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Lian Z, Wang N, Tian Y, Huang L. Characterization of Synthetic Peptide Therapeutics Using Liquid Chromatography-Mass Spectrometry: Challenges, Solutions, Pitfalls, and Future Perspectives. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1852-1860. [PMID: 34110145 DOI: 10.1021/jasms.0c00479] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Synthetic peptides represent an important and expanding class of therapeutics. Despite having a relatively small size as compared to monoclonal antibodies and other proteins, synthetic peptides are subject to many complex structural modifications originating from the starting materials, manufacturing process, and storage conditions. Although mass spectrometry has been increasingly used to characterize impurities of synthetic peptides, systematic review of this field is scarce. In this paper, an overview of the impurities in synthetic peptide therapeutics is provided in the context of how the knowledge from detailed characterization of the impurities using liquid chromatography-mass spectrometry (LC-MS) can be used to develop the manufacturing process and control strategy for synthetic peptide therapeutics following the critical quality attribute (CQA)-driven and risk-based approach. The thresholds for identifying and controlling the impurities are discussed based on currently available regulatory guidance. Specific LC-MS techniques for identification of various types of impurities based on their structural characteristics are discussed with the focus on structural isomers and stereoisomers (i.e., peptide epimers). Absolute and relative quantitation methods for the peptide impurities are critiqued. Potential pitfalls in characterization of synthetic peptide therapeutics using LC-MS are discussed. Finally, a systematic LC-MS workflow for characterizing the impurities in synthetic peptide therapeutics is proposed, and future perspectives on applying emerging LC-MS techniques to address the remaining challenges in the development of synthetic peptide therapeutics are presented.
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Affiliation(s)
- Zhirui Lian
- Bioproducts Research and Development, Lilly Research Laboratories, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, Indiana 46285, United States
| | - Ning Wang
- Bioproducts Research and Development, Lilly Research Laboratories, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, Indiana 46285, United States
| | - Yuwei Tian
- Bioproducts Research and Development, Lilly Research Laboratories, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, Indiana 46285, United States
| | - Lihua Huang
- Bioproducts Research and Development, Lilly Research Laboratories, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, Indiana 46285, United States
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Zhang Z, Chan PK, Richardson J, Shah B. An evaluation of instrument types for mass spectrometry-based multi-attribute analysis of biotherapeutics. MAbs 2021; 12:1783062. [PMID: 32643531 PMCID: PMC7531562 DOI: 10.1080/19420862.2020.1783062] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Multi-attribute methods (MAM), based on proteolytic digestion followed by liquid chromatography-mass spectrometry analysis of proteolytic peptides, have gained substantial attention in the biopharmaceutical industry for quantifying a variety of quality attributes for therapeutic proteins. Most MAM developed so far have been based on high-resolution mass spectrometers, due to their superb resolving power to distinguish analyte signals from interferences. Lower-resolution instruments, if demonstrated suitable, may further promote the adoption of the technology due to their low cost, small footprint, and ease of use. In this work, we compared the performance of a high-resolution instrument with a few low-resolution quadrupole-type instruments in quantifying a diverse set of quality attributes in a monoclonal antibody product. Different modes of operation for the quadrupole instruments, including scan mode, selected-ion monitoring and multiple-reaction monitoring, were evaluated. The high-resolution instrument has superb performance, with a quantitation limit of 0.002%. Single-quadrupole instruments in scan mode, on the other hand, provide a quantitation limit of about 1%, which may be fit-for-purpose for many routine MAM applications.
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Affiliation(s)
- Zhongqi Zhang
- Process Development, Amgen, Inc ., Thousand Oaks, CA, USA
| | - Pik K Chan
- Process Development, Amgen, Inc ., Thousand Oaks, CA, USA
| | | | - Bhavana Shah
- Process Development, Amgen, Inc ., Thousand Oaks, CA, USA
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Evans AR, Hebert AS, Mulholland J, Lewis MJ, Hu P. ID-MAM: A Validated Identity and Multi-Attribute Monitoring Method for Commercial Release and Stability Testing of a Bispecific Antibody. Anal Chem 2021; 93:9166-9173. [PMID: 34161073 DOI: 10.1021/acs.analchem.1c01029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Post-translational modifications (PTMs) that impact the safety or efficacy of protein therapeutics are critical quality attributes (CQAs) that need to be controlled to ensure product quality. Peptide mapping with online mass spectrometry (MS) is a powerful tool that has been used for many years to monitor PTM CQAs during product development. However, operating peptide mapping methods with high-resolution mass spectrometers in GMP compliant, commercial quality control (QC) labs can be difficult. Peptide mapping is also required as an identity test in several countries. To address these two different needs, we utilized high-resolution peptide mapping for comprehensive characterization during development and then developed and validated a targeted multi-attribute monitoring (MAM) method using the low-resolution Waters QDa MS system with a fully automated data processing workflow that is suitable for identity (ID) testing, sequence variant control, and CQA quantitation in commercial QC labs. The ID-MAM method was validated for the quantitation of three selected PTM CQAs (CDR isomerization, Fc Met oxidation, and CDR Met oxidation) to ensure control of the oxidation and isomerization degradation pathways of a bispecific antibody (BsAb). This ID-MAM method was successfully validated in six labs (three analytical development and three QC labs) across four countries for commercial release and stability testing of a BsAb. CQA results obtained with the ID-MAM method were similar to results obtained using high-resolution peptide mapping, and the method was robust and reproducible. To our knowledge, this ID-MAM method is the first MS-based peptide mapping method implemented in GMP compliant QC labs for commercial release and stability testing of a biotherapeutic.
