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Optimizing the Quality and Accuracy of
Biopharmaceutical Analysis and Characterization
Broadcast Date: Tuesday, February 19, 2013
Time: 11AM EST, 8AM PST
Sponsored by
Optimizing the Quality and Accuracy of
Biopharmaceutical Analysis and Characterization
Optimizing the Quality and Accuracy of
Biopharmaceutical Analysis and Characterization
Your Moderator
Tamlyn Oliver Managing Editor
Genetic Engineering & Biotechnology News
Optimizing the Quality and Accuracy of
Biopharmaceutical Analysis and Characterization
Galahad Deperalta Scientist
Protein Analytical Chemistry
Genentech
Ion Exchange Chromatography (IEC) of
Therapeutic Antibodies (mAbs):
Experiences Working With a
Bio-inert/Bio-compatible HPLC
Galahad Deperalta
Scientist, Protein Analytical Chemistry
Genentech, A Member of the Roche Group
GEN Webinar
February 19, 2013
Slide 5 Presentation Outline
• Brief introduction on therapeutic antibodies (mAb) and heterogeneity
• Brief overview on Ion-exchange Chromatography (IEC) as tool to monitor
charge heterogeneity
• Working with a Bio-Inert HPLC system for IEC analysis: Case Study mAb #1
• Working with a Bio-Inert HPLC system for IEC analysis: Case Study mAb #2
• Summary
• Acknowledgements
Slide 6 2/12/2013 Therapeutic monoclonal antibodies (mAbs)
• Recombinant monoclonal antibodies (mAbs) have become widely accepted therapies for
various forms of cancer and immunologic diseases.
• Post-translational modifications (PTMs), introduced at various points of the manufacturing
process or during storage, add heterogeneity to the mAb.
• PTMs such as glycosylation, deamidation, oxidation, isomerization, aggregation and other
product-related variants may affect the mAb’s efficacy, stability, and safety profile. To better
understand and control the levels of these variants, it’s important to monitor and
characterize them during the course of development and manufacturing.
• PTM’s can affect the surface charge of the mAb. Thus, such product-related variants can
be monitored by methods (such as IEC) that resolve on the basis of surface charge
differentiation.
• Elucidating the charge heterogeneity of a therapeutic mAb is an important aspect of
determining its purity.
Slide 6
Slide 7 2/12/2013 IgG structure and common charge variants Slide 7
Racacniello, V., “Antibody .“ Diagram . Virology Blog 22 Jul 2009
<http://www.virology.ws/2009/07/22/adaptive-immune-defenses-
antibodies/>
Example of modifications that typically
elute as acidic variants
Examples of modifications that typically
elute as basic variants
Deamidation, Glycation,
Glycosylation, High mannose,
Sialylation, Fragments, Cysteinylation,
Carbamylation
Oxidation, Isomerization, Succinimide,
Amidation, Aglycosylation, Fragments,
Aggregates, Incomplete removal of
leader sequence, C-terminal lysine
Slide 8 2/12/2013 Monitoring mAb charge variants by Ion-Exchange Chromatography (IEC)
Slide 8
• EMA: Guideline on Development, Production, Characterization and Specifications for
Monoclonal Antibodies and Related Products
Section 4.3.4: “In addition, suitable methods should be proposed to qualitatively and
quantitatively analyse heterogeneity related to charge variants.”
Section 4.4.2: “…separation methods based on charge heterogeneity should be considered to
quantitatively and qualitatively monitor charge variants.”
• Analytical methods that can be employed to elucidate charge-related heterogeneity in
therapeutic mAbs include isoelectric focusing (IEF), imaged capillary isoelectric focusing
(icIEF), and ion-exchange chromatography (IEC).
• Benefits of IEC: Relatively simple to enrich/isolate charge variants for further, extended
characterization studies.
• Two types of IEC can be used: Cation-exchange chromatography (CEX) or Anion-exchange
chromatography (AEX). Focus of this presentation will be on CEX.
