bioRxivBioengineering
Optimised Nanobody-based Quenchbodies for Enhanced Protein Detection
J. H. Cater, N. Elsalamouny, G. H. Mansour, S. Hutchinson, C. Mc Guinness, S. H. Mueller, R. R. Spinks, N. Shanmugam, A. Pichard-Kostuch, V. Zahoransky, H. Ghodke, M. Ribezzi-Crivellari, H. Yu, A. M. van Oijen, A. D. Griffiths, L. M. Spenkelink
Abstract
Quenchbodies, antibodies labelled with fluorophores that increase in intensity upon antigen binding, offer great promise for biosensor development. Nanobody-based quenchbodies are particularly attractive due to their small size, ease of expression, high stability, rapid evolvability, and amenability to protein engineering. However, existing designs for protein detection show limited dynamic range, with fluorescence increases of only 1.1-1.7 fold. Here we identify the tryptophan residues in the nanobody complementarity-determining regions (CDRs) that are critical to quenchbody performance. Using a combination of rational design and molecular dynamics simulations, we developed an optimised nanobody scaffold with tryptophans introduced at key positions. We used this scaffold in an in vitro directed-evolution screen against human inflammatory cytokine interleukin-6 (IL-6). This yielded quenchbodies with 1.5-2.4-fold fluorescence increases, enabling IL-6 detection down to 2 nM. Our scaffold provides a valuable platform for developing biosensors for diverse protein targets, with applications in research, diagnostics, and environmental monitoring.
- organism: human
- assay: proteomics
- research focus: protein folding & dynamics
- approach: deep learning
- approach: statistical model
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