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Computer simulation and interpretation of45Ca efflux profile patterns

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Summary

Stimulations or inhibitions by various agents of45Ca efflux from prelabeled cells or tissues display distinct and reproducible profile patterns when the results are plotted against time as fractional efflux ratios (FER). FER is the fractional efflux of45Ca from stimulated cells divided by the fractional efflux from a control unstimulated group. These profile patterns fall into three categories: peak patterns, exponential patterns, and mixed patterns. Each category can be positive (stimulation) or negative (inhibition). The interpretation of these profiles is difficult because45Ca efflux depends on three variables: the rate of calcium transport out of the cell, the specific activity of the cell compartment from which the calcium originates, and the concentration of free calcium in this compartment. A computer model based on data obtained by kinetic analyses of45Ca desaturation curves and consisting of two distinct intracellular pools was designed to follow the concentration of the traced substance (40Ca), the tracer (45Ca), and the specific activity of each compartment before, during, and after the stimulation or the inhibition of calcium fluxes at various pool boundaries. The computer model can reproduce all the FER profiles obtained experimentally and bring information which may be helpful to the interpretation of this type of data. Some predictions of the model were tested experimentally, and the results support the views that a peak pattern may reflect a sustained change in calcium transport across the plasma membrane, that an exponential pattern arises from calcium mobilization from an internal subcellular pool, and that a mixed pattern may be caused by a simultaneous change in calcium fluxes at both compartment boundaries.

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References

  1. Borle, A.B. 1971. Calcium transport in kidney cells and its regulation in cellular mechanisms for calcium transfer and homeostasis. G. Nichols, Jr., and R.H. Wasserman, editors, pp. 151–174. Academic Press, New York

    Google Scholar 

  2. Borle, A.B. 1975. Methods for assessing hormone effects on calcium fluxesin vitro.In: Methods in Enzymology, Vol. 39. Hormone Action, part D, Isolated Cells, Tissues and Organ Systems. J.G. Hardman and B.W. O'Malley, editor. p. 513–573. Academic Press, New York

    Google Scholar 

  3. Borle, A.B. 1981. Control, regulation and modulation of cell calcium.Rev. Physiol. Biochem. Pharmacol. 90:13–153

    Google Scholar 

  4. Borle, A.B. 1982. Effect of sodium on cellular calcium transport in rat kidney.J. Membrane Biol. 66:183–191

    Google Scholar 

  5. Borle, A.B., Briggs, F.N. 1968. Microdetermination of calcium in biological material by automatic fluorometric titration.Anal. Chem. 40:339–344

    Google Scholar 

  6. Borle, A.B., Clark, J. 1981. Effects of phosphate induced hyperparathyroidism and parathyroidectomy on rat kidney calciumin vivo.Am. J. Physiol. 241:E136-E141

    Google Scholar 

  7. Borle, A.B., Uchikawa, T. 1978. Effects of parathyroid hormone on the distribution and transport of calcium in cultured kidney cells.Endocrinology 102:1725–1732

    Google Scholar 

  8. Borle, A.B., Uchikawa, T. 1979. Effects of adenosine 3′,5′-monophosphate, dibutyryl adenosine 3′,5′-monophosphate, aminophylline and imidazole on renal cellular calcium metabolism.Endocrinology 104:122–129

    Google Scholar 

  9. Garfinkel, D., Ching, S.W., Adelman, M., Clark, P. 1966. Techniques and problems in the construction of computer models of biochemical systems including real enzymes.Ann. N.Y. Acad. Sci. 128:1054–1068

    Google Scholar 

  10. Kikuchi, M., Wollheim, C.B., Cuendet, G.S., Renold, A.E., Sharp, G.W.G. 1978. Studies on the dual effect of glucose on45Ca efflux from isolated rat islets.Endocrinology 102:1339–1349

    Google Scholar 

  11. Lowry, O.H., Rosebrough, N., Farr, A., Randall, R. 1951. Protein measurement with the Folin phenol reagent.J. Biol. Chem. 193:265–275

    Google Scholar 

  12. Malaisse, W.J., Brisson, G.R., Baird, L.E. 1973. Stimulus-secretion coupling of glucose-induced insulin release: X. Effect of glucose on45Ca efflux from perfused islets.Am. J. Physiol. 224:389–394

    Google Scholar 

  13. Merchant, D.J., Kahn, R.H., Murphy, W.H. 1964. Handbook of Cell and Organ Culture. Burgess, Minneapolis

    Google Scholar 

  14. Studer, R.K., Borle, A.B. 1979. Effect of pH on the calcium metabolism of isolated rat kidney cells.J. Membrane Biol. 48:325–341

    Google Scholar 

  15. Studer, R.K., Borle, A.B. 1980. The effects of hydrogen ions on the kinetics of calcium transport by rat kidney mitochondria.Arch. Biochem. Biophys. 203:707–718

    Google Scholar 

  16. Uchikawa, T., Borle, A.B. 1978. Kinetic analysis of calcium desaturation curves from isolated kidney cells.Am. J. Physiol. 234:R29-R33

    Google Scholar 

  17. Uchikawa, T., Borle, A.B. 1978. Studies of calcium-45 desaturation from kidney slices in flow-through chambers.Am. J. Physiol. 234:R34-R38

    Google Scholar 

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Borle, A.B., Uchikawa, T. & Anderson, J.H. Computer simulation and interpretation of45Ca efflux profile patterns. J. Membrain Biol. 68, 37–46 (1982). https://doi.org/10.1007/BF01872252

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  • DOI: https://doi.org/10.1007/BF01872252

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