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Protocell arrays for simultaneous detection of diverse analytes
Simultaneous detection of multiple analytes from a single sample (multiplexing), particularly when done at the point of need, can guide complex decision-making without increasing the required sample volume or cost per test. Despite recent advances, multiplexed analyte sensing still typically faces t...
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/PMC8481512/ https://www.ncbi.nlm.nih.gov/pubmed/34588445 http://dx.doi.org/10.1038/s41467-021-25989-3 |
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author | Zhang, Yan Kojima, Taisuke Kim, Ge-Ah McNerney, Monica P. Takayama, Shuichi Styczynski, Mark P. |
author_facet | Zhang, Yan Kojima, Taisuke Kim, Ge-Ah McNerney, Monica P. Takayama, Shuichi Styczynski, Mark P. |
author_sort | Zhang, Yan |
collection | PubMed |
description | Simultaneous detection of multiple analytes from a single sample (multiplexing), particularly when done at the point of need, can guide complex decision-making without increasing the required sample volume or cost per test. Despite recent advances, multiplexed analyte sensing still typically faces the critical limitation of measuring only one type of molecule (e.g., small molecules or nucleic acids) per assay platform. Here, we address this bottleneck with a customizable platform that integrates cell-free expression (CFE) with a polymer-based aqueous two-phase system (ATPS), producing membrane-less protocells containing transcription and translation machinery used for detection. We show that multiple protocells, each performing a distinct sensing reaction, can be arrayed in the same microwell to detect chemically diverse targets from the same sample. Furthermore, these protocell arrays are compatible with human biofluids, maintain function after lyophilization and rehydration, and can produce visually interpretable readouts, illustrating this platform’s potential as a minimal-equipment, field-deployable, multi-analyte detection tool. |
format | Online Article Text |
id | pubmed-8481512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84815122021-10-22 Protocell arrays for simultaneous detection of diverse analytes Zhang, Yan Kojima, Taisuke Kim, Ge-Ah McNerney, Monica P. Takayama, Shuichi Styczynski, Mark P. Nat Commun Article Simultaneous detection of multiple analytes from a single sample (multiplexing), particularly when done at the point of need, can guide complex decision-making without increasing the required sample volume or cost per test. Despite recent advances, multiplexed analyte sensing still typically faces the critical limitation of measuring only one type of molecule (e.g., small molecules or nucleic acids) per assay platform. Here, we address this bottleneck with a customizable platform that integrates cell-free expression (CFE) with a polymer-based aqueous two-phase system (ATPS), producing membrane-less protocells containing transcription and translation machinery used for detection. We show that multiple protocells, each performing a distinct sensing reaction, can be arrayed in the same microwell to detect chemically diverse targets from the same sample. Furthermore, these protocell arrays are compatible with human biofluids, maintain function after lyophilization and rehydration, and can produce visually interpretable readouts, illustrating this platform’s potential as a minimal-equipment, field-deployable, multi-analyte detection tool. Nature Publishing Group UK 2021-09-29 /pmc/articles/PMC8481512/ /pubmed/34588445 http://dx.doi.org/10.1038/s41467-021-25989-3 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 Zhang, Yan Kojima, Taisuke Kim, Ge-Ah McNerney, Monica P. Takayama, Shuichi Styczynski, Mark P. Protocell arrays for simultaneous detection of diverse analytes |
title | Protocell arrays for simultaneous detection of diverse analytes |
title_full | Protocell arrays for simultaneous detection of diverse analytes |
title_fullStr | Protocell arrays for simultaneous detection of diverse analytes |
title_full_unstemmed | Protocell arrays for simultaneous detection of diverse analytes |
title_short | Protocell arrays for simultaneous detection of diverse analytes |
title_sort | protocell arrays for simultaneous detection of diverse analytes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481512/ https://www.ncbi.nlm.nih.gov/pubmed/34588445 http://dx.doi.org/10.1038/s41467-021-25989-3 |
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