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Year : 2011  |  Volume : 2  |  Issue : 3  |  Page : 101  

The impact of chemical coupling on intercellular communication of coupled Ca 2+ oscillators in hepatocytes


1 Department of Computer Science, Jamia Millia Islamia, New Delhi-110025, India
2 Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi - 110025, India
3 School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India

Date of Web Publication26-May-2012

Correspondence Address:
Md. Zubbair Malik
Department of Computer Science, Jamia Millia Islamia, New Delhi-110025
India
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Source of Support: None, Conflict of Interest: None


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How to cite this article:
Malik M, Alam M, Devi G R, Ravins, Brojen Singh R K, ali S, Md. Badruzzaman, Mobeen F. The impact of chemical coupling on intercellular communication of coupled Ca 2+ oscillators in hepatocytes. J Nat Sc Biol Med 2011;2, Suppl S1:101

How to cite this URL:
Malik M, Alam M, Devi G R, Ravins, Brojen Singh R K, ali S, Md. Badruzzaman, Mobeen F. The impact of chemical coupling on intercellular communication of coupled Ca 2+ oscillators in hepatocytes. J Nat Sc Biol Med [serial online] 2011 [cited 2020 Jan 28];2, Suppl S1:101. Available from: http://www.jnsbm.org/text.asp?2011/2/3/101/96046

We studied the intracellular Ca 2+ model of hepatocytes by incorporating InsP3 in the biochemical interaction involved which gives rise to localized Ca 2+ oscillation and free Ca 2+ wave out of it. The localized Ca 2+ oscillation in the cell is influenced by two important factors, first by InsP3 and secondly by Ca 2+ induced by the neighbouring cells. We did large scale computation of this model and found that the sustained oscillations of the localized Ca 2+ is significantly affected by Ca +2 wave from the neighbouring cells. Further, the hepatocytes Ca +2 oscillators are allowed to couple via chemical coupling mechanism (ie via diffusion of Ca +2 and InsP 3 ) and we show give significant role of chemical coupling in such cellular communication. Our simulation results show the noise induced stochastic dynamics of each protein populations involved in the model. Further the effect of noise increases as the system size decreases with significant destructive tendency to signal.




 

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