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NanoLiterBioReactor: Monitoring of Long-Term Mammalian Cell Physiology at Nanofabricated Scale

Published online by Cambridge University Press:  15 March 2011

Ales Prokop*
Affiliation:
NanoDelivery, Inc., Nashville, TN 37211 Chemical Engineering, Vanderbilt University, Nashville, TN 37235
Zdenka Prokop
Affiliation:
NanoDelivery, Inc., Nashville, TN 37211
David Schaffer
Affiliation:
Mechanical Engineering, Vanderbilt University, Nashville, TN 37235
Eugene Kozlov
Affiliation:
Chemical Engineering, Vanderbilt University, Nashville, TN 37235
John Wikswo
Affiliation:
Biomedical Engineering, Vanderbilt University, Nashville, TN 37235 Physics and Astronomy, Vanderbilt University, Nashville, TN 37235
David Cliffel
Affiliation:
Chemistry Vanderbilt University, Nashville, TN 37235
Franz Baudenbacher
Affiliation:
Biomedical Engineering, Vanderbilt University, Nashville, TN 37235
*
Correspondence: [email protected]
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Abstract

There is a need for microminiaturized cell-culture environments, i.e., NanoLiter BioReactors (NBRs), for growing and maintaining populations of up to several hundred cultured mammalian cells in volumes three orders of magnitude smaller than those contained in standard multi-well screening plates. Reduced NBR volumes would not only shorten the time required for diffusive mixing, for achieving thermal equilibrium, and for cells to grow to confluence, but also simplify accurate cell counting, minimize required volumes of expensive analytical pharmaceuticals or toxins, and allow for thousands of culture chambers on a single instrumented chip. These devices would enable the development of a new class of miniature, automated cell-based bioanalysis arrays for monitoring the immediate environment of multiple cell lines and assessing the effects of drug or toxin exposure. The challenge, beyond that of optimizing the NBR physically, is to detect cellular response, provide appropriate control signals, and, eventually, facilitate closed-loop adjustments of the environment--e.g., to control temperature, pH, ionic concentration, etc., to maintain homeostasis, or to apply drugs or toxins followed by the adaptive administration of a selective toxin antidote. To characterize in a nonspecific manner the metabolic activity of cells, the biosensor elements of the NBR might include planar pH, dissolved oxygen, and redox potential sensors, or even an isothermal picocalorimeter (pC) to monitor thermodynamic response. Equipped with such sensors, the NBR could be used to perform short- and long-term cultivation of several mammalian cell lines in a perfused system, and to monitor their response to analytes in a massively parallel format. This approach will enable automated, parallel, and multiphasic monitoring of multiple cell lines for drug and toxicology screening. An added bonus is the possibility of studying cell populations with low cell counts whose constituents are completely detached from typical tissue environment, or populations in controlled physical and chemical gradients.