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Affiliation(s)
- Adam R Evans
- BioTherapeutics Development & Supply-Analytical Development, Janssen Research and Development, LLC, Malvern, Pennsylvania 19355, United States
| | - Alexander S Hebert
- BioTherapeutics Development & Supply-Analytical Development, Janssen Research and Development, LLC, Malvern, Pennsylvania 19355, United States
| | - Joseph Mulholland
- BioTherapeutics Development & Supply-Analytical Development, Janssen Research and Development, LLC, Malvern, Pennsylvania 19355, United States
| | - Michael J Lewis
- BioTherapeutics Development & Supply-Analytical Development, Janssen Research and Development, LLC, Malvern, Pennsylvania 19355, United States
| | - Ping Hu
- BioTherapeutics Development & Supply-Analytical Development, Janssen Research and Development, LLC, Malvern, Pennsylvania 19355, United States
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Martelet A, Garrigue V, Zhang Z, Genet B, Guttman A. Multi-attribute method based characterization of antibody drug conjugates (ADC) at the intact and subunit levels. J Pharm Biomed Anal 2021; 201:114094. [PMID: 33957368 DOI: 10.1016/j.jpba.2021.114094] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 04/07/2021] [Accepted: 04/19/2021] [Indexed: 01/06/2023]
Abstract
Antibody-drug conjugates (ADCs) represent an important class of new biopharmaceutical modalities. ADCs are highly complex and heterogeneous molecules, potentially containing numerous product-related structures, that can contribute to the quality, efficacy and safety of the product. To keep up with product life cycle related changes, wide-range and targeted characterization of product quality attributes (PQA) are of high demand. Multi-attribute methods (MAM) can screen numerous PQAs in a parallel fashion including product properties as well as product and process-related impurities. MAM is usually based on a bottom-up approach relying on the enzymatic digestion of the protein into peptides prior to mass spectrometry (MS). However, this processing workflow can result in considerable information loss, such as the drug distribution profile of an antibody-drug conjugate. Therefore, complementary MAM approaches, based on subunit and intact mass analyses, are necessary approaches offering the advantage of product identity confirmation, quantification of the different conjugated species and monitoring the drug-to-antibody ratio at the same time. In this work we introduce a high throughput MS based attribute tracking method for ADC characterization at the intact and subunit levels by simultaneously monitoring multiple PQAs. The workflow includes sample preparation and MS instrument suitability testing for heterogeneous lysine-linked ADCs, software solutions for routine PQAs tracking, method repeatability and an easy data review fitting perfectly into high throughput analyses. As methionine oxidation is one of the modifications that should be closely monitored at any step of process development, an important application to oxidative stress evaluation using forced degradation demonstrated the applicability of the workflow.
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Mouchahoir T, Schiel JE, Rogers R, Heckert A, Place BJ, Ammerman A, Li X, Robinson T, Schmidt B, Chumsae CM, Li X, Manuilov AV, Yan B, Staples GO, Ren D, Veach AJ, Wang D, Yared W, Sosic Z, Wang Y, Zang L, Leone AM, Liu P, Ludwig R, Tao L, Wu W, Cansizoglu A, Hanneman A, Adams GW, Perdivara I, Walker H, Wilson M, Brandenburg A, DeGraan-Weber N, Gotta S, Shambaugh J, Alvarez M, Yu XC, Cao L, Shao C, Mahan A, Nanda H, Nields K, Nightlinger N, Barysz HM, Jahn M, Niu B, Wang J, Leo G, Sepe N, Liu YH, Patel BA, Richardson D, Wang Y, Tizabi D, Borisov OV, Lu Y, Maynard EL, Gruhler A, Haselmann KF, Krogh TN, Sönksen CP, Letarte S, Shen S, Boggio K, Johnson K, Ni W, Patel H, Ripley D, Rouse JC, Zhang Y, Daniels C, Dawdy A, Friese O, Powers TW, Sperry JB, Woods J, Carlson E, Sen KI, Skilton SJ, Busch M, Lund A, Stapels M, Guo X, Heidelberger S, Kaluarachchi H, McCarthy S, Kim J, Zhen J, Zhou Y, Rogstad S, Wang X, Fang J, Chen W, Yu YQ, Hoogerheide JG, Scott R, Yuan H. New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:913-928. [PMID: 33710905 DOI: 10.1021/jasms.0c00415] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
The Multi-Attribute Method (MAM) Consortium was initially formed as a venue to harmonize best practices, share experiences, and generate innovative methodologies to facilitate widespread integration of the MAM platform, which is an emerging ultra-high-performance liquid chromatography-mass spectrometry application. Successful implementation of MAM as a purity-indicating assay requires new peak detection (NPD) of potential process- and/or product-related impurities. The NPD interlaboratory study described herein was carried out by the MAM Consortium to report on the industry-wide performance of NPD using predigested samples of the NISTmAb Reference Material 8671. Results from 28 participating laboratories show that the NPD parameters being utilized across the industry are representative of high-resolution MS performance capabilities. Certain elements of NPD, including common sources of variability in the number of new peaks detected, that are critical to the performance of the purity function of MAM were identified in this study and are reported here as a means to further refine the methodology and accelerate adoption into manufacturer-specific protein therapeutic product life cycles.
