Cargando…
A multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors
Biosensors are key components in engineered biological systems, providing a means of measuring and acting upon the large biochemical space in living cells. However, generating small molecule sensing elements and integrating them into in vivo biosensors have been challenging. Here, using aptamer-coup...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933316/ https://www.ncbi.nlm.nih.gov/pubmed/33664255 http://dx.doi.org/10.1038/s41467-021-21716-0 |
_version_ | 1783660583399194624 |
---|---|
author | Townshend, Brent Xiang, Joy S. Manzanarez, Gabriel Hayden, Eric J. Smolke, Christina D. |
author_facet | Townshend, Brent Xiang, Joy S. Manzanarez, Gabriel Hayden, Eric J. Smolke, Christina D. |
author_sort | Townshend, Brent |
collection | PubMed |
description | Biosensors are key components in engineered biological systems, providing a means of measuring and acting upon the large biochemical space in living cells. However, generating small molecule sensing elements and integrating them into in vivo biosensors have been challenging. Here, using aptamer-coupled ribozyme libraries and a ribozyme regeneration method, de novo rapid in vitro evolution of RNA biosensors (DRIVER) enables multiplexed discovery of biosensors. With DRIVER and high-throughput characterization (CleaveSeq) fully automated on liquid-handling systems, we identify and validate biosensors against six small molecules, including five for which no aptamers were previously found. DRIVER-evolved biosensors are applied directly to regulate gene expression in yeast, displaying activation ratios up to 33-fold. DRIVER biosensors are also applied in detecting metabolite production from a multi-enzyme biosynthetic pathway. This work demonstrates DRIVER as a scalable pipeline for engineering de novo biosensors with wide-ranging applications in biomanufacturing, diagnostics, therapeutics, and synthetic biology. |
format | Online Article Text |
id | pubmed-7933316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79333162021-03-21 A multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors Townshend, Brent Xiang, Joy S. Manzanarez, Gabriel Hayden, Eric J. Smolke, Christina D. Nat Commun Article Biosensors are key components in engineered biological systems, providing a means of measuring and acting upon the large biochemical space in living cells. However, generating small molecule sensing elements and integrating them into in vivo biosensors have been challenging. Here, using aptamer-coupled ribozyme libraries and a ribozyme regeneration method, de novo rapid in vitro evolution of RNA biosensors (DRIVER) enables multiplexed discovery of biosensors. With DRIVER and high-throughput characterization (CleaveSeq) fully automated on liquid-handling systems, we identify and validate biosensors against six small molecules, including five for which no aptamers were previously found. DRIVER-evolved biosensors are applied directly to regulate gene expression in yeast, displaying activation ratios up to 33-fold. DRIVER biosensors are also applied in detecting metabolite production from a multi-enzyme biosynthetic pathway. This work demonstrates DRIVER as a scalable pipeline for engineering de novo biosensors with wide-ranging applications in biomanufacturing, diagnostics, therapeutics, and synthetic biology. Nature Publishing Group UK 2021-03-04 /pmc/articles/PMC7933316/ /pubmed/33664255 http://dx.doi.org/10.1038/s41467-021-21716-0 Text en © The Author(s) 2021 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/. |
spellingShingle | Article Townshend, Brent Xiang, Joy S. Manzanarez, Gabriel Hayden, Eric J. Smolke, Christina D. A multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors |
title | A multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors |
title_full | A multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors |
title_fullStr | A multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors |
title_full_unstemmed | A multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors |
title_short | A multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors |
title_sort | multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933316/ https://www.ncbi.nlm.nih.gov/pubmed/33664255 http://dx.doi.org/10.1038/s41467-021-21716-0 |
work_keys_str_mv | AT townshendbrent amultiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors AT xiangjoys amultiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors AT manzanarezgabriel amultiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors AT haydenericj amultiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors AT smolkechristinad amultiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors AT townshendbrent multiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors AT xiangjoys multiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors AT manzanarezgabriel multiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors AT haydenericj multiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors AT smolkechristinad multiplexedautomatedevolutionpipelineenablesscalablediscoveryandcharacterizationofbiosensors |