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      Epidermal Merkel Cells are Mechanosensory Cells that Tune Mammalian Touch Receptors

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          Abstract

          Touch submodalities, such as flutter and pressure, are mediated by somatosensory afferents whose terminal specializations extract tactile features and encode them as action potential trains with unique activity patterns 1 . Whether non-neuronal cells tune touch receptors through active or passive mechanisms is debated. Terminal specializations are thought to function as passive mechanical filters analogous to the cochlea’s basilar membrane, which deconstructs complex sounds into tones that are transduced by mechanosensory hair cells. The model that cutaneous specializations are merely passive has been recently challenged because epidermal cells express sensory ion channels and neurotransmitters 2, 3 ; however, direct evidence that epidermal cells excite tactile afferents is lacking. Epidermal Merkel cells display features of sensory receptor cells 4, 5 and make “synapse-like” contacts 5, 6 with slowly adapting type I (SAI) afferents 79 . These complexes, which encode spatial features such as edges and texture 1 , localize to skin regions with high tactile acuity, including whisker follicles, fingertips and touch domes. Here, we show that Merkel cells actively participate in touch reception in mice. First, Merkel cells display fast, touch-evoked mechanotransduction currents. Second, optogenetic approaches in intact skin show that Merkel cells are both necessary and sufficient for sustained action-potential firing in tactile afferents. Third, recordings from touch-dome afferents lacking Merkel cells demonstrate that Merkel cells confer high-frequency responses to dynamic stimuli and enable sustained firing. These data are the first to directly demonstrate a functional, excitatory connection between epidermal cells and sensory neurons. Together, these findings indicate that Merkel cells actively tune mechanosensory responses to facilitate high spatio-temporal acuity. Moreover, our results suggest a division of labour in the Merkel cell-neurite complex: Merkel cells signal static stimuli, such as pressure, whereas sensory afferents transduce dynamic stimuli, such as moving gratings. Thus, the Merkel-cell neurite complex is unique sensory structure with two receptor cell types specialized for distinct elements of discriminative touch.

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          Most cited references35

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          A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex.

          A key obstacle to understanding neural circuits in the cerebral cortex is that of unraveling the diversity of GABAergic interneurons. This diversity poses general questions for neural circuit analysis: how are these interneuron cell types generated and assembled into stereotyped local circuits and how do they differentially contribute to circuit operations that underlie cortical functions ranging from perception to cognition? Using genetic engineering in mice, we have generated and characterized approximately 20 Cre and inducible CreER knockin driver lines that reliably target major classes and lineages of GABAergic neurons. More select populations are captured by intersection of Cre and Flp drivers. Genetic targeting allows reliable identification, monitoring, and manipulation of cortical GABAergic neurons, thereby enabling a systematic and comprehensive analysis from cell fate specification, migration, and connectivity, to their functions in network dynamics and behavior. As such, this approach will accelerate the study of GABAergic circuits throughout the mammalian brain. Copyright © 2011 Elsevier Inc. All rights reserved.
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            Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.

            This study introduces a new method for detecting and sorting spikes from multiunit recordings. The method combines the wavelet transform, which localizes distinctive spike features, with superparamagnetic clustering, which allows automatic classification of the data without assumptions such as low variance or gaussian distributions. Moreover, an improved method for setting amplitude thresholds for spike detection is proposed. We describe several criteria for implementation that render the algorithm unsupervised and fast. The algorithm is compared to other conventional methods using several simulated data sets whose characteristics closely resemble those of in vivo recordings. For these data sets, we found that the proposed algorithm outperformed conventional methods.
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              The roles and functions of cutaneous mechanoreceptors.

              K. Johnson (2001)
              Combined psychophysical and neurophysiological research has resulted in a relatively complete picture of the neural mechanisms of tactile perception. The results support the idea that each of the four mechanoreceptive afferent systems innervating the hand serves a distinctly different perceptual function, and that tactile perception can be understood as the sum of these functions. Furthermore, the receptors in each of those systems seem to be specialized for their assigned perceptual function.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                28 May 2014
                06 April 2014
                29 May 2014
                29 November 2014
                : 509
                : 7502
                : 617-621
                Affiliations
                [a ]Department of Dermatology, Columbia University, New York, NY 10032
                [b ]Graduate School of System Design and Management, Keio University, Yokohama, JP
                [c ]Department of Neuroscience, Baylor College of Medicine, Houston, TX 77006
                [d ]Howard Hughes Medical Institute, Molecular and Cellular Neuroscience, The Scripps Research Institute, La Jolla CA 92037 USA
                [e ]Genomic Institute of the Novartis Research Foundation, San Diego, CA 92121 USA
                [f ]Program in Neurobiology & Behavior, Columbia University, New York, NY 10032
                [g ]Department of Physiology & Cellular Biophysics, Columbia University, New York, NY 10032 USA
                Author notes
                []Correspondence to: Ellen A. Lumpkin, Ph.D., 1150 St. Nicholas Avenue, room 302B, New York, NY 10032, 212.851.4830, eal2166@ 123456columbia.edu
                [*]

                Equal contribution

                Article
                NIHMS575618
                10.1038/nature13250
                4097312
                24717432
                b1f893c6-1ec9-4ab6-97e6-47c5a9a18951
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