Document Detail

Intercellular communications induced by random fluctuations.
MedLine Citation:
PMID:  15706508     Owner:  NLM     Status:  MEDLINE    
This paper investigates a general coupled noisy system for a cell-cell communication in a multi-cell system. The main conclusion is that appropriate noise intensity and coupling strength are capable of driving the coupled system to synchrony, which may be exploited by biological organisms to actively facilitate mutual communication. A multi-cell system with a synthetic gene network with both noises and delays is adopted to demonstrate the effect of noises on cellular communication.
Tianshou Zhou; Luonan Chen; Ruiqi Wang; Kazuyuki Aihara
Related Documents :
6273568 - Cell junction and cycle amp: iii. promotion of junctional membrane permeability and jun...
1611148 - The blood-testis barrier and sertoli cell junctions: structural considerations.
16899068 - Glucose metabolism and proliferation in glia: role of astrocytic gap junctions.
16277158 - Intercellular junctions in oral epithelial cells: ultrastructural and immunological asp...
20727038 - B-cell stage and context-dependent requirements for survival signals from baff and the ...
9350648 - Overexpression of aminopeptidase a abolishes the growth promoting effects of angiotensi...
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Genome informatics. International Conference on Genome Informatics     Volume:  15     ISSN:  0919-9454     ISO Abbreviation:  -     Publication Date:  2004  
Date Detail:
Created Date:  2005-02-11     Completed Date:  2006-01-10     Revised Date:  2006-08-08    
Medline Journal Info:
Nlm Unique ID:  101280573     Medline TA:  Genome Inform     Country:  Japan    
Other Details:
Languages:  eng     Pagination:  223-33     Citation Subset:  IM    
Tsinghua University, Beijing 100084, China.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Adaptation, Physiological / physiology
Cell Communication / physiology*
Computer Simulation
Gene Expression Regulation / physiology*
Models, Biological*
Models, Statistical
Signal Transduction / physiology*
Stochastic Processes*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Computational prediction of operons in Synechococcus sp. WH8102.
Next Document:  Knowledge representation model for systems-level analysis of signal transduction networks.