Slide 9 2/12/2013 Monitoring mAb charge variants by IEC: Focus on Cation-Exchange Chromatography (CEX)
Slide 9
• CEX widely used since many therapeutic mAbs have a basic isoelectric point. mAbs are
retained on CEX by interaction of their His, Lys, and Arg residues with the negatively
charged resin of the column. mAbs can be eluted off the column by increasing the salt
concentration (salt-based gradient) or the pH (pH gradient) of the mobile phase.
• In CEX, acidic species/variants elute earlier than the main peak, basic species/variants
elute after the main peak.
• Column commonly used for CEX analysis of therapeutic mAbs: Dionex ProPac WCX-10
(WCX: weak cation exchanger)
• ProPac WCX-10 column “has become the gold standard for antibody analysis.” (Vlasak and
Ionescu, 2008)
• Mobile phase, mobile phase pH, salt concentration and gradient, column temperature need
to be optimized for each therapeutic mAb.
• Traditionally, we have run CEX methods, using the Dionex WCX column, on Agilent
1100/1200 or Waters 2690/2695/2796 HPLC systems.
Slide 10 2/12/2013 Potential issues of salt-based IEC methods run on stainless steel HPLC systems
• Some risks involved with using traditional stainless steel-based HPLC systems.
• Long-term use of high salt mobile phases can lead to corrosion of metal components.
• Metal complexes can form from corroded components and leach onto the IEC column,
ultimately leading to a degradation of column performance (e.g loss of resolution, baseline
instability, etc.).
• Chelation of the mAb by the metals leached onto the column can lead to secondary
interactions and subsequent peak tailing. Contact of the mAb with corroded surfaces in the
flow path can also lead to chelation.
• Adsorption of analytes/proteins onto corroded or rusted surfaces is also possible.
• Corrosion of metal components can also ultimately damage the HPLC instrument itself.
• System contamination by microorganisms is also a concern when constantly running high salt
mobile phases.
Slide 10
Slide 11 2/12/2013 Assessment of Bio-Inert HPLC systems
• Collaboration with Agilent began in 2008 to evaluate a bio-inert HPLC system for improved
biotherapeutic applications. Goal was to evaluate the benefits of an HPLC system with
corrosion-proof components for salt-based chromatography methods.
• From 2008-2009, a prototype 1200 BioLC system with an all titanium flow path was assessed
at Genentech for IEC applications.
• Positive results observed in terms of maintenance of baseline stability and prolonging IEC
column lifetimes. Several therapeutic mAbs were tested on the system.
Slide 11
2/12/2013 Assessment of Bio-Inert HPLC systems
• In 2010, collaboration with Agilent extended to assessing a pre-production model of the 1260
Infinity Bio-Inert Quaternary HPLC.
• General strategy for assessment: Challenge the system by running long sequences of salt-
based gradient IEC/CEX methods. Baselines, peak resolution/profiles, peak quantitation
monitored over the course of the sequence.
• mAb IEC methods that were known to be problematic (unstable baselines, subsequent
inconsistent profiles and quantitation) on non-Bio-inert HPLC’s were targeted for assessment
on the Agilent 1260.
• Case studies from two mAb’s weak cation-exchange (WCX) chromatography methods will be
presented here.
Slide 12
• 100% bio-inert
• Samples do not touch metal surfaces
• No stainless steel in the mobile phase flow path
• New capillary technology (PEEK tubing encased
in stainless steel)
• High corrosion resistance
• Titanium-based pump
• Metal-free detector flow cell
Slide 13
2/12/2013
Case Study mAb #1 IEC analysis
• IgG1 therapeutic mAb
• Column: Dionex ProPac WCX-10 4x250mm
• Mobile Phase A: MES buffer, Mobile Phase B: NaCl in A (linear gradient)
Representative Agilent 1100 chromatogram
mAb #1 IEC profile problems on SS-based HPLC:
Repeat sample injection #1 vs #37 in a long sequence
Anomalous peaks grow as
sequence progresses
Slide 14
Acidic region Basic region
Main Peak
Red trace: Sample injection #1
Blue trace: Sample injection #37
mAb #1 IEC problems on SS-based HPLC:
baseline instability Slide 15
• Baseline instability causes problems with consistent integration
• Higher risk of failing system suitability quantitative criteria
Acidic region
Basic region
Main Peak
mAb #1 IEC problems on SS-based HPLC: Example of a test session failure
Acidic:25.7 %
Main: 65.4%
Basic: 8.9%
Acidic:21.8 %
Main: 65.2%
Basic: 13.0%
Reference:
DR5904-1
Slide 16
N= 31 independent QC test sessions
Number of times both bracketing
Reference Material injections within
the same sequence did not pass
quantitative system suitability
criteria: 5 out of 31 test sessions
Failure rate : (~16 %)
First bracketing Reference Material
Second bracketing Reference Material
Sample Injection # 1
Sample Injection # 21
Slide 17 Mab #1 IEC on prototype Agilent 1200 BioLC: Example of a long sample sequence run
• IEC baseline and profiles appear
more consistent over the course of
the sequence.
