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Optimizing Small RNA Sequencing for Salivary Biomarker Identification: A Comparative Study of Library Preparation
Ulrike Kegler1, Nathalie Ropek1, Manuela Hofner1
1Competence Unit Molecular Diagnostics, Center for Health & Bioresources, Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria.
International Journal of Molecular Sciences
|December 11, 2025
Summary
Choosing the right library preparation kit is crucial for accurate microRNA (miRNA) profiling in saliva and plasma. The QIASeq kit demonstrated superior performance in detecting diverse miRNAs, supporting saliva
Area of Science:
- Molecular Biology
- Genomics
- Biomarker Discovery
Background:
- MicroRNAs (miRNAs) are key gene regulators with diagnostic potential.
- Saliva offers a non-invasive source for miRNA biomarker analysis.
- Next-generation sequencing (NGS) miRNA profiling is sensitive to library preparation methods.
Purpose of the Study:
- To compare four commercial small RNA library preparation kits for miRNA profiling.
- To evaluate kit performance using cell-free saliva, plasma, and extracellular vesicles (EVs).
- To assess efficiency, bias, and miRNA detection across different sample types and kits.
Main Methods:
- Comparative analysis of four small RNA library preparation kits (QIASeq, RealSeq, Lexogen, NEBNext).
- Profiling of miRNAs from cell-free saliva, plasma, and their EVs.
- Evaluation using synthetic and biological samples, focusing on low RNA input, bias, and detection breadth.
Main Results:
- QIASeq exhibited the highest miRNA mapping rates and broadest miRNA detection, especially in saliva.
- QIASeq demonstrated minimal adapter dimer formation compared to other kits.
- Significant overlap in detected miRNAs between saliva and plasma supports saliva's utility.
Conclusions:
- Library preparation protocol significantly impacts miRNA sequencing results.
- The QIASeq kit is recommended for robust miRNA profiling from non-invasive samples like saliva.
- This study provides guidance for selecting optimal protocols for miRNA biomarker discovery.

