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©2015 Waters Corporation 1
Towards the Standardization of
High Performance Protein Quantification
Workflows
Paula Orens
Applications Scientist
October 2016
©2015 Waters Corporation 2
PEPTIDES AND PROTEINS ARE NOT SMALL
MOLECULES
Analyzing large molecules is one of the
greatest challenges that a bioanalytical
scientist faces!
©2015 Waters Corporation 3
Topics
Challenges in Workflow Options and Typical Steps
– Protein Digestion Optimization Complexity
Antibodies and Choice of Representative Tryptic Peptide
– Impact of 3 vs. 5-Step Digestion Protocol
Effect of Protein and Peptide Level Clean-Up
Addressing the Challenges
– Kit-based approach
Examples of Quantification
– Small-mid size proteins
– mAbs
– ADCs
©2015 Waters Corporation 4
Complexity of Protein Bioanalysis Workflows: Surrogate Peptide Approach
©2015 Waters Corporation 5
Method Development Challenges
Protein Digestion
©2015 Waters Corporation 6
Protein Digestion: Method Development Challenges
Optimization of Protein
Denaturation
Testing Digestion
Reproducibility
Up to 5 STEPS •Denaturation •Reduction •Alkylation •Enzymatic Digestion •Quench
Optimization of Reduction/Alkylation Agent Concentrations, Time, Temp, Reagent;
Or..Omit?
Choosing the Enzyme, Vendor, Protein:Enzyme
Ratio, Temp
Peptides Digestion
Protein
Optimization of Digestion Time
©2015 Waters Corporation 7
There is a sweet spot for reducing agent concentration
Optimization Complexity: Reducing Agent Concentration
%Area
Decreasing Concentration
4 variables to optimize! One must carefully choose the specific reducing
agent, the concentration of each reagent, and the time and temperature
©2015 Waters Corporation 8
There is a sweet spot for reducing agent concentration
Optimization Complexity: Reducing Agent Concentration
%Area
Decreasing Concentration
%Area Normalized to 80C
Reducing Agent 1 60°C Reducing Agent 2 60°C
4 variables to optimize! One must carefully choose the specific reducing
agent, the concentration of each reagent, and the time and temperature
©2015 Waters Corporation 9
Optimization Complexity: Enzyme
native peptide
13C15N peptide
Increasing Digestion Time
20
30
40
50
60
70
80
90
100
10 20 30 50 100
Protein to trypsin ratio
Digestion Efficiency
native peptide
13C15N peptide
Increasing Protein:Trypsin Ratio
Time Ratio
©2015 Waters Corporation 10
Optimization Complexity: Enzyme
native peptide
13C15N peptide
Increasing Digestion Time
20
30
40
50
60
70
80
90
100
10 20 30 50 100
Protein to trypsin ratio
Digestion Efficiency
native peptide
13C15N peptide
Increasing Protein:Trypsin Ratio
Type A
($150/mg)
Type A
($0.3/mg)
Type B
($9.2/mg)
TypeA
($473/mg)
Type C
($0.5/mg)
Type B
($0.2/mg)
Type C
($0.7/mg)
Type B
($820/mg)
Vendor #1 Vendor #2 Vendor #3 Vendor #4
Type A
($1030/mg)
Time Ratio
Not all enzymes are created equal
©2015 Waters Corporation 11
Topics
Challenges in Workflow Options and Typical Steps
– Protein Digestion Optimization Complexity
Antibodies and Choice of Representative Tryptic Peptide
– Impact of 3 vs. 5-Step Digestion Protocol
Effect of Protein and Peptide Level Clean-Up
Addressing the Challenges
– Kit-based approach
Examples of Quantification
– Small-mid size proteins
– mAbs
– ADCs
©2015 Waters Corporation 12
Blood
Oncology
Endocrine
Anti-infective
CNS
Rheumatology
Modified slide from McKinsey and Company Data Source: Evaluate Pharma
2015 2014 2013 2012 2011 2010
PEGIntron
Erbitux
NovoRapid/NovoLog
4.3 Lantus Neulasta
Avonex Rebif
NovoSeven Kogenate Procrit/Eprex
Tysabri
Pegasys
5.7
Avastin Rituxan Herceptin Remicade
6.1
2020 2019 2018 2017 2016
Enbrel
Humira
Levemir
Norditropin SimpleXx
NovoMix
Humalog
Monoclonal Ab Other protein
US Patent Expiration Date
Large Molecule Drugs
2021
2009 sales ($Billion)
1.1 0.8
©2015 Waters Corporation 13
Infliximab (Remicade)
Van Dongen et al. 61st ASMS, MP525 Minneapolis Minnesota,
USA 9-13 June 2013.
