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Dynamic and scalable DNA-based information storage

Author

Listed:
  • Kevin N. Lin

    (North Carolina State University)

  • Kevin Volkel

    (North Carolina State University)

  • James M. Tuck

    (North Carolina State University)

  • Albert J. Keung

    (North Carolina State University)

Abstract

The physical architectures of information storage systems often dictate how information is encoded, databases are organized, and files are accessed. Here we show that a simple architecture comprised of a T7 promoter and a single-stranded overhang domain (ss-dsDNA), can unlock dynamic DNA-based information storage with powerful capabilities and advantages. The overhang provides a physical address for accessing specific DNA strands as well as implementing a range of in-storage file operations. It increases theoretical storage densities and capacities by expanding the encodable sequence space and simplifies the computational burden in designing sets of orthogonal file addresses. Meanwhile, the T7 promoter enables repeatable information access by transcribing information from DNA without destroying it. Furthermore, saturation mutagenesis around the T7 promoter and systematic analyses of environmental conditions reveal design criteria that can be used to optimize information access. This simple but powerful ss-dsDNA architecture lays the foundation for information storage with versatile capabilities.

Suggested Citation

  • Kevin N. Lin & Kevin Volkel & James M. Tuck & Albert J. Keung, 2020. "Dynamic and scalable DNA-based information storage," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16797-2
    DOI: 10.1038/s41467-020-16797-2
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    Cited by:

    1. Lifu Song & Feng Geng & Zi-Yi Gong & Xin Chen & Jijun Tang & Chunye Gong & Libang Zhou & Rui Xia & Ming-Zhe Han & Jing-Yi Xu & Bing-Zhi Li & Ying-Jin Yuan, 2022. "Robust data storage in DNA by de Bruijn graph-based de novo strand assembly," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Cheng Kai Lim & Jing Wui Yeoh & Aurelius Andrew Kunartama & Wen Shan Yew & Chueh Loo Poh, 2023. "A biological camera that captures and stores images directly into DNA," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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