3D architecture and a bicellular mechanism of touch detection in mechanosensory corpuscle

Author:

Nikolaev Yury A.1ORCID,Ziolkowski Luke H.1ORCID,Pang Song2ORCID,Li Wei-Ping2,Feketa Viktor V.13ORCID,Xu C. Shan2ORCID,Gracheva Elena O.1345ORCID,Bagriantsev Sviatoslav N.1ORCID

Affiliation:

1. Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT 06510, USA.

2. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.

3. Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA.

4. Program in Cellular Neuroscience, Neurodegeneration and Repair, Yale University School of Medicine, New Haven, CT 06510, USA.

5. Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA.

Abstract

Mechanosensory corpuscles detect transient touch and vibration in the skin of vertebrates, enabling precise sensation of the physical environment. The corpuscle contains a mechanoreceptor afferent surrounded by lamellar cells (LCs), but corpuscular ultrastructure and the role of LCs in touch detection are unknown. We report the three-dimensional architecture of the avian Meissner (Grandry) corpuscle acquired using enhanced focused ion beam scanning electron microscopy and machine learning-based segmentation. The corpuscle comprises a stack of LCs interdigitated with terminal endings from two afferents. Simultaneous electrophysiological recordings from both cell types revealed that mechanosensitive LCs use calcium influx to trigger action potentials in the afferent and thus serve as physiological touch sensors in the skin. The elaborate architecture and bicellular sensory mechanism in the corpuscles, which comprises the afferents and LCs, create the capacity for nuanced encoding of the submodalities of touch.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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