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Sources of non-uniform coverage in short-read RNA-Seq data
Thomas G Brooks1, Nicholas F Lahens1, Antonijo Mrčela1
1Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA.
Biorxiv : the Preprint Server for Biology
|February 20, 2025
Summary
RNA splicing is crucial for cellular functions, but RNA-Seq data shows coverage non-uniformity. This study investigates eight sources, finding no single cause and challenging prior assumptions about RNA-Seq analysis.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- RNA splicing is fundamental to normal cellular functions and disease.
- Short-read RNA sequencing (RNA-Seq) is the standard for transcriptome quantification.
- Extreme non-uniformity in RNA-Seq coverage across transcripts is a major technical artifact, hindering accurate isoform-level analysis.
Purpose of the Study:
- To identify and investigate the sources of non-uniformity in RNA-Seq library preparation.
- To critically evaluate factors influencing RNA-Seq coverage, challenging existing hypotheses.
Main Methods:
- Exploration of eight potential sources of non-uniformity.
- Targeted experiments on fragment length, PCR ramp rate, and ribosomal depletion.
- Assessment of existing datasets with variations in sample quality, PCR cycles, and reverse transcriptase.
Main Results:
- Non-uniformity in RNA-Seq coverage is multifactorial and cannot be attributed to a single cause.
- Secondary structures unlikely to significantly interfere with reverse transcription.
- Ribosomal depletion methods do not introduce non-uniformity.
- PCR ramp rate and fragment length have minimal impact on coverage non-uniformity, contradicting previous recommendations.
Conclusions:
- Existing RNA-Seq protocols and analysis methods may need re-evaluation due to the multifactorial nature of coverage non-uniformity.
- Findings challenge common assumptions and prior publications regarding RNA-Seq artifacts.
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