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Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
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Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling
Maria D Giraldez1, Ryan M Spengler1, Alton Etheridge2
1Department of Internal Medicine, Hematology/Oncology Division, University of Michigan, Ann Arbor, Michigan, USA.
Nature Biotechnology
|July 17, 2018
Summary
Small RNA sequencing (RNA-seq) library preparation methods show biases, impacting accuracy. Degenerate base adapters mitigate these issues, ensuring accurate microRNA quantification across labs and methods.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- RNA sequencing is a key tool for small RNA profiling in various biological samples.
- Existing small RNA library preparation methods lack systematic validation for accuracy and reproducibility.
- Understanding biases in small RNA-seq is crucial for reliable quantitative analysis.
Purpose of the Study:
- To systematically evaluate the accuracy and reproducibility of different small RNA sequencing library preparation methods.
- To identify and characterize protocol- and sequence-specific biases in small RNA-seq.
- To assess the impact of library preparation on microRNA quantification and adenosine-to-inosine editing detection.
Main Methods:
- A consortium of nine laboratories independently sequenced reference samples of synthetic small RNAs and human plasma-derived RNA.
- Three commercial library preparation methods using defined adapters and six using degenerate base adapters were assessed.
- Performance was evaluated based on accuracy, reproducibility, and identification of biases, including those affecting microRNA editing.
Main Results:
- Both protocol- and sequence-specific biases were identified across tested small RNA-seq library preparation methods.
- Biases were found to reduce the accuracy of detecting adenosine-to-inosine editing in microRNAs.
- Library preparation methods incorporating degenerate base adapters demonstrated mitigation of identified biases.
- Relative microRNA quantification between samples using small RNA-seq proved accurate and reproducible across laboratories and methods.
Conclusions:
- Small RNA sequencing library preparation methods exhibit significant biases that can affect quantitative profiling.
- The use of degenerate base adapters in library preparation is recommended to improve accuracy and reproducibility.
- Despite identified biases, microRNA relative quantification via small RNA-seq is robust and reproducible across diverse methods and laboratories.
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