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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.

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Fig. 1: Melanoma subtypes categorised by transcriptional signature.


  1. 1.

    Belote, R. L. et al. Nat. Cell Biol. (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 (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 

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Correspondence to Leonard I. Zon.

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McConnell, A.M., Zon, L.I. Dissecting melanocytes to predict melanoma. Nat Cell Biol 23, 930–931 (2021).

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