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タイトル: | High-depth spatial transcriptome analysis by photo-isolation chemistry |
著者: | Honda, Mizuki ![]() ![]() Oki, Shinya ![]() ![]() ![]() Kimura, Ryuichi Harada, Akihito Maehara, Kazumitsu Tanaka, Kaori Meno, Chikara Ohkawa, Yasuyuki |
著者名の別形: | 本田, 瑞季 沖, 真弥 木村, 龍一 原田, 哲仁 前原, 一満 田中, かおり 目野, 主税 大川, 恭行 |
キーワード: | Reverse transcription polymerase chain reaction Transcriptomics |
発行日: | 2021 |
出版者: | Springer Nature |
誌名: | Nature Communications |
巻: | 12 |
論文番号: | 4416 |
抄録: | In multicellular organisms, expression profiling in spatially defined regions is crucial to elucidate cell interactions and functions. Here, we establish a transcriptome profiling method coupled with photo-isolation chemistry (PIC) that allows the determination of expression profiles specifically from photo-irradiated regions of interest. PIC uses photo-caged oligodeoxynucleotides for in situ reverse transcription. PIC transcriptome analysis detects genes specifically expressed in small distinct areas of the mouse embryo. Photo-irradiation of single cells demonstrated that approximately 8, 000 genes were detected with 7 × 10⁴ unique read counts. Furthermore, PIC transcriptome analysis is applicable to the subcellular and subnuclear microstructures (stress granules and nuclear speckles, respectively), where hundreds of genes can be detected as being specifically localised. The spatial density of the read counts is higher than 100 per square micrometre. Thus, PIC enables high-depth transcriptome profiles to be determined from limited regions up to subcellular and subnuclear resolutions. |
記述: | 光照射を用いた超高解像度な遺伝子解析技術の開発に成功 --組織内に潜むがん細胞の病理診断などに応用可能--. 京都大学プレスリリース. 2021-07-27. |
著作権等: | © The Author(s) 2021 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
URI: | http://hdl.handle.net/2433/264604 |
DOI(出版社版): | 10.1038/s41467-021-24691-8 |
PubMed ID: | 34285220 |
関連リンク: | https://www.kyoto-u.ac.jp/ja/research-news/2021-07-27-0 |
出現コレクション: | 学術雑誌掲載論文等 |

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