Robust gene expression programs underlie recurrent cell states and phenotype switching in melanoma.

NATURE CELL BIOLOGY(2020)

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摘要
Profiling phenotype switching in melanoma. Wouters et al. perform large-scale gene expression analysis in patient samples and identify transcriptional networks that modulate the intermediate cell state and ultimate mesenchymal switching in melanoma. Melanoma cells can switch between a melanocytic and a mesenchymal-like state. Scattered evidence indicates that additional intermediate state(s) may exist. Here, to search for such states and decipher their underlying gene regulatory network (GRN), we studied 10 melanoma cultures using single-cell RNA sequencing (RNA-seq) as well as 26 additional cultures using bulk RNA-seq. Although each culture exhibited a unique transcriptome, we identified shared GRNs that underlie the extreme melanocytic and mesenchymal states and the intermediate state. This intermediate state is corroborated by a distinct chromatin landscape and is governed by the transcription factors SOX6, NFATC2, EGR3, ELF1 and ETV4. Single-cell migration assays confirmed the intermediate migratory phenotype of this state. Using time-series sampling of single cells after knockdown of SOX10, we unravelled the sequential and recurrent arrangement of GRNs during phenotype switching. Taken together, these analyses indicate that an intermediate state exists and is driven by a distinct and stable 'mixed' GRN rather than being a symbiotic heterogeneous mix of cells.
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关键词
Gene expression profiling,Gene regulatory networks,Melanoma,Tumour heterogeneity,Life Sciences,general,Cell Biology,Cancer Research,Developmental Biology,Stem Cells
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