Remicade Light chain [2]: DILLTQSPAILSVSPGERVSFSCRASQFVGSSIHWYQQRTNGSPRLLIKYASESMSGIPSRFSGSGSGTDFTLSINTVESEDIADYYCQQS
HSWPFTFGSGTNLEVKTVAAPSVFIFPPSDEQLKSGTASVVCLLNNFYPREAKVQWKVDNALQSGNSQESVTEQDSKDSTYSLSSTLTLSK
ADYEKHKVYACEVTHQGLSSPVTKSFNRGEC
Remicade Heavy chain [2]: EVKLEESGGGLVQPGGSMKLSCVASGFIFSNHWMNWVRQSPEKGLEWVAEIRSKSINSATHYAESVKGRFTISRDDSKSAVYLQMNSLRTE
DTGVYYCSRNYYGSTYDYGQGTTLTVSXASTKGPSVFPLAPSSKSTSGGTAALGCLVKDYFPEPVTVSWNSGALTSGVHTFPAVLQSSGLY
SLSSVVTVPSSSLGTQTYICNVNHKPSNTKVDKRVEPKSPKSCDKTHTCPPCPAPELLGGPSVFLFPPKPKDTLMISRTPEVTCVVVDVSH
EDPEVKFNWYVDGVEVHNAKTKPREEQYNSTYRVVSVLTVLHQDWLNGKEYKCKVSNKALPAPIEKTISKAKGQPREPQVYTLPPSRDELT
KNQVSLTCLVKGFYPSDIAVEWESNGQPENNYKTTPPVLDSDGSFFLYSKLTVDKSRWQQGNVFSCSVMHEALHNHYTQKSLSLSPGK
Conserved region: blue variable regions: red CDR regions: green
Unique signature
Generic signature
http://www.drugbank.ca/drugs/DB00065
Formula: C6428H9912N1694O1987S46
Molecular Weight: ~ 149.1 kD
Multitude of Tryptic Peptide Options
Choices for quantification are based on sensitivity
and specificity
©2015 Waters Corporation 14
Optimization Complexity: Peptide Considerations for Quantification Trastuzumab (Herceptin)
Conserved region Surrogate Peptides
Anti-HER2 Heavy chain EVQLVESGGGLVQPGGSLRLSCAASGFNIKDTYIHWVRQAPGKGLEWVARIYPTNGYTRY ADSVKGRFTISADTSKNTAYLQMNSLRAEDTAVYYCSRWGGDGFYAMDYWGQGTLVTVSS ASTKGPSVFPLAPSSKSTSGGTAALGCLVKDYFPEPVTVSWNSGALTSGVHTFPAVLQSS GLYSLSSVVTVPSSSLGTQTYICNVNHKPSNTKVDKKVEPPKSCDKTHTCPPCPAPELLG GPSVFLFPPKPKDTLMISRTPEVTCVVVDVSHEDPEVKFNWYVDGVEVHNAKTKPREEQY NSTYRVVSVLTVLHQDWLNGKEYKCKVSNKALPAPIEKTISKAKGQPREPQVYTLPPSRD ELTKNQVSLTCLVKGFYPSDIAVEWESNGQPENNYKTTPPVLDSDGSFFLYSKLTVDKSR WQQGNVFSCSVMHEALHNHYTQKSLSLSPGK
Anti-HER2 Light chain DIQMTQSPSSLSASVGDRVTITCRASQDVNTAVAWYQQKPGKAPKLLIYSASFLYSGVPS RFSGSRSGTDFTLTISSLQPEDFATYYCQQHYTTPPTFGQGTKVEIKRTVAAPSVFIFPP SDEQLKSGTASVVCLLNNFYPREAKVQWKVDNALQSGNSQESVTEQDSKDSTYSLSSTLTLSKADYEKHKVYACEVTHQGLSSPVTKSFNRGEC
Formula: C6470H10012N1726O2013S42
Molecular Weight: ~ 145.5 kDa (claims are 148 package insert)
http://www.drugbank.ca/drugs/DB00072
Unique Signature
Generic Signature
Multitude of Tryptic Peptide Options
Choices for quantification are based on sensitivity
and specificity
©2015 Waters Corporation 15
Eliminate reduction/alkylation (3 Step)?
