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Erschienen in: Neurological Sciences 4/2020

30.11.2019 | Original Article

Prediction of miRNA interaction with mRNA of stroke candidate genes

verfasst von: Аida Kondybayeva, Aigul Akimniyazova, Saltanat Kamenova, Gulsum Duchshanova, Dana Aisina, Alla Goncharova, Аnatoliy Ivashchenko

Erschienen in: Neurological Sciences | Ausgabe 4/2020

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Abstract

Background

The role of miRNA in tissue affected by stroke is actively studied, but it remains unclear which miRNAs and target genes are involved in the development of stroke.

Methods

The MirTarget program defines the following features of a miRNA binding to a mRNA: the binding start site, the location of the binding site in mRNA, the free energy of a miRNA binding with a mRNA, and the interaction schemes of miRNA and mRNA.

Results

The interaction of 6565 miRNAs with mRNAs of stroke candidate genes was determined. The association of the mRNAs of stroke candidate genes with miRNAs depends on the level of gene expression. Some highly expressed candidate genes are targets of miR-619-5p and miR-5095, which have binding sites located on overlapping mRNA nucleotide sequences (clusters). miR-619-5p and miR-5095 bind to mRNA of 15 genes. Clusters for the binding of miR-1273f,d,e are in mRNAs of highly expressed genes. The start sites of miR-1273d and miR-1273e binding in all clusters are in sequences with one and ten nucleotides, respectively. The clusters of multiple miR-574-5p and ID00470.5p-miR binding sites and the clusters of the miR-466, ID01030.3p-miR, and ID00436.3p-miR binding sites are in mRNAs of some genes expressed at low levels.

Conclusion

The organization of miRNA binding sites into clusters reduces the length of mRNA and creates competition between miRNAs for binding to mRNA of a target gene. The characteristics of miRNA associations with target genes can be used to recommend markers for a diagnosis of stroke.
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Literatur
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Metadaten
Titel
Prediction of miRNA interaction with mRNA of stroke candidate genes
verfasst von
Аida Kondybayeva
Aigul Akimniyazova
Saltanat Kamenova
Gulsum Duchshanova
Dana Aisina
Alla Goncharova
Аnatoliy Ivashchenko
Publikationsdatum
30.11.2019
Verlag
Springer International Publishing
Erschienen in
Neurological Sciences / Ausgabe 4/2020
Print ISSN: 1590-1874
Elektronische ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-019-04158-x

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