DV200 Index for Assessing RNA Integrity in Next-Generation Sequencing.

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• Accurate next-generation sequencing (NGS) analysis relies on high-quality biological samples.
• Evaluating RNA integrity is crucial for reliable NGS results.
• Common RNA quality metrics include RNA Integrity Number equivalent (RINe) and DV200.

Purpose of the Study:

• To compare the efficacy of RINe and DV200 as RNA quality indicators for NGS analysis.
• To determine the most suitable RNA quality index for predicting successful library production.

Main Methods:

• Seventy-one RNA samples from diverse sources (FFPE, fresh-frozen, cell lines) were analyzed.
• RNA quality was assessed using both RINe and DV200 metrics.
• Stranded mRNA sequencing libraries were prepared, and the correlation between RNA quality indices and library yield was calculated.

Main Results:

• DV200 demonstrated a stronger correlation with the amount of library product (R² = 0.8208) compared to RINe (R² = 0.6927).
• Receiver operating characteristic (ROC) curve analysis indicated DV200 is a better predictor of efficient library production.
• Optimal cutoffs were identified: DV200 > 66.1% and RINe > 2.3 for predicting efficient library production.

Conclusions:

• DV200 is a more reliable indicator than RINe for assessing RNA quality for NGS library preparation.
• RNA samples with DV200 > 66.1% yield more sensitive and specific NGS libraries compared to those with RINe > 2.3.
• DV200 is particularly advantageous for evaluating low-quality RNA samples.