
Genetic programs can be compressed and autonomously decompressed in live cells
- Select a language for the TTS:
- UK English Female
- UK English Male
- US English Female
- US English Male
- Australian Female
- Australian Male
- Language selected: (auto detect) - EN
Play all audios:
ABSTRACT Fundamental computer science concepts have inspired novel information-processing molecular systems in test tubes1,2,3,4,5,6,7,8,9,10,11,12,13 and genetically encoded circuits in
live cells14,15,16,17,18,19,20,21. Recent research has shown that digital information storage in DNA, implemented using deep sequencing and conventional software, can approach the maximum
Shannon information capacity22 of two bits per nucleotide23. In nature, DNA is used to store genetic programs, but the information content of the encoding rarely approaches this maximum24.
We hypothesize that the biological function of a genetic program can be preserved while reducing the length of its DNA encoding and increasing the information content per nucleotide. Here we
support this hypothesis by describing an experimental procedure for compressing a genetic program and its subsequent autonomous decompression and execution in human cells. As a test-bed we
choose an RNAi cell classifier circuit25 that comprises redundant DNA sequences and is therefore amenable for compression, as are many other complex gene circuits15,18,26,27,28. In one
example, we implement a compressed encoding of a ten-gene four-input AND gate circuit using only four genetic constructs. The compression principles applied to gene circuits can enable
fitting complex genetic programs into DNA delivery vehicles with limited cargo capacity, and storing compressed and biologically inert programs in vivo for on-demand activation. Access
through your institution Buy or subscribe This is a preview of subscription content, access via your institution ACCESS OPTIONS Access through your institution Access Nature and 54 other
Nature Portfolio journals Get Nature+, our best-value online-access subscription $32.99 / 30 days cancel any time Learn more Subscribe to this journal Receive 12 print issues and online
access $259.00 per year only $21.58 per issue Learn more Buy this article * Purchase on SpringerLink * Instant access to full article PDF Buy now Prices may be subject to local taxes which
are calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS
A TIME-RESOLVED, MULTI-SYMBOL MOLECULAR RECORDER VIA SEQUENTIAL GENOME EDITING Article Open access 06 July 2022 GENETIC CIRCUIT DESIGN AUTOMATION WITH CELLO 2.0 Article 23 February 2022
CRISPR-POWERED QUANTITATIVE KEYWORD SEARCH ENGINE IN DNA DATA STORAGE Article Open access 15 March 2024 REFERENCES * Adleman, L. M. Molecular computation of solutions to combinatorial
problems. _Science_ 266, 1021–1024 (1994). Article Google Scholar * Mao, C. D., LaBean, T. H., Reif, J. H. & Seeman, N. C. Logical computation using algorithmic self-assembly of DNA
triple-crossover molecules. _Nature_ 407, 493–496 (2000). Article Google Scholar * Benenson, Y. et al. Programmable and autonomous computing machine made of biomolecules. _Nature_ 414,
430–434 (2001). Article Google Scholar * Qian, L., Winfree, E. & Bruck, J. Neural network computation with DNA strand displacement cascades. _Nature_ 475, 368–372 (2011). Article
Google Scholar * Liu, Q. et al. DNA computing on surfaces. _Nature_ 403, 175–179 (2000). Article Google Scholar * Rothemund, P. W. K. Folding DNA to create nanoscale shapes and patterns.
_Nature_ 440, 297–302 (2006). Article Google Scholar * Phillips, A. & Cardelli, L. A programming language for composable DNA circuits. _J. Royal Soc. Interface_ 6, S419–S436 (2009).
Article Google Scholar * Gehani, A., LaBean, T. & Reif, J. DNA-based cryptography. _Lecture Notes Comp. Sci._ 2950, 167–188 (2003). Article Google Scholar * Chen, Y.-J. et al.
Programmable chemical controllers made from DNA. _Nat. Nanotech._ 8, 755–762 (2013). Article Google Scholar * Church, G. M., Gao, Y. & Kosuri, S. Next-generation digital information
storage in DNA. _Science_ 337, 1628 (2012). Article Google Scholar * Padirac, A., Fujii, T. & Rondelez, Y. Bottom-up construction of in vitro switchable memories. _Proc. Natl Acad.
Sci. USA_ 109, E3212–E3220 (2012). Article Google Scholar * Weitz, M. et al. Diversity in the dynamical behaviour of a compartmentalized programmable biochemical oscillator. _Nat. Chem._
6, 295–302 (2014). Article Google Scholar * Stojanovic, M. N. & Stefanovic, D. A deoxyribozyme-based molecular automaton. _Nat. Biotechnol._ 21, 1069–1074 (2003). Article Google
Scholar * Gardner, T. S., Cantor, C. R. & Collins, J. J. Construction of a genetic toggle switch in _Escherichia coli_. _Nature_ 403, 339–342 (2000). Article Google Scholar * Rinaudo,
K. et al. A universal RNAi-based logic evaluator that operates in mammalian cells. _Nat. Biotechnol._ 25, 795–801 (2007). Article Google Scholar * Regot, S. et al. Distributed biological
computation with multicellular engineered networks. _Nature_ 469, 207–211 (2011). Article Google Scholar * Bonnet, J., Yin, P., Ortiz, M. E., Subsoontorn, P. & Endy, D. Amplifying
genetic logic gates. _Science_ 340, 599–603 (2013). Article Google Scholar * Daniel, R., Rubens, J. R., Sarpeshkar, R. & Lu, T. K. Synthetic analog computation in living cells.
