2017
DOI: 10.1080/19420862.2017.1313367
|View full text |Cite
|
Sign up to set email alerts
|

Unbiased in-depth characterization of CEX fractions from a stressed monoclonal antibody by mass spectrometry

Abstract: Characterization of charge-based variants by mass spectrometry (MS) is required for the analytical development of a new biologic entity and its marketing approval by health authorities. However, standard peak-based data analysis approaches are time-consuming and biased toward the detection, identification, and quantification of main variants only. The aim of this study was to characterize in-depth acidic and basic species of a stressed IgG1 monoclonal antibody using comprehensive and unbiased MS data evaluatio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
24
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 30 publications
(25 citation statements)
references
References 24 publications
1
24
0
Order By: Relevance
“…2B ). 26 In brief, this process enables the deconvolution of each 1s MS scan in parallel for all samples processed altogether. Such display retains for each species the connection between deconvoluted mass and respective retention time.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…2B ). 26 In brief, this process enables the deconvolution of each 1s MS scan in parallel for all samples processed altogether. Such display retains for each species the connection between deconvoluted mass and respective retention time.…”
Section: Resultsmentioning
confidence: 99%
“…Robust sample comparison was enabled using in parallel time-resolved deconvolution of each acquired MS scan in an unbiased manner. 26 This feature improved the identification of product-related variants by pattern recognition. Additionally, statistical head-to-head comparison of peptide maps using searches for absent and present signals enabled the identification of differences in RAZUMAB primary sequence at multiple sites (+ 27.01 Da as monoisotopic mass shift), which were confirmed as serine to asparagine substitution.…”
Section: Discussionmentioning
confidence: 99%
“…These experimental procedures usually involve peak collection followed by buffer exchange to allow further analysis, which can be time consuming and costly. 15 More importantly, these procedures are a possible source for sample preparation-induced modifications.…”
Section: Introductionmentioning
confidence: 99%
“…[22][23][24] Upon the separation of charge variants by IEX, current strategies to determine the effects of modifications on specific charge variant peak involve isolating the peak of interest followed by various mass spectrometric analyses, such as intact mass analysis, peptide mapping, and glycan analysis. 10,25 In addition to being limited by time and resources, this two-step approach may overlook the minor species that do not exhibit distinctive UV peaks and introduce artifacts because of the lengthy sample preparation processes. 26 Therefore, the ability to directly couple IEX to high-resolution mass spectrometry (MS) is highly desirable to enable sensitive MS detection, which can significantly improve efficiency for charge heterogeneity characterization.…”
Section: Introductionmentioning
confidence: 99%
“…[40][41][42][43][44] Additionally, CEX has greater resolving power as compared to RP LC and allows complete separation of intact antibody molecules even with one charged modification or a modification leading to partial net charge change. 7,10,23,29,35 With a few exceptions, 45 RP separation of protein charge variants with one modification is typically relatively poor, 46,47 but RP LC-MS is sensitive and easily amenable to top-down analysis. 43,[48][49][50][51] This is because proteins elute in the RP mobile phase in an unfolded and highly charged state, 52 which enables ionization prior to entering the mass analyzer.…”
Section: Introductionmentioning
confidence: 99%