Literature DB >> 11322511

The galvanotaxis response mechanism of keratinocytes can be modeled as a proportional controller.

H Gruler1, R Nuccitelli.   

Abstract

Human keratinocytes actively crawl in vitro when plated onto a collagen-coated glass substrate, and their direction of migration is totally random. In response to an imposed DC electric field, they migrate asymmetrically, moving mostly toward the negative pole of the field. The authors have analyzed experimental data reported by others to determine the basic characteristics of the cellular response machinery in these keratinocytes. This movement can be completely described mathematically using two independent variables: the speed, V, and the angle of migration, phi. The authors propose a model in which a steerer (controller without feedback) is responsible for determining the speed, and an automatic controller (controller with feedback) is responsible for determining the angle of migration. The torque to rotate is induced by a deterministic cellular signal and a stochastic cellular signal. The cellular machine characteristics are determined as follows: The angular dependence of the detection unit is sin phi; the detection unit detects the guiding field in a linear fashion; the cellular reaction unit can be described by a constant; the chemical amplifier, as well as the cellular motor work, is linear; the cellular characteristic time, which quantifies the cellular stochastic signal, is 50 min.

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Year:  2000        PMID: 11322511     DOI: 10.1385/CBB:33:1:33

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  8 in total

1.  Stochastic models for cell motion and taxis.

Authors:  Edward L Ionides; Kathy S Fang; R Rivkah Isseroff; George F Oster
Journal:  J Math Biol       Date:  2003-08-06       Impact factor: 2.259

2.  Cell orientation by a microgrooved substrate can be predicted by automatic control theory.

Authors:  Ralf Kemkemer; Simon Jungbauer; Dieter Kaufmann; Hans Gruler
Journal:  Biophys J       Date:  2006-03-31       Impact factor: 4.033

3.  Collective cell migration has distinct directionality and speed dynamics.

Authors:  Yan Zhang; Guoqing Xu; Rachel M Lee; Zijie Zhu; Jiandong Wu; Simon Liao; Gong Zhang; Yaohui Sun; Alex Mogilner; Wolfgang Losert; Tingrui Pan; Francis Lin; Zhengping Xu; Min Zhao
Journal:  Cell Mol Life Sci       Date:  2017-06-13       Impact factor: 9.261

4.  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

5.  Imaging the electric field associated with mouse and human skin wounds.

Authors:  Richard Nuccitelli; Pamela Nuccitelli; Samdeo Ramlatchan; Richard Sanger; Peter J S Smith
Journal:  Wound Repair Regen       Date:  2008 May-Jun       Impact factor: 3.617

6.  Increased noise as an effect of haploinsufficiency of the tumor-suppressor gene neurofibromatosis type 1 in vitro.

Authors:  Ralf Kemkemer; Stephanie Schrank; Walther Vogel; Hans Gruler; Dieter Kaufmann
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-04       Impact factor: 11.205

7.  Feedback-controlled dynamics of neuronal cells on directional surfaces.

Authors:  Marc Descoteaux; Jacob P Sunnerberg; Donovan D Brady; Cristian Staii
Journal:  Biophys J       Date:  2022-01-31       Impact factor: 4.033

8.  Intermediate filament reorganization dynamically influences cancer cell alignment and migration.

Authors:  Andrew W Holle; Melih Kalafat; Adria Sales Ramos; Thomas Seufferlein; Ralf Kemkemer; Joachim P Spatz
Journal:  Sci Rep       Date:  2017-03-24       Impact factor: 4.379

  8 in total

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