Literature DB >> 12541283

Automated flow cytometry for acquisition of time-dependent population data.

Nicholas R Abu-Absi1, Abdelqader Zamamiri, James Kacmar, Steven J Balogh, Friedrich Srienc.   

Abstract

BACKGROUND: The implementation of flow cytometry in many experimental settings can be limited by the extensive amount of sample handling and preparation required for analysis. We describe a system that automatically performs sample handling and flow cytometric analysis, thus allowing one to construct detailed pictures of changes in cell population distributions as a function of time.
METHODS: Cell samples from bioreactors were loaded into a microchamber designed to perform all sample preparation steps including washing, fixation, staining, and dilution. The sample was then transported into a sample loop of known volume from which it was injected into the flow cell for determination of cell counts and measurement of scattering and fluorescence parameters. The apparatus was fully automated and controlled with a personal computer equipped with a data acquisition card. An inexpensive mechanism that continuously replenished the sheath fluid was implemented to ensure continuous and uninterrupted operation of the flow cytometer for several days. The device was interfaced with a FACSCalibur equipped with CellQuest software for data acquisition and analysis.
RESULTS: The set-up was tested with batch cultures of Saccharomyces cerevisiae expressing the green fluorescent protein (GFP). On-line cell counts showed close agreement with off-line measurements throughout the exponential growth of a yeast culture. The time course of light scattering, GFP fluorescence, and viability distributions provided a detailed description of changes occurring in growing cell cultures based on sampling approximately every 15 min for more than 40 consecutive hours. Therefore, the device could be used to obtain descriptions of the dynamic behavior of cell populations with no user intervention required for several days.
CONCLUSIONS: The system significantly expanded the utility of flow cytometry by eliminating cumbersome and time-consuming steps that make the application of flow cytometry impractical in certain situations. It is anticipated that the described set-up will find utility in biotechnology applications such as monitoring of cell cultures, screening of biologically active compounds, and in functional genomics efforts for phenotypic characterizations of cells. Copyright 2003 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12541283     DOI: 10.1002/cyto.a.10016

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  13 in total

1.  Computational analysis of CFSE proliferation assay.

Authors:  Tatyana Luzyanina; Sonja Mrusek; John T Edwards; Dirk Roose; Stephan Ehl; Gennady Bocharov
Journal:  J Math Biol       Date:  2006-11-09       Impact factor: 2.259

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.  Real-time monitoring of cell viability and cell density on the basis of a three dimensional optical reflectance method (3D-ORM): investigation of the effect of sub-lethal and lethal injuries.

Authors:  Alison Brognaux; Jörg Bugge; Friedel H Schwartz; Philippe Thonart; Samuel Telek; Frank Delvigne
Journal:  J Ind Microbiol Biotechnol       Date:  2013-04-21       Impact factor: 3.346

4.  Numerical rate function determination in partial differential equations modeling cell population dynamics.

Authors:  Andreas Groh; Holger Kohr; Alfred K Louis
Journal:  J Math Biol       Date:  2016-06-13       Impact factor: 2.259

5.  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

6.  Single bacteria movement tracking by online microscopy--a proof of concept study.

Authors:  Andreas Ziegler; Daniel Schock-Kusch; Dominik Bopp; Sandra Dounia; Matthias Rädle; Ulf Stahl
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

7.  Numerical modelling of label-structured cell population growth using CFSE distribution data.

Authors:  Tatyana Luzyanina; Dirk Roose; Tim Schenkel; Martina Sester; Stephan Ehl; Andreas Meyerhans; Gennady Bocharov
Journal:  Theor Biol Med Model       Date:  2007-07-24       Impact factor: 2.432

8.  Dynamics and design principles of a basic regulatory architecture controlling metabolic pathways.

Authors:  Chen-Shan Chin; Victor Chubukov; Emmitt R Jolly; Joe DeRisi; Hao Li
Journal:  PLoS Biol       Date:  2008-06-17       Impact factor: 8.029

Review 9.  Fluorescent Reporter Libraries as Useful Tools for Optimizing Microbial Cell Factories: A Review of the Current Methods and Applications.

Authors:  Frank Delvigne; Hélène Pêcheux; Cédric Tarayre
Journal:  Front Bioeng Biotechnol       Date:  2015-09-28

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.