Automated high-throughput profiling of single-cell total transcriptome with scComplete-seq

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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Publication Details

Journal
Nucleic Acids Research
Published
2025-07-19
DOI
https://doi.org/10.1093/nar/gkaf699
Citations
4
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
3.22

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article

Automated high-throughput profiling of single-cell total transcriptome with scComplete-seq

Fatma Betül Dinçaslan, Lih Feng Cheow, Rui Zhen Tan, Shaun Wei Yang Ngang
4 citations
Nucleic Acids Research
Single-cell and spatial transcriptomics
3.22
article

Automated high-throughput profiling of single-cell total transcriptome with scComplete-seq

Fatma Betül Dinçaslan, Lih Feng Cheow, Rui Zhen Tan, Shaun Wei Yang Ngang
article en
4 citations

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.

Nucleic Acids ResearchVol. 53(14)
National University of Singapore (SG), Singapore Institute of Technology (SG), National University Health System (SG)
National University of Singapore
Openalex Percentile: Top 8%
Single-cell and spatial transcriptomics
3.22
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Automated high-throughput profiling of single-cell total transcriptome with scComplete-seq — Fatma Betül Dinçaslan, Lih Feng Cheow, et al. · Nucleic Acids Research (2025) | TGRS Research Map | TGRS