Models

Dataset Information

0

Hernjak2005_Calcium_Signaling


ABSTRACT: The model reproduces the time profiles of Calcium in the spine and dendrites as depicted in Fig 8 and Fig 9 of the paper for CF activation. The model was reproduced using MathSBML. Please note that the units of volume species is molecules/micrometer cubed as against the units of microMolar given in the paper. To convert the units to microMolar multiply the species concentration by the conversion factor 1/602. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2010 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.

SUBMITTER: Harish Dharuri  

PROVIDER: BIOMD0000000162 | BioModels | 2008-01-28

REPOSITORIES: BioModels

altmetric image

Publications

Modeling and analysis of calcium signaling events leading to long-term depression in cerebellar Purkinje cells.

Hernjak Nicholas N   Slepchenko Boris M BM   Fernald Kathleen K   Fink Charles C CC   Fortin Dale D   Moraru Ion I II   Watras James J   Loew Leslie M LM  

Biophysical journal 20050916 6


Modeling and simulation of the calcium signaling events that precede long-term depression of synaptic activity in cerebellar Purkinje cells are performed using the Virtual Cell biological modeling framework. It is found that the unusually high density and low sensitivity of inositol-1,4,5-trisphosphate receptors (IP3R) are critical to the ability of the cell to generate and localize a calcium spike in a single dendritic spine. The results also demonstrate the model's capability to simulate the s  ...[more]

Similar Datasets

2019-05-16 | BIOMD0000000081 | BioModels
2008-01-29 | BIOMD0000000161 | BioModels
2022-12-01 | GSE202714 | GEO
2023-03-10 | PXD034244 | Pride
2019-12-01 | GSE117075 | GEO
2008-09-13 | BIOMD0000000208 | BioModels
2019-03-26 | GSE124926 | GEO
2022-12-17 | GSE218952 | GEO
2011-06-07 | E-GEOD-29745 | biostudies-arrayexpress
| PRJNA214885 | ENA