Literature DB >> 35236776

The limits of human microRNA annotation have been met.

Bastian Fromm1, Xiangfu Zhong2, Marcel Tarbier3, Marc R Friedländer4, Michael Hackenberg5,6,7.   

Abstract

Over the last few years, the number of microRNAs in the human genome has become a controversially debated issue. Several publications reported thousands of putative novel microRNAs not included in the curated microRNA gene database MirGeneDB and the repository miRBase. Recently, by using sequencing of ∼300 human tissues and cell lines, the human RNA atlas, an expanded inventory of human RNA annotations, was published, reporting thousands of putative microRNAs. We, the developers of established microRNA prediction tools and hosts of MirGeneDB, raise concerns about the frequently applied prediction and functional validation strategies, briefly discussing the drawbacks of false positive detections. By means of quantifying well-established biogenesis-derived features, we show that the reported novel microRNAs essentially represent false-positives and argue that the human microRNA complement, at about 550 microRNA genes, is already near complete. Output of available tools must be curated as false predictions will misguide scientists looking for biomarkers or therapeutic targets.
© 2022 Fromm et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society.

Entities:  

Keywords:  MirGeneDB; annotation; miRBase; microRNAs; ncRNA prediction

Mesh:

Substances:

Year:  2022        PMID: 35236776      PMCID: PMC9074900          DOI: 10.1261/rna.079098.122

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   5.636


  31 in total

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5.  An extensive class of small RNAs in Caenorhabditis elegans.

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Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

7.  miRNA activity inferred from single cell mRNA expression.

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Journal:  Sci Rep       Date:  2021-04-28       Impact factor: 4.379

8.  Secondary loss of miR-3607 reduced cortical progenitor amplification during rodent evolution.

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Journal:  Sci Adv       Date:  2022-01-12       Impact factor: 14.136

9.  miRBase: annotating high confidence microRNAs using deep sequencing data.

Authors:  Ana Kozomara; Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2013-11-25       Impact factor: 16.971

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  2 in total

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  2 in total

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