Controlled Competition Reduces Errors in Nanostructure-Based DNA Data Storage
DNA nanotechnology offers a promising route toward molecular data storage with exceptional density, longevity, and energy efficiency. Unlike sequence-based approaches that rely on large-scale synthesis and sequencing, structural DNA data storage encodes information into spatial architectures readable at the single-molecule level. However, practical implementation is hindered by substitution errors -particularly 0-to-1 “bit flips” - that arise during pooled readout and compromise data fidelity. Here, we introduce and systematically benchmark a set of thermodynamically-tuned error protection strategies for DNA ‘hard drive’ nanostructures, based on controlled competition between a label strand and a protector strand. By rationally modulating hybridisation stability through toehold truncation, internal mismatches, or self-complementary clamping, we identify a protector strand with a single cytosine-thymine (C-T) mismatch as an optimal design. This straightforward modification yields >90% readout fidelity and increases the information-theoretic channel capacity 25-fold relative to unprotected overhangs. The 1 C–T mismatch protector will enable accurate data writing and pooled readout using solid-state nanopore sensing, demonstrating scalable, high-fidelity molecular data retrieval. Overall, our findings establish new design principles for error suppression in structural DNA data storage and represent a key step toward practical, sustainable molecular information technologies.
Authors
- Casey M. Platnich (ORCID: https://orcid.org/0000-0002-3634-4580)
- Ulrich F. Keyser (ORCID: https://orcid.org/0000-0003-3188-5414)
- Max K. Earle (ORCID: https://orcid.org/0009-0005-7439-1985)
- Justin Norman Cronk (ORCID: https://orcid.org/0009-0000-3632-3694)
Institutions
- University of Cambridge (GB)
Publication Details
- Journal
- ChemRxiv
- Published
- 2026-10-29
- DOI
- https://doi.org/10.26434/chemrxiv.15011280/v1
- Primary Topic
- DNA and Biological Computing
- Type
- preprint
Funders
- Government of the United Kingdom
- UK Research and Innovation
- European Commission
- HORIZON EUROPE Framework Programme