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| Item Type: | Article |
|---|---|
| Title: | Deep visual proteomics uncovers nociceptor diversity and pain targets |
| Creators Name: | Chakrabarti, Sampurna, Makhmut, Anuar, Mohammadi, Atena, Luo, Wenhan, Wang, Lin, Lewin, Gary R. and Coscia, Fabian |
| Abstract: | The richness of our somatosensory experience is reflected in the functional diversity of somatic sensory neurons. Single-cell RNA sequencing of sensory neurons has revealed a molecular basis for such diversity. However, sensory neuron diversity has yet to be captured at the level of the proteome. Here, we combined electrophysiology with deep visual proteomics to quantify over 6000 proteins from phenotypically-defined sensory neurons in mice and identified proteomic markers of sensory neuron subtypes. Comparative analysis revealed both concordance and meaningful divergence between transcriptomes and proteomes. We further show that up to 3000 proteins can be quantified from one-fourth of a single neuron, demonstrating subset-specific protein signatures. In culture, nociceptive neurons can be acutely sensitized to mechanical stimuli by nerve growth factor (NGF) which normally drives inflammatory pain in vivo. Indeed, overnight exposure of peptidergic nociceptors to NGF and a protein kinase C (PKC) activator produced functional sensitization associated with proteome changes. Functional knockdown experiments identified the up-regulated B3GNT2 enzyme as a potential effector of nociceptor sensitization. In summary, we present a high-resolution proteomic resource linking molecular identity to function, enabling the discovery of mechanisms underlying somatic sensation and pain sensitization. |
| Keywords: | Inbred C57BL Mice, Nerve Growth Factor, Nociceptors, Pain, Protein Kinase C, Proteome, Proteomics, Sensory Receptor Cells, Spinal Ganglia, Transcriptome, Animals, Mice |
| Source: | Nature Communications |
| ISSN: | 2041-1723 |
| Publisher: | Nature Publishing Group |
| Volume: | 17 |
| Number: | 1 |
| Page Range: | 3437 |
| Date: | 13 April 2026 |
| Official Publication: | https://doi.org/10.1038/s41467-026-71418-8 |
| PubMed: | View item in PubMed |
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