Genomically encoded analog memory with precise in vivo DNA writing in living cell populations

Cellular memory is crucial to many natural biological processes and sophisticated synthetic biology applications. Existing cellular memories rely on epigenetic switches or recombinases, which are limited in scalability and recording capacity. In this work, we use the DNA of living cell populations a...

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Bibliographic Details
Main Authors: Farzadfard, Fahim (Contributor), Lu, Timothy K (Author)
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Microbiology Graduate Program (Contributor), Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor), Massachusetts Institute of Technology. Synthetic Biology Center (Contributor), Lu, Timothy K. (Contributor)
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS), 2016-01-14T17:18:30Z.
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