ArticleCurrent stem cell research & therapy2025
Prediction of Age-Related MicroRNA Signature in Mesenchymal Stem Cells by using Computational Methods.
Article in Current stem cell research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Dysregulation of miRNAs in Sicilian Patients with Huntington's Disease.Diagnostics (Basel, Switzerland) · 2025Article
- Circular RNAs inducing the osteogenic differentiation of dental mesenchymal stem cellsWorld journal of stem cells · 2025Review
- Predicting microRNAs and their Target Genes Involved in Sepsis Pathogenesis by using Bioinformatics Methods.Current pharmaceutical design · 2025Article
- Human Aging and Age-Related Diseases: From Underlying Mechanisms to Pro-Longevity Interventions.Aging and disease · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAging is a phenomenon which occurs over time and leads to the decay of living organisms. During the progression of aging, some age-associated diseases including cardiovascular disease, cancers, and neurological, mental, and physical disorders could develop. Genetic and epigenetic factors like microRNAs, as one of the post-transcriptional regulators of genes, play important roles in senescence. The self-renewal and differentiation capacity of mesenchymal stem cells makes them good candidates for regenerative medicine.
objectiveThe objective of this study is to evaluate senescence-related miRNAs in human MSCs using bioinformatics analysis.
methodsIn this study, the Gene Expression Omnibus (GEO) database was used to investigate the senescence-related genome profile. Then, down-regulated genes were selected for further bioinformatics analysis with the assumption that their decreased expression is associated with an increased aging process. Considering that miRNAs can interfere in gene expression, miRNAs complementary to these genes were identified using bioinformatics software.
resultsThrough bioinformatics analysis, we predicted hsa-miR-590-3p, hsa-miR-10b-3p, hsamiR- 548 family, hsa-miR-144-3p, and hsa-miR-30b-5p which involve in cellular senescence and the aging of human MSCs.
conclusionmiRNA mimics or anti-miRNA agents have the potential to be used as anti-aging tools for MSCs.
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Registered trials
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