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Related Experiment Video

Updated: Feb 8, 2026

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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Amplification Optimized and Unique Molecular Identifier Guided High Accuracy Full-length CircRNA Sequencing.

Yueqi Jin1, Xueyan Hu1,2, Yun Zhang1

  • 1Department of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.

Genomics, Proteomics & Bioinformatics
|February 6, 2026
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Summary

This study introduces ucircFL-seq, a novel sequencing method that improves the accuracy of circular RNA (circRNA) identification and quantification. This advancement helps resolve inconsistencies between sequencing platforms for better circRNA research.

Keywords:
Full-length circular RNALong-read sequencingUnique molecular identifiercircRNAucircFL-seq

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Area of Science:

  • Molecular Biology
  • Genomics
  • RNA Biology

Background:

  • Circular RNAs (circRNAs) are regulatory noncoding RNAs with critical roles in physiological processes and diseases.
  • Accurate identification and quantification of circRNAs are essential for understanding their functions and clinical relevance.
  • Existing high-throughput sequencing workflows show inconsistencies, partly due to library preparation errors.

Purpose of the Study:

  • To investigate the causes of inconsistencies in circRNA identification workflows.
  • To develop an improved method for accurate full-length circRNA sequencing and quantification.
  • To enhance cross-platform concordance in circRNA detection.

Main Methods:

  • Established a UMI-based full-length circRNA sequencing method (ucircFL-seq).
  • Optimized signal amplification procedures within the sequencing workflow.
  • Employed Unique Molecular Identifiers (UMIs) to improve accuracy.

Main Results:

  • Confirmed sequencing errors during library preparation contribute to workflow inconsistencies.
  • ucircFL-seq significantly enhanced the accuracy of circRNA detection and quantification.
  • Achieved stronger cross-platform concordance for circRNA identification.
  • Identified distinct circRNA pools between platforms with differing lengths and structures.

Conclusions:

  • ucircFL-seq offers a UMI-guided approach to improve full-length circRNA identification and quantification accuracy.
  • The findings suggest complementary roles for different sequencing platforms in circRNA discovery.
  • This method facilitates further functional exploration of circRNAs.