automated sequence variant analysis supporting high tier ...€¦ · the need for fast sequence...
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Automated sequence variant analysis supporting high tier media selection
Bo Zhai, PhD
Biotherapeutic DevelopmentJanssen Research & Development
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Agenda
Automated SVA
Minimal manual intervention
Less manual validation
Introduction
Cell & Developability Sciences
Cell line selection process
Spent Media
Analysis
Verification
Cell line selection support
1 2 3
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Introduction
1
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Large Molecule Early Development
Target Research
“Target validation”
Hit and Lead Generation
“Candidate source”
Lead Optimization
“Candidate Engineering”
Cell & Developability
Sciences
GMP Batch Development
NME IND
Discovery
Development
102-103 10-20 1-4Num
ber
of
Candid
ate
s:
Drive candidate selection and development of the manufacturing cell line
Cell Line Development | Early Formulation | pre-NME Analytical Support
C e l l & D e v e l o p a b i l i t y S c i e n c e s
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More Molecules and Reduced Timeline
MOAs
(More molecules)
Cell Line Development
Faster to IND
(Reduced Timeline)
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New Cell Line / New Process
1 MONTH 2 MONTHS 3 MONTHS 4 MONTHS 5 MONTHS 6 MONTHS
Parental Cloning
10L BRX
Early Look Material,
Analytical
Transfectionup to 4 candidates
ambr250
100’s 10’s
Select the
Manufacturin
g Cell Line
Begin Early
Development
(from transfection pool)
# of clones
▪ Eliminated subcloning reduced timeline by 1.5 months (VIPS Technology)
▪ Site directed integration. Titers are more predictable, screen fewer clones.
▪ ‘Early Look Material’ produced from transfection pool (not clonal): Start Development Sooner.
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In Depth Characterization and Key Analytical Readouts
Sequence Variance
, Signal Peptide
& O-glycosylation
Proper chain recombination
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Off-Platform Programs Present New Challenges
Alternative Scaffolds
ADC
Multi-Specifics
Vaccines
>50% of the Early Pipeline are not mAb
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Don’t be the bottle neck
1 MONTH 2 MONTHS 3 MONTHS 4 MONTHS 5 MONTHS 6 MONTHS
Parental Cloning
10L BRX
Early Look Material,
Analytical
Transfectionup to 4 candidates
ambr250
100’s 10’s
Select the
Manufacturin
g Cell Line
Begin Early
Development
(from transfection pool)
# of clones
Don’t be the bottle neck
▪ Comprehensive characterization, high product quality in the lead cell line
▪ Analytical also has to shorten timelines and increase bandwidth
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Bottom Up and Intact & Subunit Mass Approach
Intact & Subunit Mass Analysis PipelinePeptide Mapping Analysis
Native Degly IdeSReducedReduced, Alkylated
Trypsin Chymotrypsin
Forced Degradation Set, Clones, etc.
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Peptide Mapping Auto Workflow with ByosTM
Quantitation
PTMs
MS Files
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Automated Sequence Variant Analysis
2
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• Replication error
• DNA damage
DNA mutations
Sequence Variant and Causes
• Codon misreading (most common): incorrect
tRNA is recruited during mRNA translation
• tRNA mischarging: incorrect amino acid is
attached to the correct tRNA
mRNA mistranslation
1) Feeney, Lauren. et. al. (2013).. Biotechnology and Bioengineering. 110 (4)
2) Harris, Robert., Kilby, Peter. (2014) Current Opinion in Biotechnology. 30
Unintended change in the amino acids
sequences that could potentially contribute to
efficacy, product safety and immunogenicity.
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Proprietary High Titer Media Improves Productivity
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Sequence Variants Identified
Peptide Position Mod. Names Clone AClone B Clone C Clone D Clone E Clone F Clone G Clone H
TVAAPSVFIFPPSDEQLK 119Pro->Ala/-26.0157 0.26
VYACEVTHQGLSSPVTK 204Pro->Ala/-26.0157 0.24 0.05
ALPAPIEK 330Pro->Ala/-26.0157 0.35 0.10 0.18
ALPAPIEK 332Pro->Ala/-26.0157 0.27 0.13
ASQDINR 30Asn->Ser/-27.0109 0.04 0.39
FNWYVDGVEVHNAK 287Asn->Ser/-27.0109 0.52
NQVSLLCLVK 362Asn->Ser/-27.0109 0.50
Peptide Position Mod. Names Clone 1 Clone 2 Clone 3 Clone 4 Clone 5 Clone 6 Clone 7 Clone 8
ETYGEMADCCAK 139/140Cys->Tyr/3.0327 0.11 0.07 0.07 0.12 0.04 0.10 0.14 0.06
AAFTECCQAADK 217Cys->Tyr/3.0327 0.10
VHTECCHGDLLECADDR 302Cys->Tyr/3.0327 0.22
YICENQDSISSK 314Cys->Tyr/3.0327 0.09 0.05 0.04 0.08 0.03 0.08 0.10 0.04
LKECCEKPLLEK 327Cys->Tyr/3.0327 0.04 0.04 0.06 0.05 0.12
LKECCEKPLLEK 328Cys->Tyr/3.0327 0.04
