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Related Concept Videos

Upstream Processing01:27

Upstream Processing

Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...

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Development of an Optimized LC-MS Workflow for Host Cell Protein Characterization to Support Upstream Process

Janik D Seidel1, Mark R Condina1,2, Manuela Klingler-Hoffmann1

  • 1Clinical and Health Sciences, University of South Australia, 5000 Adelaide, Australia.

Journal of Proteome Research
|December 19, 2024
PubMed
Summary

This study introduces a faster mass spectrometry (MS) method to identify and quantify over 1000 host cell proteins (HCPs) in biotherapeutics. This improved analytical protocol enhances quality control for biopharmaceutical production.

Keywords:
Chinese hamster ovaryLC-MSabsolute quantificationbioprocessingclarified cell culture fluiddata-independent acquisitionhi3 quantificationhost cell proteinsprocess analytical technologies

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Area of Science:

  • Biopharmaceutical Manufacturing
  • Analytical Chemistry
  • Proteomics

Background:

  • Host cell proteins (HCPs) are critical impurities in biotherapeutics, impacting product safety and efficacy.
  • Robust monitoring of HCPs is essential for quality control throughout biopharmaceutical production and purification.
  • Mass spectrometry (MS) offers an orthogonal approach to ELISA for HCP analysis, particularly in downstream processing.

Purpose of the Study:

  • To develop and validate a rapid, high-throughput MS-based analytical protocol for routine HCP monitoring.
  • To support upstream process development through enhanced HCP identification and quantification.
  • To assess the impact of sample preparation and data processing on HCP quantification accuracy.

Main Methods:

  • Streamlined sample preparation for accelerated processing.
  • High-throughput mass spectrometry (MS) analysis pipeline.
  • Development of a protocol for simultaneous identification and quantification of HCPs.

Main Results:

  • Identification and quantification of over 1000 HCPs in clarified cell culture samples.
  • Detection of 20 high-risk proteins identified in the literature.
  • Demonstrated repeatability and precision for HCP analysis across digest replicates.
  • Exploration of standardization effects on absolute HCP quantification.

Conclusions:

  • The developed MS protocol offers improved speed and identification performance for routine HCP analysis.
  • The findings underscore the importance of standardization in MS-based HCP quantification for industrial applications.
  • This method provides a valuable tool for enhancing quality control in biopharmaceutical development.