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Affiliation(s)
- Trina Mouchahoir
- National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
- Institute for Bioscience and Biotechnology Research, 9600 Gudelsky Drive, Rockville, Maryland 20850, United States
| | - John E Schiel
- National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
- Institute for Bioscience and Biotechnology Research, 9600 Gudelsky Drive, Rockville, Maryland 20850, United States
| | - Rich Rogers
- Just - Evotech Biologics, 401 Terry Avenue N, Seattle, Washington 98109, United States
| | - Alan Heckert
- National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Benjamin J Place
- National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Aaron Ammerman
- AbbVie, 1500 Seaport Boulevard, Redwood City, California 94063, United States
| | - Xiaoxiao Li
- AbbVie, 1500 Seaport Boulevard, Redwood City, California 94063, United States
| | - Tom Robinson
- AbbVie, 1500 Seaport Boulevard, Redwood City, California 94063, United States
| | - Brian Schmidt
- AbbVie, 1500 Seaport Boulevard, Redwood City, California 94063, United States
| | - Chris M Chumsae
- AbbVie, 100 Research Drive, Worcester, Massachusetts 01605, United States
| | - Xinbi Li
- AbbVie, 100 Research Drive, Worcester, Massachusetts 01605, United States
| | - Anton V Manuilov
- AbbVie, 100 Research Drive, Worcester, Massachusetts 01605, United States
| | - Bo Yan
- AbbVie, 100 Research Drive, Worcester, Massachusetts 01605, United States
| | - Gregory O Staples
- Agilent Technologies, 5301 Stevens Creek Boulevard, Santa Clara, California 95008, United States
| | - Da Ren
- Amgen, One Amgen Center Drive, Thousand Oaks, California 91320, United States
| | - Alexander J Veach
- Amgen, One Amgen Center Drive, Thousand Oaks, California 91320, United States
| | - Dongdong Wang
- BioAnalytix, 790 Memorial Drive, Cambridge, Massachusetts 02139, United States
| | - Wael Yared
- BioAnalytix, 790 Memorial Drive, Cambridge, Massachusetts 02139, United States
| | - Zoran Sosic
- Biogen, 125 Broadway, Cambridge, Massachusetts 02142, United States
| | - Yan Wang
- Biogen, 125 Broadway, Cambridge, Massachusetts 02142, United States
| | - Li Zang
- Biogen, 125 Broadway, Cambridge, Massachusetts 02142, United States
| | - Anthony M Leone
- Bristol-Myers Squibb, 311 Pennington-Rocky Hill Road, Pennington, New Jersey 08534, United States
| | - Peiran Liu
- Bristol-Myers Squibb, 311 Pennington-Rocky Hill Road, Pennington, New Jersey 08534, United States
| | - Richard Ludwig
- Bristol-Myers Squibb, 311 Pennington-Rocky Hill Road, Pennington, New Jersey 08534, United States
| | - Li Tao
- Bristol-Myers Squibb, 311 Pennington-Rocky Hill Road, Pennington, New Jersey 08534, United States
| | - Wei Wu
- Bristol-Myers Squibb, 311 Pennington-Rocky Hill Road, Pennington, New Jersey 08534, United States
| | - Ahmet Cansizoglu
- Charles River Laboratories, 8 Henshaw Street, Shrewsbury, Massachusetts 01801, United States
| | - Andrew Hanneman
- Charles River Laboratories, 8 Henshaw Street, Shrewsbury, Massachusetts 01801, United States
| | - Greg W Adams
- FUJIFILM Diosynth Biotechnologies, 101 J. Morris Commons Lane, Morrisville, North Carolina 27560, United States
| | - Irina Perdivara
- FUJIFILM Diosynth Biotechnologies, 101 J. Morris Commons Lane, Morrisville, North Carolina 27560, United States
| | - Hunter Walker
- FUJIFILM Diosynth Biotechnologies, 101 J. Morris Commons Lane, Morrisville, North Carolina 27560, United States
| | - Margo Wilson
- FUJIFILM Diosynth Biotechnologies, 101 J. Morris Commons Lane, Morrisville, North Carolina 27560, United States
| | | | - Nick DeGraan-Weber
- Genedata, 750 Marrett Road, One Cranberry Hill, Lexington, Massachusetts 02421, United States
| | - Stefano Gotta
- Genedata, Margarethenstrasse 38, Basel 4053, Switzerland
| | - Joe Shambaugh
- Genedata, 750 Marrett Road, One Cranberry Hill, Lexington, Massachusetts 02421, United States
| | - Melissa Alvarez
- Genentech, 1 DNA Way, South San Francisco, California 94080, United States
| | - X Christopher Yu
- Genentech, 1 DNA Way, South San Francisco, California 94080, United States
| | - Li Cao
- GSK, 709 Swedeland Road, King of Prussia, Pennsylvania 19406, United States
| | - Chun Shao
- GSK, 709 Swedeland Road, King of Prussia, Pennsylvania 19406, United States
| | - Andrew Mahan
- Janssen, 1400 McKean Road, Springhouse, Pennsylvania 19477, United States
| | - Hirsh Nanda
- Janssen, 1400 McKean Road, Springhouse, Pennsylvania 19477, United States
| | - Kristen Nields
- Janssen, 1400 McKean Road, Springhouse, Pennsylvania 19477, United States
| | - Nancy Nightlinger
- Just - Evotech Biologics, 401 Terry Avenue N, Seattle, Washington 98109, United States
| | | | - Michael Jahn
- Lonza, Hochbergerstrasse 60 A, Basel 4057, Switzerland
| | - Ben Niu
- AstraZeneca, One MedImmune Way, Gaithersburg, Maryland 20878, United States
| | - Jihong Wang
- AstraZeneca, One MedImmune Way, Gaithersburg, Maryland 20878, United States
| | - Gabriella Leo
- EMD Serono, an affiliate of Merck KGaA, Darmstadt, Germany, Via Luigi Einaudi 11, Guidonia Montecelio (Roma) 00012, Italy
| | - Nunzio Sepe
- EMD Serono, an affiliate of Merck KGaA, Darmstadt, Germany, Via Luigi Einaudi 11, Guidonia Montecelio (Roma) 00012, Italy
| | - Yan-Hui Liu
- Merck & Co., Inc., 2000 Galloping Hill Roa, Kenilworth, New Jersey 07033, United States
| | - Bhumit A Patel
- Merck & Co., Inc., 2000 Galloping Hill Roa, Kenilworth, New Jersey 07033, United States
| | - Douglas Richardson
- Merck & Co., Inc., 2000 Galloping Hill Roa, Kenilworth, New Jersey 07033, United States
| | - Yi Wang
- Merck & Co., Inc., 2000 Galloping Hill Roa, Kenilworth, New Jersey 07033, United States
| | - Daniela Tizabi
- National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
- Institute for Bioscience and Biotechnology Research, 9600 Gudelsky Drive, Rockville, Maryland 20850, United States
| | - Oleg V Borisov
- Novavax, Inc., 20 Firstfield Road, Gaithersburg, Maryland 20878, United States
| | - Yali Lu
- Novavax, Inc., 20 Firstfield Road, Gaithersburg, Maryland 20878, United States
| | - Ernest L Maynard
- Novavax, Inc., 20 Firstfield Road, Gaithersburg, Maryland 20878, United States
| | | | | | | | | | - Simon Letarte
- Pfizer, 375 North Field Drive, Lake Forest, Illinois 60045, United States
| | - Sean Shen
- Pfizer, 375 North Field Drive, Lake Forest, Illinois 60045, United States
| | - Kristin Boggio
- Pfizer, 1 Burtt Road, Andover, Massachusetts 01810, United States
| | - Keith Johnson
- Pfizer, 1 Burtt Road, Andover, Massachusetts 01810, United States
| | - Wenqin Ni
- Pfizer, 1 Burtt Road, Andover, Massachusetts 01810, United States
| | - Himakshi Patel
- Pfizer, 1 Burtt Road, Andover, Massachusetts 01810, United States
| | - David Ripley
- Pfizer, 1 Burtt Road, Andover, Massachusetts 01810, United States
| | - Jason C Rouse
- Pfizer, 1 Burtt Road, Andover, Massachusetts 01810, United States
| | - Ying Zhang
- Pfizer, 1 Burtt Road, Andover, Massachusetts 01810, United States
| | - Carly Daniels
- Pfizer, 700 Chesterfield Parkway West, Chesterfield, Missouri 63017, United States
| | - Andrew Dawdy
- Pfizer, 700 Chesterfield Parkway West, Chesterfield, Missouri 63017, United States
| | - Olga Friese
- Pfizer, 700 Chesterfield Parkway West, Chesterfield, Missouri 63017, United States
| | - Thomas W Powers
- Pfizer, 700 Chesterfield Parkway West, Chesterfield, Missouri 63017, United States
| | - Justin B Sperry
- Pfizer, 700 Chesterfield Parkway West, Chesterfield, Missouri 63017, United States
| | - Josh Woods
- Pfizer, 700 Chesterfield Parkway West, Chesterfield, Missouri 63017, United States
| | - Eric Carlson
- Protein Metrics, Inc., 20863 Stevens Creek Boulevard, Cupertino, California 95014, United States
| | - K Ilker Sen
- Protein Metrics, Inc., 20863 Stevens Creek Boulevard, Cupertino, California 95014, United States
| | - St John Skilton
- Protein Metrics, Inc., 20863 Stevens Creek Boulevard, Cupertino, California 95014, United States
| | - Michelle Busch
- Sanofi, 1 The Mountain Road, Framingham, Massachusetts 01701, United States
| | - Anders Lund
- Sanofi, 1 The Mountain Road, Framingham, Massachusetts 01701, United States
| | - Martha Stapels
- Sanofi, 1 The Mountain Road, Framingham, Massachusetts 01701, United States
| | - Xu Guo
- SCIEX, 71 Four Valley Drive, Concord, ON L4K 4 V8, Canada
| | | | | | - Sean McCarthy
- SCIEX, 500 Old Connecticut Path, Framingham, Massachusetts 01701, United States
| | - John Kim
- Teva, 145 Brandywine Pkwy, West Chester, Pennsylvania 19380, United States
| | - Jing Zhen
- Teva, 145 Brandywine Pkwy, West Chester, Pennsylvania 19380, United States
| | - Ying Zhou
- Teva, 145 Brandywine Pkwy, West Chester, Pennsylvania 19380, United States
| | - Sarah Rogstad
- U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, Maryland 20993, United States
| | - Xiaoshi Wang
- U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, Maryland 20993, United States
| | - Jing Fang
- Waters, 34 Maple Street, Milford, Massachusetts 01757, United States
| | - Weibin Chen
- Waters, 34 Maple Street, Milford, Massachusetts 01757, United States
| | - Ying Qing Yu
- Waters, 34 Maple Street, Milford, Massachusetts 01757, United States
| | | | - Rebecca Scott
- Zoetis, 333 Portage Street, Kalamazoo, Michigan 49007, United States
| | - Hua Yuan
- Zoetis, 333 Portage Street, Kalamazoo, Michigan 49007, United States
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Evaluation of protein secondary structure from FTIR spectra improved after partial deuteration. EUROPEAN BIOPHYSICS JOURNAL: EBJ 2021; 50:613-628. [PMID: 33534058 PMCID: PMC8189984 DOI: 10.1007/s00249-021-01502-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/08/2021] [Accepted: 01/13/2021] [Indexed: 11/11/2022]
Abstract
FTIR spectroscopy has become a major tool to determine protein secondary structure. One of the identified obstacle for reaching better predictions is the strong overlap of bands assigned to different secondary structures. Yet, while for instance disordered structures and α-helical structures absorb almost at the same wavenumber, the absorbance bands are differentially shifted upon deuteration, in part because exchange is much faster for disordered structures. We recorded the FTIR spectra of 85 proteins at different stages of hydrogen/deuterium exchange process using protein microarrays and infrared imaging for high throughput measurements. Several methods were used to relate spectral shape to secondary structure content. While in absolute terms, β-sheet is always better predicted than α-helix content, results consistently indicate an improvement of secondary structure predictions essentially for the α-helix and the category called “Others” (grouping random, turns, bends, etc.) after 15 min of exchange. On the contrary, the β-sheet fraction is better predicted in non-deuterated conditions. Using partial least square regression, the error of prediction for the α-helix content is reduced after 15-min deuteration. Further deuteration degrades the prediction. Error on the prediction for the “Others” structures also decreases after 15-min deuteration. Cross-validation or a single 25-protein test set result in the same overall conclusions.
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57
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Camperi J, Goyon A, Guillarme D, Zhang K, Stella C. Multi-dimensional LC-MS: the next generation characterization of antibody-based therapeutics by unified online bottom-up, middle-up and intact approaches. Analyst 2021; 146:747-769. [DOI: 10.1039/d0an01963a] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
This review presents an overview of current analytical trends in antibody characterization by multidimensional LC-MS approaches.
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Affiliation(s)
- Julien Camperi
- Department of Protein Analytical Chemistry
- Genentech Inc
- South San Francisco
- USA
| | - Alexandre Goyon
- Department of Small Molecule Analytical Chemistry
- Genentech Inc
- South San Francisco
- USA
| | - Davy Guillarme
- School of Pharmaceutical Sciences
- University of Geneva
- 1206 Geneva
- Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO)
| | - Kelly Zhang
- Department of Small Molecule Analytical Chemistry
- Genentech Inc
- South San Francisco
- USA
| | - Cinzia Stella
- Department of Protein Analytical Chemistry
- Genentech Inc
- South San Francisco
- USA
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58
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Auclair J, Rathore AS. The Multi-Attribute Method (MAM) for the Characterization of Biopharmaceuticals. LCGC NORTH AMERICA 2021. [DOI: 10.56530/lcgc.na.gi5577l2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Over the last decade or so, biopharmaceuticals have gained market share and become more complex in their composition. Therefore, new analytical workflows are needed to address these advances, and one of those workflows that has gained substantial traction over the last several years is the multi-attribute method (MAM). MAM was originally developed to be used throughout the product life cycle, from process development through quality control, and has become even more popular as quality by design (QbD) has become a more prevalent approach for biopharmaceutical development. MAM is designed to monitor critical quality attributes (CQAs) simultaneously and directly, such as sequence, post-translational modifications, and impurities, making it a more streamlined and productive workflow for biopharmaceutical analysis. In this column, we will discuss the role of liquid chromatography and mass spectrometry in MAM, as well as other new technologies and anticipated advances of MAM that are on the horizon.
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59
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Schilling M, Feng P, Sosic Z, Traviglia SL. Development and validation of a platform reduced intact mass method for process monitoring of monoclonal antibody glycosylation during routine manufacturing. Bioengineered 2020; 11:1301-1312. [PMID: 33201770 PMCID: PMC8291849 DOI: 10.1080/21655979.2020.1842651] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
N-linked glycosylation is a primary source of heterogeneity associated with recombinant monoclonal antibodies and plays a key role in a myriad of drug properties associated with biological function. The glycosylation profile of recombinant monoclonal antibodies is influenced by an array of cell culture inputs which must be carefully controlled in order to engineer the desired glycan distribution. A platform reduced intact mass method applied to monoclonal antibodies has been validated as a quantitative method to monitor the relative mannose-5 level as a surrogate for overall high mannose content in cell culture as a control strategy to ensure product quality and process consistency. The method was shown to be linear, accurate, specific, and precise for an IgG1 and IgG4 mAb allowing relative quantitation of mannose-5 in the range 0.8-11.0% and 1.0-6.2%, respectively. The method can be applied at several stages of the production process from cell culture harvest to drug substance/drug product and is amenable to routine GMP batch testing in a quality control laboratory. Testing upstream during cell culture rather than for product release allows for an earlier assessment of product quality as the glycosylation profile remains unchanged during downstream purification.
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Affiliation(s)
| | - Pamela Feng
- Analytical Development, Biogen, Inc ., Cambridge, MA, USA
| | - Zoran Sosic
- Analytical Development, Biogen, Inc ., Cambridge, MA, USA
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60
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Advancing Mass Spectrometry Technology in cGMP Environments. Trends Biotechnol 2020; 38:1051-1053. [DOI: 10.1016/j.tibtech.2020.06.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 06/09/2020] [Accepted: 06/15/2020] [Indexed: 11/21/2022]
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Srzentić K, Fornelli L, Tsybin YO, Loo JA, Seckler H, Agar JN, Anderson LC, Bai DL, Beck A, Brodbelt JS, van der Burgt YEM, Chamot-Rooke J, Chatterjee S, Chen Y, Clarke DJ, Danis PO, Diedrich JK, D'Ippolito RA, Dupré M, Gasilova N, Ge Y, Goo YA, Goodlett DR, Greer S, Haselmann KF, He L, Hendrickson CL, Hinkle JD, Holt MV, Hughes S, Hunt DF, Kelleher NL, Kozhinov AN, Lin Z, Malosse C, Marshall AG, Menin L, Millikin RJ, Nagornov KO, Nicolardi S, Paša-Tolić L, Pengelley S, Quebbemann NR, Resemann A, Sandoval W, Sarin R, Schmitt ND, Shabanowitz J, Shaw JB, Shortreed MR, Smith LM, Sobott F, Suckau D, Toby T, Weisbrod CR, Wildburger NC, Yates JR, Yoon SH, Young NL, Zhou M. Interlaboratory Study for Characterizing Monoclonal Antibodies by Top-Down and Middle-Down Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:1783-1802. [PMID: 32812765 PMCID: PMC7539639 DOI: 10.1021/jasms.0c00036] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
The Consortium for Top-Down Proteomics (www.topdownproteomics.org) launched the present study to assess the current state of top-down mass spectrometry (TD MS) and middle-down mass spectrometry (MD MS) for characterizing monoclonal antibody (mAb) primary structures, including their modifications. To meet the needs of the rapidly growing therapeutic antibody market, it is important to develop analytical strategies to characterize the heterogeneity of a therapeutic product's primary structure accurately and reproducibly. The major objective of the present study is to determine whether current TD/MD MS technologies and protocols can add value to the more commonly employed bottom-up (BU) approaches with regard to confirming protein integrity, sequencing variable domains, avoiding artifacts, and revealing modifications and their locations. We also aim to gather information on the common TD/MD MS methods and practices in the field. A panel of three mAbs was selected and centrally provided to 20 laboratories worldwide for the analysis: Sigma mAb standard (SiLuLite), NIST mAb standard, and the therapeutic mAb Herceptin (trastuzumab). Various MS instrument platforms and ion dissociation techniques were employed. The present study confirms that TD/MD MS tools are available in laboratories worldwide and provide complementary information to the BU approach that can be crucial for comprehensive mAb characterization. The current limitations, as well as possible solutions to overcome them, are also outlined. A primary limitation revealed by the results of the present study is that the expert knowledge in both experiment and data analysis is indispensable to practice TD/MD MS.
