Single-cell variability in growing Saccharomyces cerevisiae cell populations measured with automated flow cytometry.

Cell cultures normally are heterogeneous due to factors such as the cell cycle, inhomogeneous cell microenvironments, and genetic differences. However, distributions of cell properties usually are not taken into account in the characterization of a culture when only population averaged values are measured. In this study, the cell size, green fluorescence protein (Gfp) content, and viability after automated staining with propidium iodide (PI) are monitored at the single-cell level in Saccharomyces cerevisiae cultures growing in a batch bioreactor using an automated flow injection flow cytometer system. To demonstrate the wealth of information that can be obtained with this system, three cultures containing three different plasmids are compared. The first plasmid is a centromeric plasmid expressing under the control of a TEF2 promoter the S65T mutant form of Gfp. The other two plasmids are 2 microm plasmids and express the FM2 mutant of Gfp under the control of either the TEF1 or the TEF2 promoter. The automated sampling, cell preparation, and analysis permitted frequent quantification of the culture characteristics. The time course of the data representing not only population average values but also their variability, provides a detailed and reproducible "fingerprint" of the culture dynamics. The data demonstrate that small changes in the genetic make up of the recombinant system can result in large changes in the culture Gfp production and viability. Thus, the developed instrumentation is valuable for rapidly testing promoter strength, plasmid stability, cell viability, and culture variability.

[1]  Bernhard Sonnleitner,et al.  High-performance bioreactors: a new generation , 1988 .

[2]  F. Srienc,et al.  Effect of lactic acid on the kinetics of growth and antibody production in a murine hybridoma: secretion patterns during the cell cycle. , 1994, Journal of biotechnology.

[3]  T. Scheper,et al.  In situ microscopy for on-line determination of biomass. , 1998, Biotechnology and bioengineering.

[4]  L. Hartwell,et al.  Asymmetrical division of Saccharomyces cerevisiae , 1980, Journal of bacteriology.

[5]  F. Srienc,et al.  Dynamics of glucose uptake by single Escherichia coli cells. , 1999, Metabolic engineering.

[6]  H. M. Tsuchiya,et al.  Dynamics of Microbial Cell Populations , 1966 .

[7]  Friedrich Srienc,et al.  Cell‐cycle‐dependent protein accumulation by producer and nonproducer murine hybridoma cell lines: A population analysis , 1991, Biotechnology and bioengineering.

[8]  S. Yang,et al.  A novel feeding strategy for enhanced plasmid stability and protein production in recombinant yeast fedbatch fermentation. , 1997, Biotechnology and bioengineering.

[9]  E. Skibsted,et al.  On-line bioprocess monitoring with a multi-wavelength fluorescence sensor using multivariate calibration. , 2001, Journal of biotechnology.

[10]  Thomas Scheper,et al.  Two‐Dimensional Fluorescence Spectroscopy: A New Tool for On‐Line Bioprocess Monitoring , 1998, Biotechnology progress.

[11]  K. Schügerl,et al.  Progress in monitoring, modeling and control of bioprocesses during the last 20 years. , 2001, Journal of biotechnology.

[12]  W. Bentley,et al.  Green fluorescent protein in Saccharomyces cerevisiae: real-time studies of the GAL1 promoter. , 2000, Biotechnology and bioengineering.

[13]  K. Friehs,et al.  The green fluorescent protein is a versatile reporter for bioprocess monitoring. , 1997, Journal of biotechnology.

[14]  R. Sikorski,et al.  A system of shuttle vectors and yeast host strains designed for efficient manipulation of DNA in Saccharomyces cerevisiae. , 1989, Genetics.

[15]  C. Hewitt,et al.  Measurement of strain-dependent toxicity in the indene bioconversion using multiparameter flow cytometry. , 2003, Biotechnology and bioengineering.

[16]  Roger Y. Tsien,et al.  Improved green fluorescence , 1995, Nature.

