Literature DB >> 15066762

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

James Kacmar1, Abdelqader Zamamiri, Ross Carlson, Nicholas R Abu-Absi, Friedrich Srienc.   

Abstract

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.

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Year:  2004        PMID: 15066762     DOI: 10.1016/j.jbiotec.2004.01.003

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  11 in total

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3.  Transient gene expression in CHO cells monitored with automated flow cytometry.

Authors:  Greg Sitton; Ann Hansgate; Friedrich Srienc
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4.  Isolated microbial single cells and resulting micropopulations grow faster in controlled environments.

Authors:  Christian Dusny; Frederik Sven Ole Fritzsch; Oliver Frick; Andreas Schmid
Journal:  Appl Environ Microbiol       Date:  2012-07-20       Impact factor: 4.792

5.  Single-cell analysis of S. cerevisiae growth recovery after a sublethal heat-stress applied during an alcoholic fermentation.

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Journal:  J Ind Microbiol Biotechnol       Date:  2010-08-24       Impact factor: 3.346

6.  Application of flow cytometry to segregated kinetic modeling based on the physiological states of microorganisms.

Authors:  Covadonga Quirós; Mónica Herrero; Luis A García; Mario Díaz
Journal:  Appl Environ Microbiol       Date:  2007-05-04       Impact factor: 4.792

7.  Real-time monitoring of the sugar sensing in Saccharomyces cerevisiae indicates endogenous mechanisms for xylose signaling.

Authors:  Daniel P Brink; Celina Borgström; Felipe G Tueros; Marie F Gorwa-Grauslund
Journal:  Microb Cell Fact       Date:  2016-10-24       Impact factor: 5.328

8.  Quantitative Flow Cytometry to Understand Population Heterogeneity in Response to Changes in Substrate Availability in Escherichia coli and Saccharomyces cerevisiae Chemostats.

Authors:  Anna-Lena Heins; Ted Johanson; Shanshan Han; Luisa Lundin; Magnus Carlquist; Krist V Gernaey; Søren J Sørensen; Anna Eliasson Lantz
Journal:  Front Bioeng Biotechnol       Date:  2019-08-05

9.  Physiological heterogeneities in microbial populations and implications for physical stress tolerance.

Authors:  Magnus Carlquist; Rita Lencastre Fernandes; Søren Helmark; Anna-Lena Heins; Luisa Lundin; Søren J Sørensen; Krist V Gernaey; Anna Eliasson Lantz
Journal:  Microb Cell Fact       Date:  2012-07-16       Impact factor: 5.328

10.  Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.

Authors:  Oleg Lenive; Paul D W Kirk; Michael P H Stumpf
Journal:  BMC Syst Biol       Date:  2016-08-22
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