Cargando…

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...

Descripción completa

Detalles Bibliográficos
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
Descripción
Sumario: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.