An alternative approach to nucleic acid memory.

Area of Science:

• Biotechnology
• Materials Science
• Information Technology

Background:

• DNA offers high information density, stability, and energy efficiency for non-volatile data storage.
• Existing DNA data storage methods often rely on sequencing for data retrieval.

Purpose of the Study:

• To introduce digital Nucleic Acid Memory (dNAM) for high-density, redundant, and high-copy-number data storage.
• To develop a DNA-based memory system that does not require sequencing for data readout.

Main Methods:

• Encoding data by selecting single-stranded DNA with or without docking-site domains.
• Self-assembling DNA origami breadboards with scaffold and staple strands.
• Reading information using DNA-PAINT super-resolution microscopy to monitor fluorescent imager probe binding.
• Implementing a multi-layer error correction scheme combining fountain and bi-level parity codes.

Main Results:

• Demonstrated a prototype with fifteen DNA origami encoding 'Data is in our DNA!'.
• Each origami contained unique data-droplet, index, orientation, and error-correction information.
• Error-correction algorithms successfully recovered the message despite missing docking sites or entire origami.

Conclusions:

• dNAM provides a novel DNA data storage approach distinct from sequencing-based methods.
• The system offers high information density, redundancy, and robust error correction.
• dNAM presents a new avenue for exploring DNA as an emerging memory material.