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Flow cytometric isolation of drug-like conformational antibodies specific for amyloid fibrils

Desai, A. A.; Zupancic, J. M.; Trzeciakiewicz, H.; Gerson, J. E.; DuBois, K. N.; Skinner, M. E.; Sharkey, L. M.; McArthur, N.; Ferris, S. P.; Bhatt, N. N.; Makowski, E. K.; Smith, M. D.; Chen, H.; Huang, J.; Jerez, C.; Kane, R. S.; Kanaan, N. M.; Paulson, H. L.; Tessier, P. M.

2023-07-04 bioengineering
10.1101/2023.07.04.547698 bioRxiv
Show abstract

Antibodies that recognize specific protein conformational states are broadly important for research, diagnostic and therapeutic applications, yet they are difficult to generate in a predictable and systematic manner using either immunization or in vitro antibody display methods. This problem is particularly severe for conformational antibodies that recognize insoluble antigens such as amyloid fibrils associated with many neurodegenerative disorders. Here we report a quantitative fluorescence-activated cell sorting (FACS) method for directly selecting high-quality conformational antibodies against different types of insoluble (amyloid fibril) antigens using a single, off-the-shelf human library. Our approach uses quantum dots functionalized with antibodies to capture insoluble antigens, and the resulting quantum dot conjugates are used in a similar manner as conventional soluble antigens for multi-parameter FACS selections. Notably, we find that this approach is robust for isolating high-quality conformational antibodies against tau and -synuclein fibrils from the same human library with combinations of high affinity, high conformational specificity and, in some cases, low off-target binding that rival or exceed those of clinical-stage antibodies specific for tau (zagotenemab) and -synuclein (cinpanemab). This approach is expected to enable conformational antibody selection and engineering against diverse types of protein aggregates and other insoluble antigens (e.g., membrane proteins) that are compatible with presentation on the surface of antibody-functionalized quantum dots.

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