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A synthetic transcription platform for programmable gene expression in mammalian cells

Precise, scalable, and sustainable control of genetic and cellular activities in mammalian cells is key to developing precision therapeutics and smart biomanufacturing. Here we create a highly tunable, modular, versatile CRISPR-based synthetic transcription system for the programmable control of gen...

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Autores principales: Chen, William C. W., Gaidukov, Leonid, Lai, Yong, Wu, Ming-Ru, Cao, Jicong, Gutbrod, Michael J., Choi, Gigi C. G., Utomo, Rachel P., Chen, Ying-Chou, Wroblewska, Liliana, Kellis, Manolis, Zhang, Lin, Weiss, Ron, Lu, Timothy K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579178/
https://www.ncbi.nlm.nih.gov/pubmed/36257931
http://dx.doi.org/10.1038/s41467-022-33287-9
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author Chen, William C. W.
Gaidukov, Leonid
Lai, Yong
Wu, Ming-Ru
Cao, Jicong
Gutbrod, Michael J.
Choi, Gigi C. G.
Utomo, Rachel P.
Chen, Ying-Chou
Wroblewska, Liliana
Kellis, Manolis
Zhang, Lin
Weiss, Ron
Lu, Timothy K.
author_facet Chen, William C. W.
Gaidukov, Leonid
Lai, Yong
Wu, Ming-Ru
Cao, Jicong
Gutbrod, Michael J.
Choi, Gigi C. G.
Utomo, Rachel P.
Chen, Ying-Chou
Wroblewska, Liliana
Kellis, Manolis
Zhang, Lin
Weiss, Ron
Lu, Timothy K.
author_sort Chen, William C. W.
collection PubMed
description Precise, scalable, and sustainable control of genetic and cellular activities in mammalian cells is key to developing precision therapeutics and smart biomanufacturing. Here we create a highly tunable, modular, versatile CRISPR-based synthetic transcription system for the programmable control of gene expression and cellular phenotypes in mammalian cells. Genetic circuits consisting of well-characterized libraries of guide RNAs, binding motifs of synthetic operators, transcriptional activators, and additional genetic regulatory elements express mammalian genes in a highly predictable and tunable manner. We demonstrate the programmable control of reporter genes episomally and chromosomally, with up to 25-fold more activity than seen with the EF1α promoter, in multiple cell types. We use these circuits to program the secretion of human monoclonal antibodies and to control T-cell effector function marked by interferon-γ production. Antibody titers and interferon-γ concentrations significantly correlate with synthetic promoter strengths, providing a platform for programming gene expression and cellular function in diverse applications.
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spelling pubmed-95791782022-10-20 A synthetic transcription platform for programmable gene expression in mammalian cells Chen, William C. W. Gaidukov, Leonid Lai, Yong Wu, Ming-Ru Cao, Jicong Gutbrod, Michael J. Choi, Gigi C. G. Utomo, Rachel P. Chen, Ying-Chou Wroblewska, Liliana Kellis, Manolis Zhang, Lin Weiss, Ron Lu, Timothy K. Nat Commun Article Precise, scalable, and sustainable control of genetic and cellular activities in mammalian cells is key to developing precision therapeutics and smart biomanufacturing. Here we create a highly tunable, modular, versatile CRISPR-based synthetic transcription system for the programmable control of gene expression and cellular phenotypes in mammalian cells. Genetic circuits consisting of well-characterized libraries of guide RNAs, binding motifs of synthetic operators, transcriptional activators, and additional genetic regulatory elements express mammalian genes in a highly predictable and tunable manner. We demonstrate the programmable control of reporter genes episomally and chromosomally, with up to 25-fold more activity than seen with the EF1α promoter, in multiple cell types. We use these circuits to program the secretion of human monoclonal antibodies and to control T-cell effector function marked by interferon-γ production. Antibody titers and interferon-γ concentrations significantly correlate with synthetic promoter strengths, providing a platform for programming gene expression and cellular function in diverse applications. Nature Publishing Group UK 2022-10-18 /pmc/articles/PMC9579178/ /pubmed/36257931 http://dx.doi.org/10.1038/s41467-022-33287-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chen, William C. W.
Gaidukov, Leonid
Lai, Yong
Wu, Ming-Ru
Cao, Jicong
Gutbrod, Michael J.
Choi, Gigi C. G.
Utomo, Rachel P.
Chen, Ying-Chou
Wroblewska, Liliana
Kellis, Manolis
Zhang, Lin
Weiss, Ron
Lu, Timothy K.
A synthetic transcription platform for programmable gene expression in mammalian cells
title A synthetic transcription platform for programmable gene expression in mammalian cells
title_full A synthetic transcription platform for programmable gene expression in mammalian cells
title_fullStr A synthetic transcription platform for programmable gene expression in mammalian cells
title_full_unstemmed A synthetic transcription platform for programmable gene expression in mammalian cells
title_short A synthetic transcription platform for programmable gene expression in mammalian cells
title_sort synthetic transcription platform for programmable gene expression in mammalian cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579178/
https://www.ncbi.nlm.nih.gov/pubmed/36257931
http://dx.doi.org/10.1038/s41467-022-33287-9
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