Literature DB >> 26033952

Identifying low-level sequence variants via next generation sequencing to aid stable CHO cell line screening.

Sheng Zhang1, Lisa Bartkowiak1, Bernard Nabiswa1, Pratibha Mishra1, John Fann1, David Ouellette2, Ivan Correia2, Dean Regier3, Junjian Liu3.   

Abstract

Developing stable Chinese hamster ovary (CHO) cell lines for biotherapeutics is an irreversible process and therefore, key quality attributes, such as sequence variants, must be closely monitored during cell line development (CLD) to avoid delay in the developmental timeline, and more importantly, to assure product safety and efficacy. Sequence variants, defined as unintended amino acid substitution in recombinant protein primary structure, result from alteration at either the DNA or the protein level. Here, for the first time, we report the application of transcriptome sequencing (RNAseq) in an IgG1 monoclonal antibody (mAb) CLD campaign to detect, identify, and eliminate cell lines containing low-level point mutations in recombinant coding sequence. Among the top eleven mAb producers chosen from transfectant, clone or subclone stages, three of the cell lines contained either missense or nonsense point mutations at a low level of less than 2%. Subsequent LC/MS/MS characterization detected ∼3% sequence variants with an amino acid change from Ser to Leu at residue 117 in the heavy chain of transfectants 11 and 27. This substitution is consistent with the RNAseq finding of a C/T mutation located at 407 base pair (TCA→TTA) in the heavy chain coding sequence. Here we demonstrate that RNAseq is a rapid and highly sensitive method to identify low-level genetic mutation de novo corresponding to the amino acid substitution that elicits sequence variant(s). Its implementation in CLD constitutes an early and effective step in identifying desired CHO expression cell lines.
© 2015 American Institute of Chemical Engineers.

Entities:  

Keywords:  CHO cell line; next generation sequencing; point mutation; recombinant monoclonal antibody; sequence variants

Mesh:

Substances:

Year:  2015        PMID: 26033952     DOI: 10.1002/btpr.2119

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  4 in total

1.  Identification and characterization of an IgG sequence variant with an 11 kDa heavy chain C-terminal extension using a combination of mass spectrometry and high-throughput sequencing analysis.

Authors:  Claire Harris; Weichen Xu; Luigi Grassi; Chunlei Wang; Abigail Markle; Colin Hardman; Richard Stevens; Guillermo Miro-Quesada; Diane Hatton; Jihong Wang
Journal:  MAbs       Date:  2019-10-01       Impact factor: 5.857

2.  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

Review 3.  Evolution of a comprehensive, orthogonal approach to sequence variant analysis for biotherapeutics.

Authors:  T Jennifer Lin; Kathryn M Beal; Paul W Brown; Heather S DeGruttola; Mellisa Ly; Wenge Wang; Chia H Chu; Robert L Dufield; Gerald F Casperson; James A Carroll; Olga V Friese; Bruno Figueroa; Lisa A Marzilli; Karin Anderson; Jason C Rouse
Journal:  MAbs       Date:  2018-10-25       Impact factor: 5.857

4.  A general evidence-based sequence variant control limit for recombinant therapeutic protein development.

Authors:  Aming Zhang; Zhengwei Chen; Meinuo Li; Haibo Qiu; Shawn Lawrence; Hanne Bak; Ning Li
Journal:  MAbs       Date:  2020 Jan-Dec       Impact factor: 5.857

  4 in total

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