Literature DB >> 6809948

Computer simulation and interpretation of 45Ca efflux profile patterns.

A B Borle, T Uchikawa, J H Anderson.   

Abstract

Stimulations or inhibitions by various agents of 45Ca 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 of 45Ca 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 because 45Ca 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 of 45Ca 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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Year:  1982        PMID: 6809948     DOI: 10.1007/BF01872252

Source DB:  PubMed          Journal:  J Membr Biol        ISSN: 0022-2631            Impact factor:   1.843


  14 in total

1.  Studies on the dual effects of glucose on 45Ca++ efflux from isolated rat islets.

Authors:  M Kikuchi; C B Wollheim; G S Cuendet; A E Renold; G W Sharp
Journal:  Endocrinology       Date:  1978-05       Impact factor: 4.736

2.  Stimulus-secretion coupling of glucose-induced insulin release. X. Effect of glucose on 45 Ca efflux from perifused islets.

Authors:  W J Malaisse; G R Brisson; L E Baird
Journal:  Am J Physiol       Date:  1973-02

3.  Microdetermination of calcium in biological material by automatic fluorometric titration.

Authors:  A B Borle; F N Briggs
Journal:  Anal Chem       Date:  1968-02       Impact factor: 6.986

4.  Studies of calcium-45 desaturation from kidney slices in flow-through chambers.

Authors:  T Uchikawa; A B Borle
Journal:  Am J Physiol       Date:  1978-01

Review 5.  Control, Modulation, and regulation of cell calcium.

Authors:  A B Borle
Journal:  Rev Physiol Biochem Pharmacol       Date:  1981       Impact factor: 5.545

6.  The effects of hydrogen ions on the kinetics of calcium transport by rat kidney mitochondria.

Authors:  R K Studer; A B Borle
Journal:  Arch Biochem Biophys       Date:  1980-09       Impact factor: 4.013

7.  Effects of parathyroid hormone on the distribution and transport of calcium in cultured kidney cells.

Authors:  A B Borle; T Uchikawa
Journal:  Endocrinology       Date:  1978-06       Impact factor: 4.736

8.  Effects of adenosine 3',5'-monophosphate, dibutyryl adenosine 3',5'-monophosphate, aminophylline, and imidazole on renal cellular calcium metabolism.

Authors:  A B Borle; T Uchikawa
Journal:  Endocrinology       Date:  1979-01       Impact factor: 4.736

9.  Effects of phosphate-induced hyperparathyroidism and parathyroidectomy on rat kidney calcium in vivo.

Authors:  A B Borle; I Clark
Journal:  Am J Physiol       Date:  1981-08

10.  Effect of pH on the calcium metabolism of isolated rat kidney cells.

Authors:  R K Studer; A B Borle
Journal:  J Membr Biol       Date:  1979-08       Impact factor: 1.843

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  9 in total

1.  Enhanced activation of phospholipase C and insulin secretion from islets incubated in fatty acid-free bovine serum albumin.

Authors:  Walter S Zawalich; Kathleen C Zawalich
Journal:  Metabolism       Date:  2008-02       Impact factor: 8.694

2.  Effect of sodium and calcium on basal secretory activity of rat neurohypophysial peptidergic nerve terminals.

Authors:  E C Toescu; J J Nordmann
Journal:  J Physiol       Date:  1991-02       Impact factor: 5.182

3.  Effect of L-lysine on cytosolic calcium homeostasis in cultured human normal fibroblasts.

Authors:  R Civitelli; K N Fedde; J Harter; L R Halstead; C Gennari; L V Avioli
Journal:  Calcif Tissue Int       Date:  1989-09       Impact factor: 4.333

4.  Endothelin-1 stimulates insulin secretion by direct action on the islets of Langerhans in mice.

Authors:  S Gregersen; J L Thomsen; B Brock; K Hermansen
Journal:  Diabetologia       Date:  1996-09       Impact factor: 10.122

Review 5.  Cytosolic free Ca2+ in insulin secreting cells and its regulation by isolated organelles.

Authors:  M Prentki; C B Wollheim
Journal:  Experientia       Date:  1984-10-15

Review 6.  An overview of techniques for the measurement of calcium distribution, calcium fluxes, and cytosolic free calcium in mammalian cells.

Authors:  A B Borle
Journal:  Environ Health Perspect       Date:  1990-03       Impact factor: 9.031

7.  Time-dependent potentiation of insulin release induced by alpha-ketoisocaproate and leucine in rats: possible involvement of phosphoinositide hydrolysis.

Authors:  W S Zawalich
Journal:  Diabetologia       Date:  1988-07       Impact factor: 10.122

8.  Effects of prior 5-hydroxytryptamine exposure on rat islet insulin secretory and phospholipase C responses.

Authors:  Walter S Zawalich; Gregory J Tesz; Kathleen C Zawalich
Journal:  Endocrine       Date:  2004-02       Impact factor: 3.633

9.  Stimulus-secretion coupling in the developing exocrine pancreas: secretory responsiveness to cholecystokinin.

Authors:  A Chang; J D Jamieson
Journal:  J Cell Biol       Date:  1986-12       Impact factor: 10.539

  9 in total

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