4.3 Article

The speed of the hair cell mechanotransducer channel revealed by fluctuation analysis

Journal

JOURNAL OF GENERAL PHYSIOLOGY
Volume 153, Issue 10, Pages -

Publisher

ROCKEFELLER UNIV PRESS
DOI: 10.1085/jgp.202112959

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Funding

  1. National Institute on Deafness and Other Communication Disorders [R01 DC01362, R01 DC015439, R01 DC014685]

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This study reexamined the MET channel conductance using two different methods and found that the channel conductance determined from noise analysis was slightly lower than that from single-channel event recordings. Modeling also estimated the activation time constant of the channel for the first time, and it was found that the channel conductance was reduced in a new deafness mutant. The results suggest that noise analysis may underestimate MET channel amplitude, better characterized from recordings of single-channel events.
Although mechanoelectrical transducer (MET) channels have been extensively studied, uncertainty persists about their molecular architecture and single-channel conductance. We made electrical measurements from mouse cochlear outer hair cells (OHCs) to reexamine the MET channel conductance comparing two different methods. Analysis of fluctuations in the macroscopic currents showed that the channel conductance in apical OHCs determined from nonstationary noise analysis was about half that of single-channel events recorded after tip link destruction. We hypothesized that this difference reflects a bandwidth limitation in the noise analysis, which we tested by simulations of stochastic fluctuations in modeled channels. Modeling indicated that the unitary conductance depended on the relative values of the channel activation time constant and the applied low-pass filter frequency. The modeling enabled the activation time constant of the channel to be estimated for the first time, yielding a value of only a few microseconds. We found that the channel conductance, assayed with both noise and recording of single-channel events, was reduced by a third in a new deafness mutant, Tmc1 p.D528N. Our results indicate that noise analysis is likely to underestimate MET channel amplitude, which is better characterized from recordings of singlechannel events.

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