• Anomalous peaks not observed to
grow over the course of the
sequence.
Mab #1 IEC on the Agilent Bio-Inert 1260: Example of a very long sample sequence run
mA
U
0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0 27.5 30.0 32.5 35.0 37.5 40.0 42.5 45.0 47.5 50.0 52.5 55.0 57.5 60.0 62.5 65.0 67.5 70.0 -50
0
50
100
150
200
250
300
350
400
450
500
min
Run #44
Run #35
Run #24
Run #13
Run #2
Blank #1
Mobile Phase A: MES buffer
Mobile Phase B: NaCl in A
Column: Dionex ProPac WCX-10 4 x 250 mm
mA
U
0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0 27.5 30.0 32.5 35.0 37.5 40.0 42.5 45.0 47.5 50.0 52.5 55.0 57.5 60.0 62.5 65.0 67.5 70.0 -50
0
50
100
150
200
250
300
350
400
min
Blank #12
Blank #23
Blank #34
Blank #45
Run #44
Slide 18
Formulation blank injections
throughout the sequence
Aaron Wecksler
Acidic Region
Main Peak
Basic Region
0.1 1.3 2.5 3.8 5.0 6.3 7.5 8.8 10.0 11.3 12.5 13.8 15.0 16.3 17.5 18.8 20.0 21.3 22.5 23.8 25.0 26.3 27.5 28.8 30.0 31.3 32.5 33.8 35.1 -49
-25
0
25
50
75
100
125
150
175
200
225
250
Acidic Region
Main Peak
Basic Region
Formulation Blank
Mab #1 IEC Trace
mA
U
min
% Acid
Region % Main Peak
% Basic
Region
Average ± STD
(%RSD)
N=40
19.8 ± 0.4
(2.1%)
76.7 ± 0.5
(0.6%)
3.5 ± 0.2
(5.9%)
Slide 19 mAb #1 IEC on the Agilent Bio-Inert 1260
Comparison of mAb #1 IEC runs on the Agilent Bio-Inert 1260 to
previous/historical IEC runs on non-Bio-Inert HPLCs:
• Stable baselines and consistent profiles maintained over long sequence runs.
• Anomalous peaks not associated with the protein are not observed.
• Consistent quantitative data, system suitability criteria consistently passed.
• Useable column lifetimes appear to be extended.
