Synthetic mixed-signal computation in living cells
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/108722 https://doi.org/10.1038/ncomms11658 |
Resumo: | Living cells implement complex computations on the continuous environmental signals that they encounter. These computations involve both analogue- and digital-like processing of signals to give rise to complex developmental programs, context-dependent behaviours and homeostatic activities. In contrast to natural biological systems, synthetic biological systems have largely focused on either digital or analogue computation separately. Here we integrate analogue and digital computation to implement complex hybrid synthetic genetic programs in living cells. We present a framework for building comparator gene circuits to digitize analogue inputs based on different thresholds. We then demonstrate that comparators can be predictably composed together to build band-pass filters, ternary logic systems and multi-level analogue-to-digital converters. In addition, we interface these analogue-to-digital circuits with other digital gene circuits to enable concentration-dependent logic. We expect that this hybrid computational paradigm will enable new industrial, diagnostic and therapeutic applications with engineered cells. |
id |
RCAP_bf821c385e1deaa04400c1e40a1b39ce |
---|---|
oai_identifier_str |
oai:estudogeral.uc.pt:10316/108722 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Synthetic mixed-signal computation in living cellsCell EngineeringEscherichia coliGenetic EngineeringSignal Processing, Computer-AssistedComputers, MolecularGene Regulatory NetworksGenes, SyntheticSynthetic BiologyLiving cells implement complex computations on the continuous environmental signals that they encounter. These computations involve both analogue- and digital-like processing of signals to give rise to complex developmental programs, context-dependent behaviours and homeostatic activities. In contrast to natural biological systems, synthetic biological systems have largely focused on either digital or analogue computation separately. Here we integrate analogue and digital computation to implement complex hybrid synthetic genetic programs in living cells. We present a framework for building comparator gene circuits to digitize analogue inputs based on different thresholds. We then demonstrate that comparators can be predictably composed together to build band-pass filters, ternary logic systems and multi-level analogue-to-digital converters. In addition, we interface these analogue-to-digital circuits with other digital gene circuits to enable concentration-dependent logic. We expect that this hybrid computational paradigm will enable new industrial, diagnostic and therapeutic applications with engineered cells.Springer Nature2016-06-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/108722http://hdl.handle.net/10316/108722https://doi.org/10.1038/ncomms11658eng2041-1723Rubens, Jacob R.Selvaggio, GianlucaLu, Timothy K.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-09-11T08:34:42Zoai:estudogeral.uc.pt:10316/108722Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:24:59.638943Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Synthetic mixed-signal computation in living cells |
title |
Synthetic mixed-signal computation in living cells |
spellingShingle |
Synthetic mixed-signal computation in living cells Rubens, Jacob R. Cell Engineering Escherichia coli Genetic Engineering Signal Processing, Computer-Assisted Computers, Molecular Gene Regulatory Networks Genes, Synthetic Synthetic Biology |
title_short |
Synthetic mixed-signal computation in living cells |
title_full |
Synthetic mixed-signal computation in living cells |
title_fullStr |
Synthetic mixed-signal computation in living cells |
title_full_unstemmed |
Synthetic mixed-signal computation in living cells |
title_sort |
Synthetic mixed-signal computation in living cells |
author |
Rubens, Jacob R. |
author_facet |
Rubens, Jacob R. Selvaggio, Gianluca Lu, Timothy K. |
author_role |
author |
author2 |
Selvaggio, Gianluca Lu, Timothy K. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rubens, Jacob R. Selvaggio, Gianluca Lu, Timothy K. |
dc.subject.por.fl_str_mv |
Cell Engineering Escherichia coli Genetic Engineering Signal Processing, Computer-Assisted Computers, Molecular Gene Regulatory Networks Genes, Synthetic Synthetic Biology |
topic |
Cell Engineering Escherichia coli Genetic Engineering Signal Processing, Computer-Assisted Computers, Molecular Gene Regulatory Networks Genes, Synthetic Synthetic Biology |
description |
Living cells implement complex computations on the continuous environmental signals that they encounter. These computations involve both analogue- and digital-like processing of signals to give rise to complex developmental programs, context-dependent behaviours and homeostatic activities. In contrast to natural biological systems, synthetic biological systems have largely focused on either digital or analogue computation separately. Here we integrate analogue and digital computation to implement complex hybrid synthetic genetic programs in living cells. We present a framework for building comparator gene circuits to digitize analogue inputs based on different thresholds. We then demonstrate that comparators can be predictably composed together to build band-pass filters, ternary logic systems and multi-level analogue-to-digital converters. In addition, we interface these analogue-to-digital circuits with other digital gene circuits to enable concentration-dependent logic. We expect that this hybrid computational paradigm will enable new industrial, diagnostic and therapeutic applications with engineered cells. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-03 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/108722 http://hdl.handle.net/10316/108722 https://doi.org/10.1038/ncomms11658 |
url |
http://hdl.handle.net/10316/108722 https://doi.org/10.1038/ncomms11658 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2041-1723 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Springer Nature |
publisher.none.fl_str_mv |
Springer Nature |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799134132884733952 |