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Dynamic Response of Model Lipid Membranes to Ultrasonic Radiation Force

Overview of attention for article published in PLOS ONE, October 2013
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Title
Dynamic Response of Model Lipid Membranes to Ultrasonic Radiation Force
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077115
Pubmed ID
Authors

Martin Loynaz Prieto, Ömer Oralkan, Butrus T. Khuri-Yakub, Merritt C. Maduke

Abstract

Low-intensity ultrasound can modulate action potential firing in neurons in vitro and in vivo. It has been suggested that this effect is mediated by mechanical interactions of ultrasound with neural cell membranes. We investigated whether these proposed interactions could be reproduced for further study in a synthetic lipid bilayer system. We measured the response of protein-free model membranes to low-intensity ultrasound using electrophysiology and laser Doppler vibrometry. We find that ultrasonic radiation force causes oscillation and displacement of lipid membranes, resulting in small (<1%) changes in membrane area and capacitance. Under voltage-clamp, the changes in capacitance manifest as capacitive currents with an exponentially decaying sinusoidal time course. The membrane oscillation can be modeled as a fluid dynamic response to a step change in pressure caused by ultrasonic radiation force, which disrupts the balance of forces between bilayer tension and hydrostatic pressure. We also investigated the origin of the radiation force acting on the bilayer. Part of the radiation force results from the reflection of the ultrasound from the solution/air interface above the bilayer (an effect that is specific to our experimental configuration) but part appears to reflect a direct interaction of ultrasound with the bilayer, related to either acoustic streaming or scattering of sound by the bilayer. Based on these results, we conclude that synthetic lipid bilayers can be used to study the effects of ultrasound on cell membranes and membrane proteins.

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Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 130 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 34%
Student > Master 17 13%
Researcher 16 12%
Professor > Associate Professor 9 7%
Student > Doctoral Student 7 5%
Other 18 14%
Unknown 21 16%
Readers by discipline Count As %
Engineering 39 29%
Neuroscience 25 19%
Agricultural and Biological Sciences 14 11%
Biochemistry, Genetics and Molecular Biology 11 8%
Physics and Astronomy 6 5%
Other 13 10%
Unknown 25 19%