Oikonomou E, Gruber T, Achanta RC, Höller S, Alzheimer C, Wellein G, Huth T (2023)
Publication Language: English
Publication Status: Published
Publication Type: Journal article
Publication year: 2023
DOI: 10.1016/j.bpj.2023.02.023
Single-channel patch-clamp recordings allow observing the action of a single protein complex in real time and hence the deduction of the underlying conformational changes in the ion-channel protein. Commonly, recordings are modeled using hidden Markov chains, connecting open and closed states in the experimental data with protein conformations. The rates between states denote transition probabilities that could be modified by membrane voltage or ligand binding. Modeling algorithms have to deal with limited recording bandwidth and a very noisy background. It was previously shown that the fit of two-dimensional (2D)-dwell-time histograms with simulations is very robust in that regard. Errors introduced by the low-pass filter or noise cancel out to a certain degree when comparing experimental and simulated data. In addition, the topology of models (that is, the chain of open and closed states) could be inferred from 2D-histograms. However, the 2D-fit was never applied to its full potential. A major reason may be the extremely time-consuming and often unreliable fitting process, due to the stochastic variability in the simulations. We have now solved these issues by introducing a message-passing interface (MPI) allowing massive parallel computing on a high-performance computing (HPC) cluster and obtaining ensemble solutions. With ensembles, we have demonstrated how important ranked solutions are for difficult tasks related to a noisy background, fast gating events beyond the corner frequency of the low-pass filter, and topology estimation of the underlying Markov model. Finally, we have shown that, by combining the objective function of the 2D-fit with the deviation of the current amplitude distributions, automatic determination of the current level of the conducting state is possible, even with an apparent current reduction due to low-pass filtering. Making use of an HPC cluster, the power of 2D-dwell-time analysis can be used to its fullest with minor input of the experimenter.
APA:
Oikonomou, E., Gruber, T., Achanta, R.C., Höller, S., Alzheimer, C., Wellein, G., & Huth, T. (2023). 2D-dwell-time analysis with simulations of ion-channel gating using high-performance computing. Biophysical Journal. https://doi.org/10.1016/j.bpj.2023.02.023
MLA:
Oikonomou, Efthymios, et al. "2D-dwell-time analysis with simulations of ion-channel gating using high-performance computing." Biophysical Journal (2023).
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