Aaron Wecksler
Slide 20 Case Study mAb #2 IEC analysis
• IgG1 therapeutic mAb
• Column: Dionex ProPac WCX-10 4x250mm
• Mobile Phase A: ACES buffer , Mobile Phase B: NaCl in A (linear gradient)
Representative Waters 2690/2695 chromatogram
Example of an acceptable baseline for mAb #2 IEC
(Formulation buffer blank injection)
Normal baseline, no unusual or drastic humps
within the expected protein elution region
Slide 21
Jeannie Kwong and Armando Cordoba
Chromatogram from a SS-based HPLC
Example of an acceptable profile and integration for mAb #2 IEC
Chromatogram from a SS-based HPLC
• Acceptable (“normal”) baseline and product profile
• Meets quantitative system suitability criteria
Slide 22
Acidic region
Basic region
Main Peak
Jeannie Kwong and Armando Cordoba
Example of poor or unacceptable baseline for mAb #2 IEC
(Formulation buffer blank injection)
Pronounced Baseline hump affects integration
Slide 23
Jeannie Kwong and Armando Cordoba
This peak increases
over the course of a
sequence
This peak increases over the
course of a sequence
Chromatogram from a SS-based HPLC
Example of unacceptable profile and integration for mAb #2 IEC
This peak increases
over the course of a
sequence
This peak increases over the
course of a sequence
Sample does not pass system suitability
(integration affected by baseline hump)
Slide 24
Jeannie Kwong and Armando Cordoba
Chromatogram from a SS-based HPLC
0.2 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.0 34.0 36.0 38.0 40.0 42.0 44.0 46.0 48.0 50.0 52.0 54.0 56.0 58.0 60.0 62.8
-1.9
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
16.0
18.0
20.0
22.0
24.0
26.0
29.2
1 - AVEGFIEC060311JK_LAURENF20 #5 [modified by kwongj1] Avastin ref mat (408-3) UV_VIS_1
2 - AVEGFIEC060311JK_LAURENF20 #14 Avastin ref mat (408-3) UV_VIS_1
3 - AVEGFIEC060311JK_LAURENF20 #21 Avastin ref mat (408-3) UV_VIS_1
4 - AVEGFIEC060311JK_LAURENF20 #28 Avastin ref mat (408-3) UV_VIS_1
5 - AVEGFIEC060311JK_LAURENF20 #29 Form buffer blank UV_VIS_1mAU
min
5
4
3
2
1
WVL:280 nm
Example of mAb #2 IEC long sequence with poor baseline and profiles (run on a SS-based HPLC)
Formulation blank, injection #29
Ref mat injection #21
Ref mat injection #5
Ref mat injection #28
Ref mat injection #14
Slide 25
Jeannie Kwong and Armando Cordoba
• IEC profiles become progressively worse
• Quantitative system suitability criteria not met
Slide 26
Time consuming passivation or cleaning procedures instituted between or within
IEC sequence runs of mAb #2 run on non-Bio-inert HPLC’s (procedure provided by
Agilent):
1) 30% Phosphoric Acid at 3ml/min for 20 min. (and/or 6N nitric acid 60ml)
2) 0.5M NaOH at 1ml/min for 4 hours
3) MilliQ H2O at 5ml/min for 4 hours
4) 40mM EDTA at 5ml/min for 3 hours
5) MilliQ H2O at 5ml/min for 4 hours
Also tried adding a wash step by running 0.5N NaOH for ~5 minutes through the
column at the end of each injection. Baseline integrity would temporarily be
restored, but it was observed that some basic peaks would sometimes be lost.
The passivation and cleaning procedure were only temporary solutions, as the
baselines would eventually become unacceptable again as IEC sequences of Mab
#2 continued to be run on these non-Bio-inert HPLC’s. Baseline problems were
reproducible using different Dionex WCX-10 columns and lots, and on different
HPLC instruments.
Jeannie Kwong
Passivation and cleaning procedures attempted in order to restore baseline integrity for mAb # 2 IEC
Example of mAb #2 IEC sequence run on the Agilent Bio-Inert 1260
1.7 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.0 34.0 36.0 38.0 40.0 42.0 44.0 46.0 48.0 50.0 52.0 54.0 56.0 58.0 60.0 62.5
-2.5
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
16.0
18.0
20.0
22.0
25.0
1 - AvastinIEC062612JK_Lauren18 / Form buffer blank / #22 DAD1_A__Sig_280_8_Ref_360_100
2 - AvastinIEC062612JK_Lauren18 / Avastin Ref Mat 408-3 / #1 [modified by kwongj1] DAD1_A__Sig_280_8_Ref_360_100
3 - AvastinIEC062612JK_Lauren18 / Avastin Ref Mat 408-3 / #10 [modified by kwongj1] DAD1_A__Sig_280_8_Ref_360_100
4 - AvastinIEC062612JK_Lauren18 / Avastin Ref Mat 408-3 / #21 [modified by kwongj1] DAD1_A__Sig_280_8_Ref_360_100mAU
min
4
3
2
1
Formulation blank
Ref mat injection #21
Ref mat injection #10
Ref mat injection #1
Slide 27
Jeannie Kwong and Armando Cordoba
• IEC baseline and profiles maintain
consistency over the course of a long
sequence.
