Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

CANCER

Dissecting melanocytes to predict melanoma

With advanced high-throughput technologies, scientists can now use transcriptional signatures to study melanocytes as they become cancer. A new study identifies transcriptional programs at single-cell resolution across platforms and species, which enables prediction of melanoma prognosis and response to immune-checkpoint inhibitor therapy.

This is a preview of subscription content

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

Fig. 1: Melanoma subtypes categorised by transcriptional signature.

BioRender.com.

References

  1. 1.

    Belote, R. L. et al. Nat. Cell Biol. https://doi.org/10.1038/s41556-021-00740-8 (2021).

  2. 2.

    Tang, F. et al. Nat. Methods 6, 377–382 (2009).

    CAS  Article  Google Scholar 

  3. 3.

    Vorstandlechner, V. et al. FASEB J. 34, 3677–3692 (2020).

    CAS  Article  Google Scholar 

  4. 4.

    Solé-Boldo, L. et al. Commun. Biol. 3, 1–12 (2020).

    Article  Google Scholar 

  5. 5.

    Marie, K. L. et al. Nat. Commun. 11, 333 (2020).

    CAS  Article  Google Scholar 

  6. 6.

    Joshi, S. S. et al. PLoS Genet. 15, 1–25 (2019).

    Article  Google Scholar 

  7. 7.

    Rezza, A. et al. Cell Rep. 14, 3001–3018 (2016).

    CAS  Article  Google Scholar 

  8. 8.

    Sennett, R. et al. Dev. Cell https://doi.org/10.1016/j.devcel.2015.06.023 (2015).

  9. 9.

    Mica, Y., Lee, G., Chambers, S. M., Tomishima, M. J. & Studer, L. Cell Rep. 3, 1140–1152 (2013).

    CAS  Article  Google Scholar 

  10. 10.

    Hirata, M. & Nakamura, K. Dev. Dyn. 227, 497–503 (2003).

    Article  Google Scholar 

  11. 11.

    Minnoye, L. et al. Genome Res. 31, 1815–1834 (2020).

    Article  Google Scholar 

  12. 12.

    Tirosh, I. et al. Science 352, 189–196 (2016).

    CAS  Article  Google Scholar 

  13. 13.

    Jerby-Arnon, L. et al. Cell 175, 984–997.e24 (2018).

    CAS  Article  Google Scholar 

  14. 14.

    Rambow, F. et al. Cell 174, 843–855.e19 (2018).

    CAS  Article  Google Scholar 

  15. 15.

    Kirchoff, D. D. et al. Am. Surg. 82, 1–5 (2016).

    Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Leonard I. Zon.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

McConnell, A.M., Zon, L.I. Dissecting melanocytes to predict melanoma. Nat Cell Biol 23, 930–931 (2021). https://doi.org/10.1038/s41556-021-00748-0

Download citation

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing