Project 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 because cell abundancy might affect to the network. We developed terminator-assisted solid-phase cDNA amplification and sequencing (TAS-Seq), a scRNA-seq method that relied on terminator, terminal transferase, and nanowell/beads-based scRNA-seq platform, that could acquire scRNA-seq data with higher correlation with flow-cytometric data, gene-detection sensitivity, and robustness than widely-used methods.
Project 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 because cell abundancy might affect to the network. We developed terminator-assisted solid-phase cDNA amplification and sequencing (TAS-Seq), a scRNA-seq method that relied on terminator, terminal transferase, and nanowell/beads-based scRNA-seq platform, that could acquire scRNA-seq data with higher correlation with flow-cytometric data, gene-detection sensitivity, and robustness than widely-used methods.
Project 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 because cell abundancy might affect to the network. We developed terminator-assisted solid-phase cDNA amplification and sequencing (TAS-Seq), a scRNA-seq method that relied on terminator, terminal transferase, and nanowell/beads-based scRNA-seq platform, that could acquire scRNA-seq data with higher correlation with flow-cytometric data, gene-detection sensitivity, and robustness than widely-used methods.