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Affiliation(s)
- Kristina Srzentić
- Northwestern University, Evanston, Illinois 60208-0001, United States
| | - Luca Fornelli
- Northwestern University, Evanston, Illinois 60208-0001, United States
| | - Yury O Tsybin
- Spectroswiss, EPFL Innovation Park, Building I, 1015 Lausanne, Switzerland
| | - Joseph A Loo
- University of California-Los Angeles, Los Angeles, California 90095, United States
| | - Henrique Seckler
- Northwestern University, Evanston, Illinois 60208-0001, United States
| | - Jeffrey N Agar
- Northeastern University, Boston, Massachusetts 02115, United States
| | - Lissa C Anderson
- National High Magnetic Field Laboratory, Tallahassee, Florida 32310, United States
| | - Dina L Bai
- University of Virginia, Charlottesville, Virginia 22901, United States
| | - Alain Beck
- Centre d'immunologie Pierre Fabre, 74160 Saint-Julien-en-Genevois, France
| | | | | | | | | | - Yunqiu Chen
- Biogen, Inc., Cambridge, Massachusetts 02142-1031, United States
| | - David J Clarke
- The University of Edinburgh, EH9 3FJ Edinburgh, United Kingdom
| | - Paul O Danis
- Consortium for Top-Down Proteomics, Cambridge, Massachusetts 02142, United States
| | - Jolene K Diedrich
- The Scripps Research Institute, La Jolla, California 92037, United States
| | | | | | - Natalia Gasilova
- Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Ying Ge
- University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Young Ah Goo
- University of Maryland, Baltimore, Maryland 21201, United States
| | - David R Goodlett
- University of Maryland, Baltimore, Maryland 21201, United States
| | - Sylvester Greer
- University of Texas at Austin, Austin, Texas 78712-1224, United States
| | | | - Lidong He
- National High Magnetic Field Laboratory, Tallahassee, Florida 32310, United States
| | | | - Joshua D Hinkle
- University of Virginia, Charlottesville, Virginia 22901, United States
| | - Matthew V Holt
- Baylor College of Medicine, Houston, Texas 77030-3411, United States
| | - Sam Hughes
- The University of Edinburgh, EH9 3FJ Edinburgh, United Kingdom
| | - Donald F Hunt
- University of Virginia, Charlottesville, Virginia 22901, United States
| | - Neil L Kelleher
- Northwestern University, Evanston, Illinois 60208-0001, United States
| | - Anton N Kozhinov
- Spectroswiss, EPFL Innovation Park, Building I, 1015 Lausanne, Switzerland
| | - Ziqing Lin
- University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | | | - Alan G Marshall
- National High Magnetic Field Laboratory, Tallahassee, Florida 32310, United States
- Florida State University, Tallahassee, Florida 32310-4005, United States
| | - Laure Menin
- Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Robert J Millikin
- University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | | | - Simone Nicolardi
- Leiden University Medical Centre, 2300 RC Leiden, The Netherlands
| | - Ljiljana Paša-Tolić
- Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | | | - Neil R Quebbemann
- University of California-Los Angeles, Los Angeles, California 90095, United States
| | | | - Wendy Sandoval
- Genentech, Inc., South San Francisco, California 94080-4990, United States
| | - Richa Sarin
- Biogen, Inc., Cambridge, Massachusetts 02142-1031, United States
| | | | | | - Jared B Shaw
- Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | | | - Lloyd M Smith
- University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Frank Sobott
- University of Antwerp, 2000 Antwerp, Belgium
- University of Leeds, LS2 9JT Leeds, United Kingdom
| | | | - Timothy Toby
- Northwestern University, Evanston, Illinois 60208-0001, United States
| | - Chad R Weisbrod
- National High Magnetic Field Laboratory, Tallahassee, Florida 32310, United States
| | - Norelle C Wildburger
- Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - John R Yates
- The Scripps Research Institute, La Jolla, California 92037, United States
| | - Sung Hwan Yoon
- University of Maryland, Baltimore, Maryland 21201, United States
| | - Nicolas L Young
- Baylor College of Medicine, Houston, Texas 77030-3411, United States
| | - Mowei Zhou
- Pacific Northwest National Laboratory, Richland, Washington 99354, United States
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62
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Wasalathanthri DP, Rehmann MS, Song Y, Gu Y, Mi L, Shao C, Chemmalil L, Lee J, Ghose S, Borys MC, Ding J, Li ZJ. Technology outlook for real‐time quality attribute and process parameter monitoring in biopharmaceutical development—A review. Biotechnol Bioeng 2020; 117:3182-3198. [DOI: 10.1002/bit.27461] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 05/30/2020] [Accepted: 06/11/2020] [Indexed: 12/11/2022]
Affiliation(s)
| | - Matthew S. Rehmann
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Yuanli Song
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Yan Gu
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Luo Mi
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Chun Shao
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Letha Chemmalil
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Jongchan Lee
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Sanchayita Ghose
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Michael C. Borys
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Julia Ding
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Zheng Jian Li
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
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63
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Recent advances in LC–MS based characterization of protein-based bio-therapeutics – mastering analytical challenges posed by the increasing format complexity. J Pharm Biomed Anal 2020; 186:113251. [DOI: 10.1016/j.jpba.2020.113251] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 03/05/2020] [Accepted: 03/09/2020] [Indexed: 12/25/2022]
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64
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Ying Y, Li H. Recent progress in the analysis of protein deamidation using mass spectrometry. Methods 2020; 200:42-57. [PMID: 32544593 DOI: 10.1016/j.ymeth.2020.06.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/15/2020] [Accepted: 06/11/2020] [Indexed: 02/06/2023] Open
Abstract
Deamidation is a nonenzymatic and spontaneous posttranslational modification (PTM) that introduces changes in both structure and charge of proteins, strongly associated with aging proteome instability and degenerative diseases. Deamidation is also a common PTM occurring in biopharmaceutical proteins, representing a major cause of degradation. Therefore, characterization of deamidation alongside its inter-related modifications, isomerization and racemization, is critically important to understand their roles in protein stability and diseases. Mass spectrometry (MS) has become an indispensable tool in site-specific identification of PTMs for proteomics and structural studies. In this review, we focus on the recent advances of MS analysis in protein deamidation. In particular, we provide an update on sample preparation, chromatographic separation, and MS technologies at multi-level scales, for accurate and reliable characterization of protein deamidation in both simple and complex biological samples, yielding important new insight on how deamidation together with isomerization and racemization occurs. These technological progresses will lead to a better understanding of how deamidation contributes to the pathology of aging and other degenerative diseases and the development of biopharmaceutical drugs.
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Affiliation(s)
- Yujia Ying
- School of Pharmaceutical Sciences, University of Sun Yat-sen University, No.132 Wai Huan Dong Lu, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; School of Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, China
| | - Huilin Li
- School of Pharmaceutical Sciences, University of Sun Yat-sen University, No.132 Wai Huan Dong Lu, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510006, China.
