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

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dc.contributor.authorLee, Amos C.-
dc.contributor.authorLee, Yongju-
dc.contributor.authorChoi, Ahyoun-
dc.contributor.authorLee, Han-Byoel-
dc.contributor.authorShin, Kyoungseob-
dc.contributor.authorLee, Hyunho-
dc.contributor.authorKim, Ji Young-
dc.contributor.authorRyu, Han Suk-
dc.contributor.authorKim, Hoe Suk-
dc.contributor.authorRyu, Seung Yeon-
dc.contributor.authorLee, Sangeun-
dc.contributor.authorCheun, Jong-Ho-
dc.contributor.authorYoo, Duck Kyun-
dc.contributor.authorLee, Sumin-
dc.contributor.authorChoi, Hansol-
dc.contributor.authorRyu, Taehoon-
dc.contributor.authorYeom, Huiran-
dc.contributor.authorKim, Namphil-
dc.contributor.authorNoh, Jinsung-
dc.contributor.authorLee, Yonghee-
dc.contributor.authorKim, Inyoung-
dc.contributor.authorBae, Sangwook-
dc.contributor.authorKim, Jinhyun-
dc.contributor.authorLee, Wooseok-
dc.contributor.authorKim, Okju-
dc.contributor.authorJung, Yushin-
dc.contributor.authorKim, Changhoe-
dc.contributor.authorSong, Seo Woo-
dc.contributor.authorChoi, Yeongjae-
dc.contributor.authorChung, Junho-
dc.contributor.authorKim, Byung Gee-
dc.contributor.authorHan, Wonshik-
dc.contributor.authorKwon, Sunghoon-
dc.date.accessioned2022-06-21T08:02:33Z-
dc.date.available2022-06-21T08:02:33Z-
dc.date.created2022-05-24-
dc.date.issued2022-05-
dc.identifier.citationNature Communications, Vol.13 No.1, p. 2540-
dc.identifier.issn2041-1723-
dc.identifier.urihttps://hdl.handle.net/10371/182642-
dc.description.abstractEpitranscriptomic 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.-
dc.language영어-
dc.publisherNature Publishing Group-
dc.titleSpatial epitranscriptomics reveals A-to-I editome specific to cancer stem cell microniches-
dc.typeArticle-
dc.identifier.doi10.1038/s41467-022-30299-3-
dc.citation.journaltitleNature Communications-
dc.identifier.wosid000792848500013-
dc.identifier.scopusid2-s2.0-85129516649-
dc.citation.number1-
dc.citation.startpage2540-
dc.citation.volume13-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorChung, Junho-
dc.contributor.affiliatedAuthorKim, Byung Gee-
dc.contributor.affiliatedAuthorHan, Wonshik-
dc.contributor.affiliatedAuthorKwon, Sunghoon-
dc.type.docTypeArticle-
dc.description.journalClass1-
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