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  4. Cell mass and cell cycle dynamics of an asynchronous budding yeast population: Experimental observations, flow cytometry data analysis, and multi-scale modeling
 
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Cell mass and cell cycle dynamics of an asynchronous budding yeast population: Experimental observations, flow cytometry data analysis, and multi-scale modeling

Publikationstyp
Journal Article
Date Issued
2013-03
Sprache
English
Author(s)
Fernandes, Rita Lencastre
Carlquist, Magnus
Lundin, Luisa  
Heins, Anna-Lena  
Dutta, Abhishek  
Sørensen, Søren  
Jensen, Anker Degn  
Nopens, Ingmar
Lantz, Anna Eliasson
Gernaey, Krist  
TORE-URI
https://hdl.handle.net/11420/42626
Journal
Biotechnology and bioengineering  
Volume
110
Issue
3
Start Page
812
End Page
826
Citation
Biotechnology and Bioengineering 110 (3) : 812-826 (2013-03)
Publisher DOI
10.1002/bit.24749
Scopus ID
2-s2.0-84872673703
PubMed ID
23055296
Publisher
Wiley
Despite traditionally regarded as identical, cells in a microbial cultivation present a distribution of phenotypic traits, forming a heterogeneous cell population. Moreover, the degree of heterogeneity is notably enhanced by changes in micro-environmental conditions. A major development in experimental single-cell studies has taken place in the last decades. It has however not been fully accompanied by similar contributions within data analysis and mathematical modeling. Indeed, literature reporting, for example, quantitative analyses of experimental single-cell observations and validation of model predictions for cell property distributions against experimental data is scarce. This study focuses on the experimental and mathematical description of the dynamics of cell size and cell cycle position distributions, of a population of Saccharomyces cerevisiae, in response to the substrate consumption observed during batch cultivation. The good agreement between the proposed multi-scale model (a population balance model [PBM] coupled to an unstructured model) and experimental data (both the overall physiology and cell size and cell cycle distributions) indicates that a mechanistic model is a suitable tool for describing the microbial population dynamics in a bioreactor. This study therefore contributes towards the understanding of the development of heterogeneous populations during microbial cultivations. More generally, it consists of a step towards a paradigm change in the study and description of cell cultivations, where average cell behaviors observed experimentally now are interpreted as a potential joint result of various co-existing single-cell behaviors, rather than a unique response common to all cells in the cultivation.
Subjects
Cell cycle
Flow cytometry
Multiscale modeling
Population balance model (PBM)
Saccharomyces cerevisiae
Standardized data analysis
Total protein content
DDC Class
570: Life Sciences, Biology
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