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65
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Buettner A, Maier M, Bonnington L, Bulau P, Reusch D. Multi-Attribute Monitoring of Complex Erythropoetin Beta Glycosylation by GluC Liquid Chromatography-Mass Spectrometry Peptide Mapping. Anal Chem 2020; 92:7574-7580. [PMID: 32426963 DOI: 10.1021/acs.analchem.0c00124] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Recombinant human erythropoetin (EPO) is an important biopharmaceutical mainly used for the treatment of anemia. It is highly heterogeneous because of common amino acid chemical degradations known to occur in protein therapeutics (e.g., oxidation and deamidation) and its complex glycosylation profile. Recently, multi-attribute monitoring (MAM), i.e., the quantification of multiple post-translational and chemical modifications in a single peptide mapping liquid chromatography-mass spectrometry (LC-MS)-based method, has received increased attention for the analysis of antibody-like biotherapeutic proteins. In this study, an MAM method for examination of residue-specific glycan profiles of EPO was established. The MAM method, by virtue of the increased sensitivity and selectivity provided with LC-MS, yielded additional site-specific information not afforded by the conventional quality control (QC) methods. Low abundant glycans as well as additional post-translational and chemical modifications could also be simultaneously detected by the MAM method. Our results demonstrate that desialylated N-oligosaccharides (DeNO) and N-acetylneuraminic acids (Neu5Ac) could be monitored by the developed MAM approach with data readout highly comparable to QC methods, while differences were observed for charge isoform distribution. In summary, the comparative data obtained demonstrate that MAM by LC-MS peptide mapping can, in principle, adequately replace selected QC methods and would add value to the in-process control and release testing strategy of EPO.
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Affiliation(s)
- Alexander Buettner
- Pharma Technical Development, Roche Diagnostics GmbH, Penzberg 82377, Germany
| | - Maria Maier
- Pharma Technical Development, Roche Diagnostics GmbH, Penzberg 82377, Germany
| | - Lea Bonnington
- Pharma Technical Development, Roche Diagnostics GmbH, Penzberg 82377, Germany
| | - Patrick Bulau
- Pharma Technical Development, Roche Diagnostics GmbH, Penzberg 82377, Germany
| | - Dietmar Reusch
- Pharma Technical Development, Roche Diagnostics GmbH, Penzberg 82377, Germany
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66
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Campuzano IDG, Nshanian M, Spahr C, Lantz C, Netirojjanakul C, Li H, Wongkongkathep P, Wolff JJ, Loo JA. High Mass Analysis with a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer: From Inorganic Salt Clusters to Antibody Conjugates and Beyond. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:1155-1162. [PMID: 32196330 PMCID: PMC7261417 DOI: 10.1021/jasms.0c00030] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Analysis of proteins and complexes under native mass spectrometric (MS) and solution conditions was typically performed using time-of-flight (ToF) analyzers, due to their routine high m/z transmission and detection capabilities. However, over recent years, the ability of Orbitrap-based mass spectrometers to transmit and detect a range of high molecular weight species is well documented. Herein, we describe how a 15 Tesla Fourier transform ion cyclotron resonance mass spectrometer (15 T FT-ICR MS) is more than capable of analyzing a wide range of ions in the high m/z scale (>5000), in both positive and negative instrument polarities, ranging from the inorganic cesium iodide salt clusters; a humanized IgG1k monoclonal antibody (mAb; 148.2 kDa); an IgG1-mertansine drug conjugate (148.5 kDa, drug-to-antibody ratio; DAR 2.26); an IgG1-siRNA conjugate (159.1 kDa; ribonucleic acid to antibody ratio; RAR 1); the membrane protein aquaporin-Z (97.2 kDa) liberated from a C8E4 detergent micelle; the empty MSP1D1-nanodisc (142.5 kDa) and the tetradecameric chaperone protein complex GroEL (806.2 kDa; GroEL dimer at 1.6 MDa). We also investigate different regions of the FT-ICR MS that impact ion transmission and desolvation. Finally, we demonstrate how the transmission of these species and resultant spectra are highly consistent with those previously generated on both quadrupole-ToF (Q-ToF) and Orbitrap instrumentation. This report serves as an impactful example of how FT-ICR mass analyzers are competitive to Q-ToFs and Orbitraps for high mass detection at high m/z.
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Affiliation(s)
| | - Michael Nshanian
- Department of Chemistry and Biochemistry, and Department of Biological Chemistry, University of California-Los Angeles, Los Angeles, California 90095, United States
| | - Christopher Spahr
- Amgen Research, Amgen Inc, Thousand Oaks, California 91320, United States
| | - Carter Lantz
- Department of Chemistry and Biochemistry, and Department of Biological Chemistry, University of California-Los Angeles, Los Angeles, California 90095, United States
| | | | - Huilin Li
- Department of Chemistry and Biochemistry, and Department of Biological Chemistry, University of California-Los Angeles, Los Angeles, California 90095, United States
| | - Piriya Wongkongkathep
- Department of Chemistry and Biochemistry, and Department of Biological Chemistry, University of California-Los Angeles, Los Angeles, California 90095, United States
| | - Jeremy J. Wolff
- Bruker Daltonics Inc, Billerica, Massachusetts 01821, United States
| | - Joseph A. Loo
- Department of Chemistry and Biochemistry, and Department of Biological Chemistry, University of California-Los Angeles, Los Angeles, California 90095, United States
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67
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High-throughput antibody screening from complex matrices using intact protein electrospray mass spectrometry. Proc Natl Acad Sci U S A 2020; 117:9851-9856. [PMID: 32327606 PMCID: PMC7211930 DOI: 10.1073/pnas.1917383117] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
While electrospray ionization–mass spectrometry (ESI-MS) provides higher resolution for larger proteins, the conventional liquid chromatography (LC)-MS method suffers from low throughput. Our described RapidFire-MS workflow demonstrated unprecedented screening throughput as fast as 15 s/sample, a 10-fold improvement over conventional LC-MS approaches. The screening enabled selection of clones with the highest purity of bispecific antibody production with intact masses as accurate as 7 ppm with baseline resolution at the glycoform level in samples as complex as plasma sample. The utility of the method can be expanded to many other applications that can exploit the advantages of high-throughput intact protein MS analyses including but not limited to pharmacokinetic analyses, enzymatic screening, biotransformation characterization, and quality control screening. Toward the goal of increasing the throughput of high-resolution mass characterization of intact antibodies, we developed a RapidFire–mass spectrometry (MS) assay using electrospray ionization. We achieved unprecedented screening throughput as fast as 15 s/sample, which is an order of magnitude improvement over conventional liquid chromatography (LC)-MS approaches. The screening enabled intact mass determination as accurate as 7 ppm with baseline resolution at the glycoform level for intact antibodies. We utilized this assay to characterize and perform relative quantitation of antibody species from 248 samples of 62 different cell line clones at four time points in 2 h using RapidFire–time-of-flight MS screening. The screening enabled selection of clones with the highest purity of bispecific antibody production and the results significantly correlated with conventional LC-MS results. In addition, analyzing antibodies from a complex plasma sample using affinity-RapidFire-MS was also demonstrated and qualified. In summary, the platform affords high-throughput analyses of antibodies, including bispecific antibodies and potential mispaired side products, in cell culture media, or other complex matrices.
