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Author Notes:

ahmet.coskun@bme.gatech.edu

S. G., B. U, and J. H. wrote the manuscript. A.F.C. supervised the project.

Figures were created from biorender.com, creativecommons.org, openstreetmap.org and Google Maps.

The authors do not have any conflict of interest.

Subjects:

Research Funding:

A.F.C. holds a Career Award at the Scientific Interface from Burroughs Wellcome Fund and a Bernie-Marcus Early Career Professorship.

Keywords:

  • quantitative biology
  • cell-to-cell interactions
  • sociology of cells
  • multiplex bioimaging
  • spatial patterning

Cellular sociology regulates the hierarchical spatial patterning and organization of cells in organisms

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Journal Title:

Open Biology

Volume:

Volume 10, Number 12

Publisher:

Type of Work:

Article | Final Publisher PDF

Abstract:

Advances in single-cell biotechnology have increasingly revealed interactions of cells with their surroundings, suggesting a cellular society at the microscale. Similarities between cells and humans across multiple hierarchical levels have quantitative inference potential for reaching insights about phenotypic interactions that lead to morphological forms across multiple scales of cellular organization, namely cells, tissues and organs. Here, the functional and structural comparisons between how cells and individuals fundamentally socialize to give rise to the spatial organization are investigated. Integrative experimental cell interaction assays and computational predictive methods shape the understanding of societal perspective in the determination of the cellular interactions that create spatially coordinated forms in biological systems. Emerging quantifiable models from a simpler biological microworld such as bacterial interactions and single-cell organisms are explored, providing a route to model spatio-temporal patterning of morphological structures in humans. This analogical reasoning framework sheds light on structural patterning principles as a result of biological interactions across the cellular scale and up.

Copyright information:

© 2020 The Authors.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/rdf).
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