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Dissecting melanocytes to predict melanoma

Nature Cell Biology volume 23, pages 930–931 (2021)Cite this article

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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.

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Authors and Affiliations

  1. Stem Cell Program and Division of Hematology/Oncology, Children’s Hospital Boston, Howard Hughes Medical Institute, Boston, MA, USA

    Alicia M. McConnell & Leonard I. Zon

  2. Harvard Medical School, Boston, MA, USA

    Alicia M. McConnell & Leonard I. Zon

  3. Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA

    Leonard I. Zon

Authors
  1. Alicia M. McConnell
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  2. Leonard I. Zon
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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). https://doi.org/10.1038/s41556-021-00748-0

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