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Rational bioprocess design for human pluripotent stem cell expansion and endoderm differentiation based on cellular dynamics.


ABSTRACT: We present a predictive bioprocess design strategy employing cell- and molecular-level analysis of rate-limiting steps in human pluripotent stem cell (hPSC) expansion and differentiation, and apply it to produce definitive endoderm (DE) progenitors using a scalable directed-differentiation technology. We define a bioprocess optimization parameter (L; targeted cell Loss) and, with quantitative cell division tracking and fate monitoring, identify and overcome key suspension bioprocess bottlenecks. Adapting process operating conditions to pivotal parameters (single cell survival and growth rate) in a cell-line-specific manner enabled adherent-equivalent expansion of hPSCs in feeder- and matrix-free defined-medium suspension culture. Predominantly instructive differentiation mechanisms were found to underlie a subsequent 18-fold expansion, during directed differentiation, to high-purity DE competent for further commitment along pancreatic and hepatic lineages. This study demonstrates that iPSC expansion and differentiation conditions can be prospectively specified to guide the enhanced production of target cells in a scale-free directed differentiation system.

SUBMITTER: Ungrin MD 

PROVIDER: S-EPMC3321926 | biostudies-literature | 2012 Apr

REPOSITORIES: biostudies-literature

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Rational bioprocess design for human pluripotent stem cell expansion and endoderm differentiation based on cellular dynamics.

Ungrin Mark D MD   Clarke Geoff G   Yin Ting T   Niebrugge Sylvia S   Nostro M Cristina MC   Sarangi Farida F   Wood Geoffrey G   Keller Gordon G   Zandstra Peter W PW  

Biotechnology and bioengineering 20111202 4


We present a predictive bioprocess design strategy employing cell- and molecular-level analysis of rate-limiting steps in human pluripotent stem cell (hPSC) expansion and differentiation, and apply it to produce definitive endoderm (DE) progenitors using a scalable directed-differentiation technology. We define a bioprocess optimization parameter (L; targeted cell Loss) and, with quantitative cell division tracking and fate monitoring, identify and overcome key suspension bioprocess bottlenecks.  ...[more]

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