Literature DB >> 28199092

Application of a Quantitative LC-MS Multiattribute Method for Monitoring Site-Specific Glycan Heterogeneity on a Monoclonal Antibody Containing Two N-Linked Glycosylation Sites.

Tian Wang1, Lily Chu1, Wenzhou Li1, Ken Lawson1, Izydor Apostol1, Tamer Eris1.   

Abstract

A significant challenge of traditional glycan mapping techniques is that they do not provide site-specific glycosylation information. Therefore, for proteins containing multiple glycosylation sites, the individual glycan species present at a particular site cannot be differentiated from those species present at the other glycosylation sites on the molecule. Quantification of glycoform has previously been demonstrated using a multiattribute method (MAM), which can quantify multiple post-translational modifications including deamidation, oxidation, glycosylation variants, and fragmentation ( Rogers, R. S.; Nightlinger, N. S.; Livingston, B.; Campbell, P.; Bailey, R.; Balland, A. MAbs 2015 , 7 , 881 - 890 ; ref 1). In this paper we describe the application of an MAM based method for site specific quantification of N-linked glycan heterogeneity present on an IgG1 mAb molecule containing two distinct N-linked glycosylation sites: one present on the heavy chain (HC) variable region (Fab) and the other present on the conserved HC constant region (Fc). MAM is a peptide mapping method utilizing mass spectrometry to detect and quantify specific peptides of interest. The ionization properties of the glycopeptides with different classes of glycan structural variants, including high mannose, sialylated, and terminal galactosylated species were studied in detail. Our results demonstrate that MAM quantification of individual glycan species from both the Fab and Fc N-Linked glycosylation sites is consistent with quantification using the traditional hydrophilic interaction liquid chromatography (HILIC) analysis of enzymatically released and fluorescently labeled glycans. Furthermore, no significant impact from the glycoform on the ionization properties of the glycopeptide is observed. Our work demonstrates that the MAM method is a suitable approach for providing quantitative, site-specific glycan information for profiling of N-linked glycans on immunoglobulins.

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Year:  2017        PMID: 28199092     DOI: 10.1021/acs.analchem.6b04856

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  10 in total

1.  A View on the Importance of "Multi-Attribute Method" for Measuring Purity of Biopharmaceuticals and Improving Overall Control Strategy.

Authors:  Richard S Rogers; Michael Abernathy; Douglas D Richardson; Jason C Rouse; Justin B Sperry; Patrick Swann; Jette Wypych; Christopher Yu; Li Zang; Rohini Deshpande
Journal:  AAPS J       Date:  2017-11-30       Impact factor: 4.009

2.  Development of a comprehensive approach for performance evaluation of a quantitative multi-attribute method as a quality control method.

Authors:  Eriko Numao; Kumi Yanagisawa; Mayu Hosono; Yuki Yagi; Koichiro Nishimura; Katsuyoshi Yamazaki
Journal:  Anal Sci       Date:  2022-03-17       Impact factor: 2.081

3.  Chemical Structure and Composition of Major Glycans Covalently Linked to Therapeutic Monoclonal Antibodies by Middle-Down Nuclear Magnetic Resonance.

Authors:  Jiangnan Peng; Sharadrao M Patil; David A Keire; Kang Chen
Journal:  Anal Chem       Date:  2018-08-27       Impact factor: 6.986

4.  A Quadrupole Dalton-based multi-attribute method for product characterization, process development, and quality control of therapeutic proteins.

Authors:  Weichen Xu; Rod Brian Jimenez; Rachel Mowery; Haibin Luo; Mingyan Cao; Nitin Agarwal; Irina Ramos; Xiangyang Wang; Jihong Wang
Journal:  MAbs       Date:  2017-08-14       Impact factor: 5.857

5.  An evaluation of instrument types for mass spectrometry-based multi-attribute analysis of biotherapeutics.

Authors:  Zhongqi Zhang; Pik K Chan; Jason Richardson; Bhavana Shah
Journal:  MAbs       Date:  2020 Jan-Dec       Impact factor: 5.857

6.  Semi-Automated Glycoproteomic Data Analysis of LC-MS Data Using GlycopeptideGraphMS in Process Development of Monoclonal Antibody Biologics.

