Advancing synthesis-free and enzyme-free rewritable DNA memory through frameshift encoding and nanopore duplex interruption decoding

DNA data storage is a promising alternative to conventional storage due to high density, low energy consumption, durability, and ease of replication. While information can be encoded into DNA via synthesis, high costs and the lack of rewriting capability limit its applications beyond archival storage. Emerging "hard drive" strategies seek to encode data onto universal DNA templates without de novo synthesis, using methods such as DNA nanostructures and base modifications. However, these approaches face challenges including complexity, low data density, enzymatic constraints, and reliance on costly instrumentation. Here, we introduce a DNA memory system based on frameshift encoding, inspired by viral ribosomal frameshifting, to enable rapid, cost-effective, and parallel data writing on a universal DNA template, without synthesis, enzymatic processing, or labeling. Information is encoded as checkpoint frameshifts by annealing microstaples of varying lengths at predefined sites along a long template strand. Data are decoded using MspA nanopore duplex interruption sequencing, which leverages a novel unzipping marker we discovered and frameshift-induced current signatures to resolve individual bits while sequentially unzipping tandem template-microstaple duplexes. Importantly, the duplex structure enables efficient, bit-specific rewriting through toehold-mediated strand displacement. This approach presents a scalable and versatile framework for DNA-based hard drives, with potential applications extending into in-memory computing, encryption, and dynamic biomolecular sensing.

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Publication Details

Journal
PNAS Nexus
Published
2025-08-30
DOI
https://doi.org/10.1093/pnasnexus/pgaf233
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
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article

Advancing synthesis-free and enzyme-free rewritable DNA memory through frameshift encoding and nanopore duplex interruption decoding

Shinghua Ding, Emily Ma, Kai Tian, Binquan Luan et al.
PNAS Nexus
Advanced biosensing and bioanalysis techniques
article

Advancing synthesis-free and enzyme-free rewritable DNA memory through frameshift encoding and nanopore duplex interruption decoding

Shinghua Ding, Emily Ma, Kai Tian, Binquan Luan, George Rugare Chingarande, Li‐Qun Gu, Chengrui Hou, Shi‐Jie Chen, Sicheng Zhang, Shi‐You Chen, Sally Chen, Jarett Ren, Mia Stertzer
article en

Abstract

DNA data storage is a promising alternative to conventional storage due to high density, low energy consumption, durability, and ease of replication. While information can be encoded into DNA via synthesis, high costs and the lack of rewriting capability limit its applications beyond archival storage. Emerging "hard drive" strategies seek to encode data onto universal DNA templates without de novo synthesis, using methods such as DNA nanostructures and base modifications. However, these approaches face challenges including complexity, low data density, enzymatic constraints, and reliance on costly instrumentation. Here, we introduce a DNA memory system based on frameshift encoding, inspired by viral ribosomal frameshifting, to enable rapid, cost-effective, and parallel data writing on a universal DNA template, without synthesis, enzymatic processing, or labeling. Information is encoded as checkpoint frameshifts by annealing microstaples of varying lengths at predefined sites along a long template strand. Data are decoded using MspA nanopore duplex interruption sequencing, which leverages a novel unzipping marker we discovered and frameshift-induced current signatures to resolve individual bits while sequentially unzipping tandem template-microstaple duplexes. Importantly, the duplex structure enables efficient, bit-specific rewriting through toehold-mediated strand displacement. This approach presents a scalable and versatile framework for DNA-based hard drives, with potential applications extending into in-memory computing, encryption, and dynamic biomolecular sensing.

PNAS NexusVol. 4(9)
IBM (United States) (US), IBM Research - Thomas J. Watson Research Center (US), University of Missouri (US)
Openalex Percentile: Top 79%
Advanced biosensing and bioanalysis techniques
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