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DNA as a universal chemical substrate for computing and data storage

  • Shuo Yang
  • , Bas Bögels
  • , Fei Wang
  • , Can Xu
  • , Hongjing Dou
  • , Stephen Mann (Corresponding author)
  • , Chunhai Fan (Corresponding author)
  • , Tom F.A. de Greef (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

DNA computing and DNA data storage are emerging fields that are unlocking new possibilities in information technology and diagnostics. These approaches use DNA molecules as a computing substrate or a storage medium, offering nanoscale compactness and operation in unconventional media (including aqueous solutions, water-in-oil microemulsions and self-assembled membranized compartments) for applications beyond traditional silicon-based computing systems. To build a functional DNA computer that can process and store molecular information necessitates the continued development of strategies for computing and data storage, as well as bridging the gap between these fields. In this Review, we explore how DNA can be leveraged in the context of DNA computing with a focus on neural networks and compartmentalized DNA circuits. We also discuss emerging approaches to the storage of data in DNA and associated topics such as the writing, reading, retrieval and post-synthesis editing of DNA-encoded data. Finally, we provide insights into how DNA computing can be integrated with DNA data storage and explore the use of DNA for near-memory computing for future information technology and health analysis applications. (Figure presented.)

Original languageEnglish
Pages (from-to)179-194
Number of pages16
JournalNature Reviews. Chemistry
Volume8
Issue number3
Early online date9 Feb 2024
DOIs
Publication statusPublished - Mar 2024

Funding

The authors acknowledge funding from the National Facility for Translational Medicine (Shanghai), the National Natural Science Foundation of China (grant no. 21991134), the National Key R&D Program of China (grant no. 2022YFE0100600), Microsoft Research PhD Scholarship Programme, the European Research Council (ERC project nos 101000199 AMIGA and EC-2016-674 ADG 740235, PCELLS) and the Eindhoven–Wageningen–Utrecht Alliance ( https://ewuu.nl/nl/ ) that supports the Center for Living Technologies.

FundersFunder number
Microsoft
European Union's Horizon 2020 - Research and Innovation Framework Programme101000199, EC-2016-674 ADG 740235
National Natural Science Foundation of China21991134
National Key Research and Development Program of China2022YFE0100600

    Keywords

    • Neural Networks, Computer
    • DNA/chemistry
    • Computers, Molecular
    • Information Storage and Retrieval

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