ArticleCommunications biology2022
TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 45 citations in OpenAlex.
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- Novel Cell-to-Cell Communications Between Macrophages and Fibroblasts Regulate Obesity-Induced Adipose Tissue Fibrosis.Diabetes · 2025Article
- Atopic skin inflammation promotes systemic anaphylactic responses via IL-13 signaling in conventional dendritic cells.Research square · 2025Article
- Mechanistic elucidation of human pancreatic acinar development using single-cell transcriptome analysis on a human iPSC differentiation model.Scientific reports · 2025Article
- Performance comparison of high throughput single-cell RNA-Seq platforms in complex tissues.Heliyon · 2024Article
- Stage-specific GATA3 induction promotes ILC2 development after lineage commitment.Nature communications · 2024Article
- SFTPB in serum extracellular vesicles as a biomarker of progressive pulmonary fibrosis.JCI insight · 2024Article
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- Single-cell transcriptomics identifies the differentiation trajectory from inflammatory monocytes to pro-resolving macrophages in a mouse skin allergy model.Nature communications · 2024Article
- Novel insights into the ontogeny of basophils.Frontiers in allergy · 2024Review
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- Single cell transcriptomics clarifies the basophil differentiation trajectory and identifies pre-basophils upstream of mature basophils.Nature communications · 2023Article
Corrections and comments
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Authors and funding
20 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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