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In this letter we present the results of a simple model for intercellular communication via calcium oscillations, motivated in part by a recent experimental study. The model describes two cells (a "donor" and "sensor") whose intracellular…

Biological Physics · Physics 2007-05-23 M. E. Gracheva , J. D. Gunton

We examine the synchrony of the dynamics of localized [Ca^{2+}]_i oscillations in internal pool of astrocytes via diffusing coupling of a network of such cells in a certain topology where cytosolic Ca^{2+} and inositol 1,4,5-triphosphate…

The ATP-driven Plasma Membrane Calcium pump or Ca(2+)-ATPase (PMCA) is characterized by a high affinity to calcium and a low transport rate compared to other transmembrane calcium transport proteins. It plays a crucial role for calcium…

Biological Physics · Physics 2014-11-18 Michael Graupner , Frido Erler , Michael Meyer-Hermann

Living cells sense noisy biochemical signals crucial for survival, yet models incorporating intracellular signaling are limited. This study examines how cells sense chemotactic concentrations through phosphorylation readouts in Ca2+…

Subcellular Processes · Quantitative Biology 2025-08-22 Swoyam Srirupa , Pradeep , Vaibhav Wasnik

We study the dynamics of intracellular calcium oscillations in the presence of proteins that bind calcium on multiple sites and that are generally believed to act as passive calcium buffers in cells. We find that multisite calcium-binding…

Subcellular Processes · Quantitative Biology 2015-05-14 Roberto Chignola , Alessio Del Fabbro , Edoardo Milotti

Calcium (Ca) plays an important role in regulating various cellular processes. In a variety of cell types, Ca signaling occurs within microdomains where channels deliver localized pulses of Ca which activate a nearby collection of…

Subcellular Processes · Quantitative Biology 2009-11-13 Robert Rovetti , Kunal K. Das , Alan Garfinkel , Yohannes Shiferaw

We present a stochastic computational model to study the mechanism of signalling between a source and a target ionic transporter, both localized on the plasma membrane (PM) and in intracellular nanometre-scale subplasmalemmal signalling…

Quantitative Methods · Quantitative Biology 2009-10-22 Nicola Fameli , Kuo-Hsing Kuo , Cornelis van Breemen

A new paradigm has recently emerged in brain science whereby communications between glial cells and neuron-glia interactions should be considered together with neurons and their networks to understand higher brain functions. In particular,…

Neurons and Cognition · Quantitative Biology 2010-09-14 Mati Goldberg , Maurizio De Pittà , Vladislav Volman , Hugues Berry , Eshel Ben-Jacob

Muscle uses Ca2+ as a messenger to control contraction and relies on ATP to maintain the intracellular Ca2+ homeostasis. Mitochondria are the major sub-cellular organelle of ATP production. With a negative inner membrane potential,…

Biomolecules · Quantitative Biology 2016-07-29 Jingsong Zhou , Kamal Dhakal , Jianxun Yi

Many cell types exhibit oscillatory activity, such as repetitive action potential firing due to the Hodgkin-Huxley dynamics of ion channels in the cell membrane or reveal intracellular inositol triphosphate (IP$_3$) mediated calcium…

Cell Behavior · Quantitative Biology 2015-06-26 J. M. A. M. Kusters , J. M. Cortes , W. P. M. van Meerwijk , D. L. Ypey , A. P. R. Theuvenet , C. C. A. M. Gielen

A major challenge in biology is to understand how molecular processes determine phenotypic features. We address this fundamental problem in a class of model systems by developing a general mathematical framework that allows the calculation…

Molecular Networks · Quantitative Biology 2014-02-25 Nils Christian , Alexander Skupin , Silvia Morante , Karl Jansen , Giancarlo Rossi , Oliver Ebenhöh

A living cell senses its environment and responds to external signals. In this work, we study theoretically, the precision at which cells can determine the position of a spatially localized transient extracellular signal. To this end, we…

Cell Behavior · Quantitative Biology 2019-09-04 Vaibhav H. Wasnik , Peter Lipp , Karsten Kruse

In this study, we explored the utility of a descriptive and predictive bionetwork model for phospholipase C-coupled calcium signaling pathways, built with non-kinetic experimental information. Boolean models generated from these data yield…

Molecular Networks · Quantitative Biology 2009-12-14 Gaurav Bhardwaj , Christine P. Wells , Reka Albert , Damian B. van Rossum , Randen L. Patterson

Calcium is an ubiquitous second messenger that triggers a plethora of key physiological responses. The events are initiated in micro- or nano-sized compartments and determined by the complex interactions with calcium-binding proteins and…

Subcellular Processes · Quantitative Biology 2013-05-01 S. L. Mironov

Projection neurons in the dorsal horn relay nociceptive input to supraspinal centers. During central sensitization, a subset of them switches from tonic firing to plateau potentials with sustained afterdischarges, a change that requires…

Neurons and Cognition · Quantitative Biology 2026-05-29 Anaëlle De Worm , Guillaume Drion , Pierre Sacré

Heart muscle contraction is normally activated by a synchronized Ca release from sarcoplasmic reticulum (SR), a major intracellular Ca store. However, under abnormal conditions Ca leaks from the SR, decreasing heart contraction amplitude…

Subcellular Processes · Quantitative Biology 2023-07-19 Anna Maltsev , Michael Stern , Victor Maltsev

Electrical neural signalling typically takes place at the time-scale of milliseconds, and is typically modeled using the cable equation. This is a good approximation for processes when ionic concentrations vary little during the time course…

Cell Behavior · Quantitative Biology 2014-03-05 Geir Halnes , Ivar Østby , Klas H. Pettersen , Stig W. Omholt , Gaute T. Einevoll

We propose a simple discrete stochastic model for calcium dynamics in living cells. Specifically, the calcium concentration distribution is assumed to give rise to a set of probabilities for the opening/closing of channels which release…

patt-sol · Physics 2009-10-31 Markus Baer , Martin Falcke , Herbert Levine , Lev S. Tsimring

We present a machine learning method for model reduction which incorporates domain-specific physics through candidate functions. Our method estimates an effective probability distribution and differential equation model from stochastic…

Machine Learning · Computer Science 2021-09-14 Oliver K. Ernst , Tom Bartol , Terrence Sejnowski , Eric Mjolsness

We present a mass spectrometric technique for identifying the masses and relative abundances of Coulomb-crystallized ions held in a linear Paul trap. A digital radiofrequency waveform is employed to generate the trapping potential, as this…