_Nature_ 497, 619–623 (2013). Article Google Scholar * Nielsen, A. et al. Genetic circuit design automation. _Science_ 352, aac7341 (2016). Article Google Scholar * Green, A. A., Silver,
Pamela, A., Collins, James, J. & Yin, P. Toehold switches: de-novo-designed regulators of gene expression. _Cell_ 159, 925–939 (2014). Article Google Scholar * Anderson, J. C., Voigt,
C. A. & Arkin, A. P. Environmental signal integration by a modular and gate. _Mol. Syst. Biol._ 3, 133 (2007). Article Google Scholar * Shannon, C. E. A mathematical theory of
communication. _Bell Syst. Tech. J._ 27, 379–423 (1948). 623–656. Article Google Scholar * Erlich, Y. & Zielinski, D. DNA fountain enables a robust and efficient storage architecture.
_Science_ 355, 950–954 (2017). Article Google Scholar * Kuruppu, S., Puglisi, S. & Zobel, J. Optimized relative Lempel–Ziv compression of genomes. _Proc. 34th Australas. Comp. Sci.
Conf_. 91–98 (2011). * Xie, Z., Wroblewska, L., Prochazka, L., Weiss, R. & Benenson, Y. Multi-input RNAi-based logic circuit for identification of specific cancer cells. _Science_ 333,
1307–1311 (2011). Article Google Scholar * Xie, M. et al. β-cell-mimetic designer cells provide closed-loop glycemic control. _Science_ 354, 1296–1301 (2016). Article Google Scholar *
Prochazka, L., Angelici, B., Haefliger, B. & Benenson, Y. Highly modular bow-tie gene circuits with programmable dynamic behaviour. _Nat. Commun._ 5, 4729 (2014). Article Google Scholar
* Schreiber, J., Arter, M., Lapique, N., Haefliger, B. & Benenson, Y. Model-guided combinatorial optimization of complex synthetic gene networks. _Mol. Syst. Biol._ 12, 899 (2016).
Article Google Scholar * Heagerty, P., Lumley, T. & Pepe, M. Time-dependent ROC curves for censored survival data and a diagnostic marker. _Biometrics_ 56, 337–344 (2000). Article
Google Scholar * Lapique, N. & Benenson, Y. Digital switching in a biosensor circuit via programmable timing of gene availability. _Nat. Chem. Biol._ 10, 1020–1027 (2014). Article
Google Scholar * Bhatia, S., LaBoda, C., Yanez, V., Haddock-Angelli, T. & Densmore, D. Permutation machines. _ACS Syn. Biol._ 5, 827–834 (2016). Article Google Scholar * Ham, T. S.,
Lee, S. K., Keasling, J. D. & Arkin, A. P. Design and construction of a double inversion recombination switch for heritable sequential genetic memory. _PLoS ONE_ 3, e2815 (2008). Article
Google Scholar * Haefliger, B., Prochazka, L., Angelici, B. & Benenson, Y. Precision multidimensional assay for high-throughput microRNA drug discovery._Nat. Commun._ 7, 10709 (2016).
Article Google Scholar Download references ACKNOWLEDGEMENTS The research was funded by the National Institutes of Health award 5R01CA155320 and by ETH Zürich. We thank B. Angelici for
discussions and E. Shapiro for commenting on the manuscript. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
Nicolas Lapique & Yaakov Benenson Authors * Nicolas Lapique View author publications You can also search for this author inPubMed Google Scholar * Yaakov Benenson View author
publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS N.L. conceived research, performed experiments, analysed data, and wrote the paper. Y.B. conceived
research, analysed data, supervised the project, and wrote the paper. CORRESPONDING AUTHOR Correspondence to Yaakov Benenson. ETHICS DECLARATIONS COMPETING INTERESTS The original miRNA
circuit technology is protected by patents awarded to Y.B. and co-inventors (US patent no. 9458509). The output delay technology is pending, with N.L. and Y.B. listed as co-inventors.
ADDITIONAL INFORMATION PUBLISHER’S NOTE: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. SUPPLEMENTARY INFORMATION
GENETIC PROGRAMS CAN BE COMPRESSED AND AUTONOMOUSLY DECOMPRESSED IN LIVE CELLS LIFE SCIENCES REPORTING SUMMARY RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS
ARTICLE Lapique, N., Benenson, Y. Genetic programs can be compressed and autonomously decompressed in live cells. _Nature Nanotech_ 13, 309–315 (2018).
https://doi.org/10.1038/s41565-017-0004-z Download citation * Received: 27 June 2017 * Accepted: 19 September 2017 * Published: 13 November 2017 * Issue Date: April 2018 * DOI:
https://doi.org/10.1038/s41565-017-0004-z SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not
currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative