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.
Automated high-throughput profiling of single-cell total transcriptome with scComplete-seq
利用 scComplete-seq 实现单细胞总转录组的自动化高通量分析
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作者:Fatma Betül Dinçaslan ,Shaun Wei Yang Ngang ,Rui Zhen Tan ,Lih Feng Cheow
| 期刊: | Nucleic Acids Research | 影响因子: | 16.600 |
| 时间: | 2025 | 起止号: | 2025 Jul 19;53(14):gkaf699. |
| doi: | 10.1093/nar/gkaf699 | 研究方向: | 细胞生物学 |
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