Estimation of ion channel kinetics from fluctuations of macroscopic currents
For single channel recordings, the maximum likelihood estimation (MLE) of kinetic rates and conductance is well established. A direct extrapolation of this method to macroscopic currents is computationally prohibitive: it scales as a power of the number of channels. An approximated MLE that ignored...
| Autor principal: | |
|---|---|
| Formato: | JOUR |
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00063495_v93_n1_p74_Moffatt |
| Aporte de: |
| id |
todo:paper_00063495_v93_n1_p74_Moffatt |
|---|---|
| record_format |
dspace |
| spelling |
todo:paper_00063495_v93_n1_p74_Moffatt2023-10-03T14:05:08Z Estimation of ion channel kinetics from fluctuations of macroscopic currents Moffatt, L. ion channel accuracy algorithm analytical error article correlation analysis ion conductance kinetics maximum likelihood method reliability simulation stimulation white noise For single channel recordings, the maximum likelihood estimation (MLE) of kinetic rates and conductance is well established. A direct extrapolation of this method to macroscopic currents is computationally prohibitive: it scales as a power of the number of channels. An approximated MLE that ignored the local time correlation of the data has been shown to provide estimates of the kinetic parameters. In this article, an improved approximated MLE that takes into account the local time correlation is proposed. This method estimates the channel kinetics using both the time course and the random fluctuations of the macroscopic current generated by a homogeneous population of ion channels under white noise. It allows arbitrary kinetic models and stimulation protocols. The application of the proposed algorithm to simulated data from a simple three-state model on nonstationary conditions showed reliable estimates of all the kinetic constants, the conductance and the number of channels, and reliable values for the standard error of those estimates. Compared to the previous approximated MLE, it reduces by a factor of 10 the amount of data needed to secure a given accuracy and it can even determine the kinetic rates in macroscopic stationary conditions. © 2007 by the Biophysical Society. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00063495_v93_n1_p74_Moffatt |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
ion channel accuracy algorithm analytical error article correlation analysis ion conductance kinetics maximum likelihood method reliability simulation stimulation white noise |
| spellingShingle |
ion channel accuracy algorithm analytical error article correlation analysis ion conductance kinetics maximum likelihood method reliability simulation stimulation white noise Moffatt, L. Estimation of ion channel kinetics from fluctuations of macroscopic currents |
| topic_facet |
ion channel accuracy algorithm analytical error article correlation analysis ion conductance kinetics maximum likelihood method reliability simulation stimulation white noise |
| description |
For single channel recordings, the maximum likelihood estimation (MLE) of kinetic rates and conductance is well established. A direct extrapolation of this method to macroscopic currents is computationally prohibitive: it scales as a power of the number of channels. An approximated MLE that ignored the local time correlation of the data has been shown to provide estimates of the kinetic parameters. In this article, an improved approximated MLE that takes into account the local time correlation is proposed. This method estimates the channel kinetics using both the time course and the random fluctuations of the macroscopic current generated by a homogeneous population of ion channels under white noise. It allows arbitrary kinetic models and stimulation protocols. The application of the proposed algorithm to simulated data from a simple three-state model on nonstationary conditions showed reliable estimates of all the kinetic constants, the conductance and the number of channels, and reliable values for the standard error of those estimates. Compared to the previous approximated MLE, it reduces by a factor of 10 the amount of data needed to secure a given accuracy and it can even determine the kinetic rates in macroscopic stationary conditions. © 2007 by the Biophysical Society. |
| format |
JOUR |
| author |
Moffatt, L. |
| author_facet |
Moffatt, L. |
| author_sort |
Moffatt, L. |
| title |
Estimation of ion channel kinetics from fluctuations of macroscopic currents |
| title_short |
Estimation of ion channel kinetics from fluctuations of macroscopic currents |
| title_full |
Estimation of ion channel kinetics from fluctuations of macroscopic currents |
| title_fullStr |
Estimation of ion channel kinetics from fluctuations of macroscopic currents |
| title_full_unstemmed |
Estimation of ion channel kinetics from fluctuations of macroscopic currents |
| title_sort |
estimation of ion channel kinetics from fluctuations of macroscopic currents |
| url |
http://hdl.handle.net/20.500.12110/paper_00063495_v93_n1_p74_Moffatt |
| work_keys_str_mv |
AT moffattl estimationofionchannelkineticsfromfluctuationsofmacroscopiccurrents |
| _version_ |
1807320632245878784 |