Lara M Mollé, Cameron H Smyth, Bruna Rossi Herling, Daniel Yuen, Angus P R Johnston
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A Method for High-Throughput Screening of Monoclonal Antibody Internalization Using a DNA/Protein Molecular Staple.
The use of monoclonal antibodies (mAbs) as therapeutics or for targeted delivery to specific cells is reliant on understanding mAb-receptor interactions. Of particular importance is the relationship between mAb binding and internalization into cells. Internalization can be determined using molecular sensors; however, the challenges associated with functionalizing and purifying mAbs with these sensors often mean internalization is not assessed. To address this, we have developed a simple, one-pot approach that requires no chemical modifications of the mAbs that efficiently quantifies mAb binding and internalization into cells. This is achieved by developing a protein staple that binds a DNA based internalization sensor to mAbs. This sensor is used to screen mAb binding and internalization into T cell and B cell receptors present on human peripheral blood mononuclear cells. The differences between cell binding and receptor internalization can be rapidly assessed for an array of lymphocyte receptors. These results demonstrate that high binding does not necessarily correlate to high uptake into the cell or high internalization efficiency of a receptor. Receptor internalization efficiency is a product of intrinsic characteristics of both the receptor and mAb, highlighting the need to screen for these functions to improve mAb therapeutics.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.