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Configurational fingerprints of multicellular living systems.
Yang, Haiqian; Pegoraro, Adrian F; Han, Yulong; Tang, Wenhui; Abeyaratne, Rohan; Bi, Dapeng; Guo, Ming.
Afiliación
  • Yang H; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Pegoraro AF; Department of Physics, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
  • Han Y; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Tang W; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Abeyaratne R; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Bi D; Department of Physics, Northeastern University, Boston, MA 02115.
  • Guo M; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139; guom@mit.edu.
Proc Natl Acad Sci U S A ; 118(44)2021 11 02.
Article en En | MEDLINE | ID: mdl-34716269
Cells cooperate as groups to achieve structure and function at the tissue level, during which specific material characteristics emerge. Analogous to phase transitions in classical physics, transformations in the material characteristics of multicellular assemblies are essential for a variety of vital processes including morphogenesis, wound healing, and cancer. In this work, we develop configurational fingerprints of particulate and multicellular assemblies and extract volumetric and shear order parameters based on this fingerprint to quantify the system disorder. Theoretically, these two parameters form a complete and unique pair of signatures for the structural disorder of a multicellular system. The evolution of these two order parameters offers a robust and experimentally accessible way to map the phase transitions in expanding cell monolayers and during embryogenesis and invasion of epithelial spheroids.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Especificidad de Órganos / Procesamiento de Imagen Asistido por Computador / Transición de Fase / Fenómenos Biofísicos Límite: Animals / Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Especificidad de Órganos / Procesamiento de Imagen Asistido por Computador / Transición de Fase / Fenómenos Biofísicos Límite: Animals / Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2021 Tipo del documento: Article
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