Literature DB >> 19002862

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

Greg Sitton1, Ann Hansgate, Friedrich Srienc.   

Abstract

Transient gene expression is frequently used in industry to rapidly generate usable quantities of a protein from cultured cells. In gene therapy applications it is used to express a therapeutic protein in vivo. A quantitative assessment of the expression kinetics is important because it enables optimization and control of culture conditions for higher productivity. Previous experimental studies show a characteristic peak in average protein expression per cell after transfection followed by an exponential decrease of the expressed protein. Here, we show that the exponential decrease in single cell expression of enhanced Green Fluorescent Protein (eGfp) occurs in discrete steps. We attribute this to the absence of plasmid replication and to symmetric partitioning of plasmid and eGfp between dividing cells. This is reflected in the total eGfp in the bioreactor, which increased at a constant rate throughout the experiment. Additionally, the data provide a detailed time course of cell physiology during recovery from electroporation. The time course of cell physiology precisely indicates when the culture shifts growth phases. Furthermore, the data indicate two unique stationary phases. One type of stationary phase occurs when proliferation ceases while cells decrease their cell size, maintain granularity, and mean eGfp content decreases. The second type occurs when proliferation ceases while cells increase their cell size, increase granularity, and surprisingly maintain eGfp content. The collected data demonstrate the utility of automated flow cytometry for unique bioreactor monitoring and control capabilities in accordance with the US Food and Drug Administration's Process Analytical Technology initiative.

Year:  2006        PMID: 19002862      PMCID: PMC3449422          DOI: 10.1007/s10616-006-9020-9

Source DB:  PubMed          Journal:  Cytotechnology        ISSN: 0920-9069            Impact factor:   2.058


  12 in total

1.  Use of flow cytometry to rapidly optimize the transfection of animal cells.

Authors:  M B Keith; P J Farrell; K Iatrou; L A Behie
Journal:  Biotechniques       Date:  2000-01       Impact factor: 1.993

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

Authors:  R Zhao; A Natarajan; F Srienc
Journal:  Biotechnol Bioeng       Date:  1999-03-05       Impact factor: 4.530

3.  Effect of electric field induced transmembrane potential on spheroidal cells: theory and experiment.

Authors:  Blaz Valic; Muriel Golzio; Mojca Pavlin; Anne Schatz; Cecile Faurie; Bruno Gabriel; Justin Teissié; Marie-Pierre Rols; Damijan Miklavcic
Journal:  Eur Biophys J       Date:  2003-04-24       Impact factor: 1.733

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

Authors:  James Kacmar; Abdelqader Zamamiri; Ross Carlson; Nicholas R Abu-Absi; Friedrich Srienc
Journal:  J Biotechnol       Date:  2004-04-29       Impact factor: 3.307

5.  Setting optimal parameters for in vitro electrotransfection of B16F1, SA1, LPB, SCK, L929 and CHO cells using predefined exponentially decaying electric pulses.

Authors:  Urska Cegovnik; Srdjan Novaković
Journal:  Bioelectrochemistry       Date:  2004-04       Impact factor: 5.373

6.  Dynamics of single cell property distributions in Chinese hamster ovary cell cultures monitored and controlled with automated flow cytometry.

Authors:  James Kacmar; Friedrich Srienc
Journal:  J Biotechnol       Date:  2005-09-06       Impact factor: 3.307

7.  Cell synchronization effect on mammalian cell permeabilization and gene delivery by electric field.

Authors:  Muriel Golzio; Justin Teissié; Marie-Pierre Rols
Journal:  Biochim Biophys Acta       Date:  2002-06-13

8.  Cell death.

Authors:  L M Schwartz; B A Osborne
Journal:  Methods Cell Biol       Date:  1995       Impact factor: 1.441

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

Authors:  Nicholas R Abu-Absi; Abdelqader Zamamiri; James Kacmar; Steven J Balogh; Friedrich Srienc
Journal:  Cytometry A       Date:  2003-02       Impact factor: 4.355

10.  Differences in the way a mammalian cell and yeast cells coordinate cell growth and cell-cycle progression.

Authors:  Ian Conlon; Martin Raff
Journal:  J Biol       Date:  2003-04-24
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  4 in total

1.  Online flow cytometry for monitoring apoptosis in mammalian cell cultures as an application for process analytical technology.

Authors:  Darrin Kuystermans; Mohd Avesh; Mohamed Al-Rubeai
Journal:  Cytotechnology       Date:  2014-10-29       Impact factor: 2.058

2.  Liquid-liquid phase separation of light-inducible transcription factors increases transcription activation in mammalian cells and mice.

Authors:  Nils Schneider; Franz-Georg Wieland; Deqiang Kong; Alexandra A M Fischer; Maximilian Hörner; Jens Timmer; Haifeng Ye; Wilfried Weber
Journal:  Sci Adv       Date:  2021-01-01       Impact factor: 14.136

3.  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

4.  A comparative study of non-viral gene delivery techniques to human adipose-derived mesenchymal stem cell.

Authors:  Nur Shuhaidatul Sarmiza Abdul Halim; Kamal Shaik Fakiruddin; Syed Atif Ali; Badrul Hisham Yahaya
Journal:  Int J Mol Sci       Date:  2014-08-26       Impact factor: 5.923

  4 in total

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