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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
Published on: May 22, 2018
Sequence Variant Analysis During Cell Line Selection via High-Throughput Peptide Mapping
Chong-Feng Xu1, Yan Wang1, Peter Bryngelson1
1Analytical Development, Biogen, Cambridge, MA, USA.
Abstract:
Selection of high-producing lead and backup cell lines with high-fidelity primary structure is a major goal of cell line development of protein therapeutics. Conventional techniques for sequence variant analysis, such as mass spectrometry (MS) and next-generation sequencing (NGS), have limitations on the sample number and turnaround time, thus often are only applied at the final stages of development, where an undesired lead or backup clone could cause a significant delay in project timeline. Here we presented a high-throughput (HT) peptide mapping workflow which can be applied at the early stages of cell line selection for testing of a batch of 30-40 clones within 2-week turnaround while reporting valuable information on sequence variants and post-translational modifications (PTMs). The successful application of this workflow was demonstrated for two mAb programs. Multiple clones were removed from a total of 33 mAb-1 clones using various criteria: nine clones contained at least one >1% upregulated unknown peptide ion, 11 clones contained at least eight >0.1% upregulated unknowns, and six clones contained upregulated critical PTMs. For mAb-2, light chain (LC) sequence extension of approximately 30 amino acids was detected in six out of 36 clones at levels up to 11%. Besides, a Q to H mutation at ~30% was detected in the heavy chain (HC) of a single clone. Q to H mutation has a mass change of 9.00 Da and failed to be detected by intact mass analysis. Rapid PTM quantitation also facilitated the selection of clones with desirable quality attributes, such as N-glycan profile. Hence, we demonstrated a risk-reducing strategy where abnormal clones could be detected at the earlier stages of cell line selection, which should result in a reduced and more predictable timeline of cell line devare co-first authorselopment.
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