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Configurational entropy is an intrinsic driver of tissue structural heterogeneity

Tissues comprise ordered arrangements of cells that can be surprisingly disordered in their details. How the properties of single cells and their microenvironment contribute to the balance between order and disorder at the tissue-scale remains poorly understood. Here, we address this question using...

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Autores principales: Srivastava, Vasudha, Hu, Jennifer L., Garbe, James C., Veytsman, Boris, Shalabi, Sundus F., Yllanes, David, Thomson, Matt, LaBarge, Mark A., Huber, Greg, Gartner, Zev J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327153/
https://www.ncbi.nlm.nih.gov/pubmed/37425903
http://dx.doi.org/10.1101/2023.07.01.546933
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author Srivastava, Vasudha
Hu, Jennifer L.
Garbe, James C.
Veytsman, Boris
Shalabi, Sundus F.
Yllanes, David
Thomson, Matt
LaBarge, Mark A.
Huber, Greg
Gartner, Zev J.
author_facet Srivastava, Vasudha
Hu, Jennifer L.
Garbe, James C.
Veytsman, Boris
Shalabi, Sundus F.
Yllanes, David
Thomson, Matt
LaBarge, Mark A.
Huber, Greg
Gartner, Zev J.
author_sort Srivastava, Vasudha
collection PubMed
description Tissues comprise ordered arrangements of cells that can be surprisingly disordered in their details. How the properties of single cells and their microenvironment contribute to the balance between order and disorder at the tissue-scale remains poorly understood. Here, we address this question using the self-organization of human mammary organoids as a model. We find that organoids behave like a dynamic structural ensemble at the steady state. We apply a maximum entropy formalism to derive the ensemble distribution from three measurable parameters – the degeneracy of structural states, interfacial energy, and tissue activity (the energy associated with positional fluctuations). We link these parameters with the molecular and microenvironmental factors that control them to precisely engineer the ensemble across multiple conditions. Our analysis reveals that the entropy associated with structural degeneracy sets a theoretical limit to tissue order and provides new insight for tissue engineering, development, and our understanding of disease progression.
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spelling pubmed-103271532023-07-08 Configurational entropy is an intrinsic driver of tissue structural heterogeneity Srivastava, Vasudha Hu, Jennifer L. Garbe, James C. Veytsman, Boris Shalabi, Sundus F. Yllanes, David Thomson, Matt LaBarge, Mark A. Huber, Greg Gartner, Zev J. bioRxiv Article Tissues comprise ordered arrangements of cells that can be surprisingly disordered in their details. How the properties of single cells and their microenvironment contribute to the balance between order and disorder at the tissue-scale remains poorly understood. Here, we address this question using the self-organization of human mammary organoids as a model. We find that organoids behave like a dynamic structural ensemble at the steady state. We apply a maximum entropy formalism to derive the ensemble distribution from three measurable parameters – the degeneracy of structural states, interfacial energy, and tissue activity (the energy associated with positional fluctuations). We link these parameters with the molecular and microenvironmental factors that control them to precisely engineer the ensemble across multiple conditions. Our analysis reveals that the entropy associated with structural degeneracy sets a theoretical limit to tissue order and provides new insight for tissue engineering, development, and our understanding of disease progression. Cold Spring Harbor Laboratory 2023-07-02 /pmc/articles/PMC10327153/ /pubmed/37425903 http://dx.doi.org/10.1101/2023.07.01.546933 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Srivastava, Vasudha
Hu, Jennifer L.
Garbe, James C.
Veytsman, Boris
Shalabi, Sundus F.
Yllanes, David
Thomson, Matt
LaBarge, Mark A.
Huber, Greg
Gartner, Zev J.
Configurational entropy is an intrinsic driver of tissue structural heterogeneity
title Configurational entropy is an intrinsic driver of tissue structural heterogeneity
title_full Configurational entropy is an intrinsic driver of tissue structural heterogeneity
title_fullStr Configurational entropy is an intrinsic driver of tissue structural heterogeneity
title_full_unstemmed Configurational entropy is an intrinsic driver of tissue structural heterogeneity
title_short Configurational entropy is an intrinsic driver of tissue structural heterogeneity
title_sort configurational entropy is an intrinsic driver of tissue structural heterogeneity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327153/
https://www.ncbi.nlm.nih.gov/pubmed/37425903
http://dx.doi.org/10.1101/2023.07.01.546933
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