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Single-cell sequencing of full-length transcripts and T-cell receptors with automated high-throughput Smart-seq3 [10X]

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP516513
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We developed an automated high-throughput Smart-seq3 (HT Smart-seq3) workflow via robotic implementation and established best practices to consistently achieve high cell capture efficiency and data quality. In comparison with the 10X platform, HT Smart-seq3 analysis of primary CD4+ T-cells demonstrated superior sensitivity in gene detection and similar capability to capture major cellular heterogeneity upon sufficient scaling up. Notably, through T-cell receptor (TCR) reconstruction, HT Smart-seq3 identified more productive pairs of alpha and beta chains without additional primer design, enabling more comprehensive profiling of TCRs. Collectively, HT Smart-seq3 provides a cost-effective and scalable method for characterization of single-cell transcriptomes and immune repertoires. Overall design: PPBMCs were isolated from two healthy donors and subsequently treated with either DMSO (vehicle) or PMA/Ionomycin. After a 3-hour incubation, CD4+ T-cells were sorted by FACS. 10X Genomics Chromium Next GEM Single Cell 5' Kit (v2) was used to generate GEX and VDJ libraries for each sample.
创建时间:
2025-02-04
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