Computer analysis shows differences between mitochondrial miRNAs and other miRNAs
P.S. Vorozheykin, I.I. Titov

TL;DR
This paper shows that mitochondrial miRNAs (mitomiRs) have unique features compared to other miRNAs, which could help explain their role in mitochondrial function and disease.
Contribution
The study identifies for the first time key distinguishing features of mitomiRs using a Random Forest classification approach.
Findings
MitomiRs are evolutionarily older than other miRNAs, as indicated by a lower phylostratigraphic age index.
MitomiRs have more targets and disease associations, particularly those related to mitochondria.
MitomiRs are more likely to be classified as 'circulating' miRNAs.
Abstract
A subclass of miRNAs with as yet unknown specific functions is mitomiRs – mitochondrial miRNAs that are mainly derived from nuclear DNA and are imported into mitochondria; moreover, changes in the expression levels of mitomiRs are associated with some diseases. To identify the most pronounced characteristics of mitochondrial miRNAs that distinguish them from other miRNAs, we classified mitomiR sequences using the Random Forest algorithm. The analysis revealed, for the first time, a significant difference between mitomiRs and other microRNAs by the following criteria (in descending order of importance in the classification): mitomiRs are evolutionarily older (have a lower phylostratigraphic age index, PAI); have more targets and disease associations, including mitochondrial ones (two-sided Fisher’s exact test, average p-values 1.82 × 10–89/1.13 × 10–96 for all mRNA/diseases and 6.01 ×…
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Taxonomy
TopicsMicroRNA in disease regulation · Cancer-related molecular mechanisms research · RNA modifications and cancer
