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A tunable zinc finger-based framework for Boolean logic computation in mammalian cells

The ability to perform molecular-level computation in mammalian cells has the potential to enable a new wave of sophisticated cell-based therapies and diagnostics. To this end, we developed a Boolean logic framework utilizing artificial Cys(2)–His(2) zinc finger transcription factors (ZF-TFs) as com...

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Detalles Bibliográficos
Autores principales: Lohmueller, Jason J., Armel, Thomas Z., Silver, Pamela A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367183/
https://www.ncbi.nlm.nih.gov/pubmed/22323524
http://dx.doi.org/10.1093/nar/gks142
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author Lohmueller, Jason J.
Armel, Thomas Z.
Silver, Pamela A.
author_facet Lohmueller, Jason J.
Armel, Thomas Z.
Silver, Pamela A.
author_sort Lohmueller, Jason J.
collection PubMed
description The ability to perform molecular-level computation in mammalian cells has the potential to enable a new wave of sophisticated cell-based therapies and diagnostics. To this end, we developed a Boolean logic framework utilizing artificial Cys(2)–His(2) zinc finger transcription factors (ZF-TFs) as computing elements. Artificial ZFs can be designed to specifically bind different DNA sequences and thus comprise a diverse set of components ideal for the construction of scalable networks. We generate ZF-TF activators and repressors and demonstrate a novel, general method to tune ZF-TF response by fusing ZF-TFs to leucine zipper homodimerization domains. We describe 15 transcriptional activators that display 2- to 463-fold induction and 15 transcriptional repressors that show 1.3- to 16-fold repression. Using these ZF-TFs, we compute OR, NOR, AND and NAND logic, employing hybrid promoters and split intein-mediated protein splicing to integrate signals. The split intein strategy is able to fully reconstitute the ZF-TFs, maintaining them as a uniform set of computing elements. Together, these components comprise a robust platform for building mammalian synthetic gene circuits capable of precisely modulating cellular behavior.
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spelling pubmed-33671832012-06-05 A tunable zinc finger-based framework for Boolean logic computation in mammalian cells Lohmueller, Jason J. Armel, Thomas Z. Silver, Pamela A. Nucleic Acids Res Synthetic Biology and Chemistry The ability to perform molecular-level computation in mammalian cells has the potential to enable a new wave of sophisticated cell-based therapies and diagnostics. To this end, we developed a Boolean logic framework utilizing artificial Cys(2)–His(2) zinc finger transcription factors (ZF-TFs) as computing elements. Artificial ZFs can be designed to specifically bind different DNA sequences and thus comprise a diverse set of components ideal for the construction of scalable networks. We generate ZF-TF activators and repressors and demonstrate a novel, general method to tune ZF-TF response by fusing ZF-TFs to leucine zipper homodimerization domains. We describe 15 transcriptional activators that display 2- to 463-fold induction and 15 transcriptional repressors that show 1.3- to 16-fold repression. Using these ZF-TFs, we compute OR, NOR, AND and NAND logic, employing hybrid promoters and split intein-mediated protein splicing to integrate signals. The split intein strategy is able to fully reconstitute the ZF-TFs, maintaining them as a uniform set of computing elements. Together, these components comprise a robust platform for building mammalian synthetic gene circuits capable of precisely modulating cellular behavior. Oxford University Press 2012-06 2012-02-09 /pmc/articles/PMC3367183/ /pubmed/22323524 http://dx.doi.org/10.1093/nar/gks142 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Synthetic Biology and Chemistry
Lohmueller, Jason J.
Armel, Thomas Z.
Silver, Pamela A.
A tunable zinc finger-based framework for Boolean logic computation in mammalian cells
title A tunable zinc finger-based framework for Boolean logic computation in mammalian cells
title_full A tunable zinc finger-based framework for Boolean logic computation in mammalian cells
title_fullStr A tunable zinc finger-based framework for Boolean logic computation in mammalian cells
title_full_unstemmed A tunable zinc finger-based framework for Boolean logic computation in mammalian cells
title_short A tunable zinc finger-based framework for Boolean logic computation in mammalian cells
title_sort tunable zinc finger-based framework for boolean logic computation in mammalian cells
topic Synthetic Biology and Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367183/
https://www.ncbi.nlm.nih.gov/pubmed/22323524
http://dx.doi.org/10.1093/nar/gks142
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