Unknown

Dataset Information

0

Tissue mechanics govern the rapidly adapting and symmetrical response to touch.


ABSTRACT: Interactions with the physical world are deeply rooted in our sense of touch and depend on ensembles of somatosensory neurons that invade and innervate the skin. Somatosensory neurons convert the mechanical energy delivered in each touch into excitatory membrane currents carried by mechanoelectrical transduction (MeT) channels. Pacinian corpuscles in mammals and touch receptor neurons (TRNs) in Caenorhabditis elegans nematodes are embedded in distinctive specialized accessory structures, have low thresholds for activation, and adapt rapidly to the application and removal of mechanical loads. Recently, many of the protein partners that form native MeT channels in these and other somatosensory neurons have been identified. However, the biophysical mechanism of symmetric responses to the onset and offset of mechanical stimulation has eluded understanding for decades. Moreover, it is not known whether applied force or the resulting indentation activate MeT channels. Here, we introduce a system for simultaneously recording membrane current, applied force, and the resulting indentation in living C. elegans (Feedback-controlled Application of mechanical Loads Combined with in vivo Neurophysiology, FALCON) and use it, together with modeling, to study these questions. We show that current amplitude increases with indentation, not force, and that fast stimuli evoke larger currents than slower stimuli producing the same or smaller indentation. A model linking body indentation to MeT channel activation through an embedded viscoelastic element reproduces the experimental findings, predicts that the TRNs function as a band-pass mechanical filter, and provides a general mechanism for symmetrical and rapidly adapting MeT channel activation relevant to somatosensory neurons across phyla and submodalities.

SUBMITTER: Eastwood AL 

PROVIDER: S-EPMC4687575 | biostudies-other | 2015 Dec

REPOSITORIES: biostudies-other

Similar Datasets

| S-EPMC3545819 | biostudies-literature
| S-EPMC3813833 | biostudies-other
| S-EPMC5683759 | biostudies-literature
| S-EPMC5347635 | biostudies-literature
| S-EPMC9757745 | biostudies-literature
| S-EPMC6809594 | biostudies-literature
| S-EPMC6430373 | biostudies-literature
| S-EPMC6855213 | biostudies-literature
| S-EPMC2813518 | biostudies-literature
| S-EPMC6901984 | biostudies-literature