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- W3170362593 abstract "SUMMARY During tumor progression, cancer cells come into contact with novel non-tumor cell types, but it is unclear how tumors adapt to these new environments. Here, we integrate spatially resolved transcriptomics, single-cell RNA-seq, and single-nucleus RNA-seq to characterize tumor-microenvironment interactions at the tumor boundary. Using a zebrafish model of melanoma, we identify a distinct “interface” cell state where the tumor contacts neighboring tissues. This interface is composed of specialized tumor and microenvironment cells that upregulate a common set of cilia genes, and cilia proteins are enriched only where the tumor contacts the microenvironment. Cilia gene expression is regulated by ETS-family transcription factors, which normally act to suppress cilia genes outside of the interface. An ETS-driven interface is conserved in human patient samples, suggesting it is a conserved feature of human melanoma. Our results demonstrate the power of spatially resolved transcriptomics in uncovering mechanisms that allow tumors to adapt to new environments." @default.
- W3170362593 created "2021-06-22" @default.
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- W3170362593 date "2020-11-05" @default.
- W3170362593 modified "2023-09-25" @default.
- W3170362593 title "Spatially resolved transcriptomics reveals the architecture of the tumor/microenvironment interface" @default.
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- W3170362593 doi "https://doi.org/10.1101/2020.11.05.368753" @default.
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