Literature DB >> 10099570

A flow injection flow cytometry system for on-line monitoring of bioreactors.

R Zhao1, A Natarajan, F Srienc.   

Abstract

For direct and on-line study of the physiological states of cell cultures, a robust flow injection system has been designed and interfaced with flow cytometry (FI-FCM). The core of the flow injection system includes a microchamber designed for sample processing. The design of this microchamber allows not only an accurate on-line dilution but also on-line cell fixation, staining, and washing. The flow injection part of the system was tested by monitoring the optical density of a growing E.coli culture on-line using a spectrophotometer. The entire growth curve, from lag phase to stationary phase, was obtained with frequent sampling. The performance of the entire FI-FCM system is demonstrated in three applications. The first is the monitoring of green fluorescent protein fluorophore formation kinetics in E.coli by visualizing the fluorescence evolution after protein synthesis is inhibited. The data revealed a subpopulation of cells that do not become fluorescent. In addition, the data show that single-cell fluorescence is distributed over a wide range and that the fluorescent population contains cells that are capable of reaching significantly higher expression levels than that indicated by the population average. The second application is the detailed flow cytometric evaluation of the batch growth dynamics of E.coli expressing Gfp. The collected single-cell data visualize the batch growth phases and it is shown that a state of balanced growth is never reached by the culture. The third application is the determination of distribution of DNA content of a S. cerevisiae population by automatically staining cells using a DNA-specific stain. Reproducibility of the on-line staining reaction shows that the system is not restricted to measuring the native properties of cells; rather, a wider range of cellular components could be monitored after appropriate sample processing. The system is thus particularly useful because it operates automatically without direct operator supervision for extended time periods. Copyright 1999 John Wiley & Sons, Inc.

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Year:  1999        PMID: 10099570     DOI: 10.1002/(sici)1097-0290(19990305)62:5<609::aid-bit13>3.0.co;2-c

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  10 in total

1.  Monitoring pH and dissolved oxygen in mammalian cell culture using optical sensors.

Authors:  Mariam Naciri; Darrin Kuystermans; Mohamed Al-Rubeai
Journal:  Cytotechnology       Date:  2008-09-19       Impact factor: 2.058

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

Authors:  Greg Sitton; Ann Hansgate; Friedrich Srienc
Journal:  Cytotechnology       Date:  2006-11-22       Impact factor: 2.058

3.  Non-Invasive Optical Sensor Based Approaches for Monitoring Virus Culture to Minimize BSL3 Laboratory Entry.

Authors:  Viswanath Ragupathy; Mohan Kumar Hayuri Giri Setty; Yordan Kostov; Xudong Ge; Shaunak Uplekar; Indira Hewlett; Govind Rao
Journal:  Sensors (Basel)       Date:  2015-06-24       Impact factor: 3.576

4.  Flow cytometry analysis of changes in the DNA content of the polychlorinated biphenyl degrader Comamonas testosteroni TK102: effect of metabolites on cell-cell separation.

Authors:  Yoshinori Hiraoka; Tohru Yamada; Keiko Tone; Yutaka Futaesaku; Kazuhide Kimbara
Journal:  Appl Environ Microbiol       Date:  2002-10       Impact factor: 4.792

5.  Rapid titration of adenoviral infectivity by flow cytometry in batch culture of infected HEK293 cells.

Authors:  Vincent Gueret; Juan A Negrete-Virgen; Andrew Lyddiatt; Mohamed Al-Rubeai
Journal:  Cytotechnology       Date:  2002-01       Impact factor: 2.058

6.  A low-cost, multiplexable, automated flow cytometry procedure for the characterization of microbial stress dynamics in bioreactors.

Authors:  Alison Brognaux; Shanshan Han; Søren J Sørensen; Frédéric Lebeau; Philippe Thonart; Frank Delvigne
Journal:  Microb Cell Fact       Date:  2013-10-31       Impact factor: 5.328

7.  At-line determining spore germination of Penicillium chrysogenum bioprocesses in complex media.

Authors:  Daniela Ehgartner; Jens Fricke; Andreas Schröder; Christoph Herwig
Journal:  Appl Microbiol Biotechnol       Date:  2016-08-24       Impact factor: 4.813

Review 8.  Advances in automated real-time flow cytometry for monitoring of bioreactor processes.

Authors:  Anna-Lena Heins; Manh Dat Hoang; Dirk Weuster-Botz
Journal:  Eng Life Sci       Date:  2021-11-12       Impact factor: 2.678

9.  The feasibility of automated online flow cytometry for in-situ monitoring of microbial dynamics in aquatic ecosystems.

Authors:  Michael D Besmer; David G Weissbrodt; Bradley E Kratochvil; Jürg A Sigrist; Mathias S Weyland; Frederik Hammes
Journal:  Front Microbiol       Date:  2014-06-02       Impact factor: 5.640

10.  Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth.

Authors:  Andreas Milias-Argeitis; Marc Rullan; Stephanie K Aoki; Peter Buchmann; Mustafa Khammash
Journal:  Nat Commun       Date:  2016-08-26       Impact factor: 14.919

  10 in total

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