English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

A two-step model of secretion control in neuroendocrine cells

MPS-Authors
/persons/resource/persons15203

Heinemann,  C.
Department of Membrane Biophysics, MPI for biophysical chemistry, Max Planck Society;

/persons/resource/persons15971

von Rueden,  L.
Department of Membrane Biophysics, MPI for biophysical chemistry, Max Planck Society;

/persons/resource/persons14946

Chow,  R. H.
Department of Membrane Biophysics, MPI for biophysical chemistry, Max Planck Society;

/persons/resource/persons15570

Neher,  E.
Department of Membrane Biophysics, MPI for biophysical chemistry, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Heinemann, C., von Rueden, L., Chow, R. H., & Neher, E. (1993). A two-step model of secretion control in neuroendocrine cells. Pflügers Archiv: European Journal of Physiology, 424(2), 105-112. doi:10.1007/BF00374600.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-0726-E
Abstract
Recent experiments on a variety of neuroendocrine cells indicate that intense stimuli readily depress the secretory response. The most likely explanation for this depression is that a pool of release-ready granules is depleted. We present a two-step model of secretion that allows one to simulate the dynamics of such a pool for different time courses of free intracellular Ca concentration [Ca2+]i. We derive rate constants of the model from two types of experiment and find that, for the simplest type of model, not only the rate of consumption (exocytosis) but also the rate of vesicle supply to the pool of release-ready granules must be made Ca-dependent. Given these functional dependences a variety of results from the literature can be simulated. In particular, the model predicts the occurrence of secretory depression and augmentation under appropriate conditions.