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Engineering digitizer circuits for chemical and genetic screens in human cells
Cell-based transcriptional reporters are invaluable in high-throughput compound and CRISPR screens for identifying compounds or genes that can impact a pathway of interest. However, many transcriptional reporters have weak activities and transient responses. This can result in overlooking therapeuti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536748/ https://www.ncbi.nlm.nih.gov/pubmed/34686672 http://dx.doi.org/10.1038/s41467-021-26359-9 |
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author | Wong, Nicole M. Frias, Elizabeth Sigoillot, Frederic D. Letendre, Justin H. Hild, Marc Wong, Wilson W. |
author_facet | Wong, Nicole M. Frias, Elizabeth Sigoillot, Frederic D. Letendre, Justin H. Hild, Marc Wong, Wilson W. |
author_sort | Wong, Nicole M. |
collection | PubMed |
description | Cell-based transcriptional reporters are invaluable in high-throughput compound and CRISPR screens for identifying compounds or genes that can impact a pathway of interest. However, many transcriptional reporters have weak activities and transient responses. This can result in overlooking therapeutic targets and compounds that are difficult to detect, necessitating the resource-consuming process of running multiple screens at various timepoints. Here, we present RADAR, a digitizer circuit for amplifying reporter activity and retaining memory of pathway activation. Reporting on the AP-1 pathway, our circuit identifies compounds with known activity against PKC-related pathways and shows an enhanced dynamic range with improved sensitivity compared to a classical reporter in compound screens. In the first genome-wide pooled CRISPR screen for the AP-1 pathway, RADAR identifies canonical genes from the MAPK and PKC pathways, as well as non-canonical regulators. Thus, our scalable system highlights the benefit and versatility of using genetic circuits in large-scale cell-based screening. |
format | Online Article Text |
id | pubmed-8536748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85367482021-11-15 Engineering digitizer circuits for chemical and genetic screens in human cells Wong, Nicole M. Frias, Elizabeth Sigoillot, Frederic D. Letendre, Justin H. Hild, Marc Wong, Wilson W. Nat Commun Article Cell-based transcriptional reporters are invaluable in high-throughput compound and CRISPR screens for identifying compounds or genes that can impact a pathway of interest. However, many transcriptional reporters have weak activities and transient responses. This can result in overlooking therapeutic targets and compounds that are difficult to detect, necessitating the resource-consuming process of running multiple screens at various timepoints. Here, we present RADAR, a digitizer circuit for amplifying reporter activity and retaining memory of pathway activation. Reporting on the AP-1 pathway, our circuit identifies compounds with known activity against PKC-related pathways and shows an enhanced dynamic range with improved sensitivity compared to a classical reporter in compound screens. In the first genome-wide pooled CRISPR screen for the AP-1 pathway, RADAR identifies canonical genes from the MAPK and PKC pathways, as well as non-canonical regulators. Thus, our scalable system highlights the benefit and versatility of using genetic circuits in large-scale cell-based screening. Nature Publishing Group UK 2021-10-22 /pmc/articles/PMC8536748/ /pubmed/34686672 http://dx.doi.org/10.1038/s41467-021-26359-9 Text en © The Author(s) 2021 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 Wong, Nicole M. Frias, Elizabeth Sigoillot, Frederic D. Letendre, Justin H. Hild, Marc Wong, Wilson W. Engineering digitizer circuits for chemical and genetic screens in human cells |
title | Engineering digitizer circuits for chemical and genetic screens in human cells |
title_full | Engineering digitizer circuits for chemical and genetic screens in human cells |
title_fullStr | Engineering digitizer circuits for chemical and genetic screens in human cells |
title_full_unstemmed | Engineering digitizer circuits for chemical and genetic screens in human cells |
title_short | Engineering digitizer circuits for chemical and genetic screens in human cells |
title_sort | engineering digitizer circuits for chemical and genetic screens in human cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536748/ https://www.ncbi.nlm.nih.gov/pubmed/34686672 http://dx.doi.org/10.1038/s41467-021-26359-9 |
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