• No anomalous baseline humps observed.
• Quantitative system suitability criteria met for
all bracketing Reference Material samples.
Acidic Region
Basic Region
Main Peak
mAb #2 IEC sequence on the Agilent Bio-Inert 1260: Analyst 1 using Dionex column 1
-0.1 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.0 34.0 36.0 38.0 40.0 42.0 44.0 46.0 48.0 50.1 -40
-20
0
20
40
60
80
100
120
140
160
180
196
mA
U
min
Acidic Region
Main Peak
Basic Region
Ref Mat injection #14
Ref Mat injection #1
Formulation Blank
Slide 28
Aaron Wecksler
• IEC baseline and profiles maintained consistency over the course of a long sequence.
• Quantitative system suitability criteria met for bracketing Reference Material samples.
% Acid
Region
% Main
Peak
% Basic
Region
Ref Mat
%RSD
N=5
25.9 ± 1.2
(4.6%)
69.4 ± 0.6
(0.9%)
4.1 ± 0.3
(6.1%)
-0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.0 34.0 36.0 38.0 40.0 42.0 44.0 46.0 48.0 49.8 -47
-25
0
25
50
75
100
125
150
175
200
225
250
mA
U
min
Ref Mat Run #3
Ref Mat Run #2
Formulation Buffer
Ref Mat Run #10
Slide 29 mAb #2 IEC sequence on the Agilent Bio-Inert 1260: Analyst 2 using Dionex column 2
• Stable baselines and consistent profiles maintained over long sequence runs.
• No anomalous peaks in the baseline are observed.
• Consistent quantitative data, system suitability criteria consistently passed.
Jeannie Kwong
Acidic Region
Main Peak
Basic Region
mAb #2 pH gradient IEC test sequence run on the Agilent Bio-Inert 1260
0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.0 34.0 36.0 38.0 40.0 42.0 44.0 46.0 48.0 50.0 -20
0
20
40
60
80
100
120
140
160
180
200
220
min
mA
U
Ref Mat injection #18
Ref Mat injection #6
Ref Mat injection #1
Formulation Blank
Mobile Phase A: Tris/Imidazole/Piperazine, pH 6.0
Mobile Phase B: Tris/Imidazole/Piperazine, pH 9.5
Column: Dionex ProPac WCX-10 4 x 250 mm
% Acid
Region % Main Peak
% Basic
Region
Ref Mat
N=3
24.2 ± 1.5
(6.3%)
63.4 ± 2.6
(4.0%)
12.6 ± 1.0
(8.0%)
0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.0 34.0 36.0 38.0 40.0 42.0 44.0 46.0 48.0 50.0 -30
0
20
40
60
80
100
120
140
160
mA
U
min
Acidic Region
Main Peak
Basic Region
Mab #2 pH Gradient Trace
Formulation Blank
Slide 30
• pH gradient IEC baseline and profiles
maintained consistency over the course of a
long sequence.
Slide 31 2/12/2013 Summary
• Collaboration with Agilent over the past few years has led to assessments of Bio-inert HPLC systems for
the chromatographic charge variant analysis of therapeutic mAbs.
• Two mAbs, with salt-based IEC/CEX methods that utilize Dionex ProPac WCX-10 columns, that have
shown to be problematic on stainless steel HPLC systems were evaluated on the Agilent Bio-Inert 1260.
The issues previously observed with these methods included baseline instability (anomalous humps or
peaks, baseline drifts or shifts), inconsistent resolution, and inconsistent quantitation that result in failed
system suitability criteria.
• Positive results were observed in both case study mAbs’ IEC methods on the Agilent Bio-Inert 1260.
• Over the course of long IEC sequence runs on the Bio-Inert system, baseline integrity was maintained (as
monitored by formulation blank injections). The chromatographic profiles and resolution remained
consistent, and quantitative system suitability criteria were consistently met.
