Advances in The Development of Biopharmaceuticals The application of modern technologies and services to the development of Biopharmaceutical processes Dr Jonathan H Dempsey Process Science Fellow Invitrogen Invitrogen PD-Direct BioProcess Services 1
The New Challenges in Biopharmaceutical Development Increased Numbers Reduced Time Decreased Cost s 2
Potential Solutions to these Challenges Automation Platforms Outsourcing 3
Invitrogen s Approach to These Challenges Develop lock and key products to shorten the development cycle. Kits to Simplify Workflows. Innovative products to enhance development projects Offer outsourced services based upon new technologies and products. Cell Line Development Medium and Process Development Develop a Platform For CHO Cell Lines Invest in Automation ClonePix FL Simcell TM Invest in innovative technologies such as Revolution. 4
Technology within the process cgmp banking and testing Released banks Gene Cell & vector development Process development Assay development Scale-up and technology transfer cgmp manufacturing and testing Released drug product 5 5
Examples of Our Approach Development of the Invitrogen CHO Platform and CLD kits. Use of the Simcell for automated Process Development 6
The Invitrogen CHO Platform and cell Line Development Service 7
Molecular biology Vector design and optimisation / Transfection kits GIBCO OptiCHO Antibody / Express Kit Cell lines Pre-adapted DG44 (Stable Expression), HEK293 and CHO-S (Transient Expression) Dedicated serum-free cloning media 2xOptiCHO Cloning medium Custom cloning media Dedicated CD Media CDCHO / CD OptiCHO Feeds for fed-batch CHO CD EfficientFeeds Foamaway TM Invitrogen CHO Platform 8
OptiCHO Antibody Express Kit Contains all of the elements required to construct, clone and produce the vectors Cell line Medium for transfection and selection ( wit and without HT) Protocols 9
Process Flow Construct Vectors Tandem Transfect DG44 Selection with G418 / - HT Amplification with MTX Screening Lead Clone (s) Stability 10
Case Study Generation of Cell Lines Expressing Recombinant IgG Serum and suspension adapted DG44 CHO poptivec vector tandem transfection OptiCHO Antibody Express Kit used for transfection and cloning Serum free transfection and cloning using lipid based transfection reagents. Top forty clones evaluated in a shake flask 11
Cell Line Development using OptiCHO Antibody Express Antibody Expression from a DHFR DG44 CHO 300 Antibody Titre (mg/l) 250 200 150 100 50 0 C62 c202 c174 c207 C16 c210 c187 C80 c110 c159 c203 c201 c209 C122 C71 C121 c188 c185 C143 C102 C56 C117 c145 c175 C105 C103 C106 c161 C104 C2 C72 C41 C70 C109 c205 C144 c200 C79 Well ID Cell pool transfected, selected and amplified. Clones screened by FACS. Top 40 clones isolated. Clones screened in batch in shake-flask culture 9 clones express over 200 mg/l in an unfed shake-flask 12
Enhancing Screening by Process Optimisation Chromos CHOK1 SV Line Expressing IgG Viable Cell Density (cells/ml) 1x10^7 1e+7 Viable Cell Density (cells/ml) 1x10^6 1e+6 0 Unfed Batch CD OptiCHO CD OptiCHO Fed batch 1 CD OptiCHO Fed batch 2 CD OptiCHO rigg CD OptiCHO Fed batch 1 rigg CD OptiCHO Fed batch 2 rigg Feed Protocol 1 Feed Protocol 2 CD OptiCHO Fed Batch Chromos CHO K1 Clone 1 5 Fold improvement in IgG 0 2 4 6 8 10 12 14 Time in Culture (days) Five fold increase in rigg 2 Fold increase in cell density Two fold increase in Peak Cell Density 4000 3000 2000 1000 0 4000 3000 rigg (mg/l) 2000 1000 0 IgG Concentration (mg/l) 13