[17]  T Yamane Application of an On‐Line Turbidimeter for the Automation of Fed‐Batch Cultures , 1993, Biotechnology progress.

[18]  A E Humphrey,et al.  Monitoring Cell Concentration and Activity by Multiple Excitation Fluorometry , 1991, Biotechnology progress.

[19]  F. Srienc,et al.  Comparison of mutant forms of the green fluorescent protein as expression markers in Chinese hamster ovary (CHO) and Saccharomyces cerevisiae cells. , 1998, Journal of biotechnology.

[20]  B Sonnleitner,et al.  The decisive role of the Saccharomyces cerevisiae cell cycle behaviour for dynamic growth characterization. , 1992, Journal of biotechnology.

[21]  C. Hewitt,et al.  An industrial application of multiparameter flow cytometry: assessment of cell physiological state and its application to the study of microbial fermentations. , 2001, Cytometry.

[22]  J. Nielsen,et al.  On-line and in situ monitoring of biomass in submerged cultivations , 1997 .

[23]  E. H. Dunlop,et al.  Micromixing in fermentors: Metabolic changes in Saccharomyces cerevisiae and their relationship to fluid turbulence , 1990, Biotechnology and bioengineering.

[24]  George T. Tsao,et al.  On-line monitoring with feedback control of bioreactors using a high ethanol tolerance yeast by membrane introduction mass spectrometry , 1995 .

[25]  J J Horvath,et al.  In Situ Fluorescence Cell Mass Measurements of Saccharomyces cerevisiae Using Cellular Tryptophan , 1993, Biotechnology progress.

[26]  L. Hartwell,et al.  Unequal division in Saccharomyces cerevisiae and its implications for the control of cell division , 1977, The Journal of cell biology.

[27]  B. Palsson,et al.  Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth , 2002, Nature.

[28]  R. Buchholz,et al.  Morphological analysis of yeast cells using an automated image processing system. , 1996, Journal of biotechnology.

[29]  C. Albano,et al.  Green Fluorescent Protein as a Real Time Quantitative Reporter of Heterologous Protein Production , 1998, Biotechnology progress.

[30]  Prodromos Daoutidis,et al.  Nonlinear productivity control using a multi-staged cell population balance model , 2002 .

[31]  Friedrich Srienc,et al.  Automated flow cytometry for acquisition of time‐dependent population data , 2003, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[32]  L. Alberghina,et al.  Real-time flow cytometric quantification of GFP expression and Gfp-fluorescence generation in Saccharomyces cerevisiae. , 2000, Journal of microbiological methods.

[33]  F. Srienc,et al.  Cell cycle-dependent protein secretion by Saccharomyces cerevisiae. , 2001, Biotechnology and bioengineering.

[34]  Friedrich Srienc,et al.  Cytometric data as the basis for rigorous models of cell population dynamics , 1999 .

[35]  H. Degn,et al.  An on‐line sampling system for fermentation monitoring Using membrane inlet mass spectrometry (MIMS): Application to phenoxyacetic acid monitoring in penicillin fermentation , 1994, Biotechnology and bioengineering.

[36]  J. Bourne,et al.  Experimental Methods for On–Line Mass Spectrometry in Fermentation Technology* , 1983, Bio/Technology.

[37]  Doraiswami Ramkrishna,et al.  Statistics and dynamics of procaryotic cell populations , 1967 .

[38]  C. Hewitt,et al.  Application of multi-parameter flow cytometry using fluorescent probes to study substrate toxicity in the indene bioconversion. , 2002, Biotechnology and bioengineering.

[39]  R Voyer,et al.  On-line monitoring of the progress of infection in Sf-9 insect cell cultures using relative permittivity measurements. , 1999, Biotechnology and bioengineering.

[40]  F. Srienc,et al.  A flow injection flow cytometry system for on-line monitoring of bioreactors. , 1999, Biotechnology and bioengineering.