The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform
Peter V Kharchenko - One of the best experts on this subject based on the ideXlab platform.
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unbiased classification of sensory neuron types by large scale single cell rna sequencing
Nature Neuroscience, 2015Co-Authors: Dmitry Usoskin, Alessandro Furlan, Saiful Islam, Hind Abdo, Peter Lonnerberg, Jens Hjerlingleffler, Jesper Z Haeggstrom, Olga Kharchenko, Peter V Kharchenko, Sten LinnarssonAbstract:Based on single cell RNA-sequencing of 622 adult mouse sensory neurons, Usoskin et al. performed unbiased classification to identify the cellular and molecular complexity underlying Somatic Sensation. Eleven different subtypes were identified, including some previously unknown populations such as a new class of neuron which may be sensitive to inflammatory itch.
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unbiased classification of sensory neuron types by large scale single cell rna sequencing
Nature Neuroscience, 2015Co-Authors: Dmitry Usoskin, Alessandro Furlan, Saiful Islam, Hind Abdo, Peter Lonnerberg, Jens Hjerlingleffler, Jesper Z Haeggstrom, Olga Kharchenko, Daohua Lou, Peter V KharchenkoAbstract:The primary sensory system requires the integrated function of multiple cell types, although its full complexity remains unclear. We used comprehensive transcriptome analysis of 622 single mouse neurons to classify them in an unbiased manner, independent of any a priori knowledge of sensory subtypes. Our results reveal eleven types: three distinct low-threshold mechanoreceptive neurons, two proprioceptive, and six principal types of thermosensitive, itch sensitive, type C low-threshold mechanosensitive and nociceptive neurons with markedly different molecular and operational properties. Confirming previously anticipated major neuronal types, our results also classify and provide markers for new, functionally distinct subtypes. For example, our results suggest that itching during inflammatory skin diseases such as atopic dermatitis is linked to a distinct itch-generating type. We demonstrate single-cell RNA-seq as an effective strategy for dissecting sensory responsive cells into distinct neuronal types. The resulting catalog illustrates the diversity of sensory types and the cellular complexity underlying Somatic Sensation.
Dmitry Usoskin - One of the best experts on this subject based on the ideXlab platform.
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unbiased classification of sensory neuron types by large scale single cell rna sequencing
Nature Neuroscience, 2015Co-Authors: Dmitry Usoskin, Alessandro Furlan, Saiful Islam, Hind Abdo, Peter Lonnerberg, Jens Hjerlingleffler, Jesper Z Haeggstrom, Olga Kharchenko, Peter V Kharchenko, Sten LinnarssonAbstract:Based on single cell RNA-sequencing of 622 adult mouse sensory neurons, Usoskin et al. performed unbiased classification to identify the cellular and molecular complexity underlying Somatic Sensation. Eleven different subtypes were identified, including some previously unknown populations such as a new class of neuron which may be sensitive to inflammatory itch.
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unbiased classification of sensory neuron types by large scale single cell rna sequencing
Nature Neuroscience, 2015Co-Authors: Dmitry Usoskin, Alessandro Furlan, Saiful Islam, Hind Abdo, Peter Lonnerberg, Jens Hjerlingleffler, Jesper Z Haeggstrom, Olga Kharchenko, Daohua Lou, Peter V KharchenkoAbstract:The primary sensory system requires the integrated function of multiple cell types, although its full complexity remains unclear. We used comprehensive transcriptome analysis of 622 single mouse neurons to classify them in an unbiased manner, independent of any a priori knowledge of sensory subtypes. Our results reveal eleven types: three distinct low-threshold mechanoreceptive neurons, two proprioceptive, and six principal types of thermosensitive, itch sensitive, type C low-threshold mechanosensitive and nociceptive neurons with markedly different molecular and operational properties. Confirming previously anticipated major neuronal types, our results also classify and provide markers for new, functionally distinct subtypes. For example, our results suggest that itching during inflammatory skin diseases such as atopic dermatitis is linked to a distinct itch-generating type. We demonstrate single-cell RNA-seq as an effective strategy for dissecting sensory responsive cells into distinct neuronal types. The resulting catalog illustrates the diversity of sensory types and the cellular complexity underlying Somatic Sensation.
