Distributed biological computation with multicellular engineered networks
5 páginas, 4 figuras.-- Regot, Sergi et al.
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dig-ibe-es-10261-435012018-10-03T09:03:06Z Distributed biological computation with multicellular engineered networks Regot, Sergi Solé, Ricard V. 5 páginas, 4 figuras.-- Regot, Sergi et al. Ongoing efforts within synthetic and systems biology have been directed towards the building of artificial computational devices1 using engineered biological units as basic building blocks2, 3. Such efforts, inspired in the standard design of electronic circuits4, 5, 6, 7, are limited by the difficulties arising from wiring the basic computational units (logic gates) through the appropriate connections, each one to be implemented by a different molecule. Here, we show that there is a logically different form of implementing complex Boolean logic computations that reduces wiring constraints thanks to a redundant distribution of the desired output among engineered cells. A practical implementation is presented using a library of engineered yeast cells, which can be combined in multiple ways. Each construct defines a logic function and combining cells and their connections allow building more complex synthetic devices. As a proof of principle, we have implemented many logic functions by using just a few engineered cells. Of note, small modifications and combination of those cells allowed for implementing more complex circuits such as a multiplexer or a 1-bit adder with carry, showing the great potential for re-utilization of small parts of the circuit. Our results support the approach of using cellular consortia as an efficient way of engineering complex tasks not easily solvable using single-cell implementations. This work was supported by grants fromthe James McDonnell Foundation to R.S., the MICINN (BIO2009-07762 and FIS2009-12365); Consolider Ingenio 2010 programme (grant CSD2007-0015), from the ESF (ERAS-CT-2003-980409) FP6 as part of a EURYI scheme award (www.esf.org/euryi) to F.P. and the CELLCOMPUT (FP6) project to F.P., R.S. and S.H., and FP7 UNICELLSYS grant (#201142) to F.P. and S.H., and The Santa Fe Institute to R.S.; F.P. and R.S. laboratories are also supported by the Fundación Marcelino Botín (FMB). F.P. is recipient of an ICREA Acadèmia (Generalitat de Catalunya). Peer reviewed 2011-12-20T10:21:09Z 2011-12-20T10:21:09Z 2011-01 artículo http://purl.org/coar/resource_type/c_6501 Nature 469(7329): 207-211 (2011) 0028-0836 http://hdl.handle.net/10261/43501 10.1038/nature09679 1476-4687 en http://dx.doi.org/10.1038/nature09679 none Nature Publishing Group |
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5 páginas, 4 figuras.-- Regot, Sergi et al. |
format |
artículo |
author |
Regot, Sergi Solé, Ricard V. |
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Regot, Sergi Solé, Ricard V. Distributed biological computation with multicellular engineered networks |
author_facet |
Regot, Sergi Solé, Ricard V. |
author_sort |
Regot, Sergi |
title |
Distributed biological computation with multicellular engineered networks |
title_short |
Distributed biological computation with multicellular engineered networks |
title_full |
Distributed biological computation with multicellular engineered networks |
title_fullStr |
Distributed biological computation with multicellular engineered networks |
title_full_unstemmed |
Distributed biological computation with multicellular engineered networks |
title_sort |
distributed biological computation with multicellular engineered networks |
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Nature Publishing Group |
publishDate |
2011-01 |
url |
http://hdl.handle.net/10261/43501 |
work_keys_str_mv |
AT regotsergi distributedbiologicalcomputationwithmulticellularengineerednetworks AT solericardv distributedbiologicalcomputationwithmulticellularengineerednetworks |
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1777668529357586432 |