Peptide Choice: Impact on Protocol for Unique Variable Region Peptides
%Area
For unique variable region signature peptides from 4 monoclonal antibody drugs, 3 step protocol works well
For variable region peptides, one may not
need to reduce and alkylate
*Normalized to 5 step method
3 step*
©2015 Waters Corporation 16
Peptide Choice: Impact on Protocol for Generic Conserved Region Peptides
%Area
3 step, normalized to 5 step protocol
Eliminate reduction/alkylation (3 Step)?
For generic conserved region signature peptides from 4 monoclonal antibody drugs, 5 step protocol is more efficient, more often than not
For conserved region peptides, reduce and alkylatation increases
performance
©2015 Waters Corporation 17
Topics
Challenges in Workflow Options and Typical Steps
– Protein Digestion Optimization Complexity
Antibodies and Choice of Representative Tryptic Peptide
– Impact of 3 vs. 5-Step Digestion Protocol
Effect of Protein and Peptide Level Clean-Up
Addressing the Challenges
– Kit-based approach
Examples of Quantification
– Small-mid size proteins
– mAbs
– ADCs
©2015 Waters Corporation 18
Protein Level Sample Clean-Up: Options
Protein Clean-Up Techniques
General Proteins
Monoclonal Antibodies Discovery Development Sensitivity
None x x x low
MW cutoff filters x x x x low
Depletion Plates x x x x low
PPT (Pellet Digestion) x x x x medium
Protein A/G x x x medium
Kappa (anti-human) x x high
Specific Capture Reagent x x x high
An Ideal Digestion Approach Adapts to Any One of These Clean-up Techniques
Protein in Plasma/Serum
Purified Protein
©2015 Waters Corporation 19
Clean up at the Protein Level: Effects of Matrix Interferences
MEOH 1:1
Time-0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00
%
20.000
40.000
60.000
80.000
-0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00
%
0
100
-0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00
%
0
100
25Jan2015_Herceptin_dilution_MEOH_1002 MRM of 24 Channels ES+ 485.2 > 608.3 (Herceptin-FTISADTSK HC)
7.03e5
5.18
4.59 5.90
25Jan2015_Herceptin_dilution_ACN_1014 MRM of 24 Channels ES+ TIC
2.22e8
8.696.07
5.56
4.48
4.244.94
6.33
7.14
6.65
7.84
8.12
25Jan2015_Herceptin_dilution_MEOH_1002 % ARange: 900.02
Trastuzumab (100ug/mL)
Albumin Peptides
% Aqueous
Human Serum Albumin makes up the largest protein fraction in plasma
(~55%)
Removing or minimizing matrix interferences through
sample clean-up would be advantageous
©2015 Waters Corporation 20
Simple, Cost-Effective Method: Protein Precipitation (PPT) Albumin Depletion and Herceptin Recovery
PPT with Solvent 4 helps remove half of the HSA peptide, increasing
sensitivity and specificity
©2015 Waters Corporation 21
Sensitivity and Sample Prep: What is Enough and How do I Get There?
Blank Plasma Blank Plasma
Blank Plasma
50 ng/mL
50 ng/mL 50 ng/mL
100 ng/mL 100 ng/mL
100 ng/mL 500 ng/mL 500 ng/mL
Specific: Anti-human in Rat
Generic: Protein A in Human
None: Direct Human Plasma
The level of sample prep needed will be based on the
sensitivity and specificity required for the assay
©2015 Waters Corporation 22
Complexity of Protein Bioanalysis Workflows: Surrogate Peptide Approach
A kit-based approach could simplify method development and create some level of standardization.
©2015 Waters Corporation 23
Topics
Challenges in Workflow Options and Typical Steps
– Protein Digestion Optimization Complexity
Antibodies and Choice of Representative Tryptic Peptide
– Impact of 3 vs. 5-Step Digestion Protocol
Effect of Protein and Peptide Level Clean-Up
Addressing the Challenges
– Kit-based approach
Examples of Quantification
– Small-mid size proteins
– mAbs
– ADCs
©2015 Waters Corporation 24
Development of Kit-Based Approach: What is Needed From a Standardized Method?
Accommodates all types of protein-level pre-treatment:
– PPT, generic and specific affinity, etc.
Flexibility to include or omit reduction/alkylation steps
Range of protein types (small, large, ADC’s)
Range of starting sample volumes
Sensitivity
Accuracy
Reproducibility
©2015 Waters Corporation 25
Solution to the Complexity: ProteinWorks™ eXpress Digest Kits
Key Attributes
Standardized protocols
– Eliminates Method Development for Discovery Studies
– Digestion and quantification of a diversity of proteins
– 3 and 5-Step Digestion
Scalable, flexible format
Reliable and reproducible
High Sensitivity
Quantification Total antibody analysis for ADCs
– Detection of conjugated peptides
No capital investment required
©2015 Waters Corporation 26
Kit Performance: Intra and Inter-Kit
5 lots Trypsin, 2 prep days, 2 analysts
Kit-to-Kit eXpress Direct Digest kit,
avg 7.7% CV
Raw Area Counts, No Internal Standard
Within kit eXpress Direct Digest kit,
avg 1.9% CV
©2015 Waters Corporation 27
Standardization, while ensuring performance and
reproducibility
Protein Quantification Digestion Kit
©2015 Waters Corporation 28
Peptide
Std. Curve Range (mg/mL) Weighting
Linear fit (r2)
Mean % Accuracy
of all points
DILLTQSPAILSVSPGER 0.25-500 1/x 0.998 100.01
DILLTQSPAILSVSPGER* 0.25-500 1/x 0.995 101.26
* Quantified using SILUMAB-VVSV (IS)
QC Conc (ug/mL)
Mean Cal. Conc
(ug/mL) Std. Dev. %CV Mean Accuracy
DILLTQSPAILSVSPGER* 0.35 0.33 0.02 5.80 93.2
SILUMAB-DTL(IS) 3.50 3.79 0.02 0.49 108.2
35.00 39.58 0.17 0.44 113.1
350.00 350.02 3.09 0.88 100.0
QC Conc (ug/mL)
Mean Cal. Conc
(ug/mL) Std. Dev. %CV Mean Accuracy
DILLTQSPAILSVSPGER* 0.35 0.34 0.00 0.89 96.5
SILUMAB-VVSV (IS) 3.50 3.65 0.05 1.47 104.2
35.00 36.51 0.73 2.01 104.3
350.00 350.80 3.90 1.11 100.2
* Signature
Accurate and Precise Quantification with a Standardized Protocol: Remicade (infliximab)
Linear, Precise and Accurate
Single digit %CVs
©2015 Waters Corporation 29
Achieving High Sensitivity with a Standardized Protocol: Remicade (infliximab)
Time 2.20 2.40 2.60 2.80 3.00 3.20 3.40 3.60 3.80 4.00 4.20 4.40 4.60 4.80 5.00 5.20 5.40
%
0
100
2.20 2.40 2.60 2.80 3.00 3.20 3.40 3.60 3.80 4.00 4.20 4.40 4.60 4.80 5.00 5.20 5.40
%
0
100
MRM of 11 Channels ES+ 469.6 > 603.8 (Remicade SINSATHYAESVK )
2.20e4 Area
4.15 361
MRM of 11 Channels ES+ 469.6 > 603.8 (Remicade SINSATHYAESVK )
2.20e4 Area
10 ng/mL infliximab
Blank plasma
SINSATHYAESVK Unique Signature Peptide
LLOQ of 10ng/mL 35 µL sample, Protein A affinity sample clean-up, digestion with
ProteinWorks eXpress Digest Kit, and MCX SPE peptide level clean-up.
