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The Study of Calcium Dynamics with a Comprehensive Model
(2010 - Present)
Investigator:
Sandor Kadar, Salve Regina University
Abstract:
Heavy metals, pesticides, and other
environmental factors have been shown to have a profound effect on the
complex Ca2+ signaling mechanism of the cell. We found evidence, that
synchronized random variation (correlated environmental noise) on the
operation of the calcium channels and on the on the binding process of an
agonist to the G-protein coupled receptor (GPCR) have an impact on the
Ca2+ dynamics through a mechanism known as stochastic resonance (SR). We
will extend the investigation to study the effect of uncorrelated noise,
which is the case when the calcium channels and the GPCR are impacted by
noise either from different source or with different spatial and temporal
properties. We will also consider internal noise, which arises from the
highly inhomogeneous nature of the cell, on dynamical variables such as
cytosolyc Ca2+, and IP3 concentrations and on the operation of the IP3
receptor (IP3R). We continue to develop a Comprehensive Model with
Biphasic Regulation (CoMBRe) for the calcium dynamics of the cell.
The CoMBRe model is based on a “combined” model that was assembled from a
GPCR-based model and a Ca2+-induced Ca2+-release (CICR) based model. Based
on recent results, the current representation for biphasic regulation of
IP3R will be replaced by an approach that accounts for the interaction
among the activating and inhibiting calcium binding sites as well as the
IP3 binding site. Basic experimental setup will be established with the
necessary student training to collect experimental data (cytosolic calcium
vs. time traces) in response to various environmental factors, such as K+
ions and dopamine. The experimental data will be used to modify and
ultimately validate the model. The principle goal of the project is to
establish a numerical model which is sensitive to environmental noise and
validated by experimental results obtained in PC12 cells. Ultimately we
expect this to provide a viable tool to gain better understanding of
calcium dynamics as well as being able to predict physiological effects of
various environmental factors.
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