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68
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Combination of intact, middle-up and bottom-up levels to characterize 7 therapeutic monoclonal antibodies by capillary electrophoresis – Mass spectrometry. J Pharm Biomed Anal 2020; 182:113107. [DOI: 10.1016/j.jpba.2020.113107] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 01/08/2020] [Accepted: 01/10/2020] [Indexed: 12/22/2022]
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69
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Lombard-Banek C, Schiel JE. Mass Spectrometry Advances and Perspectives for the Characterization of Emerging Adoptive Cell Therapies. Molecules 2020; 25:E1396. [PMID: 32204371 PMCID: PMC7144572 DOI: 10.3390/molecules25061396] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/06/2020] [Accepted: 03/11/2020] [Indexed: 12/12/2022] Open
Abstract
Adoptive cell therapy is an emerging anti-cancer modality, whereby the patient's own immune cells are engineered to express T-cell receptor (TCR) or chimeric antigen receptor (CAR). CAR-T cell therapies have advanced the furthest, with recent approvals of two treatments by the Food and Drug Administration of Kymriah (trisagenlecleucel) and Yescarta (axicabtagene ciloleucel). Recent developments in proteomic analysis by mass spectrometry (MS) make this technology uniquely suited to enable the comprehensive identification and quantification of the relevant biochemical architecture of CAR-T cell therapies and fulfill current unmet needs for CAR-T product knowledge. These advances include improved sample preparation methods, enhanced separation technologies, and extension of MS-based proteomic to single cells. Innovative technologies such as proteomic analysis of raw material quality attributes (MQA) and final product quality attributes (PQA) may provide insights that could ultimately fuel development strategies and lead to broad implementation.
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Affiliation(s)
- Camille Lombard-Banek
- National Institute of Standards and Technology, Gaithersburg, MD 20899, USA;
- Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA
| | - John E. Schiel
- National Institute of Standards and Technology, Gaithersburg, MD 20899, USA;
- Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA
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70
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Füssl F, Trappe A, Carillo S, Jakes C, Bones J. Comparative Elucidation of Cetuximab Heterogeneity on the Intact Protein Level by Cation Exchange Chromatography and Capillary Electrophoresis Coupled to Mass Spectrometry. Anal Chem 2020; 92:5431-5438. [PMID: 32105056 DOI: 10.1021/acs.analchem.0c00185] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Charge sensitive separation methods such as ion exchange chromatography (CEX) and capillary electrophoresis (CE) have recently been coupled to mass spectrometry to facilitate high resolution profiling of proteoforms present within the charge variant profile of complex biopharmaceuticals. Here we apply pH gradient cation exchange chromatography and microfluidic capillary electrophoresis using the ZipChip platform for comparative characterization of the monoclonal antibody Cetuximab. Cetuximab harbors four glycans per molecule, two on each heavy chain, of which the Fab glycans have been reported to be complex and multiply sialylated. The presence of these extra glycosylation sites in the variable region of the molecule causes significant charge variant and glycan heterogeneity, which makes comprehensive analysis on the intact protein level challenging. Both pH gradient CEX-MS and CE-MS were found to be powerful for the separation of Cetuximab charge variants with eight major peaks being baseline resolved using both separation platforms. Informative native-like mass spectra were collected for each charge variant peak using both platforms that facilitated deconvolution and further analysis. The total proteoform coverage was exceptionally high with >100 isoforms identified and relatively quantified with CEX-MS, in case of CE-MS the proteoform coverage was >200. A deep insight into the heterogeneity of Cetuximab was unveiled, the high level of sensitivity achievable enables the implementation of the presented technologies even at early stages of the biopharmaceutical development platform, such as in developability assessment, process development and also for monitoring process consistency.
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Affiliation(s)
- Florian Füssl
- NIBRT - The National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland
| | - Anne Trappe
- NIBRT - The National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland
| | - Sara Carillo
- NIBRT - The National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland
| | - Craig Jakes
- NIBRT - The National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland.,School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland
| | - Jonathan Bones
- NIBRT - The National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland.,School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland
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71
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Sokolowska I, Mo J, Rahimi Pirkolachahi F, McVean C, Meijer LAT, Switzar L, Balog C, Lewis MJ, Hu P. Implementation of a High-Resolution Liquid Chromatography–Mass Spectrometry Method in Quality Control Laboratories for Release and Stability Testing of a Commercial Antibody Product. Anal Chem 2019; 92:2369-2373. [DOI: 10.1021/acs.analchem.9b05036] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Izabela Sokolowska
- BioTherapeutics Analytical Development, Janssen Research & Development, LLC, 200 Great Valley Parkway, Malvern, Pennsylvania 19355, United States
| | - Jingjie Mo
- BioTherapeutics Analytical Development, Janssen Research & Development, LLC, 200 Great Valley Parkway, Malvern, Pennsylvania 19355, United States
| | - Fatie Rahimi Pirkolachahi
- Janssen Supply Chain One Lab, Janssen Biologics BV, Einsteinweg 101, 2333 CB Leiden, The Netherlands
| | - Carol McVean
- BioTherapeutics Analytical Development, Janssen Research & Development, LLC, 200 Great Valley Parkway, Malvern, Pennsylvania 19355, United States
| | - Lars A. T. Meijer
- BioTherapeutics Analytical Development, Janssen Biologics BV, Einsteinweg 101, 2333 CB Leiden, The Netherlands
| | - Linda Switzar
- BioTherapeutics Analytical Development, Janssen Biologics BV, Einsteinweg 101, 2333 CB Leiden, The Netherlands
| | - Crina Balog
- BioTherapeutics Analytical Development, Janssen Biologics BV, Einsteinweg 101, 2333 CB Leiden, The Netherlands
| | - Michael J. Lewis
- BioTherapeutics Analytical Development, Janssen Research & Development, LLC, 200 Great Valley Parkway, Malvern, Pennsylvania 19355, United States
| | - Ping Hu
- BioTherapeutics Analytical Development, Janssen Research & Development, LLC, 200 Great Valley Parkway, Malvern, Pennsylvania 19355, United States
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