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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Author(s) -
Itay Tirosh,
Benjamin Izar,
Sanjay M. Prakadan,
Marc H. Wadsworth,
Daniel J. Treacy,
John J. Trombetta,
Asaf Rotem,
Christopher Rodman,
Christine G. Lian,
Gëorge F. Murphy,
Mohammad FallahiSichani,
Ken DuttonRegester,
JiaRen Lin,
Ofir Cohen,
Parin Shah,
Diana Lu,
Alex S. Genshaft,
Travis Hughes,
Carly G.K. Ziegler,
Samuel W. Kazer,
Aleth Gaillard,
Kellie E. Kolb,
Alexandra–Chloé Villani,
Cory M. Johannessen,
Aleksandr Andreev,
Eliezer M. Van Allen,
Monica M. Bertagnolli,
Peter K. Sorger,
Ryan J. Sullivan,
Keith T. Flaherty,
Dennie T. Frederick,
Judit JanéValbuena,
Charles H. Yoon,
Orit Rozenblatt–Rosen,
Alex K. Shalek,
Aviv Regev,
Levi A. Garraway
Publication year - 2016
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.aad0501
Subject(s) - microphthalmia associated transcription factor , biology , melanoma , single cell analysis , stromal cell , cancer research , cell , transcriptome , tumor microenvironment , rna seq , rna , immune system , transcription factor , context (archaeology) , immune checkpoint , immunotherapy , genetics , gene expression , gene , tumor cells , paleontology
To explore the distinct genotypic and phenotypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells. Malignant cells within the same tumor displayed transcriptional heterogeneity associated with the cell cycle, spatial context, and a drug-resistance program. In particular, all tumors harbored malignant cells from two distinct transcriptional cell states, such that tumors characterized by high levels of the MITF transcription factor also contained cells with low MITF and elevated levels of the AXL kinase. Single-cell analyses suggested distinct tumor microenvironmental patterns, including cell-to-cell interactions. Analysis of tumor-infiltrating T cells revealed exhaustion programs, their connection to T cell activation and clonal expansion, and their variability across patients. Overall, we begin to unravel the cellular ecosystem of tumors and how single-cell genomics offers insights with implications for both targeted and immune therapies.

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