PUBLICATION

Spatially resolved transcriptomics reveals the architecture of the tumor-microenvironment interface

Authors
Hunter, M.V., Moncada, R., Weiss, J.M., Yanai, I., White, R.M.
ID
ZDB-PUB-211103-5
Date
2021
Source
Nature communications   12: 6278 (Journal)
Registered Authors
White, Richard M.
Keywords
none
Datasets
GEO:GSE159709
MeSH Terms
  • Animals
  • Disease Models, Animal
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Neoplasms/genetics*
  • Neoplasms/metabolism
  • RNA-Seq
  • Transcriptome*
  • Tumor Microenvironment*
  • Zebrafish/genetics
  • Zebrafish/metabolism
PubMed
34725363 Full text @ Nat. Commun.
Abstract
During tumor progression, cancer cells come into contact with various 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. A cilia-enriched 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.
Genes / Markers
Figures
Show all Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping