Single-Nucleotide-Resolution Computing and Memory in Living Cells
Open accessPublished version of a preprint
Abstract
The ability to process and store information in living cells is essential for developing next-generation therapeutics and studying biology in situ. However, existing strategies have limited recording capacity and are challenging to scale. To overcome these limitations, we developed DOMINO, a robust and scalable platform for encoding logic and memory in bacterial and eukaryotic cells. Using an efficient single-nucleotide-resolution Read-Write head for DNA manipulation, DOMINO converts the living cells' DNA into an addressable, readable, and writable medium for computation and storage. DOMINO operators enable analog and digital molecular recording for long-term monitoring of signaling dynamics and cellular events. Furthermore, multiple operators can be layered and interconnected to encode order-independent, sequential, and temporal logic, allowing recording and control over the combination, order, and timing of molecular events in cells. We envision that DOMINO will lay the foundation for building robust and sophisticated computation-and-memory gene circuits for numerous biotechnological and biomedical applications.
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Amplified material was pure and ready for re-encapsulation into silica particles, which could be re-introduced directly back into the data pool and thereby represents a complete write-store-access-read cycle that in principle may be applied to larger-scale datasets, with periodic renewal of single-stranded DNA barcodes and bacterial replication of DNA data following reading.
“Amplified material was pure and ready for re-encapsulation into silica particles, which could be re-introduced directly back into the data pool and thereby represents a complete write-store-access-read cycle that in principle may be applied larger-scale datasets, with periodic renewal of single-stranded DNA barcodes and bacterial replication of DNA data following reading25–27.”
From Random access DNA memory using Boolean search in an archival file storage system (2021) · cites this paper as [25]
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References 40 · Cited by 122
- Authors
- Farzadfard, F., Gharaei, N., Higashikuni, Y., Jung, G., Cao, J., & Lu, T. K.
- Affiliations
- Massachusetts Institute of Technology (US)
- Harvard University (US)
- Corresponding author
- Farzadfard, Fahim
- Lu, Timothy K.
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 75
- Issue
- 4
- Pages
- 769-780.e4
- ISSN
- 1097-2765 (ISSN-L)
- PMC
- PMC7001763
- OpenAlex
- W2969285830
- Cited by
- 122
- References
- 40
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 21 · 2023: 14 · 2022: 11 · 2021: 20 · 2020: 19 · 2019: 9 · 2018: 3
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Molecular Cell (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- Funders
- Office of Naval Research
- Defense Advanced Research Projects Agency
- National Science Foundation
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Keywords
- domino, DNA computing, synthetic gene circuits, molecular logic gates, bacterial cells, eukaryotic cells
- MeSH terms
- DNA, Humans, Computers, Molecular, HEK293 Cells
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