Real-time monitoring of adherent Vero cell density and apoptosis in bioreactor processes
Identifieur interne : 000815 ( Main/Exploration ); précédent : 000814; suivant : 000816Real-time monitoring of adherent Vero cell density and apoptosis in bioreactor processes
Auteurs : Emma Petiot [France] ; Amal El-Wajgali [France] ; Geoffrey Esteban [France] ; Cecile Geny [France] ; Hervé Pinton [France] ; Annie Marc [France]Source :
- Cytotechnology [ 0920-9069 ] ; 2012.
English descriptors
- mix :
Abstract
This study proposes an easy to use in situ device, based on multi-frequency permittivity measurements, to monitor the growth and death of attached Vero cells cultivated on microporous microcarriers, without any cell sampling. Vero cell densities were on-line quantified up to 10(6) cell mL(-1). Some parameters which could potentially impact Vero cell morphological and physiological states were assessed through different culture operating conditions, such as media formulation or medium feed-harvest during cell growth phase. A new method of in situ cell death detection with dielectric spectroscopy was also successfully implemented. Thus, through permittivity frequency scanning, major rises of the apoptotic cell population in bioreactor cultures were detected by monitoring the characteristic frequency of the cell population, f(c), which is one of the culture dielectric parameters. Both cell density quantification and cell apoptosis detection are strategic information in cell-based production processes as they are involved in major events of the process, such as scale-up or choice of the viral infection conditions. This new application of dielectric spectroscopy to adherent cell culture processes makes it a very promising tool for risk-mitigation strategy in industrial processes. Therefore, our results contribute to the development of Process Analytical Technology in cell-based industrial processes.
Url:
DOI: 10.1007/s10616-011-9421-2
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000973
- to stream Hal, to step Curation: 000973
- to stream Hal, to step Checkpoint: 000783
- to stream Main, to step Merge: 000878
- to stream Main, to step Curation: 000815
Le document en format XML
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Adherent Vero cells</term>
<term>Apoptosis</term>
<term>BIOLOGICAL CELLS</term>
<term>CULTURE PROCESSES</term>
<term>Cell density</term>
<term>DIELECTRIC-SPECTROSCOPY</term>
<term>HL-60 CELLS</term>
<term>INTRACELLULAR CONDUCTIVITY</term>
<term>In situ monitoring</term>
<term>MEMBRANE CAPACITANCE</term>
<term>Multi-frequency permittivity</term>
<term>ONLINE DETERMINATION</term>
<term>PERMITTIVITY MEASUREMENTS</term>
<term>SERUM-FREE MEDIUM</term>
<term>VIRUS</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">This study proposes an easy to use in situ device, based on multi-frequency permittivity measurements, to monitor the growth and death of attached Vero cells cultivated on microporous microcarriers, without any cell sampling. Vero cell densities were on-line quantified up to 10(6) cell mL(-1). Some parameters which could potentially impact Vero cell morphological and physiological states were assessed through different culture operating conditions, such as media formulation or medium feed-harvest during cell growth phase. A new method of in situ cell death detection with dielectric spectroscopy was also successfully implemented. Thus, through permittivity frequency scanning, major rises of the apoptotic cell population in bioreactor cultures were detected by monitoring the characteristic frequency of the cell population, f(c), which is one of the culture dielectric parameters. Both cell density quantification and cell apoptosis detection are strategic information in cell-based production processes as they are involved in major events of the process, such as scale-up or choice of the viral infection conditions. This new application of dielectric spectroscopy to adherent cell culture processes makes it a very promising tool for risk-mitigation strategy in industrial processes. Therefore, our results contribute to the development of Process Analytical Technology in cell-based industrial processes.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement><li>Metz</li>
<li>Nancy</li>
</settlement>
<orgName><li>Université de Lorraine</li>
</orgName>
</list>
<tree><country name="France"><region name="Grand Est"><name sortKey="Petiot, Emma" sort="Petiot, Emma" uniqKey="Petiot E" first="Emma" last="Petiot">Emma Petiot</name>
</region>
<name sortKey="El Wajgali, Amal" sort="El Wajgali, Amal" uniqKey="El Wajgali A" first="Amal" last="El-Wajgali">Amal El-Wajgali</name>
<name sortKey="Esteban, Geoffrey" sort="Esteban, Geoffrey" uniqKey="Esteban G" first="Geoffrey" last="Esteban">Geoffrey Esteban</name>
<name sortKey="Geny, Cecile" sort="Geny, Cecile" uniqKey="Geny C" first="Cecile" last="Geny">Cecile Geny</name>
<name sortKey="Marc, Annie" sort="Marc, Annie" uniqKey="Marc A" first="Annie" last="Marc">Annie Marc</name>
<name sortKey="Pinton, Herve" sort="Pinton, Herve" uniqKey="Pinton H" first="Hervé" last="Pinton">Hervé Pinton</name>
</country>
</tree>
</affiliations>
</record>
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