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High-depth spatial transcriptome analysis by photo-isolation chemistry

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 fr...

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Autores principales: Honda, Mizuki, Oki, Shinya, Kimura, Ryuichi, Harada, Akihito, Maehara, Kazumitsu, Tanaka, Kaori, Meno, Chikara, Ohkawa, Yasuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292322/
https://www.ncbi.nlm.nih.gov/pubmed/34285220
http://dx.doi.org/10.1038/s41467-021-24691-8
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author Honda, Mizuki
Oki, Shinya
Kimura, Ryuichi
Harada, Akihito
Maehara, Kazumitsu
Tanaka, Kaori
Meno, Chikara
Ohkawa, Yasuyuki
author_facet Honda, Mizuki
Oki, Shinya
Kimura, Ryuichi
Harada, Akihito
Maehara, Kazumitsu
Tanaka, Kaori
Meno, Chikara
Ohkawa, Yasuyuki
author_sort Honda, Mizuki
collection PubMed
description 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 × 10(4) 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.
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spelling pubmed-82923222021-07-23 High-depth spatial transcriptome analysis by photo-isolation chemistry Honda, Mizuki Oki, Shinya Kimura, Ryuichi Harada, Akihito Maehara, Kazumitsu Tanaka, Kaori Meno, Chikara Ohkawa, Yasuyuki Nat Commun Article 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 × 10(4) 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. Nature Publishing Group UK 2021-07-20 /pmc/articles/PMC8292322/ /pubmed/34285220 http://dx.doi.org/10.1038/s41467-021-24691-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access 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. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Honda, Mizuki
Oki, Shinya
Kimura, Ryuichi
Harada, Akihito
Maehara, Kazumitsu
Tanaka, Kaori
Meno, Chikara
Ohkawa, Yasuyuki
High-depth spatial transcriptome analysis by photo-isolation chemistry
title High-depth spatial transcriptome analysis by photo-isolation chemistry
title_full High-depth spatial transcriptome analysis by photo-isolation chemistry
title_fullStr High-depth spatial transcriptome analysis by photo-isolation chemistry
title_full_unstemmed High-depth spatial transcriptome analysis by photo-isolation chemistry
title_short High-depth spatial transcriptome analysis by photo-isolation chemistry
title_sort high-depth spatial transcriptome analysis by photo-isolation chemistry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292322/
https://www.ncbi.nlm.nih.gov/pubmed/34285220
http://dx.doi.org/10.1038/s41467-021-24691-8
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