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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.
- Source :
-
Science (New York, N.Y.) [Science] 2016 Apr 08; Vol. 352 (6282), pp. 189-96. - Publication Year :
- 2016
-
Abstract
- 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.<br /> (Copyright © 2016, American Association for the Advancement of Science.)
- Subjects :
- Base Sequence
Cell Communication
Cell Cycle
Drug Resistance, Neoplasm genetics
Endothelial Cells pathology
Genomics
Humans
Immunotherapy
Lymphocyte Activation
Melanoma therapy
Microphthalmia-Associated Transcription Factor metabolism
Neoplasm Metastasis
RNA genetics
Sequence Analysis, RNA
Single-Cell Analysis
Stromal Cells pathology
T-Lymphocytes immunology
T-Lymphocytes pathology
Transcriptome
Melanoma genetics
Melanoma secondary
Skin Neoplasms pathology
Tumor Microenvironment
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9203
- Volume :
- 352
- Issue :
- 6282
- Database :
- MEDLINE
- Journal :
- Science (New York, N.Y.)
- Publication Type :
- Academic Journal
- Accession number :
- 27124452
- Full Text :
- https://doi.org/10.1126/science.aad0501