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Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor
Metabolic heterogeneity between individual cells of a population harbors significant challenges for fundamental and applied research. Identifying metabolic heterogeneity and investigating its emergence require tools to zoom into metabolism of individual cells. While methods exist to measure metaboli...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920703/ https://www.ncbi.nlm.nih.gov/pubmed/31885198 http://dx.doi.org/10.15252/msb.20199071 |
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author | Monteiro, Francisca Hubmann, Georg Takhaveev, Vakil Vedelaar, Silke R Norder, Justin Hekelaar, Johan Saldida, Joana Litsios, Athanasios Wijma, Hein J Schmidt, Alexander Heinemann, Matthias |
author_facet | Monteiro, Francisca Hubmann, Georg Takhaveev, Vakil Vedelaar, Silke R Norder, Justin Hekelaar, Johan Saldida, Joana Litsios, Athanasios Wijma, Hein J Schmidt, Alexander Heinemann, Matthias |
author_sort | Monteiro, Francisca |
collection | PubMed |
description | Metabolic heterogeneity between individual cells of a population harbors significant challenges for fundamental and applied research. Identifying metabolic heterogeneity and investigating its emergence require tools to zoom into metabolism of individual cells. While methods exist to measure metabolite levels in single cells, we lack capability to measure metabolic flux, i.e., the ultimate functional output of metabolic activity, on the single‐cell level. Here, combining promoter engineering, computational protein design, biochemical methods, proteomics, and metabolomics, we developed a biosensor to measure glycolytic flux in single yeast cells. Therefore, drawing on the robust cell‐intrinsic correlation between glycolytic flux and levels of fructose‐1,6‐bisphosphate (FBP), we transplanted the B. subtilis FBP‐binding transcription factor CggR into yeast. With the developed biosensor, we robustly identified cell subpopulations with different FBP levels in mixed cultures, when subjected to flow cytometry and microscopy. Employing microfluidics, we were also able to assess the temporal FBP/glycolytic flux dynamics during the cell cycle. We anticipate that our biosensor will become a valuable tool to identify and study metabolic heterogeneity in cell populations. |
format | Online Article Text |
id | pubmed-6920703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69207032019-12-27 Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor Monteiro, Francisca Hubmann, Georg Takhaveev, Vakil Vedelaar, Silke R Norder, Justin Hekelaar, Johan Saldida, Joana Litsios, Athanasios Wijma, Hein J Schmidt, Alexander Heinemann, Matthias Mol Syst Biol Methods Metabolic heterogeneity between individual cells of a population harbors significant challenges for fundamental and applied research. Identifying metabolic heterogeneity and investigating its emergence require tools to zoom into metabolism of individual cells. While methods exist to measure metabolite levels in single cells, we lack capability to measure metabolic flux, i.e., the ultimate functional output of metabolic activity, on the single‐cell level. Here, combining promoter engineering, computational protein design, biochemical methods, proteomics, and metabolomics, we developed a biosensor to measure glycolytic flux in single yeast cells. Therefore, drawing on the robust cell‐intrinsic correlation between glycolytic flux and levels of fructose‐1,6‐bisphosphate (FBP), we transplanted the B. subtilis FBP‐binding transcription factor CggR into yeast. With the developed biosensor, we robustly identified cell subpopulations with different FBP levels in mixed cultures, when subjected to flow cytometry and microscopy. Employing microfluidics, we were also able to assess the temporal FBP/glycolytic flux dynamics during the cell cycle. We anticipate that our biosensor will become a valuable tool to identify and study metabolic heterogeneity in cell populations. John Wiley and Sons Inc. 2019-12-19 /pmc/articles/PMC6920703/ /pubmed/31885198 http://dx.doi.org/10.15252/msb.20199071 Text en © 2019 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Monteiro, Francisca Hubmann, Georg Takhaveev, Vakil Vedelaar, Silke R Norder, Justin Hekelaar, Johan Saldida, Joana Litsios, Athanasios Wijma, Hein J Schmidt, Alexander Heinemann, Matthias Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor |
title | Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor |
title_full | Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor |
title_fullStr | Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor |
title_full_unstemmed | Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor |
title_short | Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor |
title_sort | measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920703/ https://www.ncbi.nlm.nih.gov/pubmed/31885198 http://dx.doi.org/10.15252/msb.20199071 |
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