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Hair Cell Bundles: Flexoelectric Motors of the Inner Ear

Overview of attention for article published in PLOS ONE, April 2009
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Title
Hair Cell Bundles: Flexoelectric Motors of the Inner Ear
Published in
PLOS ONE, April 2009
DOI 10.1371/journal.pone.0005201
Pubmed ID
Authors

Kathryn D. Breneman, William E. Brownell, Richard D. Rabbitt

Abstract

Microvilli (stereocilia) projecting from the apex of hair cells in the inner ear are actively motile structures that feed energy into the vibration of the inner ear and enhance sensitivity to sound. The biophysical mechanism underlying the hair bundle motor is unknown. In this study, we examined a membrane flexoelectric origin for active movements in stereocilia and conclude that it is likely to be an important contributor to mechanical power output by hair bundles. We formulated a realistic biophysical model of stereocilia incorporating stereocilia dimensions, the known flexoelectric coefficient of lipid membranes, mechanical compliance, and fluid drag. Electrical power enters the stereocilia through displacement sensitive ion channels and, due to the small diameter of stereocilia, is converted to useful mechanical power output by flexoelectricity. This motor augments molecular motors associated with the mechanosensitive apparatus itself that have been described previously. The model reveals stereocilia to be highly efficient and fast flexoelectric motors that capture the energy in the extracellular electro-chemical potential of the inner ear to generate mechanical power output. The power analysis provides an explanation for the correlation between stereocilia height and the tonotopic organization of hearing organs. Further, results suggest that flexoelectricity may be essential to the exquisite sensitivity and frequency selectivity of non-mammalian hearing organs at high auditory frequencies, and may contribute to the "cochlear amplifier" in mammals.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Portugal 1 <1%
Turkey 1 <1%
Germany 1 <1%
Spain 1 <1%
Korea, Republic of 1 <1%
Unknown 96 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Researcher 22 21%
Student > Master 10 10%
Other 8 8%
Professor > Associate Professor 6 6%
Other 15 14%
Unknown 19 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 20%
Engineering 17 16%
Materials Science 11 10%
Neuroscience 8 8%
Physics and Astronomy 7 7%
Other 21 20%
Unknown 20 19%