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Enhanced transcriptome-wide RNA G-quadruplex sequencing for low RNA input samples with rG4-seq 2.0
Jieyu Zhao1, Eugene Yui-Ching Chow2, Pui Yan Yeung1
1Department of Chemistry, and State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon Tong, Hong Kong, SAR, China.
BMC Biology
|November 14, 2022
Summary
We improved RNA G-quadruplex structure sequencing (rG4-seq) with rG4-seq 2.0, enabling detection of rG4s in low RNA samples. This enhanced method simplifies library preparation and increases yield for studying these important RNA structures.
Area of Science:
- Molecular Biology
- Genomics
- RNA Structure
Background:
- RNA G-quadruplexes (rG4s) are crucial regulatory motifs in various cellular processes.
- The original rG4-seq technique was limited by complex purification and low PCR yield, requiring substantial RNA input.
- This limitation hindered studies using scarce biological samples.
Purpose of the Study:
- To redesign and enhance the rG4-seq workflow for improved efficiency and broader applicability.
- To overcome the limitations of high RNA input requirements in the previous rG4-seq method.
- To enable reliable rG4 identification in samples with limited RNA availability.
Main Methods:
- Developed rG4-seq 2.0, incorporating a deoxyuridine-containing ssDNA adapter.
- Streamlined library preparation by eliminating the gel purification step.
- Reduced PCR amplification cycles and increased PCR product yield.
Main Results:
- rG4-seq 2.0 generates high-quality cDNA libraries suitable for reproducible rG4 identification.
- The method reliably detects rG4s even with RNA inputs as low as 10 ng.
- rG4-seq 2.0 improved rG4 calling accuracy and reduced nucleotide bias compared to the previous version.
Conclusions:
- rG4-seq 2.0 significantly enhances the identification and study of rG4s in low-abundance transcripts.
- The optimized workflow provides valuable insights for improving cDNA library preparation in related sequencing methods.
- This advancement facilitates rG4 research in clinically relevant scenarios with limited RNA.
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