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

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Author(s)
Lee, Amos C.Lee, YongjuChoi, AhyounLee, Han-ByoelShin, KyoungseobLee, HyunhoKim, Ji YoungRyu, Han SukKim, Hoe SukRyu, Seung YeonLee, SangeunCheun, Jong-HoYoo, Duck KyunLee, SuminChoi, HansolRyu, TaehoonYeom, HuiranKim, NamphilNoh, JinsungLee, YongheeKim, InyoungBae, SangwookKim, JinhyunLee, WooseokKim, OkjuJung, YushinKim, ChanghoeSong, Seo WooChoi, YeongjaeChung, JunhoKim, Byung GeeHan, WonshikKwon, Sunghoon
Type
Article
Citation
Nature Communications, v.13, no.1
Issued Date
2022-05
Abstract
Epitranscriptomic features, such as single-base RNA editing, are sources of transcript diversity in cancer, but little is understood in terms of their spatial context in the tumour microenvironment. Here, we introduce spatial-histopathological examination-linked epitranscriptomics converged to transcriptomics with sequencing (Select-seq), which isolates regions of interest from immunofluorescence-stained tissue and obtains transcriptomic and epitranscriptomic data. With Select-seq, we analyse the cancer stem cell-like microniches in relation to the tumour microenvironment of triple-negative breast cancer patients. We identify alternative splice variants, perform complementarity-determining region analysis of infiltrating T cells and B cells, and assess adenosine-to-inosine base editing in tumour tissue sections. Especially, in triple-negative breast cancer microniches, adenosine-to-inosine editome specific to different microniche groups is identified. 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.
Publisher
Nature Publishing Group
ISSN
2041-1723
DOI
10.1038/s41467-022-30299-3
URI
https://scholar.gist.ac.kr/handle/local/10834
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