Overcoming Lot-to-Lot Variability in Protein Activity Using Epitope-Specific Calibration-Free Concentration Analysis

被引:0
|
作者
Harvey, Ian B. [1 ]
Chilewski, Shannon D. [1 ]
Bhosale, Devyani [1 ]
Tobia, Sarah E. [1 ]
Gray, Christopher [1 ]
Gleason, Carol [2 ]
Haulenbeek, Jonathan [1 ]
机构
[1] Bristol Myers Squibb, Translat Sci & Diagnost, Princeton, NJ 08540 USA
[2] Bristol Myers Squibb, Global Biometr & Data Sci, Princeton, NJ 08540 USA
关键词
LIGAND-BINDING ASSAYS; MASS-TRANSPORT; BIOSENSOR TECHNOLOGY; RECOMMENDATIONS; BIOMOLECULES; DIFFUSION; SURFACE;
D O I
10.1021/acs.analchem.3c05607
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Concentration determination is a fundamental hallmark of protein reagent characterization, providing a means to ensure reproducibility and unify measurements from various assays. However, lot-to-lot differences in protein activity often still occur, leading to uncertainty in the accuracy of downstream measurements. Here, we postulate that those differences are caused by a misrepresentation of the protein concentration as measured by traditional total protein techniques, which can include multiple types of inactive protein species. To overcome this, we developed a standardized method to quantify a protein's active concentration via calibration-free concentration analysis (CFCA). As a pilot study, we compare the biophysical and immunoassay responses from three batches of recombinant soluble lymphocyte-activation gene 3 (sLAG3), as defined by either their total or active concentrations. Defining the sLAG3 reagents by their assay-specific concentration improved consistency in reported kinetic binding parameters and decreased immunoassay lot-to-lot coefficients of variation (CVs) by over 600% compared to the total protein concentration. These findings suggest that the total concentration of a protein reagent may not be the ideal metric to correlate in-assay signals between lots, and by instead quantifying the concentrations of a reagent's assay-specific epitopes, CFCA may prove a useful tool in overcoming lot-to-lot variability.
引用
收藏
页码:6275 / 6281
页数:7
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