Label-free Quantification of Host-Cell Protein Impurity in a Recombinant Hemoglobin Reference Material
Abstract
Quantitative analysis depends on pure-substance primary calibrators with known mass fractions of impurity. Here, label-free quantification (LFQ) is being evaluated as a readily available, reliable method for determining the mass fraction of host-cell proteins (HCPs) in bioengineered proteins. For example, hemoglobin-A2 (HbA2) is being used as obtained through overexpression in E.coli. Two different materials had been produced: natural, and U-15N-labeled HbA2. For quantification of impurity, precursorion (MSl-) intensities were integrated over all E.coli -proteins identified, and divided by the intensities obtained for HbA2. This ratio was calibrated against the corresponding results for E.coli-cell lysate, which had been spiked at known mass-ratios to pure HbA2. To demonstrate the universal applicability of LFQ, further proteomes (yeast and human K562) were then alternatively used for calibration and found to produce comparable results. Valid results could also be obtained when the complexity of the calibrator is reduced to a mix of nine proteins, and a minimum of five proteins is estimated to be sufficient to keep the sampling error below l5%. For the studied materials, HbA2-mass fractions of 916{+/-}15 mg/g and 922{+/-}11 mg/g were found. Value assignment by LFQ thus contributes 1-2% to the overall uncertainty of HbA2-quantification when these materials are used as calibrators. Further purification of the natural HbA2 yielded 999.1{+/-} 0.15 mg/g, corresponding to {approx} 0.2% of uncertainty contribution, though at a significant loss of material. If an overall-uncertainty of 5% is acceptable for protein-quantification, working with the original materials would definitely be viable, therefore.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Prospective ICH Q2(R2)-aligned total-error validation of label-free untargeted proteomics for host cell protein quantification in biotherapeutics
Somar Khalil, Jean‐François Dierick, … Michel Plisnier·ProteomesPeer-reviewed·Apr 23, 2026
- LFAQ: towards unbiased label-free absolute protein quantification by predicting peptide quantitative factors
Cheng Chang, Zhiqiang Gao, … Fuchu He·Analytical ChemistryPeer-reviewed·Dec 10, 2018
- Improved Identification of Host Cell Proteins in Monoclonal Antibodies by Combining Filter Aided Sample Preparation and Native Digestion
Yang Yang, Jing Wu, … Mark Lefers·Journal of Pharmaceutical SciencesPeer-reviewed·Jun 15, 2025
- HILAQ: A Novel Strategy for Newly Synthesized Protein Quantification
Y. Ma, D. B. McClatchy, … J. R. Yates·Journal of Proteome ResearchPeer-reviewed·Jun 2, 2017
- Assessment of label-free quantification and missing value imputation for proteomics in non-human primates
Zeeshan Hamid, Kip D. Zimmerman, … Michael Olivier·BMC GenomicsPeer-reviewed·Jul 8, 2022
- Accurate label-free quantification by directLFQ to compare unlimited numbers of proteomes
Constantin Ammar, Julia Patricia Schessner, … Matthias Mann·Molecular & Cellular ProteomicsPeer-reviewed·May 22, 2023