Literature DB >> 27288542

Human T cells in silico: Modelling their electrophysiological behaviour in health and disease.

Petra Ehling1, Patrick Meuth2, Paul Eichinger3, Alexander M Herrmann2, Stefan Bittner4, Matthias Pawlowski5, Susann Pankratz2, Michael Herty6, Thomas Budde7, Sven G Meuth2.   

Abstract

Although various types of ion channels are known to have an impact on human T cell effector functions, their exact mechanisms of influence are still poorly understood. The patch clamp technique is a well-established method for the investigation of ion channels in neurons and T cells. However, small cell sizes and limited selectivity of pharmacological blockers restrict the value of this experimental approach. Building a realistic T cell computer model therefore can help to overcome these kinds of limitations as well as reduce the overall experimental effort. The computer model introduced here was fed off ion channel parameters from literature and new experimental data. It is capable of simulating the electrophysiological behaviour of resting and activated human CD4(+) T cells under basal conditions and during extracellular acidification. The latter allows for the very first time to assess the electrophysiological consequences of tissue acidosis accompanying most forms of inflammation.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Immune system; Inflammation; Ion channels; Patch clamp recordings; T cell simulation; Tissue acidosis

Mesh:

Substances:

Year:  2016        PMID: 27288542     DOI: 10.1016/j.jtbi.2016.06.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

1.  High-throughput electrophysiological assays for voltage gated ion channels using SyncroPatch 768PE.

Authors:  Tianbo Li; Gang Lu; Eugene Y Chiang; Tania Chernov-Rogan; Jane L Grogan; Jun Chen
Journal:  PLoS One       Date:  2017-07-06       Impact factor: 3.240

2.  Potassium channels Kv1.3 and KCa3.1 cooperatively and compensatorily regulate antigen-specific memory T cell functions.

Authors:  Eugene Y Chiang; Tianbo Li; Surinder Jeet; Ivan Peng; Juan Zhang; Wyne P Lee; Jason DeVoss; Patrick Caplazi; Jun Chen; Søren Warming; David H Hackos; Susmith Mukund; Christopher M Koth; Jane L Grogan
Journal:  Nat Commun       Date:  2017-03-01       Impact factor: 14.919

3.  A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.

Authors:  Sonja Langthaler; Theresa Rienmüller; Susanne Scheruebel; Brigitte Pelzmann; Niroj Shrestha; Klaus Zorn-Pauly; Wolfgang Schreibmayer; Andrew Koff; Christian Baumgartner
Journal:  PLoS Comput Biol       Date:  2021-06-22       Impact factor: 4.779

  3 in total

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