©2015 Waters Corporation 30
Accurate and Precise Quantification with a Standardized Protocol: Avastin (bevacizumab), QC Statistics
Peptide QC Conc (ug/mL)
Mean Cal. Conc
(ug/mL) Std. Dev. %CV Mean Accuracy
GPSVFPLAPSSK 0.35 0.34 0.03 9.88 96.4
SILUMAB-DTL(IS) 3.50 3.84 0.06 1.67 109.8
35.00 37.88 1.49 3.94 108.2
*350.00 368.26 1.29 0.35 105.2
QC Conc (ug/mL)
Mean Cal. Conc
(ug/mL) Std. Dev. %CV Mean Accuracy
STSGGTAALGC[+57]LVK 0.35 0.35 0.02 6.80 100.6
SILUMAB-DTL(IS) 3.50 3.62 0.10 2.73 103.4
35.00 38.20 1.52 3.99 109.1
350.00 341.18 17.14 5.02 97.5
QC Conc (ug/mL)
Mean Cal. Conc
(ug/mL) Std. Dev. %CV Mean Accuracy
DSTYSLSSTLTLSK 0.35 * * * *
SILUMAB-DTL(IS) 3.50 3.36 0.17 5.06 96.0
35.00 37.60 1.50 3.99 107.4
350.00 381.10 8.99 2.36 108.9
* Outside of curve dynamic range
Excellent Accuracy and Precision
©2015 Waters Corporation 31
Flexibility : Across different mAbs & multiple plasma volumes
Protein Peptide Linear fit (r2) with 1/x
weighting Mean % Accuracy
Std. Curve Range Standard Curve Range 5.0-50.0 (µg/mL)
15 µL plasma
35 µL plasma
70 µL plasma
15 µL plasma
35 µL plasma
70 µL plasma
Infliximab SINSATHYAESVK 0.999 0.999 0.997 100.00 99.99 99.99
DILLTQSPAILSVSPGER 0.999 0.998 0.994 99.99 100.00 100.01
Trastuzumab
FTISADTSK 0.997 0.993 0.998 100.00 100.01 99.99
DTYIHWVR 0.995 0.995 0.996 100.00 100.02 100.02
IYPTNGYTR 0.998 0.996 0.991 99.98 99.98 98.79
Bevacizumab STAYLQMNSLR 0.999 0.998 0.995 100.00 100.01 99.99
FTFSLDTSK 0.999 0.999 0.993 100.02 100.00 100.00
Adalimumab APYTFGQGTK 0.994 0.997 0.995 99.99 99.99 99.99
NYLAWYQQKPGK 0.997 0.998 0.999 99.99 100.02 100.01
Linear, precise and accurate with multiple plasma volumes for multiple mAbs
©2015 Waters Corporation 32
Compound name: MIFAGIK
Correlation coefficient: r = 0.998906, r̂ 2 = 0.997814
Calibration curve: 7119.39 * x + -13715.7
Response type: External Std, Area
Curve type: Linear, Origin: Exclude, Weighting: 1/x̂2, Axis trans: None
Conc-0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250
Res
pons
e
-0
200000
400000
600000
800000
1000000
1200000
1400000
Quantification of Small Proteins: Cytochrome C
MW 12,327
35 µL sample
10 minute digestion
MGDVEKGKKIFVQKCAQCHTVEKGGKHKTGPNLHGLFGRKTGQAPGFSYTDANKNK
GITWGEETLMEYLENPKKYIPGTKMIFAGIKKKGEREDLIAYLKKATNE
Peptide Std. Curve
Range (µg/mL)
Limit of Detection (µg/mL)
Weighting Linear fit
(r2)
Mean % Accuracy of all points
TGPNLHGLFGR 2.0-250 2.0 1/x2 0.996 100.01
MIFAGIK 2.0-250 0.5 1/x2 0.998 100.86
EDLIAYLK 2.0-250 0.5 1/x2 0.999 99.99
GITWGEETLMEYLENPKK 2.0-250 0.5 1/x2 0.999 100.00
QC mean accuracies between 90-108% with single digit % CV’s
©2015 Waters Corporation 33
Compound name: MIFAGIK
Correlation coefficient: r = 0.998906, r̂ 2 = 0.997814
Calibration curve: 7119.39 * x + -13715.7
Response type: External Std, Area
Curve type: Linear, Origin: Exclude, Weighting: 1/x̂2, Axis trans: None
Conc-0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250
Res
pons
e
-0
200000
400000
600000
800000
1000000
1200000
1400000
Quantification of Small Proteins: Cytochrome C
MW 12,327
35 µL sample
10 minute digestion
MGDVEKGKKIFVQKCAQCHTVEKGGKHKTGPNLHGLFGRKTGQAPGFSYTDANKNK
GITWGEETLMEYLENPKKYIPGTKMIFAGIKKKGEREDLIAYLKKATNE
Peptide Std. Curve
Range (µg/mL)
Limit of Detection (µg/mL)
Weighting Linear fit
(r2)
Mean % Accuracy of all points
TGPNLHGLFGR 2.0-250 2.0 1/x2 0.996 100.01
MIFAGIK 2.0-250 0.5 1/x2 0.998 100.86
EDLIAYLK 2.0-250 0.5 1/x2 0.999 99.99
GITWGEETLMEYLENPKK 2.0-250 0.5 1/x2 0.999 100.00
QC mean accuracies between 90-108% with single digit % CV’s
©2015 Waters Corporation 34
0%
20%
40%
60%
80%
100%
120%
140%
0 10 20 30 40 50 60
Pe
rce
nta
ge c
om
par
ed
to
15
min
Time (min)
Time course of Apo a1 peptides (1 mg/ml) in rat plasma (3-Direct kit)
AKPA 2
ATEH 3
DLAT 3
VQPY 4
LLDN 3
Quantification of Mid-Size Proteins: Apolipoprotein a1 MW 28,300
15 µL sample
Less than 30 minute digestion
©2015 Waters Corporation 35
Apo a1 peptide: Standard Curve and QC Statistics
Peptide Std. curve range
(mg/mL)
Weighting Linear fit (r2)
Mean % Accuracy of all
points
LLDNWDSVTSTFSK 10 - 1500 1/x2 0.988 99.99
Peptide Apo A1 QC conc.