• No cleaning or passivation methods were needed to maintain the positive results.
• Data from multiple sequence runs of mAb #1 and mAb #2 suggest that useful column life may be extended
with the use of a Bio-Inert system.
• Future assessments on the Agilent Bio-Inert 1260 : UHPLC IEC and SEC method evaluation, additional pH
gradient IEC method runs (wish list: in-line pH or conductivity monitor, and higher pressure capability), AEX
method evaluations, HIC method evaluations, RP-HPLC applications (is the system sufficiently robust to
switch between aqueous/salt-based and organic mobile phases)
Slide 31
Slide 32 Acknowledgements
Genentech
Armando Cordoba
Jeannie Kwong
Lisa Vampola
Frank Macchi
Milady Ninoneuvo
Yun Lou
Connie Lu
Tim Spirakes
Taylor Zhang
Hadil Suliman
Melissa Alvarez
Minako Pazdera
Dell Farnan
Victor Ling
John Stults
Reed Harris
Lancaster Labs
Aaron Wecksler
Agilent
Michael Yap
Taegen Clary
Stefan Jenkins
Lisa Zang
Stefan Falk-Jordan
Martin Vollmer
Emma Liu
GEN
Tamlyn Oliver
Some selected reading for more in-depth information on mAb charge variants and IEC
Harris, R.J., Kabakoff, B., Macchi, F.D., Shen, F.J., Kwong, M., Andya, J.D., Shire, S.J., Bjork, N., Totpai, K.,
& Chen, A.B. Identification of multiple sources of charge heterogeneity in a recombinant antibody. Journal of
Chromatography B 2001; 752:233-245
Rea, J., Wang, Y., Moreno, T., Parikh, P., Lou, Y., Farnan, D. Monoclonal antibody development and
physicochemical characterization by high performance ion exchange chromatography. Innovations in
Biotechnology, Dr. Eddy C. Agbo (Ed.) 2012
Khawli, L., Goswami , S., Hutchinson, R., Kwong, ZW., Yang, J., Wang, X., et al. Charge variants in IgG1:
Isolation, characterization, in vitro binding properties and pharmacokinetics in rats. mAbs.2010;2:613–624
Du, Y., Walsh, A., Ehrick, R., Xu, W., May, K., Liu, H. Chromatographic analysis of the acidic and basic
species of recombinant monoclonal antibodies. mAbs 2012; 4:578-585
Vlasak, J., & Ionescu, R. Heterogeneity of monoclonal antibodies revealed by charge-sensitive methods.
Current Pharmaceutical Biotechnology 2008; 9: 468–481
Rao, S., & Pohl, C. Reversible interference of Fe3+ with monoclonal antibody analysis in cation exchange
columns. Analytical Biochemistry 2011; 409:293-295,
Farnan, D., Moreno, T. Multiproduct high-resolution monoclonal antibody charge variant separations by pH
gradient ion-exchange chromatography. Anal. Chem 2009; 81: 8846–8857
Slide 33
Optimizing the Quality and Accuracy of
Biopharmaceutical Analysis and Characterization
Mike Kimzey, Ph.D. Senior Scientist
ProZyme
High-throughput Screening for N-Glycosylation
Mike Kimzey February 19th 2013 GEN webinar
Outline
• Optimized N-glycan Sample Preparation
• High-throughput Methods
• Innovator N-glycan Target Range
• Cell-Culture Optimization for N-glycans
36
GlykoPrep™ Overview
Purify target
Denature & immobilize
Digest with N-Glycanase®
Fluorescent label
Cleanup & elute in water
Crude sample
Purified glycoprotein
Analysis • Modular design
• Quantitative sample preparation 2 - 5 hours
– Integrated purification (e.g., MAbs)
– Rapid, unbiased N-glycan release
– Labeling: InstantDye™ or Rapid-Reductive-Amination™
• Manual or automated operation
37
AssayMAP® Cartridges
38
Label Choices
Glycoprotein N-Glycanase®
H2O
NH3
2-AB
InstantDye™
APTS
Instant AB
Rapid-Reductive-Amination™
39
++clearance
Terminal Sialic Acid -clearance
ADCC
ADCC: Antibody-Dependent Cell-mediated Cytotoxicity CDC: Compliment-Dependent Cytotoxicity
CDC
Therapeutic Effects of N-Glycans
40
+clearance
Overview of Cell-line Selection/Cell-culture Optimization
Early Screening Emphasizes capacity and speed over accuracy
6 Months
Later screening Increases in complexity and emphasizes fit to manufacturing process
Target Binding Aggregation N-Glycan
Charge Heterogeneity
Growth (Titer)
