Multiplexed Sequence Encoding: A Framework for DNA Communication
Name
Zakeri-2016-Multiplexed Sequence.pdf
Size
11.21 MB
Format
Adobe PDF
Checksum (MD5)
e0f366dbc44f1aec896fa8db3a0738c0
Author(s)
Zakeri, Bijan
Carr, Peter A.
Lu, Timothy K.
Date Issued
April 2016
Journal
PLOS ONE
Publisher
Public Library of Science
Citation
Zakeri Bijan, Peter A. Carr, and Timothy K. Lu. "Multiplexed Sequence Encoding: A Framework for DNA Communication." PLoS ONE 11:4 (2016): e0152774.
Version
Final published version
Abstract
Synthetic DNA has great propensity for efficiently and stably storing non-biological information. With DNA writing and reading technologies rapidly advancing, new applications for synthetic DNA are emerging in data storage and communication. Traditionally, DNA communication has focused on the encoding and transfer of complete sets of information. Here, we explore the use of DNA for the communication of short messages that are fragmented across multiple distinct DNA molecules. We identified three pivotal points in a communication-data encoding, data transfer & data extraction—and developed novel tools to enable communication via molecules of DNA. To address data encoding, we designed DNA-based individualized keyboards (iKeys) to convert plaintext into DNA, while reducing the occurrence of DNA homopolymers to improve synthesis and sequencing processes. To address data transfer, we implemented a secret-sharing system-Multiplexed Sequence Encoding (MuSE)-that conceals messages between multiple distinct DNA molecules, requiring a combination key to reveal messages. To address data extraction, we achieved the first instance of chromatogram patterning through multiplexed sequencing, thereby enabling a new method for data extraction. We envision these approaches will enable more widespread communication of information via DNA.
MIT Department
MIT Synthetic Biology Center
Lincoln Laboratory
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1371/journal.pone.0152774
