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. 2020 Apr 8;31(5):170–180. doi: 10.1007/s00335-020-09834-4

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Single-cell omics is advancing the development of personalized treatments. Precision medicine utilizes genetic information from all levels of cellular organization (cell, tissue, organism) obtained from patient data, to tailor treatments. These novel technologies investigate how cells from a healthy, seemingly homogenous population of cells can lead to a population with different cellular states, triggering tissue dysfunction and systemic effects (highlighted in grey). The translational applications of single-cell omics will impact on preventive measures, early detection and disease monitoring, leading to the next generation of health care (highlighted in blue)