Peter Lonnerberg - One of the best experts on this subject based on the ideXlab platform.
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Neuronal atlas of the dorsal horn defines its architecture and links sensory input to transcriptional cell types
Nature Neuroscience, 2018Co-Authors: Martin Häring, Peter Lonnerberg, Amit Zeisel, Hannah Hochgerner, Puneet Rinwa, Jon E. T. Jakobsson, Gioele Manno, Nilesh Sharma, Lotta Borgius, Ole KiehnAbstract:The dorsal horn of the spinal cord is critical to processing distinct modalities of noxious and innocuous Sensation, but little is known of the neuronal subtypes involved, hampering efforts to deduce principles governing Somatic Sensation. Here we used single-cell RNA sequencing to classify sensory neurons in the mouse dorsal horn. We identified 15 inhibitory and 15 excitatory molecular subtypes of neurons, equaling the complexity in cerebral cortex. Validating our classification scheme in vivo and matching cell types to anatomy of the dorsal horn by spatial transcriptomics reveals laminar enrichment for each of the cell types. Neuron types, when combined, define a multilayered organization with like neurons layered together. Employing our scheme, we find that heat and cold stimuli activate discrete sets of both excitatory and inhibitory neuron types. This work provides a systematic and comprehensive molecular classification of spinal cord sensory neurons, enabling functional interrogation of sensory processing. Using single-cell RNA-seq, the authors produced a comprehensive atlas of the somatosensory spinal cord. They found that neuron types build the dorsal horn by a discrete layering and to be differentially engaged by noxious heat and cold.
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unbiased classification of sensory neuron types by large scale single cell rna sequencing
Nature Neuroscience, 2015Co-Authors: Dmitry Usoskin, Alessandro Furlan, Saiful Islam, Hind Abdo, Peter Lonnerberg, Jens Hjerlingleffler, Jesper Z Haeggstrom, Olga Kharchenko, Peter V Kharchenko, Sten LinnarssonAbstract:Based on single cell RNA-sequencing of 622 adult mouse sensory neurons, Usoskin et al. performed unbiased classification to identify the cellular and molecular complexity underlying Somatic Sensation. Eleven different subtypes were identified, including some previously unknown populations such as a new class of neuron which may be sensitive to inflammatory itch.
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unbiased classification of sensory neuron types by large scale single cell rna sequencing
Nature Neuroscience, 2015Co-Authors: Dmitry Usoskin, Alessandro Furlan, Saiful Islam, Hind Abdo, Peter Lonnerberg, Jens Hjerlingleffler, Jesper Z Haeggstrom, Olga Kharchenko, Daohua Lou, Peter V KharchenkoAbstract:The primary sensory system requires the integrated function of multiple cell types, although its full complexity remains unclear. We used comprehensive transcriptome analysis of 622 single mouse neurons to classify them in an unbiased manner, independent of any a priori knowledge of sensory subtypes. Our results reveal eleven types: three distinct low-threshold mechanoreceptive neurons, two proprioceptive, and six principal types of thermosensitive, itch sensitive, type C low-threshold mechanosensitive and nociceptive neurons with markedly different molecular and operational properties. Confirming previously anticipated major neuronal types, our results also classify and provide markers for new, functionally distinct subtypes. For example, our results suggest that itching during inflammatory skin diseases such as atopic dermatitis is linked to a distinct itch-generating type. We demonstrate single-cell RNA-seq as an effective strategy for dissecting sensory responsive cells into distinct neuronal types. The resulting catalog illustrates the diversity of sensory types and the cellular complexity underlying Somatic Sensation.
Miguel A L Nicolelis - One of the best experts on this subject based on the ideXlab platform.
