Literature DB >> 30139877

A systems perspective of heterocellular signaling.

Alan Wells1, H Steven Wiley2.   

Abstract

Signal exchange between different cell types is essential for development and function of multicellular organisms, and its dysregulation is causal in many diseases. Unfortunately, most cell-signaling work has employed single cell types grown under conditions unrelated to their native context. Recent technical developments have started to provide the tools needed to follow signaling between multiple cell types, but gaps in the information they provide have limited their usefulness in building realistic models of heterocellular signaling. Currently, only targeted assays have the necessary sensitivity, selectivity, and spatial resolution to usefully probe heterocellular signaling processes, but these are best used to test specific, mechanistic models. Decades of systems biology research with monocultures has provided a solid foundation for building models of heterocellular signaling, but current models lack a realistic description of regulated proteolysis and the feedback processes triggered within and between cells. Identification and understanding of key regulatory processes in the extracellular environment and of recursive signaling patterns between cells will be essential to building predictive models of heterocellular systems.
© 2018 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society.

Entities:  

Keywords:  extracellular matrix; heterocellular; proteolysis; spatial regulation; systems biology; wound healing

Mesh:

Year:  2018        PMID: 30139877      PMCID: PMC6309864          DOI: 10.1042/EBC20180015

Source DB:  PubMed          Journal:  Essays Biochem        ISSN: 0071-1365            Impact factor:   8.000


  4 in total

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Review 2.  Lung Models to Evaluate Silver Nanoparticles' Toxicity and Their Impact on Human Health.

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Journal:  Nanomaterials (Basel)       Date:  2022-07-05       Impact factor: 5.719

3.  Human physiomimetic model integrating microphysiological systems of the gut, liver, and brain for studies of neurodegenerative diseases.

Authors:  Martin Trapecar; Emile Wogram; Devon Svoboda; Catherine Communal; Attya Omer; Tenzin Lungjangwa; Pierre Sphabmixay; Jason Velazquez; Kirsten Schneider; Charles W Wright; Samuel Mildrum; Austin Hendricks; Stuart Levine; Julien Muffat; Meelim Jasmine Lee; Douglas A Lauffenburger; David Trumper; Rudolf Jaenisch; Linda G Griffith
Journal:  Sci Adv       Date:  2021-01-29       Impact factor: 14.136

4.  Data-driven learning how oncogenic gene expression locally alters heterocellular networks.

Authors:  David J Klinke; Audry Fernandez; Wentao Deng; Atefeh Razazan; Habibolla Latifizadeh; Anika C Pirkey
Journal:  Nat Commun       Date:  2022-04-13       Impact factor: 17.694

  4 in total

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