Nature Communications (Apr 2023)

A massively parallel screening platform for converting aptamers into molecular switches

  • Alex M. Yoshikawa,
  • Alexandra E. Rangel,
  • Liwei Zheng,
  • Leighton Wan,
  • Linus A. Hein,
  • Amani A. Hariri,
  • Michael Eisenstein,
  • H. Tom Soh

DOI
https://doi.org/10.1038/s41467-023-38105-4
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 14

Abstract

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Abstract Aptamer-based molecular switches that undergo a binding-induced conformational change have proven valuable for a wide range of applications, such as imaging metabolites in cells, targeted drug delivery, and real-time detection of biomolecules. Since conventional aptamer selection methods do not typically produce aptamers with inherent structure-switching functionality, the aptamers must be converted to molecular switches in a post-selection process. Efforts to engineer such aptamer switches often use rational design approaches based on in silico secondary structure predictions. Unfortunately, existing software cannot accurately model three-dimensional oligonucleotide structures or non-canonical base-pairing, limiting the ability to identify appropriate sequence elements for targeted modification. Here, we describe a massively parallel screening-based strategy that enables the conversion of virtually any aptamer into a molecular switch without requiring any prior knowledge of aptamer structure. Using this approach, we generate multiple switches from a previously published ATP aptamer as well as a newly-selected boronic acid base-modified aptamer for glucose, which respectively undergo signal-on and signal-off switching upon binding their molecular targets with second-scale kinetics. Notably, our glucose-responsive switch achieves ~30-fold greater sensitivity than a previously-reported natural DNA-based switch. We believe our approach could offer a generalizable strategy for producing target-specific switches from a wide range of aptamers.