Yu, Huasheng, Nagi, Saad S, Usoskin, Dmitry, Hu, Yizhou, Kupari, Jussi, Bouchatta, Otmane, Yan, Hanying, Cranfill, Suna Li, Gautam, Mayank, Su, Yijing et al (show 16 more authors)
(2024)
Leveraging deep single-soma RNA sequencing to explore the neural basis of human somatosensation.
Nature neuroscience, 27 (12).
pp. 2326-2340.
ISSN 1097-6256, 1546-1726
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Ganglia, Spinal, Neurons, Animals, Humans, Sequence Analysis, RNA, Adult, Female, Male, Sensory Receptor Cells, High-Throughput Nucleotide Sequencing, Transcriptome |
| Divisions: | Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Life Courses & Medical Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 18 Nov 2024 08:24 |
| Last Modified: | 22 May 2026 20:36 |
| DOI: | 10.1038/s41593-024-01794-1 |
| Open Access URL: | https://www.nature.com/articles/s41593-024-01794-1 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3188058 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |

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