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Systematic experimental design for bioprocess characterization: Elucidating transient effects of multi-cytokine contributions on erythroid differentiation

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Abstract

In vitro differentiation of hematopoietic stem cells (HSCs) is a highly dynamic process whereby contributions of exogenous cytokines vary at each stage of differentiation. In this study, we present erythroid differentiation as three progressive yet independent stages and aim to elucidate transient contributions from stem cell factor (SCF), insulin-growth factor II (IGF-II), and erythropoietin (EPO). This will be accomplished using the Taguchi design and response surface methodology (RSM). We found that cultures with high process variability (noise factors), such as those in primary cell cultures, pose limitations on the effectiveness of RSM and result in inconsistencies in empirical models developed for elucidating transient effects. However, the Taguchi design—which showed greater robustness in accommodating for noise factors—successfully identified significant main and interactive contributions at each differentiation stage, thus highlighting the dynamic roles of each cytokine. The Taguchi analysis suggested high IGF-II dependency during early erythroid differentiation, with an antagonistic effect in the presence of EPO. At mid-stage differentiation, the roles of SCF and EPO dominate those of IGF-II, and the former act independently. Finally, toward erythroid maturation, only EPO plays a significant role. Although process outcomes from the Taguchi analysis were semi-quantitative, this approach provides a path for overcoming cell culture and sample-to-sample variability and can therefore be utilized with many cell culture applications in order to understandcomplex and intricate process relationships.

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References

  1. Montgomery, D. (2005) Design and Analysis of Experiments.p. 672. 6th ed., (Hardcover) Wiley.

  2. Lim, M. (2007) Intelligent bioprocessing for haemotopoietic cell cultures using monitoring and design of experiments. Biotechnol. advances. 25: 353–368.

    Article  CAS  Google Scholar 

  3. Yao, C. -L. (2003) Factorial designs combined with the steepest ascent method to optimize serum-free media for ex vivo expansion of human hematopoietic progenitor cells. Enz. Microb. Technol. 33: 343–352.

    Article  CAS  Google Scholar 

  4. Liu, C. -H., M. -L. Wu, and S. -M. Hwang (2007) Optimization of serum free medium for cord blood mesenchymal stem cells. Biochem. Eng. J.. 33: 1–9.

    Article  Google Scholar 

  5. Lim, M. (2011) Optimization of in vitro erythropoiesis from CD34+ cord blood cells using design of experiments (DOE). Biochem. Eng. J. 55: 154–161.

    Article  CAS  Google Scholar 

  6. Yao, C. -L. (2004) A systematic strategy to optimize ex vivo expansion medium for human hematopoietic stem cells derived from umbilical cord blood mononuclear cells. Experimental Hematol.. 32: 720–727.

    Article  CAS  Google Scholar 

  7. Lee, G. M. (1999) Development of a serum-free medium for the production of erythropoietin by suspension culture of recombinant Chinese hamster ovary cells using a statistical design. J. Biotechnol. 69: 85–93.

    Article  CAS  Google Scholar 

  8. Cortin, V. (2005) Efficient in vitro megakaryocyte maturation using cytokine cocktails optimized by statistical experimental design. Experimental hematol. 33: 1182–1191.

    Article  CAS  Google Scholar 

  9. Wang, W. (2008) Synergy between erythropoietin and stem cell factor during erythropoiesis can be quantitatively described without co-signally effects. Biotechnol. Bioeng. 99: 1261–1272.

    Article  CAS  Google Scholar 

  10. Adimy, M. (2008) Numerical integration of a mathematical model of hematopoietic stem cell dynamics. Computers & Mathematics with Applications. 56: 594–606.

    Article  Google Scholar 

  11. Adimy, M., F. Crauste, and S. Ruan (2005) Stability and Hopf bifurcation in a mathematical model of pluripotent stem cell dynamics. Nonlinear Analysis: Real World Applications 6: 651–670.

    Article  Google Scholar 

  12. Huang, S. (2007) Bifurcation dynamics in lineage-commitment in bipotent progenitor cells. Developmental Biol. 305: 695–713.

    Article  CAS  Google Scholar 

  13. Wang, J. (2007) Synergistic effect of cytokines EPO, IL-3 and SCF on the proliferation, differentiation and apoptosis of erythroid progenitor cells. Clin. Hemorheol. Microcircul. 37: 291–299.

    CAS  Google Scholar 

  14. Jung, Y. J. (2007) Erythropoietin-independent and -dependent stages during in vitro erythropoiesis. Acta Haematol. 118: 222–225.

    Article  Google Scholar 

  15. Montgomery, D. C. (2001) Response surface methods and other approaches to process optimization, in Design and analysis of experiments. John Wiley and Sons, Inc.

  16. Myers, R. H. and D. C. Montgomery (2002) Response Surface Methodology: Process and product optimization using designed experiments. pp. 818–824. 2nd ed., John Wiley and Sons, Inc.

  17. Taguchi, G. (1993) Taguchi Methods, Design of Experiments. Quality Engineering Series. Vol. 4. Dearborn, MI: Japanese Standards Association and American Supplier Institute.

    Google Scholar 

  18. Maghsoodloo, S. (2004) Strengths and limitations of taguchi’s contributions to quality, manufacturing, and process engineering. J. Manufacturing Syst. 23: 73–126.

    Article  Google Scholar 

  19. Shimon, I. and O. Shpilberg (1995) The insulin-like growth factor system in regulation of normal and malignant hematopoiesis. Leukemia Res. 19: 233–240.

    Article  CAS  Google Scholar 

  20. Nagatomo, T. (2008) Insulin-like growth factor-II: A novel autocrine growth factor modulating the apoptosis and maturation of umbilical cord blood erythroid progenitors. Experimetnal Hematol. 36: 401–411.

    Article  CAS  Google Scholar 

  21. Maghsoodloo, S. and C. -L. Chang (2001) Quadratic loss functions and signal-to-noise ratios for a bivariate response. J. Manufact. Sys. 20: 1–12.

    Article  Google Scholar 

  22. Koury, M. J. (2005) In vitro maturation of nascent reticulocytes to erythrocytes. Blood. 105: 2168–2174.

    Article  CAS  Google Scholar 

  23. Theml, H., H. Diem, and T. Haferlach (2004) Color Altas of Hematology: Practical microscopic and clinical diagnosis. Thieme NY.

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Correspondence to Mayasari Lim.

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Lim, M., Shunjie, C., Panoskaltsis, N. et al. Systematic experimental design for bioprocess characterization: Elucidating transient effects of multi-cytokine contributions on erythroid differentiation. Biotechnol Bioproc E 17, 218–226 (2012). https://doi.org/10.1007/s12257-011-0422-y

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  • DOI: https://doi.org/10.1007/s12257-011-0422-y

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