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Assessment of fluorescent protein candidates for multi-color flow cytometry analysis of Saccharomyces cerevisiae

Transcription factor-based biosensors represent promising tools in the construction and evaluation of efficient cell factories for the sustainable production of fuels, chemicals and pharmaceuticals. They can notably be designed to follow the production of a target compound or to monitor key cellular...

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Autores principales: Perruca-Foncillas, Raquel, Davidsson, Johan, Carlquist, Magnus, Gorwa-Grauslund, Marie F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171426/
https://www.ncbi.nlm.nih.gov/pubmed/35686015
http://dx.doi.org/10.1016/j.btre.2022.e00735
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author Perruca-Foncillas, Raquel
Davidsson, Johan
Carlquist, Magnus
Gorwa-Grauslund, Marie F.
author_facet Perruca-Foncillas, Raquel
Davidsson, Johan
Carlquist, Magnus
Gorwa-Grauslund, Marie F.
author_sort Perruca-Foncillas, Raquel
collection PubMed
description Transcription factor-based biosensors represent promising tools in the construction and evaluation of efficient cell factories for the sustainable production of fuels, chemicals and pharmaceuticals. They can notably be designed to follow the production of a target compound or to monitor key cellular properties, such as stress or starvation. In most cases, the biosensors are built with fluorescent protein (FP) genes as reporter genes because of the direct correlation between promoter activity and fluorescence level that can be measured using, for instance, flow cytometry or fluorometry. The expansion of available FPs offers the possibility of using several FPs - and biosensors – in parallel in one host, with simultaneous detection using multicolor flow cytometry. However, the technique is currently limited by the unavailability of combinations of FP whose genes can be successfully expressed in the host and whose fluorescence can be efficiently distinguished from each other. In the present study, the broad collection of available FPs was explored and four different FPs were successfully expressed in the yeast Saccharomyces cerevisiae: yEGFP, mEGFP, CyOFP1opt and mBeRFPopt. After studying their fluorescence signals, population heterogeneity and possible interactions, we recommend two original combinations of FPs for bi-color flow cytometry: mEGFP together with either CyOFP1opt or mBeRFPopt, as well as the combination of all three FPs mEGFP, CyOFP1opt and mBeRFPopt for tri-color flow cytometry. These combinations will allow to perform different types of bi-color or possibly tri-color flow cytometry and FACS experiments with yeast, such as phenotype evaluation, screening or sorting, by single-laser excitation with a standard 488 nm blue laser.
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spelling pubmed-91714262022-06-08 Assessment of fluorescent protein candidates for multi-color flow cytometry analysis of Saccharomyces cerevisiae Perruca-Foncillas, Raquel Davidsson, Johan Carlquist, Magnus Gorwa-Grauslund, Marie F. Biotechnol Rep (Amst) Research Article Transcription factor-based biosensors represent promising tools in the construction and evaluation of efficient cell factories for the sustainable production of fuels, chemicals and pharmaceuticals. They can notably be designed to follow the production of a target compound or to monitor key cellular properties, such as stress or starvation. In most cases, the biosensors are built with fluorescent protein (FP) genes as reporter genes because of the direct correlation between promoter activity and fluorescence level that can be measured using, for instance, flow cytometry or fluorometry. The expansion of available FPs offers the possibility of using several FPs - and biosensors – in parallel in one host, with simultaneous detection using multicolor flow cytometry. However, the technique is currently limited by the unavailability of combinations of FP whose genes can be successfully expressed in the host and whose fluorescence can be efficiently distinguished from each other. In the present study, the broad collection of available FPs was explored and four different FPs were successfully expressed in the yeast Saccharomyces cerevisiae: yEGFP, mEGFP, CyOFP1opt and mBeRFPopt. After studying their fluorescence signals, population heterogeneity and possible interactions, we recommend two original combinations of FPs for bi-color flow cytometry: mEGFP together with either CyOFP1opt or mBeRFPopt, as well as the combination of all three FPs mEGFP, CyOFP1opt and mBeRFPopt for tri-color flow cytometry. These combinations will allow to perform different types of bi-color or possibly tri-color flow cytometry and FACS experiments with yeast, such as phenotype evaluation, screening or sorting, by single-laser excitation with a standard 488 nm blue laser. Elsevier 2022-04-26 /pmc/articles/PMC9171426/ /pubmed/35686015 http://dx.doi.org/10.1016/j.btre.2022.e00735 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Perruca-Foncillas, Raquel
Davidsson, Johan
Carlquist, Magnus
Gorwa-Grauslund, Marie F.
Assessment of fluorescent protein candidates for multi-color flow cytometry analysis of Saccharomyces cerevisiae
title Assessment of fluorescent protein candidates for multi-color flow cytometry analysis of Saccharomyces cerevisiae
title_full Assessment of fluorescent protein candidates for multi-color flow cytometry analysis of Saccharomyces cerevisiae
title_fullStr Assessment of fluorescent protein candidates for multi-color flow cytometry analysis of Saccharomyces cerevisiae
title_full_unstemmed Assessment of fluorescent protein candidates for multi-color flow cytometry analysis of Saccharomyces cerevisiae
title_short Assessment of fluorescent protein candidates for multi-color flow cytometry analysis of Saccharomyces cerevisiae
title_sort assessment of fluorescent protein candidates for multi-color flow cytometry analysis of saccharomyces cerevisiae
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171426/
https://www.ncbi.nlm.nih.gov/pubmed/35686015
http://dx.doi.org/10.1016/j.btre.2022.e00735
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