<p>DNA-based storage is an alternative solution for archiving vast cold data. Its future development aims to meet the demands of hot data storage, which requires rapid random access and efficient data modification. Here, we present a DNA origami nanostructure-enabled linked data storage (DONLDS) system that implements a linked list architecture. This system uses distinct DNA origami shapes as nodes to store diverse data (English letters, numerals, Chinese characters) in binary locations, achieving a storage density of 222.22 Gbit/cm<sup>2</sup>. Pointers, defined by DNA strands at the nanostructure edges, establish data positions. Furthermore, detachable DNA strands serve as instructions, enabling dynamic linking of pointers for accurate storage and their reversible detachment for dynamic data retrieval. The DONLDS system eliminates the need for full-structure traversal, enables parallel data storage, and supports data insertion and removal. This highlights its adaptability and accuracy in managing complex datasets.</p>

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Linked data storage using DNA origami nanostructures

  • Chenhao Zhang,
  • Mo Xie,
  • Lianhui Wang,
  • Chunhai Fan,
  • Jie Chao

摘要

DNA-based storage is an alternative solution for archiving vast cold data. Its future development aims to meet the demands of hot data storage, which requires rapid random access and efficient data modification. Here, we present a DNA origami nanostructure-enabled linked data storage (DONLDS) system that implements a linked list architecture. This system uses distinct DNA origami shapes as nodes to store diverse data (English letters, numerals, Chinese characters) in binary locations, achieving a storage density of 222.22 Gbit/cm2. Pointers, defined by DNA strands at the nanostructure edges, establish data positions. Furthermore, detachable DNA strands serve as instructions, enabling dynamic linking of pointers for accurate storage and their reversible detachment for dynamic data retrieval. The DONLDS system eliminates the need for full-structure traversal, enables parallel data storage, and supports data insertion and removal. This highlights its adaptability and accuracy in managing complex datasets.