Fc Functional Assays
500 – 1000 clonal
cell lines 100 – 200 10 – 20 production cell line
41 Courtesy of Mark Melville and Joe Siemiatkoski of Epirus Biopharmaceuticals , Inc.
Characterization of Peaks (MabThera B6069) R
FU
Minutes
1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00 5.50 6.00 6.50
No exoglycosidase
+ Sialidase A
+ Sialidase A + β(1-4)-Galactosidase
+ Sialidase A + β(1-4)-Galactosidase + β-N-acetylhexoseaminidase
+ Sialidase A + β(1-4)-Galactosidase + β-N-acetylhexoseaminidase + α-Mannosidases
42
N-Glycan Profile of Herceptin
010203040506070
0 2 4 6 8 10
Minutes
% B
uff
er B
wash 43
Defining Target Range: Rituximab and Bevacizumab Lots
Drug Name Trade Name Vendor Lot # Vendor Expiry Vendor
Rituximab MabThera B6055 Aug-13 Roche
Rituximab MabThera H151B01 Oct-13 Roche
Rituximab MabThera B6069 Nov-13 Roche
Rituximab Rituxan 919862 Jun-13 Genentech
Rituximab Rituxan 930812 Sep-13 Genentech
Rituximab Rituxan 930814 Oct-13 Genentech
Rituximab Rituxan 938802 Nov-13 Genentech
Rituximab Rituxan 944794 Jan-14 Genentech
Bevacizumab Avastin H0007 B08 Mar-12 Roche
Bevacizumab Avastin H0106 B02 Dec-12 Roche
Bevacizumab Avastin H0107B01 Jan-13 Roche
Bevacizumab Avastin H0109B01 Mar-2013 Roche
Bevacizumab Avastin H0007B23 Mar-2013 Roche
Bevacizumab Avastin H0100B03 Oct-11 Roche
Bevacizumab Avastin 954131 Feb-12 Genentech
Bevacizumab Avastin 932315 Aug-12 Genentech
Bevacizumab Avastin 919257 Oct-12 Genentech
Bevacizumab Avastin 927070 Nov-12 Genentech
Bevacizumab Avastin 469053 Apr-13 Genentech
Bevacizumab Avastin 960470 Jul-13 Genentech
Bevacizumab Avastin 971630 Oct 2013 Genentech
Bevacizumab Avastin 469053 Apr-2014 Genentech
44
Table of Replicates--Rituximab
Day
Trade Name lot 1 2 3 4 total
MabThera H151B01 10 1 4 15
MabThera B6069 2 2 4
MabThera B6055 2 2 4
Rituxan 919862 2 4 3 7 16
Rituxan 930814 2 3 2 8 15
Rituxan 938802 2 4 2 8 16
Rituxan 930812 2 4 3 9
Rituxan 944794 2 3 5 4 14
45
Table of Replicates-- Bevacizumab
Day lot 1 2 3 total
469053 6 6 919257 4 4 927070 4 4 927070 4 4 932315 4 4 954131 4 4 960470 2 2 971630 5 4 9
H0007B08 4 4 H0007B23 5 4 9 H0100B03 2 2 H0106B02 4 4 H0107B01 2 2 H0109B01 4 4
46
0
5
10
15
20
25
30
35
40
45
MabThera H151B01
MabThera B6069
MabThera B6055
Rituxan 944794
Rituxan 919862
Rituxan 930814
Rituxan 938802
Rituxan 930812
Rituximab % Peak Area Comparison by Lot
47
Bevacizumab % Peak Area Comparison by Lot
0
10
20
30
40
50
60
70
80
90
G0-N G0F-N G0 G0F Man5 G1F[6] G1F[3] G2F
469053
919257
927070
932315
954131
960470
971630
H0007B08
H0007B23
H0100B03
H0106B02
H0107B01
H0108B01
H0109B01
48
Cell-Culture Optimization
• Two rounds of cell-culture optimization during a time course
• Round 1: Media
• Round 2: Additives
49
Round 1: Media
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
9.00
10.00
0 2 4 6 8 10 12
Media A
Media A
Media A, Mod 1
Media A, Mod 2
Media A, Mod 3
Media A, Mod 4
Media B
Days in Shake Flasks
Target Range
