ArticleNucleic acids research2025
Automated high-throughput profiling of single-cell total transcriptome with scComplete-seq.
Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Gigabase-scale deletion scanning of the human genome.bioRxiv : the preprint server for biology · 2026Article
- Scalable single-cell total RNA sequencing unifies coding and noncoding transcriptomics.Nature biotechnology · 2026Article
- RAG-seq: NSR-primed and Transposase Tagmentation-mediated Strand-specific Total RNA Sequencing in Single Cells.Genomics, proteomics & bioinformatics · 2024Article
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Authors and funding
4 authors.
Funding
Abstract
Detecting the complete transcriptome, including polyadenylated and nonpolyadenylated RNA, is crucial for understanding cellular roles. However, current efforts to investigate the total cellular transcriptome in single cells are limited by the lack of an automated, high-throughput assay. We developed scComplete-seq, a method that enhances existing droplet-based single-cell mRNA sequencing to provide insights into the nonpolyadenylated transcriptome. This method allows us to detect long and short nonpolyadenylated RNAs at single-cell resolution, including histone RNAs and enhancer RNAs in cancer cells and peripheral blood mononuclear cells (PBMCs). Using scComplete-seq, we identified transcriptomic changes in PBMCs under various stimulations, revealing specific biological processes and associated enhancer activities.
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