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.

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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

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preprint

Controlled Competition Reduces Errors in Nanostructure-Based DNA Data Storage

Casey M. Platnich, Ulrich F. Keyser, Max K. Earle, Justin Norman Cronk
2 links
ChemRxiv
DNA and Biological Computing
preprint

Controlled Competition Reduces Errors in Nanostructure-Based DNA Data Storage

Casey M. Platnich, Ulrich F. Keyser, Max K. Earle, Justin Norman Cronk
preprint en

Abstract

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.

ChemRxiv
University of Cambridge (GB)
Government of the United Kingdom, UK Research and Innovation, European Commission, HORIZON EUROPE Framework Programme
DNA and Biological Computing
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