Abstract
The quantification of metabolite leakage from damaged mammalian cells to the surrounding medium is of high interest for the processing of samples for metabolomic analysis. It is also of relevance to know the typical time span which is required for a promoted metabolite release through a selectively permeabilized cell membrane. The real-time observation of such a process is difficult since small metabolites cannot be observed directly by optical methods and other more indirect assays can disturb the metabolite concentration itself. However, the diffusion based loss of metabolites from the cytoplasm can be predicted on the basis of reference measurements taken from an easy-to-detect molecule with known diffusion coefficient. In this work, we use green fluorescent protein (GFP) as a marker and model its release from damaged cells using the finite-element method. A correlation between the disrupted membrane area fraction, A d , the distribution of membrane ruptures and the rate of GFP efflux, k e , has been established. k e has been determined experimentally for Chinese hamster ovary cells, which have been damaged mechanically by passage through a micronozzle geometry in a microfluidic system. The immediate GFP release downstream of the micronozzles has been observed in real-time and the corresponding membrane damage has been predicted. On this basis, we calculated the expected times required for the drainage of freely diffusable cytosolic glucose and found a loss of ≈90% within 1 s for a disrupted membrane area fraction of ≈5%. Hence, even minimal membrane damage would lead to a rapid loss of cytosolic metabolites by diffusion unless membrane resealing processes take place.
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References
Alberts, B., Johnson, A., Lewis, J., Raff, M., Roberts, K., & Walter, P. (1994). Molecular biology of the cell, vol 1. New York: Garland Publishing Inc.
Bird, R. B., Stewart, W. E., & Lightfoot, E. N. (2007). Transport phenomena (Vol. 2). New York: Wiley.
Bolten, C. J., Kiefer, P., Letisse, F., Portais, J. C., & Wittmann, C. (2007). Sampling for metabolome analysis of microorganisms. Analytical Chemistry, 79, 3843–3849.
Bourne, M. C., Chichester, C. O., & Sterling, C. (1963). Diffusion constants of a maltosaccharide series. Journal of Polymer Science Part A—General Papers, 1(2), 817–821.
Calvert, P. D., Peet, J. A., Bragin, A., Schiesser, W. E., & Pugh, E. N. J. (2007). Fluorescence relaxation in 3D from diffraction-limited sources of PAGFP or sinks of EGFP created by multiphoton photoconversion. Journal of Microscopy—Oxford, 225(1), 49–71.
Calvert, P. D., Schiesser, W. E., & Pugh, E. N. J. (2010). Diffusion of a soluble protein, photoactivatable GFP, through a sensory cilium. Journal of General Physiology, 135(3), 173–196.
Canelas, A. B., Ras, C., Pierick, A. t., van Dam, J. C., Heijnen, J. J., & van Gulik, W. M. (2008). Leakage-free rapid quenching technique for yeast metabolomics. Metabolomics, 4(3), 226–239.
Dietmair, S., Timmins, N. E., Gray, P. P., Nielsen, L. K., & Kroemer, J. O. (2010). Towards quantitative metabolomics of mammalian cells: Development of a metabolite extraction protocol. Analytical Biochemistry, 404(2), 155–164.
Furtado, A., & Henry, R. (2002). Measurement of green fluorescent protein concentration in single cells by image analysis. Analytical Biochemistry, 310(1), 84–92.
Kuhn, T., Ihalainen, T. O., Hyvaluoma, J., Dross, N., Willman, S. F., Langowski, J., et al. (2011). Protein diffusion in mammalian cell cytoplasm. PLoS ONE, 6(8), e22962.
Kuimova, M. K., Botchway, S. W., Parker, A. W., Balaz, M., Collins, H. A., Anderson, H. L., et al. (2009). Imaging intracellular viscosity of a single cell during photoinduced cell death. Nature Chemistry, 1(1), 69–73.
Lu, H., Schmidt, M. A., & Jensen, K. F. (2005). A microfluidic electroporation device for cell lysis. Lab on a Chip, 5(1), 23–29.
Mullineaux, C. W., Nenninger, A., Ray, N., & Robinson, C. (2006). Diffusion of green fluorescent protein in three cell environments in Escherichia coli. Journal of Bacteriology, 188(10), 3442–3448.
Niklas, J., Melnyk, A., Yuan, Y., & Heinzle, E. (2011). Selective permeabilization for the high-throughput measurement of compartmented enzyme activities in mammalian cells. Analytical Biochemistry, 416(2), 218–227.
Seksek, O., Biwersi, J., & Verkman, A. S. (1997). Translational diffusion of macromolecule-sized solutes in cytoplasm and nucleus. Journal of Cell Biology, 138(1), 131–142.
Sellick, C. A., Hansen, R., Stephens, G. M., Goodacre, R., & Dickson, A. J. (2011). Metabolite extraction from suspension-cultured mammalian cells for global metabolite profiling. Nature Protocols, 6(8), 1241–1249.
Swaminathan, R., Hoang, C. P., & Verkman, A. S. (1997). Photobleaching recovery and anisotropy decay of green fluorescent protein GFP-S65T in solution and cells: Cytoplasmic viscosity probed by green fluorescent protein translational and rotational diffusion. Biophysical Journal, 72(4), 1900–1907.
Togo, T., Krasieva, T. B., & Steinhardt, R. A. (2000). A decrease in membrane tension precedes successful cell-membrane repair. Molecular Biology of the Cell, 11(12), 4339–4346.
Villas-Boas, S. G., Hojer-Pedersen, J., Akesson, M., Smedsgaard, J., & Nielsen, J. (2005). Global metabolite analysis of yeast: Evaluation of sample preparation methods. Yeast, 22(14), 1155–1169.
Volmer, M., Northoff, S., Scholz, S., Thuete, T., Buentemeyer, H., & Noll, T. (2011). Fast filtration for metabolome sampling of suspended animal cells. Biotechnology Letters, 33(3), 495–502.
Wittmann, C., Krömer, J. O., Kiefer, P., Binz, T., & Heinzle, E. (2004). Impact of the cold shock phenomenon on quantification of intracellular metabolites in bacteria. Analytical Biochemistry, 327, 135–139.
Wurm, M. (2011). Development of an integrated microfluidic system for metabolomic analysis of mammalian cells. Dissertation, Hamburg University of Technology.
Acknowledgments
We are grateful to Prof. Dr.-Ing. J. Mueller and his coworkers of the Institute of Microsystems Technology at the University of Technology Hamburg for cooperation with respect to the manufacturing of the microfluidic systems. This project has been funded partially by the German Ministry of Education and Research (BMBF, FZ. 0315555A) and the Deutsche Forschungsgemeinschaft (DFG, ZE 542/4-1).
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Wurm, M., Zeng, AP. Estimation of protein and metabolite release rates from damaged mammalian cells by using GFP as a marker molecule. Metabolomics 8, 1081–1089 (2012). https://doi.org/10.1007/s11306-012-0413-9
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DOI: https://doi.org/10.1007/s11306-012-0413-9