Assessing the growth kinetics and stoichiometry of Escherichia coli at the single‐cell level

Abstract Microfluidic cultivation and single‐cell analysis are inherent parts of modern microbial biotechnology and microbiology. However, implementing biochemical engineering principles based on the kinetics and stoichiometry of growth in microscopic spaces remained unattained. We here present a no...

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Main Authors: Katharina Smaluch, Bastian Wollenhaupt, Heiko Steinhoff, Dietrich Kohlheyer, Alexander Grünberger, Christian Dusny
Format: Article
Language:English
Published: Wiley-VCH 2023-01-01
Series:Engineering in Life Sciences
Subjects:
Online Access:https://doi.org/10.1002/elsc.202100157
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author Katharina Smaluch
Bastian Wollenhaupt
Heiko Steinhoff
Dietrich Kohlheyer
Alexander Grünberger
Christian Dusny
author_facet Katharina Smaluch
Bastian Wollenhaupt
Heiko Steinhoff
Dietrich Kohlheyer
Alexander Grünberger
Christian Dusny
author_sort Katharina Smaluch
collection DOAJ
description Abstract Microfluidic cultivation and single‐cell analysis are inherent parts of modern microbial biotechnology and microbiology. However, implementing biochemical engineering principles based on the kinetics and stoichiometry of growth in microscopic spaces remained unattained. We here present a novel integrated framework that utilizes distinct microfluidic cultivation technologies and single‐cell analytics to make the fundamental math of process‐oriented biochemical engineering applicable at the single‐cell level. A combination of non‐invasive optical cell mass determination with sub‐pg sensitivity, microfluidic perfusion cultivations for establishing physiological steady‐states, and picoliter batch reactors, enabled the quantification of all physiological parameters relevant to approximate a material balance in microfluidic reaction environments. We determined state variables (biomass concentration based on single‐cell dry weight and mass density), biomass synthesis rates, and substrate affinities of cells grown in microfluidic environments. Based on this data, we mathematically derived the specific kinetics of substrate uptake and growth stoichiometry in glucose‐grown Escherichia coli with single‐cell resolution. This framework may initiate microscale material balancing beyond the averaged values obtained from populations as a basis for integrating heterogeneous kinetic and stoichiometric single‐cell data into generalized bioprocess models and descriptions.
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spelling doaj.art-1797376f4c864345aa4cf19e954faa622023-01-05T02:40:22ZengWiley-VCHEngineering in Life Sciences1618-02401618-28632023-01-01231n/an/a10.1002/elsc.202100157Assessing the growth kinetics and stoichiometry of Escherichia coli at the single‐cell levelKatharina Smaluch0Bastian Wollenhaupt1Heiko Steinhoff2Dietrich Kohlheyer3Alexander Grünberger4Christian Dusny5Department of Solar Materials – Microscale Analysis and Engineering Helmholtz‐Centre for Environmental Research – UFZ Leipzig Leizpig GermanyMicroscale Bioengineering IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich GermanyMultiscale Bioengineering Faculty of Technology Bielefeld University Bielefeld GermanyMicroscale Bioengineering IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich GermanyMultiscale Bioengineering Faculty of Technology Bielefeld University Bielefeld GermanyDepartment of Solar Materials – Microscale Analysis and Engineering Helmholtz‐Centre for Environmental Research – UFZ Leipzig Leizpig GermanyAbstract Microfluidic cultivation and single‐cell analysis are inherent parts of modern microbial biotechnology and microbiology. However, implementing biochemical engineering principles based on the kinetics and stoichiometry of growth in microscopic spaces remained unattained. We here present a novel integrated framework that utilizes distinct microfluidic cultivation technologies and single‐cell analytics to make the fundamental math of process‐oriented biochemical engineering applicable at the single‐cell level. A combination of non‐invasive optical cell mass determination with sub‐pg sensitivity, microfluidic perfusion cultivations for establishing physiological steady‐states, and picoliter batch reactors, enabled the quantification of all physiological parameters relevant to approximate a material balance in microfluidic reaction environments. We determined state variables (biomass concentration based on single‐cell dry weight and mass density), biomass synthesis rates, and substrate affinities of cells grown in microfluidic environments. Based on this data, we mathematically derived the specific kinetics of substrate uptake and growth stoichiometry in glucose‐grown Escherichia coli with single‐cell resolution. This framework may initiate microscale material balancing beyond the averaged values obtained from populations as a basis for integrating heterogeneous kinetic and stoichiometric single‐cell data into generalized bioprocess models and descriptions.https://doi.org/10.1002/elsc.202100157Escherichia coligrowthmicrofluidicssingle‐cell analysisspecific growth rateyield coefficient
spellingShingle Katharina Smaluch
Bastian Wollenhaupt
Heiko Steinhoff
Dietrich Kohlheyer
Alexander Grünberger
Christian Dusny
Assessing the growth kinetics and stoichiometry of Escherichia coli at the single‐cell level
Engineering in Life Sciences
Escherichia coli
growth
microfluidics
single‐cell analysis
specific growth rate
yield coefficient
title Assessing the growth kinetics and stoichiometry of Escherichia coli at the single‐cell level
title_full Assessing the growth kinetics and stoichiometry of Escherichia coli at the single‐cell level
title_fullStr Assessing the growth kinetics and stoichiometry of Escherichia coli at the single‐cell level
title_full_unstemmed Assessing the growth kinetics and stoichiometry of Escherichia coli at the single‐cell level
title_short Assessing the growth kinetics and stoichiometry of Escherichia coli at the single‐cell level
title_sort assessing the growth kinetics and stoichiometry of escherichia coli at the single cell level
topic Escherichia coli
growth
microfluidics
single‐cell analysis
specific growth rate
yield coefficient
url https://doi.org/10.1002/elsc.202100157
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