Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

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 het...

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Bibliographic Details
Main Authors: Tirosh, I., Izar, B., Treacy, D., Trombetta, J. J., Rotem, A., Rodman, C., Lian, C., Murphy, G., Fallahi-Sichani, M., Dutton-Regester, K., Lin, J.-R., Cohen, O., Shah, P., Lu, D., Villani, A.-C., Andreev, A. Y., Van Allen, E. M., Bertagnolli, M., Sorger, P. K., Sullivan, R. J., Flaherty, K. T., Frederick, D. T., Jane-Valbuena, J., Rozenblatt-Rosen, O., Prakadan, Sanjay, Wadsworth, Marc Havens, Genshaft, Alex S., Hughes, Travis K., Ziegler, Carly, Kazer, Samuel Weisgurt, Gaillard de Saint Germain, Alethe, Kolb, Kellie Elizabeth, Johannessen, Cory M., Yoon, Clifford H., Shalek, Alexander K, Regev, Aviv, Garraway, Levi A.
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Format: Article
Language:en_US
Published: American Association for the Advancement of Science (AAAS) 2017
Online Access:http://hdl.handle.net/1721.1/110559
https://orcid.org/0000-0002-5621-8768
https://orcid.org/0000-0001-9376-164X
https://orcid.org/0000-0003-3079-5134
https://orcid.org/0000-0001-8291-8672
https://orcid.org/0000-0002-8279-7150
https://orcid.org/0000-0002-7380-9594
https://orcid.org/0000-0001-9179-7972
https://orcid.org/0000-0003-0710-7305
https://orcid.org/0000-0001-8567-2049

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