Cys TGC Tyr TAT
TGT TAC
Pro CCT Ala GCT
CCA GCA
CCG GCG
CCC GCC
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Initial Report on Sequence Variants
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Cys->Tyr Variant Manual Validation
MS1 XIC
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Cys->Tyr Variant Manual Validation
MSMS MSMS
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Sequence Variant Annotated Based on Filter Logic
• Monoisotopic peak
• Peptide score
• Retention time shift
• Explained by common mod
• K/R variance
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Cross validation with multiple enzymes
multiple enzymes
Processing
Reporting
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Cross validation with multiple enzymes
Peptide (GluC) Position Mod. Names Clone 1 Clone 2 Clone 3 Clone 4 Clone 5 Clone 6 Clone 7 Clone 8
MADCCAKQEPERNE 139/140Cys->Tyr/3.0327 0.09 0.05 0.06 0.10 0.04 0.08 0.11 0.05
CADDRADLAKYICE 314Cys->Tyr/3.0327 0.20 0.13 0.13 0.21 0.08 0.19 0.30 0.12
CADDRADLAKYICE 302Cys->Tyr/3.0327 0.11
CCEKPLLE 327Cys->Tyr/3.0327 0.19 0.06 0.07 0.09 0.04
Peptide (Trypsin) Position Mod. Names Clone 1 Clone 2 Clone 3 Clone 4 Clone 5 Clone 6 Clone 7 Clone 8
ETYGEMADCCAK 139/140Cys->Tyr/3.0327 0.11 0.07 0.07 0.12 0.04 0.1 0.14 0.06
AAFTECCQAADK 217Cys->Tyr/3.0327 0.1
VHTECCHGDLLECADDR 302Cys->Tyr/3.0327 0.22
YICENQDSISSK 314Cys->Tyr/3.0327 0.09 0.05 0.04 0.08 0.03 0.08 0.1 0.04
LKECCEKPLLEK 327Cys->Tyr/3.0327 0.04 0.04 0.06 0.05 0.12
LKECCEKPLLEK 328Cys->Tyr/3.0327 0.04
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Spent Media Analysis and Sequence Variant
3
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Introduction of Spent Media Analysis
Nutrients
Salts
VitaminsTrace
Elements
Amino Acids
• Amino acids and nutrients consumed
• Metabolites and by-products secreted
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Purpose of Spent Media Analysis
• Optimize the growth conditions for clones
• Ensure high quality product (Minimize clipping, PTM)
• Maximize productivity (titer)
• Promote high cell viability
• Reduce/eliminate misincorporations (sequence variant)
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Spent Media LC-MS Workflow (Scheduled MRM)
1290 Infinity II LC
UHPLC separation
AdvanceBio MS Spent
Media HILIC Column
A wide range of compound
classes
SCIEX
QTRAP 6500+
Speed and Sensitivity
P-119-T: Andrew Mahan
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Correlating the C->Y to Amino Acids Depletion
Cystine
Tyrosine
Cystine
Tyrosine
Cys & Tyr Feed
Clone 7 Clone 8
Trend plots show the timepoint the depletion started.
1.0e5
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LC-MS Spent Media Analysis and Clone Selection
Allows for the quantitative measure of different classes of metabolites & amino acids in a 20 min LC-
MS run.
LC-MS based Spent Media Analysis
Verifying of misincorporation observed in peptide map analysis.
Monitoring amino acids and metabolites profiles of different clones.
Implementation into Clone Selection
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Theoretical Intact Reconstruction of mAb HC from Peptide Map Degradation QuantificationExperimental LC-MS mAb HC
❖ Can help determine if modifications are stochastic or not.
❖ Quickly compare quantification between bottom up and intact data.
❖ Can elucidate underlying modifications that contribute to Intact LC-
MS peak shape, particularly combinations of modifications.
❖ Can be used to quickly evaluate analysis parameters.
L
C
HC
Intact Mass Reconstruction with Peptide Mapping Data
P-173-T: Andrew C Nichols
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Data Acq.
Integrating Both Workflows Into One Data Analysis Pipeline
Mass-Spec
Instruments
CRO
Peptide ID
Peptide Mapping Based
Product Variant Search
Protein Metrics: BYOS – Master Script for End-to-End Automation
BYOSValidation
Joint
Reporting
Comparison
of
Modifications
Intact Mass Database
Intact Mass Deconvolution
and Peak Annotation
Whole Protein or Subunit
Peptide Mapping
1. Automated data sweep into search software – Vendor Agnostic
2. Extensive Product Variant Search
3. Reduce manual validation time – Define Criteria to flag false-positives
4. Automated export of results
5. Aggregate data with molecule information to build ‘In-house’ knowledge
base
Data Aggregation
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Summary
1. The need for fast sequence variant analysis in cell line development.
2. Automated analysis workflow reduced sequence variant analysis time.
3. LC-MS based spent media analysis provides complimentary information.
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Team
Hirsh Nanda
Andy Mahan
Harsha Gunawardena
Eric Beil
Jeffrey Brelsford
Elsa Gorre
Eric Carlson
Jing Li
Yong J. Kil
Rose Lawler
Andrew Nichols
K.Ilker Sen