| Literature DB >> 27124452 |
Itay Tirosh1, Benjamin Izar2, Sanjay M Prakadan3, Marc H Wadsworth3, Daniel Treacy1, John J Trombetta1, Asaf Rotem4, Christopher Rodman1, Christine Lian5, George Murphy5, Mohammad Fallahi-Sichani6, Ken Dutton-Regester7, Jia-Ren Lin8, Ofir Cohen1, Parin Shah9, Diana Lu1, Alex S Genshaft3, Travis K Hughes10, Carly G K Ziegler10, Samuel W Kazer3, Aleth Gaillard3, Kellie E Kolb3, Alexandra-Chloé Villani1, Cory M Johannessen1, Aleksandr Y Andreev1, Eliezer M Van Allen4, Monica Bertagnolli11, Peter K Sorger12, Ryan J Sullivan13, Keith T Flaherty13, Dennie T Frederick13, Judit Jané-Valbuena1, Charles H Yoon11, Orit Rozenblatt-Rosen1, Alex K Shalek14, Aviv Regev15, Levi A Garraway16.
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.Entities:
Mesh:
Substances:
Year: 2016 PMID: 27124452 PMCID: PMC4944528 DOI: 10.1126/science.aad0501
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728