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Manufacture of a human mesenchymal stem cell population using an automated cell culture platform
journal contribution
posted on 2009-02-17, 15:56 authored by Rob ThomasRob Thomas, Amit Chandra, Yang LiuYang Liu, Paul Hourd, Paul ConwayPaul Conway, David WilliamsTissue engineering and regenerative medicine are rapidly developing fields that use cells or cell
based constructs as therapeutic products for a wide range of clinical applications. Efforts to commercialise
these therapies are driving a need for capable, scaleable, manufacturing technologies to ensure therapies
are able to meet regulatory requirements and are economically viable at industrial scale production. We
report the first automated expansion of a human bone marrow derived mesenchymal stem cell population
(hMSCs) using a fully automated cell culture platform. Differences in cell population growth profile, attributed
to key methodological differences, were observed between the automated protocol and a benchmark
manual protocol. However, qualitatively similar cell output, assessed by cell morphology and the expression
of typical hMSC markers, was obtained from both systems. Furthermore, the critical importance of minor
process variation, e.g. the effect of cell seeding density on characteristics such as population growth kinetics
and cell phenotype, was observed irrespective of protocol type. This work highlights the importance of
careful process design in therapeutic cell manufacture and demonstrates the potential of automated culture
for future optimisation and scale up studies required for the translation of regenerative medicine products
from the laboratory to the clinic.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
THOMAS, R.J. ... et al, 2007. Manufacture of a human mesenchymal stem cell population using an automated cell culture platform. Cytotechnology, 55 (1), pp. 31-39Publisher
© SpringerVersion
- AM (Accepted Manuscript)
Publication date
2007Notes
This article was published in the journal, Cytotechnology [© Springer] and the original publication is available at www.springerlink.comISSN
0920-9069;1573-0778Language
- en