(mg/mL) Mean Cal. Conc.
(mg/mL) Std. Dev. %CV
Mean %Accuracy
# of QCs passed
18 16.81 1.33 7.91% 93.40% 3 out of 3
LLDNWDSVTSTFSK 180 190.74 7.33 3.84% 105.97% 3 out of 3
1200 1322.72 64.64 4.89% 110.23% 3 out of 3
Excellent Accuracy and Precision
©2015 Waters Corporation 36
Waters Performance vs. Competitor
©2015 Waters Corporation 37
Higher Area Counts for Better Sensitivity: Unique Signature Peptides
ProteinWorks Outperforms the Competition Higher area counts across unique signature peptides of 4 different monoclonal antibodies
©2015 Waters Corporation 38
Higher Area Counts for Better Sensitivity: Generic Signature Peptides
0
25
50
75
100
125
Generic VVSVLTVLHQDWLNGK Generic GPSVFPLAPSSK Generic DSTYSLSSTLTLSK
Area
WatersWaters 3 and 5-Step vs. Competitor *
% Area Generic Signature Peptides
Waters 3-Step
Waters 5-Step
Competitor
* Normalized to Waters 3-Step 35 uL Plasma
ProteinWorks Outperforms the Competition Higher area counts across generic signature peptides of 4 different monoclonal antibodies
©2015 Waters Corporation 39
Improving Sensitivity and Specificity
Peptide Level Clean-Up
©2015 Waters Corporation 40
Matrix Effects at the Signature Peptide Level
1 nM trastuzumab in Solvent A
human serum digest
1 nM trastuzumab in serum digest
~1500 area counts
~500-700 area counts = 2-3X lower!
Addressing the problem with sample prep………
©2015 Waters Corporation 41
ProteinWorks µElution SPE Kit
Maximizing Instrument Up-Time, Recovery & Sensitivity
Remove interfering buffer salts and digest reagents Recover unique and generic signature peptides with high efficiency using a single SPE method Minimize sample loss with µElution format Concentrate the sample up to 15x
0
20
40
60
80
100
120
Oasis MCX
One generic protocol achieves high recovery for a diversity of tryptic peptides
©2015 Waters Corporation 42
Peptide Level Clean-UP: Mixed-Mode SPE Protein A & Oasis MCX Incremental Improvement in Signal
Time 5.00 5.50 6.00 6.50 7.00 7.50 8.00 8.50 9.00 9.50 10.00
%
0
100
5.00 5.50 6.00 6.50 7.00 7.50 8.00 8.50 9.00 9.50 10.00
%
0
100
5.00 5.50 6.00 6.50 7.00 7.50 8.00 8.50 9.00 9.50 10.00
%
0
100
1: MRM of 2 Channels ES+ 485.2 > 721.4 (FTISADTSK HC)
6.23e5 Area
7.09 3185
1: MRM of 2 Channels ES+ 485.2 > 721.4 (FTISADTSK HC)
6.23e5 Area
7.10 14439
1: MRM of 2 Channels ES+ 485.2 > 721.4 (FTISADTSK HC)
6.23e5 Area
7.09 27490
Direct plasma digestion: no clean-up
Protein A plasma clean-up
Protein A plasma clean-up, Oasis MCX digest clean-up
©2015 Waters Corporation 43
ProteinWorks Digest Kits
ADC Quantification
©2015 Waters Corporation 44
Trastuzumab Emtansine (T-DM1)
Bioconjugate Chemistry 2014, 25, 1223-1232
DM1 + MCC (Drug + Linker) 956.3644 Da
MCC (Linker) 219.0895 Da
Drug Maytansinoid
Trastuzumab based
90 lysines
SMCC linker
Two-step conjugation
Hydrophobic
Data courtesy of Liuxi Chen
©2015 Waters Corporation 45
Trypsin Asp N
Unconjugated peptide
Conjugated peptide
Quantitation Relative abundance of conjugated peptides
Relative site occupancy ratio
Lysine Conjugated ADC: Choice of digestion and tryptic peptides are critical
K
K
“miscleavage”
Slide courtesy of Liuxi Chen
If lysine is occupied by a small molecule drug (payload), there is potential for miscleavage during digestion if trypsin is used.