a b c d e f g h
% N
-Gly
can
1
50
Round 2: Additives
0 1 2 3 4 5 6
P23307SF-9
P23307SF-10
P23307SF-11
P23307SF-12
P23307SF-13
P23307SF-14
P23307SF-15
P23307SF-16
% N
-Gly
can
1
Days in Shake Flasks
Target Range
Round 1 Media Control
a
b
c d
e f g
h
51
Agilent AssayMAP Bravo
52
Comparison of %CV, Peaks >2%
Bravo Spin
average 0.47% 1.32%
min 0.27% 0.02%
max 1.43% 5.33%
median 0.38% 0.92%
53
0
5
10
15
20
25
30
35
40
45
A C E G A C E G A C E G A C E G A C E G A C E G A C E G A C E G A C E G A C E G A C E G A C E G
1 2 3 4 5 6 7 8 9 10 11 12
A1F
A2F
G0
G0F
G0F-N
G1
G1F[3]
G1F[6]
G2
G2F
Man 5
Man 6
Run Chart for Relative % Area
54
Column
Row
Innovator Lot #1
Innovator Lot #2
Innovator Lot #3
Innovator Lot #4
Conclusions
• GlykoPrep provides fast, high-throughput, high-quality analysis of the lot-to-lot variability of innovator molecule N-glycan profiles.
55
Conclusions
GlykoPrep provides fast, high-throughput, high-quality analysis of the lot-to-lot variability of innovator molecule N-glycan profiles.
• Glycoproteins to labeled N-glycans in < 4 hours
56
Conclusions
GlykoPrep provides fast, high-throughput, high-quality analysis of the lot-to-lot variability of innovator molecule N-glycan profiles.
Glycoproteins to labeled N-glycans in < 4 hours
• Evaluation of a variability of the N-glycan profiles of a number of lots ensures a wider target for biosimilar development. An assessment of the lot-to-lot variability of the innovator molecule is the first step in biosimilar product development.
57
Conclusions- continued
• Screening for N-glycan profiles, along with titer early in the process, ensures the selection of strains capable of delivering targeted N-glycan profiles.
58
Conclusions- continued
Screening for N-glycan profiles, along with titer early in the process, ensures the selection of strains capable of delivering targeted N-glycan profiles.
• The N-glycan profile can change rapidly over the cell-culture time course, suggesting the utility of bioreactor monitoring with GlykoPrep to better choose time of harvest to match the N-glycan target range of the innovator molecule.
59
Acknowledgements
ProZyme Ted Haxo Jo Wegstein Sybil Lockhart Jennie Truong Shiva Pourkevah Vicki Woolworth Susan Fuller Zoltan Szabo Justin Hyche
60
Agilent Steve Murphy Zach Van Den Heuvel Michael Bovee Adam Krahenbuhl Jennifer Reich Scott Fulton Rachel Bolger Randy Bolger
High-throughput Screening for N-Glycosylation
Optimizing the Quality and Accuracy of
Biopharmaceutical Analysis and Characterization
Optimizing the Quality and Accuracy of Biopharmaceutical
Analysis and Characterization
Q&A
Optimizing the Quality and Accuracy of
Biopharmaceutical Analysis and Characterization
Thank You For Attending
Optimizing the Quality and Accuracy of
Biopharmaceutical Analysis and Characterization
Broadcast Date: Tuesday, February 19, 2013
Time: 11AM EST, 8AM PST
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