Quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals

Kiwimagi & Letendre et al. present a workflow to quantitatively define recombinase-based digitizer and predict responses to different input signals. With a mechanistic/phenotypic model that can predict circuit performance, they generate a synthetic cell-cell communication device that amplifies a...

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Autores principales:	Katherine A. Kiwimagi, Justin H. Letendre, Benjamin H. Weinberg, Junmin Wang, Mingzhe Chen, Leandro Watanabe, Chris J. Myers, Jacob Beal, Wilson W. Wong, Ron Weiss
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/d4030bb1a2c34df186adb664ad87a908
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spelling	oai:doaj.org-article:d4030bb1a2c34df186adb664ad87a9082021-12-02T15:33:09ZQuantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals10.1038/s42003-021-02325-52399-3642https://doaj.org/article/d4030bb1a2c34df186adb664ad87a9082021-07-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02325-5https://doaj.org/toc/2399-3642Kiwimagi & Letendre et al. present a workflow to quantitatively define recombinase-based digitizer and predict responses to different input signals. With a mechanistic/phenotypic model that can predict circuit performance, they generate a synthetic cell-cell communication device that amplifies a synNotch output signal.Katherine A. KiwimagiJustin H. LetendreBenjamin H. WeinbergJunmin WangMingzhe ChenLeandro WatanabeChris J. MyersJacob BealWilson W. WongRon WeissNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Katherine A. Kiwimagi Justin H. Letendre Benjamin H. Weinberg Junmin Wang Mingzhe Chen Leandro Watanabe Chris J. Myers Jacob Beal Wilson W. Wong Ron Weiss Quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals
description	Kiwimagi & Letendre et al. present a workflow to quantitatively define recombinase-based digitizer and predict responses to different input signals. With a mechanistic/phenotypic model that can predict circuit performance, they generate a synthetic cell-cell communication device that amplifies a synNotch output signal.
format	article
author	Katherine A. Kiwimagi Justin H. Letendre Benjamin H. Weinberg Junmin Wang Mingzhe Chen Leandro Watanabe Chris J. Myers Jacob Beal Wilson W. Wong Ron Weiss
author_facet	Katherine A. Kiwimagi Justin H. Letendre Benjamin H. Weinberg Junmin Wang Mingzhe Chen Leandro Watanabe Chris J. Myers Jacob Beal Wilson W. Wong Ron Weiss
author_sort	Katherine A. Kiwimagi
title	Quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals
title_short	Quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals
title_full	Quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals
title_fullStr	Quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals
title_full_unstemmed	Quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals
title_sort	quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d4030bb1a2c34df186adb664ad87a908
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Quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signals

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