Literature DB >> 15486933

Quantitative screening of embryonic stem cell differentiation: endoderm formation as a model.

Karen H Chang1, Peter W Zandstra.   

Abstract

Embryonic stem (ES) cells have attracted much attention as a possible source of functional cells for regenerative medicine. Therapeutic use of ES cells requires control over the types and frequencies of cells generated during their in vitro differentiation. Due to the complexity of factors that impact upon ES cell differentiation, novel approaches for the optimization of tissue-specific development are required. This motivates our use of factorial and composite design methods to make empirical investigations more efficient, and to reveal unexpected interactions missed by conventional dose-response analysis. Factorial experiments would benefit from the high content evaluation of a large number of test conditions, necessitating the development of a quantitative screening technology (QST) capable of reporting the absolute number and frequency of target cells. We have developed and validated such a technology for ES cell differentiation analysis using automated fluorescence microscopy, employing endoderm differentiation as a model system. To test this platform, a two-level factorial experiment was carried out to identify major and interactive effects of glucose, insulin, retinoic acid (RA), basic fibroblast growth factor (bFGF), and epidermal growth factor (EGF) on endoderm formation. RA was found to have inhibitory effects on endoderm formation, while low glucose proved beneficial. QST was demonstrated to be a powerful tool to study factors impacting endoderm-specific ES cell differentiation, and should be applicable to the analysis of a range of ES cell-derived tissues. Copyright 2004 Wiley Periodicals, Inc.

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Year:  2004        PMID: 15486933     DOI: 10.1002/bit.20242

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  8 in total

1.  Optimization of a serum-free culture medium for mouse embryonic stem cells using design of experiments (DoE) methodology.

Authors:  Fanny Knöspel; Rudolf K Schindler; Marc Lübberstedt; Stephanie Petzolt; Jörg C Gerlach; Katrin Zeilinger
Journal:  Cytotechnology       Date:  2010-09-22       Impact factor: 2.058

2.  Evaluation and optimization of hepatocyte culture media factors by design of experiments (DoE) methodology.

Authors:  Jia Dong; Carl-Fredrik Mandenius; Marc Lübberstedt; Thomas Urbaniak; Andreas K N Nüssler; Daniel Knobeloch; Jörg C Gerlach; Katrin Zeilinger
Journal:  Cytotechnology       Date:  2008-10-07       Impact factor: 2.058

3.  The use of an artificial neural network to model the infection strategy for baculovirus production in suspended insect cell cultures.

Authors:  Antonio Contreras-Gómez; Alba Beas-Catena; Asterio Sánchez-Mirón; Francisco García-Camacho; Emilio Molina Grima
Journal:  Cytotechnology       Date:  2017-08-04       Impact factor: 2.058

4.  Pluripotent stem cell assays: Modalities and applications for predictive developmental toxicity.

Authors:  Aldert H Piersma; Nancy C Baker; George P Daston; Burkhard Flick; Michio Fujiwara; Thomas B Knudsen; Horst Spielmann; Noriyuki Suzuki; Katya Tsaioun; Hajime Kojima
Journal:  Curr Res Toxicol       Date:  2022-05-13

5.  Media composition modulates human embryonic stem cell morphology and may influence preferential lineage differentiation potential.

Authors:  Linda Harkness; Xiaoli Chen; Marianne Gillard; Peter Paul Gray; Anthony Mitchell Davies
Journal:  PLoS One       Date:  2019-03-19       Impact factor: 3.240

6.  Modeling signaling-dependent pluripotency with Boolean logic to predict cell fate transitions.

Authors:  Ayako Yachie-Kinoshita; Kento Onishi; Joel Ostblom; Matthew A Langley; Eszter Posfai; Janet Rossant; Peter W Zandstra
Journal:  Mol Syst Biol       Date:  2018-01-29       Impact factor: 11.429

Review 7.  Climbing the mountain: experimental design for the efficient optimization of stem cell bioprocessing.

Authors:  Derek Toms; Rob Deardon; Mark Ungrin
Journal:  J Biol Eng       Date:  2017-12-04       Impact factor: 4.355

Review 8.  Clever Experimental Designs: Shortcuts for Better iPSC Differentiation.

Authors:  Ryota Yasui; Keisuke Sekine; Hideki Taniguchi
Journal:  Cells       Date:  2021-12-15       Impact factor: 6.600

  8 in total

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