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On the Use of Surface Plasmon Resonance Biosensing to Understand IgG-FcγR Interactions

Journal

Publisher

MDPI
DOI: 10.3390/ijms22126616

Keywords

Fc gamma receptors; surface plasmon resonance (SPR); monoclonal antibodies (mAbs); N-glycosylation; SPR data analysis

Funding

  1. Natural Sciences and Engineering Research Council of Canada
  2. Trans-MedTech Institute (NanoBio Technology Platform)
  3. Canada First Research Excellence Fund

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Surface plasmon resonance (SPR)-based optical biosensors play a crucial role in studying the quality attributes of monoclonal antibodies (mAbs), particularly the influence of N-glycosylation on IgG-Fc gamma R interactions. Discrepancies in research conclusions are partly attributed to experimental design and data analysis methods in SPR assays. Recent advancements in SPR analysis methods and glycoprofile control strategies are promising for a better understanding of IgG-Fc gamma R interactions.
Surface plasmon resonance (SPR)-based optical biosensors offer real-time and label-free analysis of protein interactions, which has extensively contributed to the discovery and development of therapeutic monoclonal antibodies (mAbs). As the biopharmaceutical market for these biologics and their biosimilars is rapidly growing, the role of SPR biosensors in drug discovery and quality assessment is becoming increasingly prominent. One of the critical quality attributes of mAbs is the N-glycosylation of their Fc region. Other than providing stability to the antibody, the Fc N-glycosylation influences immunoglobulin G (IgG) interactions with the Fc gamma receptors (Fc gamma Rs), modulating the immune response. Over the past two decades, several studies have relied on SPR-based assays to characterize the influence of N-glycosylation upon the IgG-Fc gamma R interactions. While these studies have unveiled key information, many conclusions are still debated in the literature. These discrepancies can be, in part, attributed to the design of the reported SPR-based assays as well as the methodology applied to SPR data analysis. In fact, the SPR biosensor best practices have evolved over the years, and several biases have been pointed out in the development of experimental SPR protocols. In parallel, newly developed algorithms and data analysis methods now allow taking into consideration complex biomolecular kinetics. In this review, we detail the use of different SPR biosensing approaches for characterizing the IgG-Fc gamma R interactions, highlighting their merit and inherent experimental complexity. Furthermore, we review the latest SPR-derived conclusions on the influence of the N-glycosylation upon the IgG-Fc gamma R interactions and underline the differences and similarities across the literature. Finally, we explore new avenues taking advantage of novel computational analysis of SPR results as well as the latest strategies to control the glycoprofile of mAbs during production, which could lead to a better understanding and modelling of the IgG-Fc gamma Rs interactions.

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