Computer analysis shows differences between mitochondrial miRNAs and other miRNAs

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 charac...

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Main Authors: P. S. Vorozheykin, I. I. Titov
Format: Article
Language:English
Published: Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2025-01-01
Series:Вавиловский журнал генетики и селекции
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Online Access:https://vavilov.elpub.ru/jour/article/view/4405
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author P. S. Vorozheykin
I. I. Titov
author_facet P. S. Vorozheykin
I. I. Titov
author_sort P. S. Vorozheykin
collection DOAJ
description 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 p-values 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).
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institution Kabale University
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publishDate 2025-01-01
publisher Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders
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series Вавиловский журнал генетики и селекции
spelling doaj-art-7c62a8ffaa92411997e326032987e9d32025-02-01T09:58:14ZengSiberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and BreedersВавиловский журнал генетики и селекции2500-32592025-01-0128883484210.18699/vjgb-24-911518Computer analysis shows differences between mitochondrial miRNAs and other miRNAsP. S. Vorozheykin0I. I. Titov1Novosibirsk State UniversityNovosibirsk State University; Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Kurchatov Genomic Center of ICG SB RASA 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 p-values 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).https://vavilov.elpub.ru/jour/article/view/4405mitomirmitochondriamirnaevolutiondatabase
spellingShingle P. S. Vorozheykin
I. I. Titov
Computer analysis shows differences between mitochondrial miRNAs and other miRNAs
Вавиловский журнал генетики и селекции
mitomir
mitochondria
mirna
evolution
database
title Computer analysis shows differences between mitochondrial miRNAs and other miRNAs
title_full Computer analysis shows differences between mitochondrial miRNAs and other miRNAs
title_fullStr Computer analysis shows differences between mitochondrial miRNAs and other miRNAs
title_full_unstemmed Computer analysis shows differences between mitochondrial miRNAs and other miRNAs
title_short Computer analysis shows differences between mitochondrial miRNAs and other miRNAs
title_sort computer analysis shows differences between mitochondrial mirnas and other mirnas
topic mitomir
mitochondria
mirna
evolution
database
url https://vavilov.elpub.ru/jour/article/view/4405
work_keys_str_mv AT psvorozheykin computeranalysisshowsdifferencesbetweenmitochondrialmirnasandothermirnas
AT iititov computeranalysisshowsdifferencesbetweenmitochondrialmirnasandothermirnas