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

Abstract We developed an automated high-throughput Smart-seq3 (HT Smart-seq3) workflow that integrates best practices and an optimized protocol to enhance efficiency, scalability, and method reproducibility. This workflow consistently produces high-quality data with high cell capture efficiency and...

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Main Authors: Hsiu-Chun Chuang, Ruidong Li, Huang Huang, Szu-Wen Liu, Christine Wan, Subhra Chaudhuri, Lili Yue, Terence Wong, Venina Dominical, Randy Yen, Olivia Ngo, Nam Bui, Hubert Stoppler, Tangsheng Yi, Silpa Suthram, Li Li, Kai-Hui Sun
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Genomics
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Online Access:https://doi.org/10.1186/s12864-024-11036-0
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Summary:Abstract We developed an automated high-throughput Smart-seq3 (HT Smart-seq3) workflow that integrates best practices and an optimized protocol to enhance efficiency, scalability, and method reproducibility. This workflow consistently produces high-quality data with high cell capture efficiency and gene detection sensitivity. In a rigorous comparison with the 10X platform using human primary CD4 + T-cells, HT Smart-seq3 demonstrated higher cell capture efficiency, greater gene detection sensitivity, and lower dropout rates. Additionally, when sufficiently scaled, HT Smart-seq3 achieved a comparable resolution of cellular heterogeneity to 10X. Notably, through T-cell receptor (TCR) reconstruction, HT Smart-seq3 identified a greater number of productive alpha and beta chain pairs without the need for additional primer design to amplify full-length V(D)J segments, enabling more comprehensive TCR profiling across a broader range of species. Taken together, HT Smart-seq3 overcomes key technical challenges, offering distinct advantages that position it as a promising solution for the characterization of single-cell transcriptomes and immune repertoires, particularly well-suited for low-input, low-RNA content samples.
ISSN:1471-2164