Literature DB >> 34265520

Come together: On-chip bioelectric wound closure.

Tom J Zajdel1, Gawoon Shim1, Daniel J Cohen2.   

Abstract

There is a growing interest in bioelectric wound treatment and electrotaxis, the process by which cells detect an electric field and orient their migration along its direction, has emerged as a potential cornerstone of the endogenous wound healing response. Despite recognition of the importance of electrotaxis in wound healing, no experimental demonstration to date has shown that the actual closing of a wound can be accelerated solely by the electrotaxis response itself, and in vivo systems are too complex to resolve cell migration from other healing stages such as proliferation and inflammation. This uncertainty has led to a lack of standardization between stimulation methods, model systems, and electrode technology required for device development. In this paper, we present a 'healing-on-chip' approach that is a standardized, low-cost, model for investigating electrically accelerated wound healing. Our device provides a biomimetic convergent field geometry that more closely resembles actual wound fields. We validate this device by using electrical stimulation to close a 1.5 mm gap between two large (30 mm2) layers of primary skin keratinocyte to completely heal the gap twice as quickly as in an unstimulated tissue. This demonstration proves that convergent electrotaxis is both possible and can accelerate healing and offers an accessible 'healing-on-a-chip' platform to explore future bioelectric interfaces.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioelectricity; Bioengineering; Cell migration; Electrotaxis; Wound healing

Year:  2021        PMID: 34265520     DOI: 10.1016/j.bios.2021.113479

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  4 in total

1.  Short-term bioelectric stimulation of collective cell migration in tissues reprograms long-term supracellular dynamics.

Authors:  Abraham E Wolf; Matthew A Heinrich; Isaac B Breinyn; Tom J Zajdel; Daniel J Cohen
Journal:  PNAS Nexus       Date:  2022-03-02

2.  A machine learning based model accurately predicts cellular response to electric fields in multiple cell types.

Authors:  Brett Sargent; Mohammad Jafari; Giovanny Marquez; Abijeet Singh Mehta; Yao-Hui Sun; Hsin-Ya Yang; Kan Zhu; Roslyn Rivkah Isseroff; Min Zhao; Marcella Gomez
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

3.  Propagation dynamics of electrotactic motility in large epithelial cell sheets.

Authors:  Yan Zhang; Guoqing Xu; Jiandong Wu; Rachel M Lee; Zijie Zhu; Yaohui Sun; Kan Zhu; Wolfgang Losert; Simon Liao; Gong Zhang; Tingrui Pan; Zhengping Xu; Francis Lin; Min Zhao
Journal:  iScience       Date:  2022-09-13

4.  Overriding native cell coordination enhances external programming of collective cell migration.

Authors:  Gawoon Shim; Danelle Devenport; Daniel J Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-20       Impact factor: 11.205

  4 in total

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