Native gating behavior of ion channels in neurons with null-deviation modeling.

Computational modeling has emerged as an indispensable approach to resolve and predict the intricate interplay among the many ion channels underlying neuronal excitability. However, simulation results using the classic formula-based Hodgkin-Huxley (H-H) model or the superior Markov kinetic model of...

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Autores principales:	Wei Wang, Jie Luo, Panpan Hou, Yimei Yang, Feng Xiao, Ming Yuchi, Anlian Qu, Luyang Wang, Jiuping Ding
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/705d2310992b4f17a741e66cd888aa28
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id	oai:doaj.org-article:705d2310992b4f17a741e66cd888aa28
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spelling	oai:doaj.org-article:705d2310992b4f17a741e66cd888aa282021-11-18T08:49:28ZNative gating behavior of ion channels in neurons with null-deviation modeling.1932-620310.1371/journal.pone.0077105https://doaj.org/article/705d2310992b4f17a741e66cd888aa282013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24204745/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Computational modeling has emerged as an indispensable approach to resolve and predict the intricate interplay among the many ion channels underlying neuronal excitability. However, simulation results using the classic formula-based Hodgkin-Huxley (H-H) model or the superior Markov kinetic model of ion channels often deviate significantly from native cellular signals despite using carefully measured parameters. Here we found that the filters of patch-clamp amplifier not only delayed the signals, but also introduced ringing, and that the residual series resistance in experiments altered the command voltages, which had never been fully eliminated by improving the amplifier itself. To remove all the above errors, a virtual device with the parameters exactly same to that of amplifier was introduced into Markov kinetic modeling so as to establish a null-deviation model. We demonstrate that our novel null-deviation approach fully restores the native gating-kinetics of ion-channels with the data recorded at any condition, and predicts spike waveform and firing patterns clearly distinctive from those without correction.Wei WangJie LuoPanpan HouYimei YangFeng XiaoMing YuchiAnlian QuLuyang WangJiuping DingPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 10, p e77105 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wei Wang Jie Luo Panpan Hou Yimei Yang Feng Xiao Ming Yuchi Anlian Qu Luyang Wang Jiuping Ding Native gating behavior of ion channels in neurons with null-deviation modeling.
description	Computational modeling has emerged as an indispensable approach to resolve and predict the intricate interplay among the many ion channels underlying neuronal excitability. However, simulation results using the classic formula-based Hodgkin-Huxley (H-H) model or the superior Markov kinetic model of ion channels often deviate significantly from native cellular signals despite using carefully measured parameters. Here we found that the filters of patch-clamp amplifier not only delayed the signals, but also introduced ringing, and that the residual series resistance in experiments altered the command voltages, which had never been fully eliminated by improving the amplifier itself. To remove all the above errors, a virtual device with the parameters exactly same to that of amplifier was introduced into Markov kinetic modeling so as to establish a null-deviation model. We demonstrate that our novel null-deviation approach fully restores the native gating-kinetics of ion-channels with the data recorded at any condition, and predicts spike waveform and firing patterns clearly distinctive from those without correction.
format	article
author	Wei Wang Jie Luo Panpan Hou Yimei Yang Feng Xiao Ming Yuchi Anlian Qu Luyang Wang Jiuping Ding
author_facet	Wei Wang Jie Luo Panpan Hou Yimei Yang Feng Xiao Ming Yuchi Anlian Qu Luyang Wang Jiuping Ding
author_sort	Wei Wang
title	Native gating behavior of ion channels in neurons with null-deviation modeling.
title_short	Native gating behavior of ion channels in neurons with null-deviation modeling.
title_full	Native gating behavior of ion channels in neurons with null-deviation modeling.
title_fullStr	Native gating behavior of ion channels in neurons with null-deviation modeling.
title_full_unstemmed	Native gating behavior of ion channels in neurons with null-deviation modeling.
title_sort	native gating behavior of ion channels in neurons with null-deviation modeling.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/705d2310992b4f17a741e66cd888aa28
work_keys_str_mv	AT weiwang nativegatingbehaviorofionchannelsinneuronswithnulldeviationmodeling AT jieluo nativegatingbehaviorofionchannelsinneuronswithnulldeviationmodeling AT panpanhou nativegatingbehaviorofionchannelsinneuronswithnulldeviationmodeling AT yimeiyang nativegatingbehaviorofionchannelsinneuronswithnulldeviationmodeling AT fengxiao nativegatingbehaviorofionchannelsinneuronswithnulldeviationmodeling AT mingyuchi nativegatingbehaviorofionchannelsinneuronswithnulldeviationmodeling AT anlianqu nativegatingbehaviorofionchannelsinneuronswithnulldeviationmodeling AT luyangwang nativegatingbehaviorofionchannelsinneuronswithnulldeviationmodeling AT jiupingding nativegatingbehaviorofionchannelsinneuronswithnulldeviationmodeling
_version_	1718421268097662976

Native gating behavior of ion channels in neurons with null-deviation modeling.

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