Type
Research Article
Copyright
Copyright © Materials Research Society 2004

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References

1. Slater, K., Cytotoxicity tests for high-throughput drug discovery, Curr. Opin. Biotechnol. 12, 70 (2001).Google Scholar
2. Prokop, A., Systems analysis and synthesis in biology and biotechnology, Int. J. Gen. Syst. 8, 1 (1982).Google Scholar
3. Becker, H. and Gartner, C., Polymer based micro-reactors, Revs. Molec. Biotechnol. 82, 89 (2001).Google Scholar
4. Efimenko, K., Wallace, W.E. and Genzer, J., Surface modification of Sylgard-184 Poly (dimethyl siloxane) networks by ultraviolet and ultraviolet/ozone treatment, J. Coll. Interface Sci. 254, 306 (2002).Google Scholar
5. Mekel, T.C., Bondar, V.I., Nagai, K., Freeman, B.D. and Pinnau, I., Gas sorption, diffusion, and permeation in poly(dimethylsiloxane), J. Polymer Sci., Polymer Phys. B 38, 415 (2000).Google Scholar
6. Powers, M.J., Domansky, K., Kaazempur-Mofrad, M.R., Kalezi, A., Capitano, A., Upadhyaya, A., Kurzawski, P., Wack, K.E., Stolz, D.B., Kamm, R. and Griffith, L.G., A microfabricated array bioreactor for perfused 3D liver culture, Biotechnol. Bioeng. 78, 257 (2002).Google Scholar
7. Tolbert, W.R., Ferfusion culture systems for production of mammalian cell biomolecules, in: Large Scale Mammalian Culture, Feder, J. and Tolbert, W.R., eds. (Academic Press, New York, 1985) p. 97.Google Scholar
9. Konrad, M.W., Storrie, B., Glaser, D.A. and Thompson, L.H., Clonal variation in colony morphology and growth of CHO cells cultured on agar, Cell 10, 305 (1977).Google Scholar
8. Michalopoulos, G., Cianciulli, H.D., Novotny, A.R., Kligerman, A.D., Strom, S.C. and Jirtle, R.L., Liver regeneration studies with rat hepatocytes in primary culture, Cancer Res. 42, 4673 (1982).Google Scholar
10. Kooten, T.G. van, Whitesides, J.F. and Recum, A.F. von, Influence of silicone (PDMS) surface texture on human skin fibroblast proliferation as determined by cell cycle analysis, J. Biomed. Mater. Res. (Appl. Biomat.) 43, 1 (1998).Google Scholar
11. Prokop, A. and Bajpai, R.K., The sensitivity of biocatalysts to hydrodynamic shear stress, in Advances in Applied Microbiology, Laskin, A., ed. (Academic Press, New York, 1992) vol. 37, p. 165.Google Scholar
12. Parsons-Wingerter, P.A. and Saltzman, W.M., Growth versus function in the three-dimensional culture of single and aggregated hepatocytes within collagen gels, Biotechnol. Progr. 9, 600 (1993).Google Scholar
13. Voldman, J., Gray, M.L. and Schmidt, M.A., Microfabrication in biology and medicine, Annu. Rev. Biomed. Eng. 1, 401 (1999).Google Scholar
14. Zieziulewicz, T.J., Unfricht, D.W., Hadjout, N., Lynes, M.A. and Lawrence, D.A., Shrinking the biologic world – Nanobiotechnologies for toxicology, Toxicol. Sci. 74, 235 (2003).Google Scholar
15. Ghanem, A. and Shuler, M.L., Characterization of a perfusion reactor utilizing mammalian cells on microcarrier beads, Biotechnol. Progr. 16, 471 (2000).Google Scholar
16. Viravaiya, K. and Shuller, M.L., Incorporation of 3T3-L1 cells to mimic bioaccumulation in a microscale cell culture analog device for toxicity studies, Progr. Biotechnol. xx, xx (2004).Google Scholar
17. Sin, A., Chin, K.C., Jamil, M.H., Kostov, Y., Rao, G. and Shuller, M.L., The design and fabrication of three-chamber microscale cell culture devices with integrated dissolved oxygen sensors, Biotechnol. Progr. 20, 338 (2004).Google Scholar
18. Yang, Y. and Balcarcel, R.R., Determination of carbon dioxide production rates for mammalian cells in 24-well plates, BioTechniques 36, 286 (2004).Google Scholar
19. Balcarcel, R.R. and Clark, L.M., Metabolic screening of mammalian cell cultures using well-plates, Biotechnol. Prog. 19, 98 (2003).Google Scholar
20. Allen, J.W. and Ghatia, S.N., Formation of steady-state oxygen gradients in vitro, Biotechnol. Bioeng. 82, 253 (2003).Google Scholar
21. Maharbiz, M.H., Holtz, W.J., Howe, R.T. and Keasling, J.D., Microbioreactor arrays with parametric control for hig-throughput experimentation, Biotechnol. Bioeng. 85, 376 (2004).Google Scholar
22. Hafner, F., Cytosensor microphysiometer: technology and recent applications, Biosensors Bioelectr. 15, 149 (2000).Google Scholar
23. Eklund, S.E., Taylor, D., Kozlov, E., Prokop, A. and Cliffel, D.E., A microphysiometer for simultaneous measurement of changes in extracellular glucose, lactate, oxygen, and acidification rate, Anal. Chem. 76, 519 (2004).Google Scholar
24. Hediger, S., Sayah, A., Horisberger, J.D. and Hijs, M.A.M., Modular microsystem for epithelial cell culture and electrical characterization, Biosensors Bioelectr. 16, 689 (2001).Google Scholar
25. Weibezahn, K.F., Knedlitschek, G., Dertinger, H., Bier, W., Th. Schller and Schubert, K., Reconstruction of tissue layers in mechanically processed microstructures, J. Exp. Clin. Cancer Res. 14 (Suppl 1), S41 (1995).Google Scholar
26. Wheeler, A.R., Throndset, W.R., Whelan, R.J., Leach, A.M., Zare, R.N., Liao, Y.-H., Farrell, K., Manger, I.D. and Daridon, A., Microfluidic device for single-cell analysis, Anal. Chem. 75, 3249 (2003).Google Scholar
27. Jager, E.W.H., Immerstrand, C., Peterson, K.H., Magnusson, J.-E., Lundstrom, I. and Inganas, O., The cell clinic: Closable microvials for single cell studies, Biomed. Microdev. 4, 177 (2002).Google Scholar
28. Leclerc, E., Sakai, Y. and Fujii, T., Cell culture in 3-dimensional microfluidic structure of PDMS (polydimethylsiloxane), Biomed. Microdev. 5, 109 (2002).Google Scholar
29. Chang, W.J., Akin, D., Sedlak, M., Ladisch, M.R. and Bashir, R., Poly(dimethylsiloxane) (PDMS) and silicon hybrid biochip for bacterial culture, Biomed. Microdev. 6, 281 (2003).Google Scholar
30. Brischwein, M., Motrescu, E.R., Cabala, E., Otto, A.M., Grothe, H. and Wolf, B., Functional cellular assays with multiparametric silicon sensor, Lab Chip 3, 234 (2003).Google Scholar
31. Grodrian, A., Metze, J., Henkel, Th., Roth, M. and Kohler, J.M., Segmented flow generation by chip reactors for highly parallelized cell cultivation, in: Biomedical Applications of Micro- and Nanoengineering, Nicolau, D.V. and Lee, A.P., eds., Proc. SPIE 4937, 174 (2002).Google Scholar
32. Johannessen, E.A., Weaver, J.M., Bourova, L., Svoboda, P., Gobbold, P.H. and Cooper, J.M., Micromachined nanocalorimetric sensor for ultra-low-volume cell-based assays, Analyt. Chem. 74, 2190 (2002).Google Scholar
33. Borenstein, J.T., Terai, H., King, K.R., Weinberg, E.J., Kaazempur-Mofrad, M.R. and Vacanti, J.P., Microfabrication technology for vascularized tissue engineering, Biomed. Microdev. 4, 167 (2002).Google Scholar
34. Huang, W.-H., Chang, W., Zhang, Z., Pang, D.-W., Wang, Z.-L., Cheng, J.K. and Cui, D.-F., Transport, location, and quantal release monitoring of single cells on a microfluidic device, Anal. Chem. 76, 483 (2004).Google Scholar