DNA barcoding for parallelised single-molecule characterisation of kinetic phenotypes
Mueller, S. H.; Grimson, D. M.; Paz, H.; Fitch, A. C.; Yu, H.; Ribezzi-Crivellari, M.; Griffiths, A. D.; van Oijen, A. M.; Spenkelink, L. M.
Show abstract
Single-molecule techniques provide exceptional resolution of biomolecular dynamics but are limited by low-throughput. We present a barcoding strategy that enables simultaneous kinetic profiling of multiple protein variants at the single-molecule level. Each protein is covalently linked to a unique DNA barcode, decoded via transient hybridisation of fluorescent probes distinguished by colour and binding duration. We applied this method to a library of 16 ClpS variants to systematically explore evolutionary trajectories towards a variant adapted to recognise N-terminal amino acids with binding kinetics optimised for single-molecule peptide sequencing. The approach uncovered [~]5-fold variation in median dissociation rates across variants. Several variants displayed bimodal kinetics, likely reflecting structural subpopulations, and differences in kinetic properties arose primarily from the relative abundance of these phenotypes. This approach offers a general framework for screening and optimising proteins for single-molecule applications, while revealing mechanistic insights that are inaccessible to traditional ensemble methods.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Label-free composition determination for biomolecular condensates with an arbitrarily large number of components 97%
- Live cell PNA labelling enables erasable fluorescence imaging of membrane proteins 96%
- Asymmetric oligomerization state and sequence patterning can tune multiphase condensate miscibility 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.