Cell Biochemistry and Biophysics

, Volume 65, Issue 2, pp 163–172 | Cite as

Characterizing Cell–Cell Interactions Induced Spatial Organization of Cell Phenotypes: Application to Density-Dependent Protein Nucleocytoplasmic Distribution

Original Paper


Cell–cell interactions play an important role in spatial organization (pattern formation) during the development of multicellular organisms. An understanding of these biological roles requires identifying cell phenotypes that are regulated by cell–cell interactions and characterizing the spatial organizations of the phenotypes. However, conventional methods for assaying cell–cell interactions are mainly applicable at a cell population level. These measures are incapable of elucidating the spatial organizations of the phenotypes, resulting in an incomplete view of cell–cell interactions. To overcome this issue, we developed an automated image-based method to investigate cell–cell interactions based on spatial localizations of cells. We demonstrated this method in cultured cells using cell density-dependent nucleocytoplasmic distribution of β-catenin and aryl hydrocarbon receptor as the phenotype. This novel method was validated by comparing with a conventional population-based method, and proved to be more sensitive and reliable. The application of the method characterized how the phenotypes were spatially organized in a population of cultured cells. We further showed that the spatial organization was governed by cell density and was protein-specific. This automated method is very simple, and will be applicable to study cell–cell interactions in different systems from prokaryotic colonies to multicellular organisms. We envision that the ability to extract and interpret how cell–cell interactions determine the spatial organization of a cell phenotype will provide new insights into biology that may be missed by traditional population-averaged studies.


Aryl hydrocarbon receptor Cell–cell interactions Cell–cell communication Cell density Cell phenotype Nucleocytoplasmic distribution Image analysis Spatial organization β-Catenin 


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Cancer CenterThe First Hospital of Jilin UniversityChangchunPeople’s Republic of China
  2. 2.State Key Laboratory of Respiratory DiseasesGuangzhou, Institute of Respiratory DiseasesGuangzhouPeople’s Republic of China

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