Literature DB >> 30260315

Biophysical models reveal the relative importance of transporter proteins and impermeant anions in chloride homeostasis.

Christopher B Currin1,2,3, Richard J Burman1,2,3, Kira M Düsterwald1,2,3, Colin J Akerman4, Alan R Kay5, Joseph V Raimondo1,2,3.   

Abstract

Fast synaptic inhibition in the nervous system depends on the transmembrane flux of Cl- ions based on the neuronal Cl- driving force. Established theories regarding the determinants of Cl- driving force have recently been questioned. Here, we present biophysical models of Cl- homeostasis using the pump-leak model. Using numerical and novel analytic solutions, we demonstrate that the Na+/K+-ATPase, ion conductances, impermeant anions, electrodiffusion, water fluxes and cation-chloride cotransporters (CCCs) play roles in setting the Cl- driving force. Our models, together with experimental validation, show that while impermeant anions can contribute to setting [Cl-]i in neurons, they have a negligible effect on the driving force for Cl- locally and cell-wide. In contrast, we demonstrate that CCCs are well-suited for modulating Cl- driving force and hence inhibitory signaling in neurons. Our findings reconcile recent experimental findings and provide a framework for understanding the interplay of different chloride regulatory processes in neurons.
© 2018, Düsterwald et al.

Entities:  

Keywords:  KCC2; NaK-ATPase; cation-chloride cotransport; chloride; computational biology; impermeant anions; mouse; neuroscience; rat; synaptic inhibition; systems biology

Mesh:

Substances:

Year:  2018        PMID: 30260315      PMCID: PMC6200395          DOI: 10.7554/eLife.39575

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  72 in total

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5.  Biophysical models reveal the relative importance of transporter proteins and impermeant anions in chloride homeostasis.

Authors:  Christopher B Currin; Richard J Burman; Kira M Düsterwald; Colin J Akerman; Alan R Kay; Joseph V Raimondo
Journal:  Elife       Date:  2018-09-27       Impact factor: 8.140

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