TY - JOUR

T1 - Computer analysis shows differences between mitochondrial miRNAs and other miRNAs

AU - Vorozheykin, P. s.

AU - Titov, I. i.

N1 - Funding. Supported by Budget Project No. FWNR-2022-0020.

PY - 2024

Y1 - 2024

N2 - 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 (twosided Fisher’s exact test, average pvalues 1.82 × 10–89/1.13 × 10–96 for all mRNA/diseases and 6.01 × 10–22/1.09 × 10–9 for mitochondria, respectively); and are in the class of “circulating” miRNAs (average pvalue 1.20 × 10–56). The identified differences between mitomiRs and other miRNAs may help uncover the mode of miRNA delivery into mitochondria, indicate the evolutionary conservation and importance of mitomiRs in the regulation of mitochondrial function and metabolism, and generally show that mitomiRs are not randomly encountered miRNAs. Information on 1,312 experimentally validated mitomiR sequences for three organisms (Homo sapiens, Mus musculus and Rattus norvegicus) is collected in the mitomiRdb database (https://mitomiRdb.org).

AB - 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 (twosided Fisher’s exact test, average pvalues 1.82 × 10–89/1.13 × 10–96 for all mRNA/diseases and 6.01 × 10–22/1.09 × 10–9 for mitochondria, respectively); and are in the class of “circulating” miRNAs (average pvalue 1.20 × 10–56). The identified differences between mitomiRs and other miRNAs may help uncover the mode of miRNA delivery into mitochondria, indicate the evolutionary conservation and importance of mitomiRs in the regulation of mitochondrial function and metabolism, and generally show that mitomiRs are not randomly encountered miRNAs. Information on 1,312 experimentally validated mitomiR sequences for three organisms (Homo sapiens, Mus musculus and Rattus norvegicus) is collected in the mitomiRdb database (https://mitomiRdb.org).

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85217534712&origin=inward&txGid=5f934d333ff0f1592a735d344b77d882

U2 - 10.18699/vjgb-24-91

DO - 10.18699/vjgb-24-91

M3 - Article

C2 - 39944804

VL - 28

SP - 834

EP - 842

JO - Вавиловский журнал генетики и селекции

JF - Вавиловский журнал генетики и селекции

SN - 2500-0462

IS - 8

ER -