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Semibulk RNA-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment
When biologically interpretation of the data obtained from the single-cell RNA sequencing (scRNA-seq) analysis is attempted, additional information on the location of the single cells, behavior of the surrounding cells, and the microenvironment they generate, would be very important. We developed an...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468030/ https://www.ncbi.nlm.nih.gov/pubmed/36097044 http://dx.doi.org/10.1038/s41598-022-19391-2 |
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author | Muto, Kyoko Tsuchiya, Issei Kim, Soo Hyeon Nagasawa, Satoi Takishita, Mariko Tsugawa, Koichiro Saito, Hiroaki Komazaki, Yusuke Torii, Toru Fujii, Teruo Suzuki, Yutaka Suzuki, Ayako Seki, Masahide |
author_facet | Muto, Kyoko Tsuchiya, Issei Kim, Soo Hyeon Nagasawa, Satoi Takishita, Mariko Tsugawa, Koichiro Saito, Hiroaki Komazaki, Yusuke Torii, Toru Fujii, Teruo Suzuki, Yutaka Suzuki, Ayako Seki, Masahide |
author_sort | Muto, Kyoko |
collection | PubMed |
description | When biologically interpretation of the data obtained from the single-cell RNA sequencing (scRNA-seq) analysis is attempted, additional information on the location of the single cells, behavior of the surrounding cells, and the microenvironment they generate, would be very important. We developed an inexpensive, high throughput application while preserving spatial organization, named “semibulk RNA-seq” (sbRNA-seq). We utilized a microfluidic device specifically designed for the experiments to encapsulate both a barcoded bead and a cell aggregate (a semibulk) into a single droplet. Using sbRNA-seq, we firstly analyzed mouse kidney specimens. In the mouse model, we could associate the pathological information with the gene expression information. We validated the results using spatial transcriptome analysis and found them highly consistent. When we applied the sbRNA-seq analysis to the human breast cancer specimens, we identified spatial interactions between a particular population of immune cells and that of cancer-associated fibroblast cells, which were not precisely represented solely by the single-cell analysis. Semibulk analysis may provide a convenient and versatile method, compared to a standard spatial transcriptome sequencing platform, to associate spatial information with transcriptome information. |
format | Online Article Text |
id | pubmed-9468030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94680302022-09-14 Semibulk RNA-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment Muto, Kyoko Tsuchiya, Issei Kim, Soo Hyeon Nagasawa, Satoi Takishita, Mariko Tsugawa, Koichiro Saito, Hiroaki Komazaki, Yusuke Torii, Toru Fujii, Teruo Suzuki, Yutaka Suzuki, Ayako Seki, Masahide Sci Rep Article When biologically interpretation of the data obtained from the single-cell RNA sequencing (scRNA-seq) analysis is attempted, additional information on the location of the single cells, behavior of the surrounding cells, and the microenvironment they generate, would be very important. We developed an inexpensive, high throughput application while preserving spatial organization, named “semibulk RNA-seq” (sbRNA-seq). We utilized a microfluidic device specifically designed for the experiments to encapsulate both a barcoded bead and a cell aggregate (a semibulk) into a single droplet. Using sbRNA-seq, we firstly analyzed mouse kidney specimens. In the mouse model, we could associate the pathological information with the gene expression information. We validated the results using spatial transcriptome analysis and found them highly consistent. When we applied the sbRNA-seq analysis to the human breast cancer specimens, we identified spatial interactions between a particular population of immune cells and that of cancer-associated fibroblast cells, which were not precisely represented solely by the single-cell analysis. Semibulk analysis may provide a convenient and versatile method, compared to a standard spatial transcriptome sequencing platform, to associate spatial information with transcriptome information. Nature Publishing Group UK 2022-09-12 /pmc/articles/PMC9468030/ /pubmed/36097044 http://dx.doi.org/10.1038/s41598-022-19391-2 Text en © The Author(s) 2022 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Muto, Kyoko Tsuchiya, Issei Kim, Soo Hyeon Nagasawa, Satoi Takishita, Mariko Tsugawa, Koichiro Saito, Hiroaki Komazaki, Yusuke Torii, Toru Fujii, Teruo Suzuki, Yutaka Suzuki, Ayako Seki, Masahide Semibulk RNA-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment |
title | Semibulk RNA-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment |
title_full | Semibulk RNA-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment |
title_fullStr | Semibulk RNA-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment |
title_full_unstemmed | Semibulk RNA-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment |
title_short | Semibulk RNA-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment |
title_sort | semibulk rna-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468030/ https://www.ncbi.nlm.nih.gov/pubmed/36097044 http://dx.doi.org/10.1038/s41598-022-19391-2 |
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