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creating a neuroprosthesis for active tactile exploration of textures
Proceedings of the National Academy of Sciences of the United States of America, 2019Co-Authors: Joseph E Odoherty, Solaiman Shokur, Leonel E Medina, Mikhail A Lebedev, Miguel A L NicolelisAbstract:Intracortical microstimulation (ICMS) of the primary somatosensory cortex (S1) can produce percepts that mimic Somatic Sensation and, thus, has potential as an approach to sensorize prosthetic limbs. However, it is not known whether ICMS could recreate active texture exploration—the ability to infer information about object texture by using one’s fingertips to scan a surface. Here, we show that ICMS of S1 can convey information about the spatial frequencies of invisible virtual gratings through a process of active tactile exploration. Two rhesus monkeys scanned pairs of visually identical screen objects with the fingertip of a hand avatar—controlled first via a joystick and later via a brain–machine interface—to find the object with denser virtual gratings. The gratings consisted of evenly spaced ridges that were signaled through individual ICMS pulses generated whenever the avatar’s fingertip crossed a ridge. The monkeys learned to interpret these ICMS patterns, evoked by the interplay of their voluntary movements and the virtual textures of each object, to perform a sensory discrimination task. Discrimination accuracy followed Weber’s law of just-noticeable differences (JND) across a range of grating densities; a finding that matches normal cutaneous Sensation. Moreover, 1 monkey developed an active scanning strategy where avatar velocity was integrated with the ICMS pulses to interpret the texture information. We propose that this approach could equip upper-limb neuroprostheses with direct access to texture features acquired during active exploration of natural objects.
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creating a neuroprosthesis for active tactile exploration of textures
bioRxiv, 2019Co-Authors: Joseph E Odoherty, Solaiman Shokur, Leonel E Medina, Mikhail A Lebedev, Miguel A L NicolelisAbstract:Abstract Intracortical microstimulation (ICMS) of the primary somatosensory cortex (S1) can produce percepts that mimic Somatic Sensation and thus has potential as an approach to sensorize prosthetic limbs. However, it is not known whether ICMS could recreate active texture exploration—the ability to infer information about object texture by using one’s fingertips to scan a surface. Here we show that ICMS of S1 can convey information about the spatial frequencies of invisible virtual gratings through a process of active tactile exploration. Two rhesus monkeys scanned pairs of visually identical screen objects with the fingertip of a hand avatar, controlled via a joystick and later via a brain-machine interface, to find the one with denser virtual gratings. The gratings consisted of evenly spaced ridges that were signaled through ICMS pulses generated when the avatar’s fingertip crossed each ridge. The monkeys learned to interpret these ICMS patterns evoked by the interplay of their voluntary movements and the virtual textures of each object. Discrimination accuracy across a range of grating densities followed Weber’s law of just-noticeable differences (JND), a finding that matches normal cutaneous Sensation. Moreover, one monkey developed an active scanning strategy where avatar velocity was integrated with the ICMS pulses to interpret the texture information. We propose that this approach could equip upper-limb neuroprostheses with direct access to texture features acquired during active exploration of natural objects.
Kumiko Sugimoto - One of the best experts on this subject based on the ideXlab platform.
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Influences of Aging on Taste Perception and Oral Somatic Sensation
The journals of gerontology. Series A Biological sciences and medical sciences, 2005Co-Authors: Akiko Fukunaga, Hiroshi Uematsu, Kumiko SugimotoAbstract:BACKGROUND Many elderly persons report reduced taste perception of the foods they eat. Any disturbance of taste and oral Somatic Sensations can induce this phenomenon. To determine the cause of decreased taste perception in older persons, the authors investigated age-related changes in taste perception and Somatic Sensations in the anterior tongue. METHODS Thirty healthy young and elderly persons participated in this study. Recognition thresholds of four basic tastes (sweet, salty, sour, and bitter) and the threshold of irritating Sensation induced by capsaicin were measured by local stimulation using filter-paper disks. Two-point discrimination thresholds were measured to evaluate the spatial acuity of touch Sensation. All measurements were carried out at the tip of the dorsal tongue. RESULTS The recognition thresholds of all four basic tastes of elderly participants were significantly higher than those of young participants. On the contrary, age-associated changes were not observed in 2-point discrimination and capsaicin Sensation. CONCLUSIONS Significant age-associated deterioration was observed in taste but not Somatic Sensations such as touch and burning pain in the tongue, showing that aging affects taste perception and oral Somatic Sensations differently. This suggests that decreased taste perception of foods in elderly people may be caused primarily by perceptual loss of taste among oral Sensations.
