Dataset Information

Recovery of Chinese hamster ovary host cell proteins for proteomic analysis.

ABSTRACT: Identification and characterization of Chinese hamster ovary (CHO) host cell protein (HCP) impurities by proteomic techniques can aid bioprocess design and lead to more efficient development and improved biopharmaceutical manufacturing operations. Recovery of extracellular CHO HCP for proteomic analysis is particularly challenging due to the relatively low protein concentration and complex composition of media. In this article, we report the development of optimized protocols that improve proteome capture for CHO HCP. Eleven precipitation protocols were screened for protein recovery and optimized for a subset of precipitants by a design of experiments (DOE) approach. Because total protein recovery does not fully replicate a proteomics experiment, or detect non-protein agents that may interfere with proteomic methods, a subset of precipitation conditions were compared by two-dimensional electrophoresis and liquid chromatography coupled with mass spectrometry, with optimized recovery shown to differ between the two proteomic methods. This work demonstrates broadly applicable methods that can be applied as initial steps to optimize sample preparation of any sample type for proteomic analysis, and presents optimized precipitation protocols for extracellular CHO HCP recovery, which can vary appreciably between gel-based and shotgun proteomic methods.

SUBMITTER: Valente KN

PROVIDER: S-EPMC5885764 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

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Recovery of Chinese hamster ovary host cell proteins for proteomic analysis.

Valente Kristin N KN Schaefer Amy K AK Kempton Hannah R HR Lenhoff Abraham M AM Lee Kelvin H KH

Biotechnology journal 20131210 1

Identification and characterization of Chinese hamster ovary (CHO) host cell protein (HCP) impurities by proteomic techniques can aid bioprocess design and lead to more efficient development and improved biopharmaceutical manufacturing operations. Recovery of extracellular CHO HCP for proteomic analysis is particularly challenging due to the relatively low protein concentration and complex composition of media. In this article, we report the development of optimized protocols that improve proteo ...[more]

PMID: 24039059

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Project description:The Chinese hamster ovary (CHO) cell is the gold standard for manufacturing of glycosylated recombinant proteins for production of biotherapeutics. The similarity of its glycosylation patterns to the human versions enable the products of this cell line favorable pharmacokinetic properties and lower likelihood of causing immunogenic responses. Because glycan structures are the product of the concerted action of intracellular enzymes, it is difficult to predict a priori how the effects of genetic manipulations alter glycan structures of cells and therapeutic properties. For that reason, quantitative models able to predict glycosylation have emerged as promising tools to deal with the complexity of glycosylation processing. For example, an earlier version of the same model used in this study was used by others to successfully predict changes in enzyme activities that could produce a desired change in glycan structure. In this study we utilize an updated version of this model to provide a comprehensive analysis of N-glycosylation in ten Chinese hamster ovary (CHO) cell lines that include a wild type parent and nine mutants of CHO, through interpretation of previously published mass spectrometry data. The updated N-glycosylation mathematical model contains up to 50,605 glycan structures. Adjusting the enzyme activities in this model to match N-glycan mass spectra produces detailed predictions of the glycosylation process, enzyme activity profiles and complete glycosylation profiles of each of the cell lines. These profiles are consistent with biochemical and genetic data reported previously. The model-based results also predict glycosylation features of the cell lines not previously published, indicating more complex changes in glycosylation enzyme activities than just those resulting directly from gene mutations. The model predicts that the CHO cell lines possess regulatory mechanisms that allow them to adjust glycosylation enzyme activities to mitigate side effects of the primary loss or gain of glycosylation function known to exist in these mutant cell lines. Quantitative models of CHO cell glycosylation have the potential for predicting how glycoengineering manipulations might affect glycoform distributions to improve the therapeutic performance of glycoprotein products.

Dataset Information

Recovery of Chinese hamster ovary host cell proteins for proteomic analysis.

Publications

Recovery of Chinese hamster ovary host cell proteins for proteomic analysis.

Similar Datasets

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