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Updated: Jul 17, 2025

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Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling.

Ying Yu1, Wanwan Hou1, Yaqing Liu1

  • 1State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Shanghai Cancer Center, Fudan University, Shanghai, China.

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|September 7, 2023
PubMed
Summary
This summary is machine-generated.

Certified RNA reference materials from a twin family aid RNA sequencing quality control. These resources help detect subtle biological differences for improved clinical diagnostics and research.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Reliable RNA sequencing is crucial for detecting subtle biological variations in clinical settings, such as disease subtyping.
  • Quality control and data integration are essential for multi-omics profiling in research and clinical applications.

Purpose of the Study:

  • To establish certified RNA reference materials for assessing RNA sequencing reliability.
  • To create ratio-based transcriptome-wide reference datasets for cross-platform and cross-laboratory validation.
  • To enable sensitive assessment of transcriptomic data integration and quality.

Main Methods:

  • Development of four RNA reference materials from immortalized B-lymphoblastoid cell lines of monozygotic twins (Quartet Project).
  • Construction of ratio-based transcriptome-wide reference datasets between sample pairs.
  • Utilizing subtle biological differences among Quartet samples for quality assessment.

Main Results:

  • Established certified RNA reference materials and ratio-based transcriptome datasets.
  • Demonstrated the utility of these materials for assessing cross-batch integration of transcriptomic data at the ratio level.
  • Provided a 'ground truth' for transcriptome-wide comparisons across platforms and laboratories.

Conclusions:

  • The Quartet RNA reference materials and associated datasets are valuable resources for quality assessment in transcriptomics.
  • These materials support the improvement of transcriptomic data quality in both clinical and biological research.
  • Enhances the reliability of RNA sequencing for detecting small biological differences, aiding molecular subtyping and diagnostics.