Authors:  Kuin Tian Pang; Shi Jie Tay; Corrine Wan; Ian Walsh; Matthew S F Choo; Yuan Sheng Yang; Andre Choo; Ying Swan Ho; Terry Nguyen-Khuong
Journal:  Front Chem       Date:  2021-05-18       Impact factor: 5.221

7.  Multi attribute method implementation using a High Resolution Mass Spectrometry platform: From sample preparation to batch analysis.

Authors:  Sofia B Carvalho; Ricardo A Gomes; Anja Pfenninger; Martina Fischer; Michaela Strotbek; Inês A Isidro; Nihal Tugçu; Patrícia Gomes-Alves
Journal:  PLoS One       Date:  2022-01-27       Impact factor: 3.240

8.  Attribute Analytics Performance Metrics from the MAM Consortium Interlaboratory Study.

Authors:  Trina Mouchahoir; John E Schiel; Rich Rogers; Alan Heckert; Benjamin J Place; Aaron Ammerman; Xiaoxiao Li; Tom Robinson; Brian Schmidt; Chris M Chumsae; Xinbi Li; Anton V Manuilov; Bo Yan; Gregory O Staples; Da Ren; Alexander J Veach; Dongdong Wang; Wael Yared; Zoran Sosic; Yan Wang; Li Zang; Anthony M Leone; Peiran Liu; Richard Ludwig; Li Tao; Wei Wu; Ahmet Cansizoglu; Andrew Hanneman; Greg W Adams; Irina Perdivara; Hunter Walker; Margo Wilson; Arnd Brandenburg; Nick DeGraan-Weber; Stefano Gotta; Joe Shambaugh; Melissa Alvarez; X Christopher Yu; Li Cao; Chun Shao; Andrew Mahan; Hirsh Nanda; Kristen Nields; Nancy Nightlinger; Ben Niu; Jihong Wang; Wei Xu; Gabriella Leo; Nunzio Sepe; Yan-Hui Liu; Bhumit A Patel; Douglas Richardson; Yi Wang; Daniela Tizabi; Oleg V Borisov; Yali Lu; Ernest L Maynard; Albrecht Gruhler; Kim F Haselmann; Thomas N Krogh; Carsten P Sönksen; Simon Letarte; Sean Shen; Kristin Boggio; Keith Johnson; Wenqin Ni; Himakshi Patel; David Ripley; Jason C Rouse; Ying Zhang; Carly Daniels; Andrew Dawdy; Olga Friese; Thomas W Powers; Justin B Sperry; Josh Woods; Eric Carlson; K Ilker Sen; St John Skilton; Michelle Busch; Anders Lund; Martha Stapels; Xu Guo; Sibylle Heidelberger; Harini Kaluarachchi; Sean McCarthy; John Kim; Jing Zhen; Ying Zhou; Sarah Rogstad; Xiaoshi Wang; Jing Fang; Weibin Chen; Ying Qing Yu; John G Hoogerheide; Rebecca Scott; Hua Yuan
Journal:  J Am Soc Mass Spectrom       Date:  2022-08-26       Impact factor: 3.262

9.  Development of an LC-MS/MS peptide mapping protocol for the NISTmAb.

Authors:  Trina Mouchahoir; John E Schiel
Journal:  Anal Bioanal Chem       Date:  2018-02-07       Impact factor: 4.142

10.  Enhancing the multi-attribute method through an automated and high-throughput sample preparation.

Authors:  Pongkwan Sitasuwan; Thomas W Powers; Tiffany Medwid; Yuting Huang; Bradley Bare; L Andrew Lee
Journal:  MAbs       Date:  2021 Jan-Dec       Impact factor: 5.857

  10 in total

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