Literature DB >> 10866945

An image-based model of calcium waves in differentiated neuroblastoma cells.

C C Fink1, B Slepchenko, I I Moraru, J Watras, J C Schaff, L M Loew.   

Abstract

Calcium waves produced by bradykinin-induced inositol-1,4, 5-trisphosphate (InsP(3))-mediated release from endoplasmic reticulum (ER) have been imaged in N1E-115 neuroblastoma cells. A model of this process was built using the "virtual cell," a general computational system for integrating experimental image, biochemical, and electrophysiological data. The model geometry was based on a cell for which the calcium wave had been experimentally recorded. The distributions of the relevant cellular components [InsP(3) receptor (InsP(3)R)], sarcoplasmic/endoplasmic reticulum calcium ATPase (SERCA) pumps, bradykinin receptors, and ER] were based on 3D confocal immunofluorescence images. Wherever possible, known biochemical and electrophysiological data were used to constrain the model. The simulation closely matched the spatial and temporal characteristics of the experimental calcium wave. Predictions on different patterns of calcium signals after InsP(3) uncaging or for different cell geometries were confirmed experimentally, thus helping to validate the model. Models in which the spatial distributions of key components are altered suggest that initiation of the wave in the center of the neurite derives from an interplay of soma-biased ER distribution and InsP(3) generation biased toward the neurite. Simulations demonstrate that mobile buffers (like the indicator fura-2) significantly delay initiation and lower the amplitude of the wave. Analysis of the role played by calcium diffusion indicated that the speed of the wave is only slightly dependent on the ability of calcium to diffuse to and activate neighboring InsP(3) receptor sites.

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Year:  2000        PMID: 10866945      PMCID: PMC1300923          DOI: 10.1016/S0006-3495(00)76281-3

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  48 in total

1.  Functional comparisons between isoforms of the sarcoplasmic or endoplasmic reticulum family of calcium pumps.

Authors:  J Lytton; M Westlin; S E Burk; G E Shull; D H MacLennan
Journal:  J Biol Chem       Date:  1992-07-15       Impact factor: 5.157

2.  Agonist-induced changes in [Ca2+]i in N1E-115 cells: differential effects of bradykinin and carbachol.

Authors:  P A Iredale; K F Martin; S J Hill; D A Kendall
Journal:  Eur J Pharmacol       Date:  1992-06-05       Impact factor: 4.432

3.  Bell-shaped calcium-response curves of Ins(1,4,5)P3- and calcium-gated channels from endoplasmic reticulum of cerebellum.

Authors:  I Bezprozvanny; J Watras; B E Ehrlich
Journal:  Nature       Date:  1991-06-27       Impact factor: 49.962

4.  Bradykinin receptor-mediated cyclic GMP formation in a nerve cell population (murine neuroblastoma clone N1E-115).

Authors:  R M Snider; E Richelson
Journal:  J Neurochem       Date:  1984-12       Impact factor: 5.372

5.  A new generation of Ca2+ indicators with greatly improved fluorescence properties.

Authors:  G Grynkiewicz; M Poenie; R Y Tsien
Journal:  J Biol Chem       Date:  1985-03-25       Impact factor: 5.157

6.  Calcium binding to fluorescent calcium indicators: calcium green, calcium orange and calcium crimson.

Authors:  M Eberhard; P Erne
Journal:  Biochem Biophys Res Commun       Date:  1991-10-15       Impact factor: 3.575

7.  Angiotensin II effects on the cytosolic free Ca2+ concentration in N1E-115 neuroblastoma cells: kinetic properties of the Ca2+ transient measured in single fura-2-loaded cells.

Authors:  J R Monck; R E Williamson; I Rogulja; S J Fluharty; J R Williamson
Journal:  J Neurochem       Date:  1990-01       Impact factor: 5.372

8.  Spacial compartmentalization of Ca2+ signaling complexes in pancreatic acini.

Authors:  X Xu; W Zeng; J Diaz; S Muallem
Journal:  J Biol Chem       Date:  1996-10-04       Impact factor: 5.157

9.  Organization of the sea urchin egg endoplasmic reticulum and its reorganization at fertilization.

Authors:  M Terasaki; L A Jaffe
Journal:  J Cell Biol       Date:  1991-09       Impact factor: 10.539

10.  Morphological control of inositol-1,4,5-trisphosphate-dependent signals.

Authors:  C C Fink; B Slepchenko; I I Moraru; J Schaff; J Watras; L M Loew
Journal:  J Cell Biol       Date:  1999-11-29       Impact factor: 10.539

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  42 in total

1.  Localized chemical release from an artificial synapse chip.

Authors:  Mark C Peterman; Jaan Noolandi; Mark S Blumenkranz; Harvey A Fishman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-24       Impact factor: 11.205

Review 2.  Modeling cell signaling networks.

Authors:  Narat J Eungdamrong; Ravi Iyengar
Journal:  Biol Cell       Date:  2004-06       Impact factor: 4.458

3.  Signaling in small subcellular volumes. I. Stochastic and diffusion effects on individual pathways.

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Journal:  Biophys J       Date:  2004-08       Impact factor: 4.033

4.  A signal transduction pathway model prototype I: From agonist to cellular endpoint.

Authors:  Thomas J Lukas
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

Review 5.  Use of virtual cell in studies of cellular dynamics.

Authors:  Boris M Slepchenko; Leslie M Loew
Journal:  Int Rev Cell Mol Biol       Date:  2010       Impact factor: 6.813

6.  Stochastic hybrid modeling of intracellular calcium dynamics.

Authors:  TaiJung Choi; Mano Ram Maurya; Daniel M Tartakovsky; Shankar Subramaniam
Journal:  J Chem Phys       Date:  2010-10-28       Impact factor: 3.488

Review 7.  Models of calcium dynamics in cerebellar granule cells.

Authors:  Elena È Saftenku
Journal:  Cerebellum       Date:  2012-03       Impact factor: 3.847

8.  Developing models in virtual cell.

Authors:  Susana R Neves
Journal:  Sci Signal       Date:  2011-09-20       Impact factor: 8.192

9.  Ca2+ entry through NaV channels generates submillisecond axonal Ca2+ signaling.

Authors:  Naomi Ak Hanemaaijer; Marko A Popovic; Xante Wilders; Sara Grasman; Oriol Pavón Arocas; Maarten Hp Kole
Journal:  Elife       Date:  2020-06-17       Impact factor: 8.140

Review 10.  Computational approaches for modeling regulatory cellular networks.

Authors:  Narat J Eungdamrong; Ravi Iyengar
Journal:  Trends Cell Biol       Date:  2004-12       Impact factor: 20.808

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