The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Spatial transcriptomics of dorsal root ganglia identifies molecular signatures of human nociceptors
Open accessAbstract
Nociceptors are specialized sensory neurons that detect damaging or potentially damaging stimuli and are found in the dorsal root ganglia (DRG) and trigeminal ganglia. These neurons are critical for the generation of neuronal signals that ultimately create the perception of pain. Nociceptors are also primary targets for treating acute and chronic pain. Single-cell transcriptomics on mouse nociceptors has transformed our understanding of pain mechanisms. We sought to generate equivalent information for human nociceptors with the goal of identifying transcriptomic signatures of nociceptors, identifying species differences and potential drug targets. We used spatial transcriptomics to molecularly characterize transcriptomes of single DRG neurons from eight organ donors. We identified 12 clusters of human sensory neurons, 5 of which are C nociceptors, as well as 1 C low-threshold mechanoreceptors (LTMRs), 1 Aβ nociceptor, 2 Aδ, 2 Aβ, and 1 proprioceptor subtypes. By focusing on expression profiles for ion channels, G protein–coupled receptors (GPCRs), and other pharmacological targets, we provided a rich map of potential drug targets in the human DRG with direct comparison to mouse sensory neuron transcriptomes. We also compared human DRG neuronal subtypes to nonhuman primates showing conserved patterns of gene expression among many cell types but divergence among specific nociceptor subsets. Last, we identified sex differences in human DRG subpopulation transcriptomes, including a marked increase in calcitonin-related polypeptide alpha (CALCA) expression in female pruritogen receptor–enriched nociceptors. This comprehensive spatial characterization of human nociceptors might open the door to development of better treatments for acute and chronic pain disorders.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Tirosh, I., Izar, B., Prakadan, S. M., Wadsworth, M. H., Treacy, D., Trombetta, J. J., Rotem, A., Rodman, C., Lian, C., Murphy, G., et al. (2016) · Science · doi:10.1126/science.aad0501 · Cited by 4,944
Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
Ståhl, P. L., Salmén, F., Vickovic, S., Lundmark, A., Navarro, J. F., Magnusson, J., Giacomello, S., Asp, M., Westholm, J. O., Huss, M., et al. (2016) · Science · doi:10.1126/science.aaf2403 · Cited by 3,834
GENCODE reference annotation for the human and mouse genomes
Frankish, A., Diekhans, M., Ferreira, A.-M., Johnson, R., Jungreis, I., Loveland, J., Mudge, J. M., Sisu, C., Wright, J., Armstrong, J., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky955 · Cited by 3,040
Mi, H., Muruganujan, A., Ebert, D., Huang, X., & Thomas, P. D. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1038 · Cited by 3,033
Identification of a cold receptor reveals a general role for TRP channels in thermosensation
McKemy, D. D., Neuhausser, W. M., & Julius, D. (2002) · Nature · doi:10.1038/nature719 · Cited by 2,709
Molecular Architecture of the Mouse Nervous System
Zeisel, A., Hochgerner, H., Lönnerberg, P., Johnsson, A., Memic, F., van der Zwan, J., Häring, M., Braun, E., Borm, L. E., La Manno, G., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.021 · Cited by 2,552
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
Usoskin, D., Furlan, A., Islam, S., Abdo, H., Lönnerberg, P., Lou, D., Hjerling-Leffler, J., Haeggström, J., Kharchenko, O., Kharchenko, P. V., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3881 · Cited by 2,136
Cited by
Chen, S., Chang, Y., Li, L., Acosta, D., Li, Y., Guo, Q., Wang, C., Turkes, E., Morrison, C., Julian, D., et al. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01494-6 · Cited by 144
B cells drive neuropathic pain–related behaviors in mice through IgG–Fc gamma receptor signaling
Lacagnina, M. J., Willcox, K. F., Boukelmoune, N., Bavencoffe, A., Sankaranarayanan, I., Barratt, D. T., Zuberi, Y. A., Dayani, D., Chavez, M. V., Lu, J. T., et al. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adj1277 · Cited by 60
Self-citationArendt-Tranholm, A., Mwirigi, J. M., & Price, T. J. (2024) · Pain · doi:10.1097/j.pain.0000000000003255 · Cited by 10
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Metadata
- Authors
- Tavares-Ferreira, D., Shiers, S., Ray, P. R., Wangzhou, A., Jeevakumar, V., Sankaranarayanan, I., Cervantes, A. M., Reese, J. C., Chamessian, A., Copits, B. A., Dougherty, P. M., Gereau, R. W., Burton, M. D., Dussor, G., & Price, T. J.
- Venue
- Science Translational Medicine
- Published
- 2022-02-16
- Volume
- 14
- Issue
- 632
- Pages
- eabj8186-eabj8186
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- OpenAlex
- W4213110813
- Cited by
- 451
- References
- 82
- FWCI
- 44.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Tavares-Ferreira, D., Shiers, S., Ray, P. R., Wangzhou, A., Jeevakumar, V., Sankaranarayanan, I., Cervantes, A. M., Reese, J. C., Chamessian, A., Copits, B. A., Dougherty, P. M., Gereau, R. W., Burton, M. D., Dussor, G., & Price, T. J. (2022). Spatial transcriptomics of dorsal root ganglia identifies molecular signatures of human nociceptors. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.abj8186
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