Response of three cells lines to a Chemically Defined Cloning Medium. 14000 12000 10000 Relative cell number 8000 6000 4000 2000 0 K1 Cell line Clone 2 Clone 1 0 10 20 30 40 50 60 70 Relative response to 55 panel plus 5 control media. Response to Clone 1was used to rate the panel (medium resulting in the lowest to highest proliferation). The other two cell lines were rated based on the Clone 1 response. The two clones respond to the same media in a similar fashion while the third cell line demonstrates a different pattern of response to the same media. Media 14
Application of Simcell to Process Development 15
The Simcell TM MicroBioreactor Array (MBA) 6 MicroBioreactors per array Working volume: 550-700 µl Proprietary gas permeable material Has supported numerous mammalian cell culture types Densities achieved have been up to 2e7 cells/ml Practical densities to ~1.2e7 Air bubble traverses perimeter of MicroBioreactors Creates mixing effect / mass transfer 16
The SimCell System at Invitrogen Incubators Each holds up to 42 MicroBioreactor Arrays T, CO2, O2 and agitation control Sensing module Biomass ph DO / Glucose (in mid-2007) Sampling module Sample removal to well plates Sim-fed batch, Sim-pH corrections Dispensing module Eight pumps for experimental factors Media / Feed delivery Cell Source delivery ph adjustment Miniaturization enables larger, more thorough DoE Finding robust media and process solutions faster 17
CHO IgG Fed Batch Study 4-Factor 2-Level full factorial Cell line ph Feed type Temperature shift CD CHO as production medium 18
CHO IgG Fed Batch Study Feed Feed Temp Shift Batch Shake Flasks 1.20E+07 1.00E+07 Enabling diversity in growth patterns Total Cells / ml 8.00E+06 6.00E+06 4.00E+06 2.00E+06 0.00E+00 0 24 48 72 96 120 144 168 192 216 240 264 Hours Clone A Clone B 19
Increasing Titer via DoE 2-fold increase over batch titer Relatively simple, small design Design-Expert Sof tware Final Titer D- -1.000 D+ 1.000 710 Interaction D: Temp Shift Design-Expert Sof tware Final Titer D- -1.000 D+ 1.000 710 Interaction D: Temp Shift X1 = B: Feed X2 = D: Temp Shift 582.5 X1 = B: Feed X2 = D: Temp Shif t 582.5 Actual Factors A: Cell Line = Line A C: ph = 0.00 Final Titer 455 Actual Factors A: Cell Line = Line B C: ph = 0.00 Final Titer 455 327.5 327.5 200 200 G-G-G 5X CD CHO G-G-G 5X CD CHO B: Feed B: Feed 6 10 factor+ DoE likely to show higher fold-improvement 20
Bench scale comparison Two processes expected to yield differences were simultaneously tested in bioreactors and the Simcell Saw very good agreement in total cell density, Total Cells/mL 1.4E+07 1.2E+07 1.0E+07 8.0E+06 6.0E+06 4.0E+06 2.0E+06 0.0E+00 Cell Growth in Bioreactors and SimCell 0 24 48 72 96 120 144 168 192 216 240 264 Time (hrs) LEAN BrX TCD 37-33C RICH BrX TCD 37-33C LEAN SC 37-33C RICH SC 37-33C 21
Optimising IgG Productivity in SimCell IgG Production Comparison: Bioreactor, SimCell, Flask IgG Production in Three Systems 1600 1200 IgG mg/l 800 400 0 BRx BRx ph Shift SimCell SimCell ph shift Flask Run 1 Flask Run 2 22
Summary and Observations The rapidly evolving field of bioprocess development present new challenges and opportunities. Applying the best ideas and technologies can engender improvements and challenge the status quo A mix of services and products can leverage the best experiences within companies and suppliers. Automation can rapidly enhance biopharmaceutical development. 23
Acknowledgements Invitrogen PD-Direct, Frederick, Maryland Invitrogen PD-Direct, Grand Island, New York State Invitrogen Bioproduction Europe 24