Abstract
The rapid development of high-throughput parallel sequencing poses new challenges for large-scale barcoding and sequencing library construction. Here, we present droplet combinational indexed transposon insertion sequencing (dCITI-Seq), in which samples are indexed by the direct insertion of index-containing adaptors through transposition. The random combination of two sets of adaptors with known barcodes and massively parallel transposition was realized via a robust droplet pairing and merging platform. This strategy potentially enlarges the indexing capacity and decreases index crosstalk. Also, dCITI-Seq exhibited a lower GC base preference than conventional in-tube transposition library preparation. With a custom bioinformatic processing, it could be further applied to large-scale single-cell sequencing.
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Funding
This work was supported by the Natural Science Foundation of Jiangsu Province (BK20211513), National Natural Science Foundation of China (61971125), and Six Talent Peaks Project of Jiangsu Province (2019-SWYY-004).
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Conceptualization: Jing Tu. Investigation and methodology: Yi Qiao, Zheyun Xu, Naiyun Long. Data curation and formal analysis: Zheyun Xu, Na Lu. Resources and supervision: Jing Tu, Zuhong Lu. Writing—original draft: Jing Tu, Yi Qiao, Zheyun Xu. Writing, review, and editing: Jing Tu, Yi Qiao.
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Tu, J., Qiao, Y., Xu, Z. et al. dCITI-Seq: droplet combinational indexed transposon insertion sequencing. Anal Bioanal Chem 414, 2661–2670 (2022). https://doi.org/10.1007/s00216-022-03902-1
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DOI: https://doi.org/10.1007/s00216-022-03902-1