Nature Communications (May 2022)

Spatial epitranscriptomics reveals A-to-I editome specific to cancer stem cell microniches

  • Amos C. Lee,
  • Yongju Lee,
  • Ahyoun Choi,
  • Han-Byoel Lee,
  • Kyoungseob Shin,
  • Hyunho Lee,
  • Ji Young Kim,
  • Han Suk Ryu,
  • Hoe Suk Kim,
  • Seung Yeon Ryu,
  • Sangeun Lee,
  • Jong-Ho Cheun,
  • Duck Kyun Yoo,
  • Sumin Lee,
  • Hansol Choi,
  • Taehoon Ryu,
  • Huiran Yeom,
  • Namphil Kim,
  • Jinsung Noh,
  • Yonghee Lee,
  • Inyoung Kim,
  • Sangwook Bae,
  • Jinhyun Kim,
  • Wooseok Lee,
  • Okju Kim,
  • Yushin Jung,
  • Changhoe Kim,
  • Seo Woo Song,
  • Yeongjae Choi,
  • Junho Chung,
  • Byung Gee Kim,
  • Wonshik Han,
  • Sunghoon Kwon

DOI
https://doi.org/10.1038/s41467-022-30299-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 12

Abstract

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The spatial context of epitranscriptomic features in the tumour microenvironment remains poorly understood. Here, a method for transcriptomic and epitranscriptomic analysis of immunofluorescence-stained tissue, Select-seq, is applied to stem cell-like microniches in triple negative breast cancer.