©2015 Waters Corporation 46
Peptide Std. curve range
(µg/mL)
Weighting Linear fit (r2)
Mean % Accuracy
of all points,
duplicate curves
IYPTNGYTR (T-DM1/trastuzumab Signature peptide)
0.25 - 500 1/x 0.998 100.00
GPSVFPLAPSSK (Generic mAb peptide)
0.1 - 500 1/x 0.998 100.00
FTISADTSK (Typical tratuzumab
Signature peptide, T-DM1 with no drug)
0.25 - 500 1/x 0.999 100.00
T-DM1 Summary Standard Curve Statistics: Direct Plasma Digest, 35 µL
All simple fit with excellent linearity (r2 0.99) and great accuracy (100%)
©2015 Waters Corporation 47
T-DM1 and Trastuzumab Quantification Using Trastuzumab standard curve: direct digest, 35 µL plasma
Peptide Trastuzumab
QCs conc. (mg/mL)
Mean Cal. Conc.
(mg/mL) Std. Dev. %CV
Mean %Accuracy
# of QCs passed
0.65 0.64 0.03 4.58% 99.77% 3 out of 3 3.5 3.25 0.19 5.96% 92.90% 3 out of 3
IYPTNGYTR 6.5 6.83 0.16 2.29% 105.13% 3 out of 3 35 36.41 0.42 1.16% 104.03% 3 out of 3
65 63.31 2.18 3.44% 97.40% 3 out of 3
350 345.64 18.66 5.40% 98.73% 3 out of 3
Peptide T-DM1
QCs conc. (mg/mL)
Mean Cal. Conc.
(mg/mL) Std. Dev. %CV
Mean %Accuracy
# of QCs passed
0.65 0.65 0.05 6.94% 100.50% 3 out of 3 3.5 3.36 0.24 7.10% 95.87% 3 out of 3
6.5 7.10 0.05 0.66% 109.20% 2 out of 3 IYPTNGYTR 35 34.51 1.09 3.17% 98.57% 3 out of 3
65 59.74 3.72 6.22% 91.90% 3 out of 3
350 324.72 17.06 5.25% 92.80% 3 out of 3
MRM transition: 542.77 > 808.40
©2015 Waters Corporation 48
Blank rat plasma digest, w/ IS, Direct 5 step, no SPE, 1
Time12.25 12.50 12.75 13.00 13.25 13.50 13.75 14.00 14.25 14.50 14.75 15.00 15.25 15.50 15.75 16.00
%
0
12.25 12.50 12.75 13.00 13.25 13.50 13.75 14.00 14.25 14.50 14.75 15.00 15.25 15.50 15.75 16.00
%
2
12.25 12.50 12.75 13.00 13.25 13.50 13.75 14.00 14.25 14.50 14.75 15.00 15.25 15.50 15.75 16.00
%
2
12.21
14.60
12.21
13.2729006
13.3923826
Blank rat plasma digest, w/ IS, Direct 5 step, no SPE, 1
Time12.25 12.50 12.75 13.00 13.25 13.50 13.75 14.00 14.25 14.50 14.75 15.00 15.25 15.50 15.75 16.00
%
2
12.25 12.50 12.75 13.00 13.25 13.50 13.75 14.00 14.25 14.50 14.75 15.00 15.25 15.50 15.75 16.00
%
3
12.25 12.50 12.75 13.00 13.25 13.50 13.75 14.00 14.25 14.50 14.75 15.00 15.25 15.50 15.75 16.00
%
3
12.87
12.09
12.88
12.10
14.082899
13.942489
ProteinWorks Performance: Detection and Confirmation of Conjugated T-DM1 peptides
Blank Rat Plasma
TDM-1 350.0 µg/mL
Trastuzumab 350.0 µg/mL
GPSVFPLAPSSKSTSGGTAALGCLVK Miscleavage peptide of T-DM1
MRM: 1149.22 > 547.20
FTISADTSKNTAYLQMNSLR Miscleavage peptide of T-DM1
MRM: 1073.17 > 547.20
©2015 Waters Corporation 49
ADC, QC, 350 ug/ml, Direct 5 step, no SPE, 2
Time11.50 12.00 12.50 13.00 13.50 14.00 14.50 15.00 15.50
%
0
11.50 12.00 12.50 13.00 13.50 14.00 14.50 15.00 15.50
%
1
110415_WAA678_CD_070b Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 485.22 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 2)
1.93e5Area
13.38;7282
110415_WAA678_CD_070b Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 547.2 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 1)
5.82e5Area13.39;24966
13.27;9539
ProteinWorks Performance: Monitoring miscleaved peptide FTISADTSKNTAYLQMNSLR with the small molecule drug attached
Two MRM transitions confirm that the correct peptide is being monitored.
