A comparison between SOLiD 5500XLand Ion Torrent PGM-derived miRNA expression profiles in two breast cell lines

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Next-generation sequencing (NGS) enables large-scale microRNA (miRNA) expression quantification.
• Comparisons of quantification and discovery capabilities across different NGS platforms are limited.
• Understanding platform-specific biases is crucial for accurate miRNA analysis.

Purpose of the Study:

• To compare the microRNA identification and quantification capabilities of two NGS platforms: SOLiD and PGM.
• To evaluate potential platform-specific biases in miRNA expression data.
• To assess the consistency of miRNA expression profiling between the two platforms.

Main Methods:

• Analysis of microRNA expression using SOLiD and PGM sequencing platforms.
• Utilized two breast-derived cell lines for comparative analysis.
• Statistical analysis to assess expression correlation and identify quantification divergences.

Main Results:

• High expression correlation (R2 > 0.9) observed for 97% of miRNAs between SOLiD and PGM.
• Minor discrepancies in miRNA counts were linked to low-expression molecules.
• Identified specific miRNAs with artefactual representation, showing enrichment of uracil (PGM) or adenine (SOLiD) bases/stretches.

Conclusions:

• Both SOLiD and PGM platforms are largely consistent and interchangeable for miRNA expression studies.
• Specific sequence features (e.g., uracil or adenine content) can indicate platform-specific biases.
• Consideration of these sequence features is recommended for accurate miRNA database analyses.