Process for creating reference data for predicting concentrations of quality attributes

Patent metadata

Field	Value
Publication number	US-11568955-B2
Application number	US-201916546843-A
Country	US
Kind code	B2
Filing date	Aug 21, 2019
Priority date	Aug 21, 2018
Publication date	Jan 31, 2023
Grant date	Jan 31, 2023

Abstract

A process and system for efficiently producing reference data that can be fed into a predictive model for predicting quality attribute concentrations in cell culture processes. A perfusion bioreactor is operated at pseudo-steady-state conditions and one or more attribute influencing parameters are manipulated and changed over time. As the one or more attribute influencing parameters are manipulated, one or more quality attributes are monitored and measured. In one embodiment, multiple quality attributes are monitored and measured in parallel. The quality attribute information is recorded in conjunction with the changes in the attribute influencing parameters. This information is then fed to the predictive model for propagating cell cultures in commercial processes and maintaining the cell cultures within desired preset limits.

First claim

What is claimed:

1. A process for creating reference data for predicting quality attribute values in a cell culture comprising;
introducing a cell culture into a perfusion bioreactor;
feeding a nutrient media to the perfusion bioreactor and withdrawing fluid media from the perfusion bioreactor;
controlling a plurality of attribute influencing parameters in the perfusion bioreactor, the plurality of attribute influencing parameters having an impact on at least a first quality attribute in the cell culture, the plurality of attribute influencing parameters being controlled in the perfusion bioreactor in a manner so that the plurality of attribute influencing parameters in the perfusion bioreactor vary over time;
determining a quantity of the first quality attribute over time in the cell culture as the plurality of attribute influencing parameters are changed;
determining a quantity of a second quality attribute over time in the cell culture also as the plurality of attribute influencing parameters are changed; and
wherein a first attribute influencing parameter and a second attribute influencing parameter are changed within the perfusion bioreactor in a step wise manner;
wherein after each step wise change of the first attribute influencing parameter, the first quality attribute attains steady state within the perfusion bioreactor before a further step wise change is made and wherein after each step wise change of the second attribute influencing parameter, the second quality attribute attains steady state within the perfusion bioreactor before a further steep wise change is made;
wherein the determined quantity of the first quality attribute over time and the determined second quality attribute quantity over time comprise reference data and wherein the process further comprises collecting the reference data in a manner so that the reference data is configured to be inputted into a controller that predicts future quantities of the first and second quality attributes over time in a downstream cell culture process,
wherein the first and second quality attributes are selected from the group consisting of lactate, protein, glycan, a charge variant, an aggregate, disulfide oxidation, fragmentation, disulfide reduction, methionine oxidation, lysine variant, bispecific monoclonal antibody heterology, sequence variant, un-coded amino acid substitution, ammonia, viable cell density, cell size, cell viability, alanine, glutamine, and a disulfide shuffling variant,
wherein the plurality of attribute influencing parameters are selected from the group consisting of pH, glutamate concentration, glucose concentration, asparagine concentration, temperature, mannose concentration, galactose concentration, N-acetyl mannosamine concentration, sucrose concentration, lysine concentration, methionine concentration, serine concentration, lipid concentration, vitamin concentration, manganese concentration, copper concentration, iron concentration, selenium concentration, dissolved oxygen, applied shear rate and nutrient feed rate.

2. The process as defined in claim 1 , comprising the steps of: controlling at least three attribute influencing parameters in the perfusion bioreactor, the at least three attribute influencing parameters having an impact on the second quality attribute in the cell culture, the at least three attribute influencing parameters being controlled in the perfusion bioreactor in a manner so that at least three attribute influencing parameters in the bioreactor vary over time,
wherein after each step wise change of a third attribute influencing parameter, a third quality attribute attains steady state within the perfusion bioreactor before a further step wise change is made.

3. The process as defined in claim 1 , wherein the quantity of the first quality attribute and the quantity of the second quality attribute are determined simultaneously.

4. The process as defined in claim 1 , wherein the reference data is configured to be inputted into a predictive model, the predictive model using the reference data to determine future concentrations of the first and second quality attributes in a second bioreactor of a downstream cell culture process.

5. The process as defined in claim 4 , wherein the cell culture is propagated in a batch process.

6. The process as defined in claim 2 , wherein the at least three attribute influencing parameters are fed to the perfusion bioreactor simultaneously.

7. The process as defined in claim 1 , wherein the cell culture in the perfusion bioreactor has a cell density and wherein the cell density remains constant during the process.

8. The process as defined in claim 1 , wherein the volume within the perfusion bioreactor remains constant during the process.

9. The process as defined in claim 1 , wherein the reference data are collected during a period of time less than 48 hours from the perfusion bioreactor.

10. The process as defined in claim 2 , wherein the at least three attribute influencing parameters are changed within the perfusion bioreactor in a sinusoidal manner.

11. The process as defined in claim 4 , further comprising the steps of: determining a quantity of at least the first quality attribute in a cell culture; sending the quality attribute quantity to a controller, the controller including the predictive model that determines a future quantity of the quality attribute in the cell culture; and selectively changing at least one condition within the cell culture based upon the determined future quantity of the quality attribute in the cell culture for maintaining the quality attribute quantity within preset limits.

12. The process as defined in claim 11 , wherein the cell culture is propagated in a batch process.

13. The process as defined in claim 1 , wherein the cell culture comprises mammalian cells.

14. The process as defined in claim 1 , wherein at least the first quality attribute is lactate, glycan, a charge variant, disulfide oxidation, disulfide reduction, methionine oxidation, lysine variant, ammonia, viable cell density, cell size, cell viability, alanine, glutamine, or a disulfide shuffling variant.

15. The process as defined in claim 1 , wherein the plurality of attribute influencing parameters are pH, glutamate concentration, glucose concentration, asparagine concentration, temperature, mannose concentration, galactose concentration, N-acetyl mannosamine concentration, sucrose concentration, lysine concentration, methionine concentration, serine concentration, lipid concentration, vitamin concentration, manganese concentration, dissolved oxygen, or nutrient feed rate.

16. The process as defined in claim 1 , wherein the determined quantity of the first quality attribute over time comprises a concentration of the first quality attribute over time and wherein the determined quantity of the second quality attribute over time comprises the concentration of the second quality attribute over time.

17. A process for creating reference data for predicting quality attribute values in a cell culture comprising;
introducing a cell culture into a perfusion bioreactor;
feeding a nutrient media to the perfusion bioreactor and withdrawing fluid media from the perfusion bioreactor;
controlling a plurality of attribute influencing parameters in the perfusion bioreactor, the plurality of attribute influencing parameters having an impact on at least a first quality attribute in the cell culture, the plurality of attribute influencing parameters being controlled in the perfusion bioreactor in a manner so that the plurality of attribute influencing param

Assignees

• Lonza Ag

Inventors

• Downey Brandon John
• Schmitt John Michael
• Breit Jeffrey Francis

Classifications

• G16B40/00

  ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding · CPC title

• G16B5/00 Primary

  ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks · CPC title

• B01L2300/0867

  Multiple inlets and one sample wells, e.g. mixing, dilution · CPC title

• G05B13/048

  using a predictor · CPC title

• B01L2400/082

  Active control of flow resistance, e.g. flow controllers · CPC title