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Related Concept Videos

RNA-seq03:21

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Related Experiment Video

Updated: Sep 14, 2025

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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Automated high-throughput profiling of single-cell total transcriptome with scComplete-seq.

Fatma Betül Dinçaslan1,2, Shaun Wei Yang Ngang1,2, Rui Zhen Tan3

  • 1Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117583, Singapore.

Nucleic Acids Research
|July 19, 2025
PubMed
Summary
This summary is machine-generated.

We developed scComplete-seq, a novel single-cell sequencing method to detect both polyadenylated and nonpolyadenylated RNA. This breakthrough reveals nonpolyadenylated RNAs, crucial for understanding cellular functions.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Single-cell analysis

Background:

  • Understanding the complete transcriptome, encompassing both polyadenylated and nonpolyadenylated RNA, is essential for elucidating cellular functions.
  • Current single-cell analysis methods face limitations in comprehensively assessing the total cellular transcriptome due to a lack of automated, high-throughput assays.

Purpose of the Study:

  • To develop and validate scComplete-seq, an enhanced droplet-based single-cell sequencing method.
  • To enable high-throughput detection of the nonpolyadenylated transcriptome at single-cell resolution.

Main Methods:

  • Enhancement of existing droplet-based single-cell mRNA sequencing.
  • Application of scComplete-seq to detect long and short nonpolyadenylated RNAs.
  • Analysis of transcriptomic changes in cancer cells and peripheral blood mononuclear cells (PBMCs).

Main Results:

  • scComplete-seq successfully detects nonpolyadenylated RNAs, including histone RNAs and enhancer RNAs, in single cells.
  • The method provides single-cell resolution for analyzing the nonpolyadenylated transcriptome.
  • Transcriptomic alterations in PBMCs under different stimulations were identified, highlighting specific biological processes and enhancer activities.

Conclusions:

  • scComplete-seq offers a powerful tool for comprehensive single-cell transcriptome analysis.
  • The method facilitates the study of nonpolyadenylated RNAs, expanding our understanding of cellular biology.
  • scComplete-seq can reveal dynamic transcriptomic changes and regulatory mechanisms in response to cellular stimuli.