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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...

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Autores principales: Monteiro, Francisca, Hubmann, Georg, Takhaveev, Vakil, Vedelaar, Silke R, Norder, Justin, Hekelaar, Johan, Saldida, Joana, Litsios, Athanasios, Wijma, Hein J, Schmidt, Alexander, Heinemann, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
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.
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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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