Literature DB >> 27136241

Molecular-Level Tuning of Cellular Autonomy Controls the Collective Behaviors of Cell Populations.

Théo Maire1, Hyun Youk2.   

Abstract

A rigorous understanding of how multicellular behaviors arise from the actions of single cells requires quantitative frameworks that bridge the gap between genetic circuits, the arrangement of cells in space, and population-level behaviors. Here, we provide such a framework for a ubiquitous class of multicellular systems-namely, "secrete-and-sense cells" that communicate by secreting and sensing a signaling molecule. By using formal, mathematical arguments and introducing the concept of a phenotype diagram, we show how these cells tune their degrees of autonomous and collective behavior to realize distinct single-cell and population-level phenotypes; these phenomena have biological analogs, such as quorum sensing or paracrine signaling. We also define the "entropy of population," a measurement of the number of arrangements that a population of cells can assume, and demonstrate how a decrease in the entropy of population accompanies the formation of ordered spatial patterns. Our conceptual framework ties together diverse systems, including tissues and microbes, with common principles.
Copyright © 2015 Elsevier Inc. All rights reserved.

Year:  2015        PMID: 27136241     DOI: 10.1016/j.cels.2015.10.012

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  15 in total

1.  Collective Chemotaxis through Noisy Multicellular Gradient Sensing.

Authors:  Julien Varennes; Bumsoo Han; Andrew Mugler
Journal:  Biophys J       Date:  2016-08-09       Impact factor: 4.033

2.  Robust, linear correlations between growth rates and β-lactam-mediated lysis rates.

Authors:  Anna J Lee; Shangying Wang; Hannah R Meredith; Bihan Zhuang; Zhuojun Dai; Lingchong You
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-02       Impact factor: 11.205

Review 3.  Cytokine-mediated communication: a quantitative appraisal of immune complexity.

Authors:  Grégoire Altan-Bonnet; Ratnadeep Mukherjee
Journal:  Nat Rev Immunol       Date:  2019-04       Impact factor: 53.106

4.  Ecological feedback in quorum-sensing microbial populations can induce heterogeneous production of autoinducers.

Authors:  Matthias Bauer; Johannes Knebel; Matthias Lechner; Peter Pickl; Erwin Frey
Journal:  Elife       Date:  2017-07-25       Impact factor: 8.140

Review 5.  Advances and challenges in programming pattern formation using living cells.

Authors:  Jia Lu; Emrah Şimşek; Anita Silver; Lingchong You
Journal:  Curr Opin Chem Biol       Date:  2022-04-23       Impact factor: 8.972

6.  A generalizable data-driven multicellular model of pancreatic ductal adenocarcinoma.

Authors:  Boris Aguilar; David L Gibbs; David J Reiss; Mark McConnell; Samuel A Danziger; Andrew Dervan; Matthew Trotter; Douglas Bassett; Robert Hershberg; Alexander V Ratushny; Ilya Shmulevich
Journal:  Gigascience       Date:  2020-07-01       Impact factor: 6.524

7.  Statistical Dynamics of Spatial-Order Formation by Communicating Cells.

Authors:  Eduardo P Olimpio; Yiteng Dang; Hyun Youk
Journal:  iScience       Date:  2018-04-06

Review 8.  Modeling cell-cell communication for immune systems across space and time.

Authors:  Hirad Daneshpour; Hyun Youk
Journal:  Curr Opin Syst Biol       Date:  2019-12

9.  The Conservation of Average Entropy Production Rate in a Model of Signal Transduction: Information Thermodynamics Based on the Fluctuation Theorem.

Authors:  Tatsuaki Tsuruyama
Journal:  Entropy (Basel)       Date:  2018-04-21       Impact factor: 2.524

10.  Cellular Dialogues: Cell-Cell Communication through Diffusible Molecules Yields Dynamic Spatial Patterns.

Authors:  Yiteng Dang; Douwe A J Grundel; Hyun Youk
Journal:  Cell Syst       Date:  2020-01-15       Impact factor: 10.304

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.