![]() ![]() As such, it offers an additional path to explore the advantages and disadvantages of DNA as an emerging memory material.Ĭonstructing a complex functional gene circuit composed of different modular biological parts to achieve the desired performance remains challenging without a proper understanding of how the individual module behaves. Unlike other approaches to DNA-based data storage, reading dNAM does not require sequencing. The error-correction algorithms fully recover the message when individual docking sites, or entire origami, are missing. Each origami encodes unique data-droplet, index, orientation, and error-correction information. As a prototype, fifteen origami encoded with ‘Data is in our DNA!\n’ are analyzed. To enhance data retention, a multi-layer error correction scheme that combines fountain and bi-level parity codes is used. Information encoded into the breadboards is read by monitoring the binding of fluorescent imager probes using DNA-PAINT super-resolution microscopy. ![]() When self-assembled with scaffold DNA, staple strands form DNA origami breadboards. In dNAM, data is encoded by selecting combinations of single-stranded DNA with (1) or without (0) docking-site domains. Here, we report digital Nucleic Acid Memory (dNAM) for applications that require a limited amount of data to have high information density, redundancy, and copy number. Previous studies have used artificially synthesized DNA to store data and automated next-generation sequencing to read it back. DNA is a compelling alternative to non-volatile information storage technologies due to its information density, stability, and energy efficiency. ![]()
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