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Published on: September 16, 2019
StringTie3 improves total RNA-seq assembly by resolving nascent and mature transcripts
Ida Shinder1,2, Geo Pertea3, Richard Hu4,5
1Cross Disciplinary Graduate Program in Biomedical Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA. ishinde1@jhmi.edu.
Nature Methods
|May 19, 2026
Summary
StringTie3 improves RNA sequencing (RNA-seq) by distinguishing nascent from mature transcripts, reducing errors in total RNA-seq assembly and analysis. This advancement aids in understanding gene regulation.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Accurate RNA sequencing (RNA-seq) assembly is crucial but challenged by conflating nascent and mature RNA.
- Existing methods lead to misassemblies and quantification errors in total RNA sequencing.
Purpose of the Study:
- To introduce StringTie3, an updated assembler for total RNA-seq, designed to differentiate nascent and mature transcripts.
- To improve the accuracy of RNA-seq assembly and analysis, particularly for total RNA samples.
Main Methods:
- StringTie3 incorporates a nascent mode to model co-transcriptional splicing, separating nascent from mature transcripts.
- A refined long-read module distinguishes true polyadenylation sites from artifacts.
- Evaluated across short-, long-, and hybrid-read datasets.
Main Results:
- StringTie3 significantly reduces assembly errors compared to existing tools.
- Nascent-mode analysis in Argonaute knockout experiments showed distinct effects on nascent vs. mature RNA.
- Discordant nascent and mature expression in breast cancer samples suggests posttranscriptional regulation.
Conclusions:
- StringTie3 offers a robust framework for analyzing total RNA-seq data.
- The tool enhances the investigation of transcriptional and posttranscriptional regulatory processes.
- StringTie3 improves the accuracy of RNA isoform assembly and quantification.
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