Leveraging deep single-soma RNA sequencing to explore the neural basis of human somatosensation

Huasheng Yu, Saad S. Nagi, Dmitry Usoskin, Yizhou Hu, Jussi Kupari, Otmane Bouchatta, Hanying Yan, Suna Li Cranfill, Mayank Gautam, Yijing Su, You Lu, James Wymer, Max Glanz, Phillip Albrecht, Hongjun Song, Guo Li Ming, Stephen Prouty, John Seykora, Hao Wu, Minghong MaAndrew Marshall, Frank L. Rice, Mingyao Li, Håkan Olausson, Patrik Ernfors, Wenqin Luo

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

The versatility of somatosensation arises from heterogeneous dorsal root ganglion (DRG) neurons. However, soma transcriptomes of individual human (h)DRG neurons"”critical information to decipher their functions"”are lacking due to technical difficulties. In this study, we isolated somata from individual hDRG neurons and conducted deep RNA sequencing (RNA-seq) to detect, on average, over 9,000 unique genes per neuron, and we identified 16 neuronal types. These results were corroborated and validated by spatial transcriptomics and RNAscope in situ hybridization. Cross-species analyses revealed divergence among potential pain-sensing neurons and the likely existence of human-specific neuronal types. Molecular-profile-informed microneurography recordings revealed temperature-sensing properties across human sensory afferent types. In summary, by employing single-soma deep RNA-seq and spatial transcriptomics, we generated an hDRG neuron atlas, which provides insights into human somatosensory physiology and serves as a foundation for translational work.
Original languageEnglish
Article number96
Pages (from-to)2326-2340
Number of pages15
JournalNature Neuroscience
Volume27
Issue number12
DOIs
Publication statusPublished - Dec 2024
Externally publishedYes

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© The Author(s) 2024.

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