ArticleGene2022
Identification of a suitable endogenous control miRNA in bone aging and senescence.
Article in Gene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 14 citations in OpenAlex.
- Expression of Senescence and Osteoporosis-Associated microRNAs in Human Bone and Their Correlations With Clinical Parameters of Osteoporotic Patients.Physiological research · 2026Article
- Article
- Unraveling Let-7f in oncology: a tumor suppressor with emerging clinical significance.Frontiers in cell and developmental biology · 2026Review
- Identification of extracellular vesicle microRNAs as potential facilitators of interferon-alpha escape in Marek's disease virus infection.Frontiers in cellular and infection microbiology · 2026Article
- Sustained Higher Levels of Plasma hsa-miR-17-5p Expression During Gestational Diabetes Mellitus and Postpartum.Epigenomes · 2025Article
- Engineered extracellular vesicles with sequential cell recruitment and osteogenic functions to effectively promote senescent bone repair.Journal of nanobiotechnology · 2025Article
- Optimal endogenous controls for microRNA analysis of visceral adipose tissue in the NAFLD mouse model.Journal of biosciences · 2025Article
- Aging aggravates aortic aneurysm and dissection via miR-1204-MYLK signaling axis in mice.Nature communications · 2024Article
- Archival skin biopsy specimens as a tool for miRNA-based diagnosis: Technical and post-analytical considerations.Molecular therapy. Methods & clinical development · 2023Article
- Identification of stably expressed microRNAs in plasma from high-grade serous ovarian carcinoma and benign tumor patients.Molecular biology reports · 2023Article
- Estrogen-regulated miRs in bone enhance osteoblast differentiation and matrix mineralization.Molecular therapy. Nucleic acids · 2023Article
- Review
- Article
- Extracellular vesicle-associated microRNA signatures related to lymphovascular invasion in early-stage lung adenocarcinoma.Scientific reports · 2023Article
- Selection of endogenous control and identification of significant microRNA deregulations in cervical cancer.Frontiers in oncology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
MicroRNAs (miRNAs) are promising tools as biomarkers and therapeutic agents in various chronic diseases such as osteoporosis, cancers, type I and II diabetes, and cardiovascular diseases. Considering the rising interest in the regulatory role of miRNAs in bone metabolism, aging, and cellular senescence, accurate normalization of qPCR-based miRNA expression data using an optimal endogenous control becomes crucial. We used a systematic approach to select candidate endogenous control miRNAs that exhibit high stability with aging from our miRNA sequence data and literature search. Validation of miRNA expression was performed using qPCR and their comprehensive stability was assessed using the RefFinder tool which is based on four statistical algorithms: GeNorm, NormFinder, BestKeeper, and comparative delta CT. The selected endogenous control was then validated for its stability in mice and human bone tissues, and in bone marrow stromal cells (BMSCs) following induction of senescence and senolytic treatment. Finally, the utility of selected endogenous control versus U6 was tested by using each as a normalizer to measure the expression of miR-34a, a miRNA known to increase with age and senescence. Our results show that Let-7f did not change across the groups with aging, senescence or senolytic treatment, and was the most stable miRNA, whereas U6 was the least stable. Moreover, using Let-7f as a normalizer resulted in significantly increased expression of miR-34a with aging and senescence and decreased expression following senolytic treatment. However, the expression pattern for miR-34a reversed for each of these conditions when U6 was used as a normalizer. We show that optimal endogenous control miRNAs, such as Let-7f, are essential for accurate normalization of miRNA expression data to increase the reliability of results and prevent misinterpretation. Moreover, we present a systematic strategy that is transferrable and can easily be used to identify endogenous control miRNAs in other biological systems and conditions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.