1073.167 > 485.22
1073.167 > 547.20
13.27;29901
©2015 Waters Corporation 50
For all of the peptides evaluated, ProteinWorks Direct Digest Kit, using a
3 and/or 5-Step protocol performance (using peak area) was better than
competitor
Waters vs. Competitor Kit ADC Performance: Signal Comparison Summary
ProteinWorks Outperforms the Competition Higher area counts across multiple herceptin tryptic signature peptides.
©2015 Waters Corporation 51
Blank rat plasma digest, Direct 5 step, no SPE, 2
Time12.80 13.00 13.20 13.40 13.60 13.80 14.00
%
1
12.80 13.00 13.20 13.40 13.60 13.80 14.00
%
1
12.80 13.00 13.20 13.40 13.60 13.80 14.00
%
3
12.80 13.00 13.20 13.40 13.60 13.80 14.00
%
2
120815_WAA678_CD_009 Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 547.2 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 1)
7.59e4
12.87
13.9113.7113.3213.07
13.57
120815_WAA678_CD_039 Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 547.2 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 1)
1.56e5Area
13.406327
120815_WAA678_CD_045 Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 547.2 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 1)
2.56e5Area
13.37;11950
120815_WAA678_CD_051 Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 547.2 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 1)
6.49e5Area
13.35;30915
Blank rat plasma digest, Perfinity, no SPE, 2
Time12.80 13.00 13.20 13.40 13.60 13.80 14.00
%
17
12.80 13.00 13.20 13.40 13.60 13.80 14.00
%
39
12.80 13.00 13.20 13.40 13.60 13.80 14.00
%
36
12.80 13.00 13.20 13.40 13.60 13.80 14.00
%
28
120815_WAA678_CD_007 Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 547.2 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 1)
2.24e4Area
120815_WAA678_CD_037 Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 547.2 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 1)
2.63e4Area
120815_WAA678_CD_043 Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 547.2 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 1)
2.48e4Area
120815_WAA678_CD_049 Sm (SG, 2x3) MRM of 17 Channels ES+ 1073.167 > 547.2 (Kadcyla miscleavage FTISADTSKNTAYLQMNSLR 1)
4.77e4Area
13.25442
Rat plasma blank
50 µg/mL
100 µg/mL
250 µg/mL
Waters vs. Competitor Kit Performance: Conjugated peptide FTISADTSKNTAYLQMNSLR with the small molecule drug attached
Competitor
ProteinWorks Direct Digest 5-Step
The signal is concentration dependent. Detection of conjugated peptides is questionable even at higher
concentrations with competitor kit.
©2015 Waters Corporation 52
Conclusions
Protein BA workflows are complex and laborious…but they don’t
have to be!
Waters ProteinWorks eXpress Digest kits provide standardized,
reproducible, and fully flexible solutions for accurate and precise
quantification of a diversity of proteins.
– One optimized protocol
– Accommodating different types of sample pre-treatment
– Range of plasma volumes
– Small and large proteins
o 10 min to 2 hr digestion times
– ADC (T-DM1) Quantification
o Detection of multiple conjugated peptides
©2015 Waters Corporation 53
Acknowledgements
Erin Chambers
Mary Lame
Hua Yang
Liuxi Chen
Jay Johnson
Henry Shion
Gregory Roman
James Murphy
Weibin Chen
John Gebler
Steven Calciano
Sherri Naughton
Catalin Doneanu