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Updated: Oct 1, 2025

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
Published on: August 21, 2019
The limits of human microRNA annotation have been met
Bastian Fromm1, Xiangfu Zhong2, Marcel Tarbier3
1The Arctic University Museum of Norway, UiT-The Arctic University of Norway, 9006 Tromsø, Norway.
The human microRNA (miRNA) count is likely near complete, with around 550 genes. Recent reports of thousands of novel miRNAs are likely false positives due to flawed prediction methods.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- The number of human microRNAs (miRNAs) is debated, with recent studies reporting thousands of novel miRNAs beyond curated databases like MirGeneDB and miRBase.
- The human RNA atlas recently identified numerous putative miRNAs, adding to the controversy.
Purpose of the Study:
- To address concerns regarding the prediction and validation strategies for novel microRNAs.
- To evaluate the validity of recently reported putative microRNAs.
- To assert the approximate completeness of the human miRNA repertoire.
Main Methods:
- Quantification of established microRNA biogenesis-derived features.
- Analysis of prediction and functional validation strategies used in recent miRNA discovery studies.
- Comparison of putative novel miRNAs against established biogenesis criteria.
Main Results:
- The majority of reported novel microRNAs lack key biogenesis-derived features, indicating they are likely false positives.
- The human microRNA gene count is estimated to be near complete, around 550 genes.
- Current prediction tools require curation to prevent the propagation of false predictions.
Conclusions:
- The human microRNA complement is largely established, with approximately 550 miRNA genes.
- Flawed prediction strategies lead to the identification of false-positive microRNAs.
- Accurate miRNA identification is crucial for guiding research in biomarker discovery and therapeutic target development.
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