Published February 9, 2023 | Version v1
Dataset Open

Data for: The energetics of rapid mechanotransduction

Authors/Creators

  • 1. Duke University

Description

Cells throughout the human body detect mechanical forces. While it is known that the rapid (millisecond) detection of mechanical forces is mediated by force-gated ion channels, a detailed quantitative understanding of cells as sensors of mechanical energy is still lacking. Here, we combine atomic force microscopy with patch-clamp electrophysiology to determine the physical limits of cells expressing the force-gated ion channels Piezo1, Piezo2, TREK1, and TRAAK. We find that, depending on the ion channel expressed, cells can function either as proportional or non-linear transducers of mechanical energy, detect mechanical energies as little as ~100 fJ, and with a resolution of up to ~1 fJ. These specific energetic values depend on cell size, channel density, and cytoskeletal architecture. We also make the surprising discovery that cells can transduce forces either nearly instantaneously (<1 ms), or with substantial time delay (~10 ms). Using a chimeric experimental approach and simulations we show how such delays can emerge from channel-intrinsic properties and the slow diffusion of tension in the membrane. Overall, our experiments reveal the capabilities and limits of cellular mechanosensing and provide insights into molecular mechanisms that different cell types may employ to specialize for their distinct physiological roles.

Notes

All data was preprocessed and summarized using a package developed in Python. The full reproducible environment along with installation and usage instructions can be found at EphysAFM.

Funding provided by: NIH*
Crossref Funder Registry ID:
Award Number: 5R01NS110552

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2022_pnas.zip

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