Differential microRNA Expression Analysis in Patients with HPV-Infected Ovarian Neoplasms

Jarych, Dariusz; Mikulski, Damian; Wilczyński, Miłosz; Wilczyński, Jacek R.; Kania, Katarzyna D.; Haręża, Daria; Malinowski, Andrzej; Perdas, Ewelina; Nowak, Mateusz; Paradowska, Edyta

doi:10.3390/ijms25020762

Cited by 2 publications

(1 citation statement)

References 93 publications

(117 reference statements)

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“…For example, microRNA-802 was found to suppress the growth of epithelial ovarian cancer cells by regulating cell proliferation and apoptosis in the ovarian tissue 47 . Additionally, has-miR-218-5p was highly expressed in HPV-infected ovarian tumor tissues 48 lUCAT1 promotes the expression of HOXA13 by inhibiting hsa-miR-612, which ultimately leads to ovarian cancerdevelopment 49 . Silencing of BRD4 by hsa-miR-765 resulted in substantial anti-ovarian cancer activity 50 .…”

Section: Discussionmentioning

confidence: 99%

The shared mechanism and potential diagnostic markers for premature ovarian failure and dry eye disease

Long,

Wu,

Jiang

et al. 2024

Sci Rep

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Premature ovarian failure (POF), which is often comorbid with dry eye disease (DED) is a key issue affecting female health. Here, we explored the mechanism underlying comorbid POF and DED to further elucidate disease mechanisms and improve treatment. Datasets related to POF (GSE39501) and DED (GSE44101) were identified from the Gene Expression Omnibus (GEO) database and subjected to weighted gene coexpression network (WGCNA) and differentially expressed genes (DEGs) analyses, respectively, with the intersection used to obtain 158 genes comorbid in POF and DED. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses of comorbid genes revealed that identified genes were primarily related to DNA replication and Cell cycle, respectively. Protein–Protein interaction (PPI) network analysis of comorbid genes obtained the 15 hub genes: CDC20, BIRC5, PLK1, TOP2A, MCM5, MCM6, MCM7, MCM2, CENPA, FOXM1, GINS1, TIPIN, MAD2L1, and CDCA3. To validate the analysis results, additional POF- and DED-related datasets (GSE48873 and GSE171043, respectively) were selected. miRNAs-lncRNAs-genes network and machine learning methods were used to further analysis comorbid genes. The DGIdb database identified valdecoxib, amorfrutin A, and kaempferitrin as potential drugs. Herein, the comorbid genes of POF and DED were identified from a bioinformatics perspective, providing a new strategy to explore the comorbidity mechanism, opening up a new direction for the diagnosis and treatment of comorbid POF and DED.

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Section: Discussionmentioning

confidence: 99%

The shared mechanism and potential diagnostic markers for premature ovarian failure and dry eye disease

Long,

Wu,

Jiang

et al. 2024

Sci Rep

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Identification of reference microRNAs in skeletal muscle of a canine model of Duchenne muscular dystrophy

Riddell,

Hildyard,

Harron

et al. 2024

Wellcome Open Res

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Background Duchenne muscular dystrophy (DMD) is a fatal muscle wasting disease caused by mutations in the dystrophin gene. DE50-MD dogs are a canine model of DMD used as final translational models for evaluation of promising treatments. MicroRNA (miR) expressions in the muscle of DE50-MD dogs represent potential biomarkers, but stable reference miRs must first be identified. The aim of this paper was to establish a panel of reference miRs for WT and DE50-MD dogs over a range of ages and muscle groups. Methods RNA was extracted from WT and DE50-MD dog (N=6 per genotype) vastus lateralis muscle samples collected longitudinally at 3, 6, 9, 12, 15 and 18 months of age, and from muscles collected post-mortem (N=3 per genotype; cranial tibial, semimembranosus, lateral triceps and diaphragm). 87 RNAs were quantified in a subset of 6-month-old WT and DE50-MD muscles (N=4 per genotype) using the QIAcuity miFinder panel. GeNorm, BestKeeper and Normfinder were used to identify a candidate panel of the 8 most stable small RNAs, which were then quantified in all RNA samples, alongside the commonly used reference RNA snRNA U6. Results The most stable miRs of this subset were used to normalise quantities of dystromiRs miR-1, miR-133a and miR-206, and fibromiR miR-214. MicroRNAs miR-191, let-7b, miR-125a and miR-15a were the most stable miRs tested, while snRNA U6 performed poorly. DystromiR expression, normalised to the geometric mean of the panel of reference miRs, was lower for miR-1 and miR-133a in DE50-MD compared to WT muscles, while miR-206 levels did not significantly differ between genotypes. FibromiR miR-214 was 2- to 4-fold higher in DE50-MD versus WT muscles. Conclusions A normalisation factor derived from miR-191, let-7b, miR-125a and miR-15a is suitable for normalising miR expression data from WT and DE50-MD muscle over a range of ages and muscle types.

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Differential microRNA Expression Analysis in Patients with HPV-Infected Ovarian Neoplasms

Cited by 2 publications

References 93 publications

The shared mechanism and potential diagnostic markers for premature ovarian failure and dry eye disease

The shared mechanism and potential diagnostic markers for premature ovarian failure and dry eye disease

Identification of reference microRNAs in skeletal muscle of a canine model of Duchenne muscular dystrophy

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