Label-free Quantification of Host-Cell Protein Impurity in a Recombinant Hemoglobin Reference Material

Author:

Henrion AndréORCID,Arsene CristianORCID,Liebl MaikORCID,O’Connor GavinORCID

Abstract

AbstractQuantitative 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 inE.coli.Two different materials had been produced: natural, and U-15N-labeled HbA2. For quantification of impurity, precursorion (MSl-) intensities were integrated over allE.coli-proteins identified, and divided by the intensities obtained for HbA2. This ratio was calibrated against the corresponding results forE.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 HbA2yielded 999.1± 0.15 mg/g, corresponding to ≈ 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.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3