The Interaction of miRNA-5p and miRNA-3p with the mRNAs of Orthologous Genes

Yurikova, O.Yu.; Aisina, Dana; Niyazova, Raigul; Atambayeva, Shara; Labeit, Siegfried; Иващенко, А. Т.

doi:10.1134/s0026893319040174

Cited by 17 publications

(18 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These animals can be used to study the role of miR-762 in the development of atherosclerosis. A similar type of organization of miRNA binding multiple sites has been found in the mRNAs of many genes involved in the development of cardiovascular and other diseases ( Kondybayeva et al, 2018 ; Aisina et al, 2019 ; Yurikova et al, 2019 ).…”

Section: Resultssupporting

confidence: 54%

“…The MirTarget program determines single miRNA BS in mRNA and miRNA BS which are in clusters (BS arranged with overlapping of nucleotide sequences of the same or several miRNAs) ( Aisina et al, 2019 ). Predicted by the MirTarget program binding sites in over 30 genes were confirmed experimentally ( Yurikova et al, 2019 ).…”

Section: Methodsmentioning

confidence: 85%

“…The whole miRNA nucleotide sequence is important, which is confirmed by the conservation of miRNA nucleotide sequences and corresponding BS during millions of years. The nucleotide sequences of miRNA and their BSs have been conserved in the mRNA genes of animal and plant organisms over 10s of millions of years of evolution ( Bari et al, 2013 ; Ivashchenko et al, 2013 , 2014b ; Yurikova et al, 2019 ).…”

Section: Resultsmentioning

confidence: 99%

“…However, incomplete complementarity is most often observed, in which case miRNAs suppress translation, generally by binding to the 3′-untranslated regions (3′ UTRs) of mRNAs ( Ivashchenko et al, 2014a , c ; Alagia and Eritja, 2016 ; Atambayeva et al, 2017 ). In addition, miRNAs can bind to other regions of target mRNAs, including the 5′-untranslated regions (5′ UTR) and coding sequence (CDS) ( Orom et al, 2008 ; Forman and Coller, 2010 ; Ivashchenko et al, 2013 ; Zhou and Rigoutsos, 2014 ; Niyazova et al, 2015 ; Kondybayeva et al, 2018 ; Yurikova et al, 2019 ). We used a program that effectively determines the quantitative characteristics of the interaction of miRNA with mRNA and allows us to identify fundamentally new properties of the binding of miRNA to mRNA.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

In silico Prediction of miRNA Interactions With Candidate Atherosclerosis Gene mRNAs

et al. 2020

View full text Add to dashboard Cite

The involvement of genes and miRNAs in the development of atherosclerosis is a challenging problem discussed in recent publications. It is necessary to establish which miRNAs affect the expression of candidate genes. We used known candidate atherosclerosis genes to predict associations. The quantitative characteristics of interactions of miRNAs with mRNA candidate genes were determined using the program, which identifies the localization of miRNA binding sites in mRNA, the free energy interaction of miRNA with mRNA. In mRNAs of GAS6 and NFE2L2 candidate genes, binding sites of 21 miRNAs and of 15 miRNAs, respectively, were identified. In IRS2 mRNA binding sites of 25 miRNAs were located in a cluster of 41 nt. In ADRB3, CD36, FASLG, FLT1, PLA2G7 , and PPARGC1A mRNAs, clusters of miR-466, ID00436.3p-miR, and ID01030.3p-miR BS were identified. The organization of overlapping miRNA binding sites in clusters led to their compaction and caused competition among the miRNAs. The binding of 53 miRNAs to the mRNAs of 14 candidate genes with free energy interactions greater than −130 kJ/mole was determined. The miR-619-5p was fully complementary to ADAM17 and CD36 mRNAs, ID01593.5p-miR to ANGPTL4 mRNA, ID01935.5p-miR to NFE2L2 , and miR-5096 to IL18 mRNA. Associations of miRNAs and candidate atherosclerosis genes are proposed for the early diagnosis of this disease.

