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Biological 2-Input Decoder Circuit in Human Cells

[Image: see text] Decoders are combinational circuits that convert information from n inputs to a maximum of 2(n) outputs. This operation is of major importance in computing systems yet it is vastly underexplored in synthetic biology. Here, we present a synthetic gene network architecture that opera...

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Detalles Bibliográficos
Autores principales: Guinn, Michael, Bleris, Leonidas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165469/
https://www.ncbi.nlm.nih.gov/pubmed/24694115
http://dx.doi.org/10.1021/sb4001596
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author Guinn, Michael
Bleris, Leonidas
author_facet Guinn, Michael
Bleris, Leonidas
author_sort Guinn, Michael
collection PubMed
description [Image: see text] Decoders are combinational circuits that convert information from n inputs to a maximum of 2(n) outputs. This operation is of major importance in computing systems yet it is vastly underexplored in synthetic biology. Here, we present a synthetic gene network architecture that operates as a biological decoder in human cells, converting 2 inputs to 4 outputs. As a proof-of-principle, we use small molecules to emulate the two inputs and fluorescent reporters as the corresponding four outputs. The experiments are performed using transient transfections in human kidney embryonic cells and the characterization by fluorescence microscopy and flow cytometry. We show a clear separation between the ON and OFF mean fluorescent intensity states. Additionally, we adopt the integrated mean fluorescence intensity for the characterization of the circuit and show that this metric is more robust to transfection conditions when compared to the mean fluorescent intensity. To conclude, we present the first implementation of a genetic decoder. This combinational system can be valuable toward engineering higher-order circuits as well as accommodate a multiplexed interface with endogenous cellular functions.
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spelling pubmed-41654692015-04-02 Biological 2-Input Decoder Circuit in Human Cells Guinn, Michael Bleris, Leonidas ACS Synth Biol [Image: see text] Decoders are combinational circuits that convert information from n inputs to a maximum of 2(n) outputs. This operation is of major importance in computing systems yet it is vastly underexplored in synthetic biology. Here, we present a synthetic gene network architecture that operates as a biological decoder in human cells, converting 2 inputs to 4 outputs. As a proof-of-principle, we use small molecules to emulate the two inputs and fluorescent reporters as the corresponding four outputs. The experiments are performed using transient transfections in human kidney embryonic cells and the characterization by fluorescence microscopy and flow cytometry. We show a clear separation between the ON and OFF mean fluorescent intensity states. Additionally, we adopt the integrated mean fluorescence intensity for the characterization of the circuit and show that this metric is more robust to transfection conditions when compared to the mean fluorescent intensity. To conclude, we present the first implementation of a genetic decoder. This combinational system can be valuable toward engineering higher-order circuits as well as accommodate a multiplexed interface with endogenous cellular functions. American Chemical Society 2014-04-02 2014-08-15 /pmc/articles/PMC4165469/ /pubmed/24694115 http://dx.doi.org/10.1021/sb4001596 Text en Copyright © 2014 American Chemical Society Terms of Use (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html)
spellingShingle Guinn, Michael
Bleris, Leonidas
Biological 2-Input Decoder Circuit in Human Cells
title Biological 2-Input Decoder Circuit in Human Cells
title_full Biological 2-Input Decoder Circuit in Human Cells
title_fullStr Biological 2-Input Decoder Circuit in Human Cells
title_full_unstemmed Biological 2-Input Decoder Circuit in Human Cells
title_short Biological 2-Input Decoder Circuit in Human Cells
title_sort biological 2-input decoder circuit in human cells
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165469/
https://www.ncbi.nlm.nih.gov/pubmed/24694115
http://dx.doi.org/10.1021/sb4001596
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