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Cited by 38

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Cell–cell interaction and diversity of emergent behaviours

Damiani, C., Serra, R., Villani, M., Kauffman, S.A., Colacci, A.·2011·IET Systems Biology

Abstract

Despite myriads of possible gene expression profiles, cells tend to be found in a confined number of expression patterns. The dynamics of Boolean models of gene regulatory networks has proven to be a likely candidate for the description of such self-organisation phenomena. Because cells do not live in isolation, but they constantly shape their functions to adapt to signals from other cells, this raises the question of whether the cooperation among cells entails an expansion or a reduction of their possible steady states. Multi random Boolean networks are introduced here as a model for interaction among cells that might be suitable for the investigation of some generic properties regarding the influence of communication on the diversity of cell behaviours. In spite of its simplicity, the model exhibits a non-obvious phenomenon according to which a moderate exchange of products among adjacent cells fosters the variety of their possible behaviours, which on the other hand are more similar to one another. On the contrary, a more invasive coupling would lead cells towards homogeneity.

Overview

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Crossref · 10.1049/iet-syb.2010.0039

Cites

25 of 25 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 25 references

Research works printed but not linked: 8

  1. Berks, 1991, 113, 131
  2. Bull, L., and Alonso-Sanz, R.: ‘On coupling random Boolean networks’’, Adamatzky, A., Alonso-Sanz, R., Lawniczak, A., Martinez, G.J., Morita, K., Worsch, T., Automata-2008: Theory and Applications of Cellular Automata, (Luniver Press 2008), p. 292–305
  3. Serra, 2008, Proc. Eighth Int. Conf. on Cellular Auotomata ACRI 2008, 315
  4. Kauffman, S.A.: ‘At home in the universe’, (Oxford University Press 1995)
  5. Serra, 2007, Proc. European Conf. on Complex Systems, ECCS07, paper 35
  6. Damiani, 2008, WIVACE 2008, 271
  7. Okamoto, 1997, 57, 141
  8. Yacoubi, 2006, Seventh Int. Conf. on Cellular Automata for Research and Industry

Cited by

See all 38

Metadata

Authors
Damiani, C., Serra, R., Villani, M., Kauffman, S. A., & Colacci, A.
Affiliations
  • Department of Social, Cognitive and Quantitative Sciences, Modena and Reggio Emilia University, via Allegri 9, Reggio Emilia, I-42100, Italia
  • Complex Systems Centre, University of Vermont, 200C Farrell Hall, 210 Colchester Ave, Burlington, VT 05405, USA
  • Excellence Environmental Carcinogenesis, Environmental Protection and Health Prevention Agency, Emilia-Romagna, viale Filopanti 22, Bologna, Italia
Venue
IET Systems Biology
Published
2011-03-11
Volume
5
Issue
2
Pages
137-144
ISSN
  • 1751-8849
  • 1751-8857
Cited by
38
References
25
Language
en

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CoChat. (2026). Citation check: Cell–cell interaction and diversity of emergent behaviours. https://app.cochat.ai/papers/10.1049/iet-syb.2010.0039
The paper
Damiani, C., Serra, R., Villani, M., Kauffman, S. A., & Colacci, A. (2011). Cell–cell interaction and diversity of emergent behaviours. IET Systems Biology. https://doi.org/10.1049/iet-syb.2010.0039

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.