manufacturing such as increasing viable cell density, improving viral titer, optimizing transfection, reducing media usage, and reducing toxic by-products.
Real-time monitoring of critical process parameters (CPPs) during cell expansion, transfection and viral vector production enhance process understanding, support development of more robust process models, and enable development and implementation of optimized substrate feeding and media exchange strategies.
Glucose, being the primary energy source for cells, must be maintained at optimal concentration throughout cell culture duration to provide necessary nutrients and avoid cell stress. Cells’ nutrient requirements do not stay constant through the phases of culture and viral vector production. Nutrient requirements vary with the phase of cell growth, affected by transfection and viral vector generation. Without tight glucose control, enabled by continuous monitoring, glucose levels will fluctuate and destabilize cellular metabolism leading to cell stress and negative effect on viral vector production.
Suboptimal glucose levels may lead to variations in vector characteristics such as infectivity, transgene expression levels, and vector stability. Tight control over glucose concentration allows for consistent production of high-quality viral vectors with reproducible properties. Real-time monitoring of glucose helps implement dynamic control of feeding and media exchange which can significantly reduce media and feed usage by as much as 60% without affecting productivity2.
In addition to glucose, lactate is another critical parameter that needs to be continuously monitored. Lactate accumulation can indicate metabolic stress in the cells, which can compromise their ability to produce viral vectors. Additionally, lactate accumulation can lead to decrease of media pH and negatively affect cell growth, viability, as well as the stability of viral vectors produced.
Real-time total biomass measurements, correlated to the total cells counts, is vital for ensuring consistency and efficiency of viral vector manufacturing. Total biomass information can help identify deviations from the expected cell growth trajectories and maintain process parameters within the specified operating ranges. Transfection efficiency, the proportion of cells that successfully uptake the plasmid DNA, is influenced by cell density hence, real-time total cell count information can be used to optimize transfection protocols.
The success of the triple transfection process relies on optimizing key parameters of cell culture and refining the feeding strategy. Critical parameters, such as glucose and lactate, impact cell viability, transfection efficiency, viral vector titer and quality, hence, must be meticulously monitored and controlled during the cell culture process.
[2] Valkama AJ, Leinonen HM, Lipponen EM, Turkki V, Malinen J, Heikura T, Ylä-Herttuala S, Lesch HP. Optimization of lentiviral vector production for scale-up in fixed-bed bioreactor. Gene Therapy. 2018 Jan;25
Amino acids are critical to cellular function and viability, but different cells may consume them at different rates. Monitoring concentrations of amino acids during cell expansion helps prevent their depletion that may cause a batch failure.
Glucose is the primary energy source and its concentration in the media regulates metabolic pathways and is linked to proliferation, metabolites production, and phenotype expression. Continuous glucose measurement can be used for control of substrate feeding or media exchange pumps.
Excessive accumulation of lactate can inhibit cell growth and decrease cytokine secretion. It can also be used to estimate cell count, predict cell expansion rate, determine optimal harvest time.
Insure that appropriate cell densities are achieved, especially in adherent cell cultures where cell counting is difficult to perform.
Your Choice for Ultimate Monitoring and Control of Viral Vector Production
Our suite of devices provides the data you need, where and when you need it.
Implement Process Analytical Technology (PAT) in Your Cell Therapy Workflows
Historically, automated cell therapy manufacturing systems had limited real-time monitoring capabilities due to lack of robust and compatible process analytical technologies. PATsmart™ MAVEN® and PATsmart™ MAVERICK® are offered with a variety of single-use and reusable process interfaces and multiple analog and digital communication options making integration possible with a number of manufacturing automation systems.
PATsmart™ REBEL® XT At-line Media Analyzer
At-line Analysis for Cell Culture Media
Built on the proven foundation of the award winning PATsmart™ REBEL® analyzer, the PATsmart™ REBEL® XT System continues to challenge the limits of traditional lab testing—delivering the next level of at-line cell culture media analysis with greater reliability, streamlined usability, and tighter analytical performance. Designed for real-world cell culture media process development, it delivers faster, real-time insights into media composition—giving you the data you need, exactly where and when you need it.
PATsmart™ MAVERICK® In-line Critical Process Parameter Monitoring
Process Analytical Technology for In-line Bioprocess Analysis
This easy-to-use process analytical technology device offers in-line bioprocess analysis and control with no complex modeling. Measure multiple critical parameters across media, across processes, across mammalian cell lines, across scales.
PATsmart™ MAVEN® Online Glucose and Lactate Monitoring
Take command of your cell culture process with the PATsmart™ MAVEN® Online Glucose and Lactate Monitoring System. Delivering continuous, sample-free glucose data every 2 minutes, MAVEN automates feeding strategies, reduces variability, and frees your team from manual sampling. Built to integrate seamlessly, it brings precision and efficiency to every run—without disrupting your workflow.