Evidence map›Paper›PMID 41373594›Full record

ArticleInternational journal of molecular sciences2025

Optimizing Small RNA Sequencing for Salivary Biomarker Identification: A Comparative Study of Library Preparation Protocols.

Ulrike Kegler, Nathalie Ropek, Manuela Hofner, Silvia Schönthaler, Klemens Vierlinger, Christa Nöhammer

Abstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ulrike KeglerCompetence Unit Molecular Diagnostics, Center for Health & Bioresources, Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria.ORCID 0000-0001-8626-4178
Nathalie RopekCompetence Unit Molecular Diagnostics, Center for Health & Bioresources, Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria.
Manuela HofnerCompetence Unit Molecular Diagnostics, Center for Health & Bioresources, Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria.
Silvia SchönthalerCompetence Unit Molecular Diagnostics, Center for Health & Bioresources, Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria.
Klemens VierlingerCompetence Unit Molecular Diagnostics, Center for Health & Bioresources, Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria.ORCID 0000-0001-6038-5895
Christa NöhammerCompetence Unit Molecular Diagnostics, Center for Health & Bioresources, Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria.ORCID 0000-0002-2547-1568

Funding

Innovative Medicines Initiative 2 Joint Undertaking 853995The Austrian Research Promotion Agency 849816
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression and hold significant potential as biomarkers. Saliva, a non-invasive and easily accessible biofluid, offers a promising alternative to blood for miRNA-based diagnostics. However, miRNA profiling by next-generation sequencing (NGS) is highly influenced by library preparation protocol, which can introduce detection and quantification biases. This study compared four commercial small RNA library preparation kits-QIASeq miRNA library kit (Qiagen), RealSeq-Biofluids Plasma/Serum miRNA library kit (Somagenics), Small RNA-seq library prep kit (Lexogen) and NEBNext multiplex small RNA library prep set for illumina (set 1) (New England BioLabs)-to evaluate their performance in profiling miRNAs from cell-free saliva, plasma and their extracellular vesicles (EVs). Using both synthetic reference and biological samples, we assessed the kits' efficiency in handling low RNA input, minimizing bias and detecting diverse miRNAs. QIAseq outperformed the others, showing the highest miRNA mapping rates, minimal adapter dimers and the broadest miRNA detection, particularly in saliva. Moreover, substantial overlap between saliva- and plasma-derived miRNAs supports saliva's diagnostic potential. Overall, this study underscores the critical impact of library preparation on miRNA sequencing outcomes and offers guidance for selecting optimal protocols for biomarker discovery from non-invasive sample matrices.

Indexed as

BiomarkersGene LibraryHigh-Throughput Nucleotide SequencingMicroRNAsSalivaSequence Analysis, RNAExtracellular VesiclesHumansBiomarkersMicroRNAsextracellular vesicleslibrary preparationmicroRNAnext generation sequencingplasmasaliva

Identifiers

PMID41373594
PMCPMC12692187

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.