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An automated workflow to screen alkene reductases using high-throughput thin layer chromatography
BACKGROUND: Synthetic biology efforts often require high-throughput screening tools for enzyme engineering campaigns. While innovations in chromatographic and mass spectrometry-based techniques provide relevant structural information associated with enzyme activity, these approaches can require cost...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653764/ https://www.ncbi.nlm.nih.gov/pubmed/33292503 http://dx.doi.org/10.1186/s13068-020-01821-w |
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author | Garabedian, Brett M. Meadows, Corey W. Mingardon, Florence Guenther, Joel M. de Rond, Tristan Abourjeily, Raya Lee, Taek Soon |
author_facet | Garabedian, Brett M. Meadows, Corey W. Mingardon, Florence Guenther, Joel M. de Rond, Tristan Abourjeily, Raya Lee, Taek Soon |
author_sort | Garabedian, Brett M. |
collection | PubMed |
description | BACKGROUND: Synthetic biology efforts often require high-throughput screening tools for enzyme engineering campaigns. While innovations in chromatographic and mass spectrometry-based techniques provide relevant structural information associated with enzyme activity, these approaches can require cost-intensive instrumentation and technical expertise not broadly available. Moreover, complex workflows and analysis time can significantly impact throughput. To this end, we develop an automated, 96-well screening platform based on thin layer chromatography (TLC) and use it to monitor in vitro activity of a geranylgeranyl reductase isolated from Sulfolobus acidocaldarius (SaGGR). RESULTS: Unreduced SaGGR products are oxidized to their corresponding epoxide and applied to thin layer silica plates by acoustic printing. These derivatives are chromatographically separated based on the extent of epoxidation and are covalently ligated to a chromophore, allowing detection of enzyme variants with unique product distributions or enhanced reductase activity. Herein, we employ this workflow to examine farnesol reduction using a codon-saturation mutagenesis library at the Leu377 site of SaGGR. We show this TLC-based screen can distinguish between fourfold differences in enzyme activity for select mutants and validated those results by GC–MS. CONCLUSIONS: With appropriate quantitation methods, this workflow can be used to screen polyprenyl reductase activity and can be readily adapted to analyze broader catalyst libraries whose products are amenable to TLC analysis. |
format | Online Article Text |
id | pubmed-7653764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76537642020-11-16 An automated workflow to screen alkene reductases using high-throughput thin layer chromatography Garabedian, Brett M. Meadows, Corey W. Mingardon, Florence Guenther, Joel M. de Rond, Tristan Abourjeily, Raya Lee, Taek Soon Biotechnol Biofuels Methodology BACKGROUND: Synthetic biology efforts often require high-throughput screening tools for enzyme engineering campaigns. While innovations in chromatographic and mass spectrometry-based techniques provide relevant structural information associated with enzyme activity, these approaches can require cost-intensive instrumentation and technical expertise not broadly available. Moreover, complex workflows and analysis time can significantly impact throughput. To this end, we develop an automated, 96-well screening platform based on thin layer chromatography (TLC) and use it to monitor in vitro activity of a geranylgeranyl reductase isolated from Sulfolobus acidocaldarius (SaGGR). RESULTS: Unreduced SaGGR products are oxidized to their corresponding epoxide and applied to thin layer silica plates by acoustic printing. These derivatives are chromatographically separated based on the extent of epoxidation and are covalently ligated to a chromophore, allowing detection of enzyme variants with unique product distributions or enhanced reductase activity. Herein, we employ this workflow to examine farnesol reduction using a codon-saturation mutagenesis library at the Leu377 site of SaGGR. We show this TLC-based screen can distinguish between fourfold differences in enzyme activity for select mutants and validated those results by GC–MS. CONCLUSIONS: With appropriate quantitation methods, this workflow can be used to screen polyprenyl reductase activity and can be readily adapted to analyze broader catalyst libraries whose products are amenable to TLC analysis. BioMed Central 2020-11-09 /pmc/articles/PMC7653764/ /pubmed/33292503 http://dx.doi.org/10.1186/s13068-020-01821-w Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Garabedian, Brett M. Meadows, Corey W. Mingardon, Florence Guenther, Joel M. de Rond, Tristan Abourjeily, Raya Lee, Taek Soon An automated workflow to screen alkene reductases using high-throughput thin layer chromatography |
title | An automated workflow to screen alkene reductases using high-throughput thin layer chromatography |
title_full | An automated workflow to screen alkene reductases using high-throughput thin layer chromatography |
title_fullStr | An automated workflow to screen alkene reductases using high-throughput thin layer chromatography |
title_full_unstemmed | An automated workflow to screen alkene reductases using high-throughput thin layer chromatography |
title_short | An automated workflow to screen alkene reductases using high-throughput thin layer chromatography |
title_sort | automated workflow to screen alkene reductases using high-throughput thin layer chromatography |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653764/ https://www.ncbi.nlm.nih.gov/pubmed/33292503 http://dx.doi.org/10.1186/s13068-020-01821-w |
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