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Modelling ligand depletion for simultaneous affinity and binding site quantification on cells and tissue
3B Pharmaceut GmbH, Berlin, Germany..
Ridgeview Instruments AB, Uppsala, Sweden..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer precision medicine. Ridgeview Instruments AB, Uppsala, Sweden..ORCID iD: 0000-0002-0063-3233
3B Pharmaceut GmbH, Berlin, Germany..
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2023 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, article id 10031Article in journal (Refereed) Published
Abstract [en]

The quantification of the number of targets in biological systems is an important parameter to assess the suitability of surface markers as targets for drugs, drug delivery and medical imaging. Likewise, quantifying the interaction with the target in terms of affinity and binding kinetics is essential during drug development. Commonly used approaches to quantify membrane antigens on live cells are based on manual saturation techniques that are labour-intensive, require careful calibration of the generated signal and do not quantify the binding rates. Here, we present how measuring interactions in real-time on live cells and tissue under ligand depletion conditions can be used to simultaneously quantify the kinetic binding parameters as well as the number of available binding sites in a biological system. Suitable assay design was explored with simulated data and feasibility of the method verified with experimental data for exemplary low molecular weight peptide and antibody radiotracers as well as fluorescent antibodies. In addition to revealing the number of accessible target sites and improving the accuracy of binding kinetics and affinities, the presented method does not require knowledge about the absolute signal generated per ligand molecule. This enables a simplified workflow for use with both radioligands and fluorescent binders.

Place, publisher, year, edition, pages
Springer Nature, 2023. Vol. 13, article id 10031
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Biochemistry Molecular Biology Biophysics
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URN: urn:nbn:se:uu:diva-514064DOI: 10.1038/s41598-023-37015-1ISI: 001063223800043PubMedID: 37340068OAI: oai:DiVA.org:uu-514064DiVA, id: diva2:1805311
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Uppsala UniversityAvailable from: 2023-10-16 Created: 2023-10-16 Last updated: 2025-02-20Bibliographically approved

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Lundsten, SaraBondza, Sina

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