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Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis
Spatial transcriptomics is useful for understanding the molecular organization of a tissue and providing insights into cellular function in a morphological context. In order to obtain reproducible results in spatial transcriptomics, we have to maintain tissue morphology and RNA molecule stability du...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184581/ https://www.ncbi.nlm.nih.gov/pubmed/32341421 http://dx.doi.org/10.1038/s41598-020-63495-6 |
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author | Yamazaki, Miki Hosokawa, Masahito Arikawa, Koji Takahashi, Kiyofumi Sakanashi, Chikako Yoda, Takuya Matsunaga, Hiroko Takeyama, Haruko |
author_facet | Yamazaki, Miki Hosokawa, Masahito Arikawa, Koji Takahashi, Kiyofumi Sakanashi, Chikako Yoda, Takuya Matsunaga, Hiroko Takeyama, Haruko |
author_sort | Yamazaki, Miki |
collection | PubMed |
description | Spatial transcriptomics is useful for understanding the molecular organization of a tissue and providing insights into cellular function in a morphological context. In order to obtain reproducible results in spatial transcriptomics, we have to maintain tissue morphology and RNA molecule stability during the image acquisition and biomolecule collection processes. Here, we developed a tissue processing method for robust and reproducible RNA-seq from tissue microdissection samples. In this method, we suppressed RNA degradation in fresh-frozen tissue specimens by dehydration fixation and effectively collected a small amount of RNA molecules from microdissection samples by magnetic beads. We demonstrated the spatial transcriptome analysis of the mouse liver and brain in serial microdissection samples (100 μm in a diameter and 10 μm in thickness) produced by a microdissection punching system. Using our method, we could prevent RNA degradation at room temperature and effectively produce a sequencing library with Smart-seq2. This resulted in reproducible sequence read mapping in exon regions and the detection of more than 2000 genes compared to non-fixed samples in the RNA-seq analysis. Our method would be applied to various transcriptome analyses, providing the information for region specific gene expression in tissue specimens. |
format | Online Article Text |
id | pubmed-7184581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71845812020-04-29 Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis Yamazaki, Miki Hosokawa, Masahito Arikawa, Koji Takahashi, Kiyofumi Sakanashi, Chikako Yoda, Takuya Matsunaga, Hiroko Takeyama, Haruko Sci Rep Article Spatial transcriptomics is useful for understanding the molecular organization of a tissue and providing insights into cellular function in a morphological context. In order to obtain reproducible results in spatial transcriptomics, we have to maintain tissue morphology and RNA molecule stability during the image acquisition and biomolecule collection processes. Here, we developed a tissue processing method for robust and reproducible RNA-seq from tissue microdissection samples. In this method, we suppressed RNA degradation in fresh-frozen tissue specimens by dehydration fixation and effectively collected a small amount of RNA molecules from microdissection samples by magnetic beads. We demonstrated the spatial transcriptome analysis of the mouse liver and brain in serial microdissection samples (100 μm in a diameter and 10 μm in thickness) produced by a microdissection punching system. Using our method, we could prevent RNA degradation at room temperature and effectively produce a sequencing library with Smart-seq2. This resulted in reproducible sequence read mapping in exon regions and the detection of more than 2000 genes compared to non-fixed samples in the RNA-seq analysis. Our method would be applied to various transcriptome analyses, providing the information for region specific gene expression in tissue specimens. Nature Publishing Group UK 2020-04-27 /pmc/articles/PMC7184581/ /pubmed/32341421 http://dx.doi.org/10.1038/s41598-020-63495-6 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Yamazaki, Miki Hosokawa, Masahito Arikawa, Koji Takahashi, Kiyofumi Sakanashi, Chikako Yoda, Takuya Matsunaga, Hiroko Takeyama, Haruko Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis |
title | Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis |
title_full | Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis |
title_fullStr | Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis |
title_full_unstemmed | Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis |
title_short | Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis |
title_sort | effective microtissue rna extraction coupled with smart-seq2 for reproducible and robust spatial transcriptome analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184581/ https://www.ncbi.nlm.nih.gov/pubmed/32341421 http://dx.doi.org/10.1038/s41598-020-63495-6 |
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