Skin in the game: a review of single-cell and spatial transcriptomics in dermatological research
- PMID: 38656304
- DOI: 10.1515/cclm-2023-1245
Skin in the game: a review of single-cell and spatial transcriptomics in dermatological research
Abstract
Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) are two emerging research technologies that uniquely characterize gene expression microenvironments on a cellular or subcellular level. The skin, a clinically accessible tissue composed of diverse, essential cell populations, serves as an ideal target for these high-resolution investigative approaches. Using these tools, researchers are assembling a compendium of data and discoveries in healthy skin as well as a range of dermatologic pathophysiologies, including atopic dermatitis, psoriasis, and cutaneous malignancies. The ongoing advancement of single-cell approaches, coupled with anticipated decreases in cost with increased adoption, will reshape dermatologic research, profoundly influencing disease characterization, prognosis, and ultimately clinical practice.
Keywords: gene expression; single cell transcriptomics; skin; spatial transcriptomics.
© 2024 Walter de Gruyter GmbH, Berlin/Boston.
References
-
- Longo, SK, Guo, MG, Ji, AL, Khavari, PA. Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics. Nat Rev Genet 2021;22:627–44. https://doi.org/10.1038/s41576-021-00370-8 . - DOI
-
- Tang, F, Barbacioru, C, Wang, Y, Nordman, E, Lee, C, Xu, N, et al.. mRNA-seq whole-transcriptome analysis of a single cell. Nat Methods 2009;6:377–82. https://doi.org/10.1038/nmeth.1315 . - DOI
-
- Wu, J, Fang, Z, Liu, T, Hu, W, Wu, Y, Li, S. Maximizing the utility of transcriptomics data in inflammatory skin diseases. Front Immunol 2021;12:761890. https://doi.org/10.3389/fimmu.2021.761890 . - DOI
-
- Kashima, Y, Sakamoto, Y, Kaneko, K, Seki, M, Suzuki, Y, Suzuki, A. Single-cell sequencing techniques from individual to multiomics analyses. Exp Mol Med 2020;52:1419–27. https://doi.org/10.1038/s12276-020-00499-2 . - DOI
-
- Ramsköld, D, Luo, S, Wang, Y-C, Li, R, Deng, Q, Faridani, OR, et al.. Full-length mRNA-seq from single-cell levels of RNA and individual circulating tumor cells. Nat Biotechnol 2012;30:777–82. https://doi.org/10.1038/nbt.2282 . - DOI
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources