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TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq

Single-cell RNA-sequencing (scRNA-seq) is valuable for analyzing cellular heterogeneity. Cell composition accuracy is critical for analyzing cell–cell interaction networks from scRNA-seq data. However, droplet- and plate-based scRNA-seq techniques have cell sampling bias that could affect the cell c...

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Autores principales: Shichino, Shigeyuki, Ueha, Satoshi, Hashimoto, Shinichi, Ogawa, Tatsuro, Aoki, Hiroyasu, Wu, Bin, Chen, Chang-Yu, Kitabatake, Masahiro, Ouji-Sageshima, Noriko, Sawabata, Noriyoshi, Kawaguchi, Takeshi, Okayama, Toshitugu, Sugihara, Eiji, Hontsu, Shigeto, Ito, Toshihiro, Iwata, Yasunori, Wada, Takashi, Ikeo, Kazuho, Sato, Taka-Aki, Matsushima, Kouji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245575/
https://www.ncbi.nlm.nih.gov/pubmed/35760847
http://dx.doi.org/10.1038/s42003-022-03536-0
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author Shichino, Shigeyuki
Ueha, Satoshi
Hashimoto, Shinichi
Ogawa, Tatsuro
Aoki, Hiroyasu
Wu, Bin
Chen, Chang-Yu
Kitabatake, Masahiro
Ouji-Sageshima, Noriko
Sawabata, Noriyoshi
Kawaguchi, Takeshi
Okayama, Toshitugu
Sugihara, Eiji
Hontsu, Shigeto
Ito, Toshihiro
Iwata, Yasunori
Wada, Takashi
Ikeo, Kazuho
Sato, Taka-Aki
Matsushima, Kouji
author_facet Shichino, Shigeyuki
Ueha, Satoshi
Hashimoto, Shinichi
Ogawa, Tatsuro
Aoki, Hiroyasu
Wu, Bin
Chen, Chang-Yu
Kitabatake, Masahiro
Ouji-Sageshima, Noriko
Sawabata, Noriyoshi
Kawaguchi, Takeshi
Okayama, Toshitugu
Sugihara, Eiji
Hontsu, Shigeto
Ito, Toshihiro
Iwata, Yasunori
Wada, Takashi
Ikeo, Kazuho
Sato, Taka-Aki
Matsushima, Kouji
author_sort Shichino, Shigeyuki
collection PubMed
description Single-cell RNA-sequencing (scRNA-seq) is valuable for analyzing cellular heterogeneity. Cell composition accuracy is critical for analyzing cell–cell interaction networks from scRNA-seq data. However, droplet- and plate-based scRNA-seq techniques have cell sampling bias that could affect the cell composition of scRNA-seq datasets. Here we developed terminator-assisted solid-phase cDNA amplification and sequencing (TAS-Seq) for scRNA-seq based on a terminator, terminal transferase, and nanowell/bead-based scRNA-seq platform. TAS-Seq showed high tolerance to variations in the terminal transferase reaction, which complicate the handling of existing terminal transferase-based scRNA-seq methods. In murine and human lung samples, TAS-Seq yielded scRNA-seq data that were highly correlated with flow-cytometric data, showing higher gene-detection sensitivity and more robust detection of important cell–cell interactions and expression of growth factors/interleukins in cell subsets than 10X Chromium v2 and Smart-seq2. Expanding TAS-Seq application will improve understanding and atlas construction of lung biology at the single-cell level.
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spelling pubmed-92455752022-07-01 TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq Shichino, Shigeyuki Ueha, Satoshi Hashimoto, Shinichi Ogawa, Tatsuro Aoki, Hiroyasu Wu, Bin Chen, Chang-Yu Kitabatake, Masahiro Ouji-Sageshima, Noriko Sawabata, Noriyoshi Kawaguchi, Takeshi Okayama, Toshitugu Sugihara, Eiji Hontsu, Shigeto Ito, Toshihiro Iwata, Yasunori Wada, Takashi Ikeo, Kazuho Sato, Taka-Aki Matsushima, Kouji Commun Biol Article Single-cell RNA-sequencing (scRNA-seq) is valuable for analyzing cellular heterogeneity. Cell composition accuracy is critical for analyzing cell–cell interaction networks from scRNA-seq data. However, droplet- and plate-based scRNA-seq techniques have cell sampling bias that could affect the cell composition of scRNA-seq datasets. Here we developed terminator-assisted solid-phase cDNA amplification and sequencing (TAS-Seq) for scRNA-seq based on a terminator, terminal transferase, and nanowell/bead-based scRNA-seq platform. TAS-Seq showed high tolerance to variations in the terminal transferase reaction, which complicate the handling of existing terminal transferase-based scRNA-seq methods. In murine and human lung samples, TAS-Seq yielded scRNA-seq data that were highly correlated with flow-cytometric data, showing higher gene-detection sensitivity and more robust detection of important cell–cell interactions and expression of growth factors/interleukins in cell subsets than 10X Chromium v2 and Smart-seq2. Expanding TAS-Seq application will improve understanding and atlas construction of lung biology at the single-cell level. Nature Publishing Group UK 2022-06-27 /pmc/articles/PMC9245575/ /pubmed/35760847 http://dx.doi.org/10.1038/s42003-022-03536-0 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 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
Shichino, Shigeyuki
Ueha, Satoshi
Hashimoto, Shinichi
Ogawa, Tatsuro
Aoki, Hiroyasu
Wu, Bin
Chen, Chang-Yu
Kitabatake, Masahiro
Ouji-Sageshima, Noriko
Sawabata, Noriyoshi
Kawaguchi, Takeshi
Okayama, Toshitugu
Sugihara, Eiji
Hontsu, Shigeto
Ito, Toshihiro
Iwata, Yasunori
Wada, Takashi
Ikeo, Kazuho
Sato, Taka-Aki
Matsushima, Kouji
TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq
title TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq
title_full TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq
title_fullStr TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq
title_full_unstemmed TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq
title_short TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq
title_sort tas-seq is a robust and sensitive amplification method for bead-based scrna-seq
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245575/
https://www.ncbi.nlm.nih.gov/pubmed/35760847
http://dx.doi.org/10.1038/s42003-022-03536-0
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