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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-07-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-021-02325-5 |
| _version_ | 1818347003549057024 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-13T17:27:15Z |
| format | Article |
| id | doaj.art-d4030bb1a2c34df186adb664ad87a908 |
| institution | Directory Open Access Journal |
| issn | 2399-3642 |
| language | English |
| last_indexed | 2024-12-13T17:27:15Z |
| publishDate | 2021-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj.art-d4030bb1a2c34df186adb664ad87a9082022-12-21T23:37:10ZengNature PortfolioCommunications Biology2399-36422021-07-014111210.1038/s42003-021-02325-5Quantitative characterization of recombinase-based digitizer circuits enables predictable amplification of biological signalsKatherine A. Kiwimagi0Justin H. Letendre1Benjamin H. Weinberg2Junmin Wang3Mingzhe Chen4Leandro Watanabe5Chris J. Myers6Jacob Beal7Wilson W. Wong8Ron Weiss9Biological Engineering, Massachusetts Institute of TechnologyDepartment of Biomedical Engineering and Biological Design Center, Boston UniversityDepartment of Biomedical Engineering and Biological Design Center, Boston UniversityThe Bioinformatics Graduate Program, Boston UniversityBiological Engineering, Massachusetts Institute of TechnologyDepartment of Electrical and Computer Engineering, University of UtahDepartment of Electrical and Computer Engineering, University of UtahRaytheon BBN TechnologiesDepartment of Biomedical Engineering and Biological Design Center, Boston UniversityBiological Engineering, Massachusetts Institute of TechnologyKiwimagi & 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.https://doi.org/10.1038/s42003-021-02325-5 |
| spellingShingle | 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 Communications Biology |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s42003-021-02325-5 |
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