High‐Resolution Multiplexed Sequencing of Single‐Cell Full‐length Transcriptome Via Combinational Barcoded Tn5 Transposon Insertion
The technological advancements in single-cell transcriptome analysis make significant progress in both depth and breadth. However, balancing the cell analysis throughput with full-length transcript coverage remains a persistent challenge. Here, CBTi-seq (Combinational Barcoded Tn5 Transposon Insertion sequencing) is reported, leveraging Tn5 transposase-mediated molecular assembly of combinatorial barcodes and unique molecular identifiers (UMIs) to enable high-resolution multiplexed sequencing of the full-length transcriptome in single cells. This approach achieves molecular resolution by end-to-end sequencing, enabling unambiguous reconstruction of splice variants and structural variations with base-pair precision. The design of orthogonal combination barcode Tn5 reduces DNA barcode diversity while enhancing multiplexing flexibility, and Tn5-delivered UMIs insertion eliminates read bias, providing accurately quantifies transcript abundance through the tagging of each fragment. The method is compatible with both single-cell and spatially resolved tissue microenvironment. Compared with commercial terminal library and other full-length sequencing methods, CBTi-seq achieves superior sensitivity and resolution while significantly reducing costs and work time (≈5 h). Moreover, cell-type-specific alternative splicing patterns are robustly identified in both gene-edited cells and human testicular cells, leveraging this high-resolution capability to further reveal modality dynamic events and isoform switching independent of gene expression changes during spermatogenesis with the potential to reproductive development and diagnostic treatment.
Authors
- Li ZhengYue (ORCID: https://orcid.org/0000-0003-4313-4618)
- Kaitong Dang
- Chencheng Yao (ORCID: https://orcid.org/0000-0002-8820-7895)
- Peng Li (ORCID: https://orcid.org/0000-0002-7041-9267)
- Kaiqiang Ye
- Wenbo Li (ORCID: https://orcid.org/0000-0002-6586-6118)
- Wenyi Zhang (ORCID: https://orcid.org/0000-0001-5530-4210)
- Handong Wang (ORCID: https://orcid.org/0000-0001-5989-9338)
- Wenjia Wang (ORCID: https://orcid.org/0000-0002-3023-4698)
- Qian Sun (ORCID: https://orcid.org/0000-0002-0297-5376)
- Xiangwei Zhao
- Liyong He
- Yan Guo (ORCID: https://orcid.org/0000-0001-5446-9486)
- Yan Huang (ORCID: https://orcid.org/0000-0003-2039-7167)
- Zheng Li
Institutions
- Northwestern University (US)
- Shanghai Jiao Tong University (CN)
- Nantong University (CN)
- Shanghai Mental Health Center (CN)
- Southeast University (BD)
- The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN)
- Shanghai Institute of Hematology (CN)
- Southeast University (CN)
- Taizhou University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1002/advs.202516013
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China