show abstract

Section: Resultssupporting

confidence: 54%

Section: Methodsmentioning

confidence: 85%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

In silico Prediction of miRNA Interactions With Candidate Atherosclerosis Gene mRNAs

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Nevertheless, miRNAs continued to be studied for use in nanomedicine [ 17 , 18 , 19 , 20 , 21 ]. Furthermore, several publications, where the bioinformatics approach developed by us was applied, revealed that the aforementioned difficulties are surmountable [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Predicting Associations of miRNAs and Candidate Gastric Cancer Genes for Nanomedicine

et al. 2021

View full text Add to dashboard Cite

Nanoscale miRNAs regulate the synthesis of most human proteins involved in differentiation, proliferation, cell cycle, apoptosis, and other processes associated with the growth and the development of an organism. miRNAs also play a number of important roles in the development of gastric cancer. In this work, we studied the quantitative characteristics of miRNA interactions with 69 candidate gastric cancer genes using bioinformatics approaches. To this end, the MirTarget program was used, which determines the characteristics of miRNA binding to mRNA in the 5′UTR, CDS, and 3’UTR. Associations of miRNAs with alternative target genes and associations of genes with alternative miRNAs were established. The cluster organization of miRNA binding sites (BSs) in mRNA was revealed, leading to the emergence of miRNA competition for binding to the mRNA of a target gene. Groups of target genes with clusters of overlapping BSs include miR-5095,miR-619-5p, miR-1273 family, miR-466, ID01030.3p-miR, ID00436.3p-miR, miR-574-5p, and ID00470.5p-miR. In the defined associations of target genes and miRNAs, miRNA BSs are organized into clusters of multiple BSs, which facilitate the design and the development of a system of chips that can be used to control the state of miRNA and target genes associations in gastric cancer.

show abstract

Scutellarin Attenuates Microglia Activation in LPS‐Induced BV‐2 Microglia via miRNA‐7036a/MAPT/PRKCG/ERK Axis

Duan,

Yang,

et al. 2024

Advanced Biology

View full text Add to dashboard Cite

Scutellarin is an herbal agent which can exert anti‐neuroinflammatory effects in activated microglia. However, it remains uncertain if it can inhibit microglia‐mediated neuroinflammation by regulating miRNAs. This study sought to elucidate the upstream regulatory mechanisms by endogenous microRNAs and its target gene in activated microglia in lipopolysaccharide (LPS)‐induced BV‐2 microglia. Results show that scutellarin suppressed the expression of tumor necrosis factor‐α (TNF‐α), interleukin‐1β (IL‐1β), and inducible nitric oxide synthase (iNOS) significantly in LPS‐stimulated BV‐2 microglia. As with the results of miRNAs function classification in vitro, the expression levels of mir‐7036a‐5p are upregulated in LPS‐activated BV‐2 microglia, but are downregulated by scutellarin. Rescue experiments indicated that mir‐7036a‐5p is a pro‐inflammatory factor in activated BV‐2 microglia. mir‐7036a‐5p agomir promoted the expression of phosphorylated tau proteins (p‐tau), protein kinase C gamma type (PRKCG), extracellular regulated protein kinases (ERK1/2), but the is reversed by mir‐7036a‐5p antagomir in vitro. It is shown here that mir‐7036a‐5p is involved in microglia‐mediated inflammation in LPS‐induced BV‐2 microglia. More important is the novel finding that scutellarin mitigated microglia inflammation by down‐regulating the mir‐7036a‐5p/MAPT/PRKCG/ERK signaling pathway.

show abstract

The Interaction of miRNA-5p and miRNA-3p with the mRNAs of Orthologous Genes

Cited by 17 publications

References 29 publications

In silico Prediction of miRNA Interactions With Candidate Atherosclerosis Gene mRNAs

In silico Prediction of miRNA Interactions With Candidate Atherosclerosis Gene mRNAs

Predicting Associations of miRNAs and Candidate Gastric Cancer Genes for Nanomedicine

Scutellarin Attenuates Microglia Activation in LPS‐Induced BV‐2 Microglia via miRNA‐7036a/MAPT/PRKCG/ERK Axis

Contact Info

Product

Resources

About