Literature DB >> 27569415

Comprehensive Discovery and Quantitation of Protein Heterogeneity via LC-MS/MS Peptide Mapping for Clone Selection of a Therapeutic Protein.

M J Traylor1, A V Tchoudakova1, A M Lundquist1, J E Gill1, F L Boldog1, B S Tangarone1.   

Abstract

Development of biopharmaceutical production cell lines requires efficient screening methods to select the host cell line and final production clone. This is often complicated by an incomplete understanding of the relationship between protein heterogeneity and function at early stages of product development. LC-MS/MS peptide mapping is well suited to the discovery and quantitation of protein heterogeneity; however, the intense hands-on time required to generate and analyze LC-MS/MS data typically accommodates only smaller sample sets at later stages of clone selection. Here we describe a simple approach to peptide mapping designed for large sample sets that includes higher-throughput sample preparation and automated data analysis. This approach allows for the inclusion of orthogonal protease digestions and multiple replicates of an assay control that encode an assessment of accuracy and precision into the data, significantly simplifying the identification of true-positive annotations in the LC-MS/MS results. This methodology was used to comprehensively identify and quantify glycosylation, degradation, unexpected post-translational modifications, and three types of sequence variants in a previously uncharacterized non-mAb protein therapeutic expressed in approximately 100 clones from three host cell lines. Several product quality risks were identified allowing for a more informed selection of the production clone. Moreover, the variability inherent in this unique sample set provides important structure/function information to support quality attribute identification and criticality assessments, two key components of Quality by Design.

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Year:  2016        PMID: 27569415     DOI: 10.1021/acs.analchem.6b02895

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


  5 in total

1.  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

2.  Design and Analysis of a Sample-and-Hold CMOS Electrochemical Sensor for Aptamer-based Therapeutic Drug Monitoring.

Authors:  Jun-Chau Chien; Sam W Baker; H Tom Soh; Amin Arbabian
Journal:  IEEE J Solid-State Circuits       Date:  2020-09-16       Impact factor: 5.013

3.  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

4.  Rapid tryptic peptide mapping of human serum albumin using DI-MS/MSALL.

Authors:  Ke Zhang; Xingcheng Gong; Qian Wang; Pengfei Tu; Jun Li; Yuelin Song
Journal:  RSC Adv       Date:  2022-03-29       Impact factor: 3.361

5.  Identification, characterization and control of a sequence variant in monoclonal antibody drug product: a case study.

Authors:  Anushikha Thakur; Rekha Nagpal; Avik Kumar Ghosh; Deepak Gadamshetty; Sirisha Nagapattinam; Malini Subbarao; Shreshtha Rakshit; Sneha Padiyar; Suma Sreenivas; Nagaraja Govindappa; Harish V Pai; Ramakrishnan Melarkode Subbaraman
Journal:  Sci Rep       Date:  2021-06-24       Impact factor: 4.379

  5 in total

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