ArticleBioinformatics (Oxford, England)2017
miRmine: a database of human miRNA expression profiles.
Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 2 of them syntheses that pooled it.
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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.
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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
113 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prognostic role of 14q32.31 miRNA cluster in various carcinomas: a systematic review and meta-analysis.Clinical & experimental metastasis · 2020Pooled it
- Effects of AntagomiRs on Different Lung Diseases in Human, Cellular, and Animal Models.International journal of molecular sciences · 2019Pooled it
- Small non-coding RNAs are altered by short-term sprint interval training in men.Physiological reports · 2018Trial
- Expanding the toolbox: Emerging antisense oligonucleotide mechanisms for modulating gene expression.Molecular therapy. Nucleic acids · 2026Review
- An absolute quantification atlas of small non-coding RNAs across diverse mammalian tissues and cell lines.Nature communications · 2026Article
- Synthetic nanoparticles for cell-type specific, spatially resolved loading and export of MiRNAs in neural cells.Journal of nanobiotechnology · 2026Article
- Construction and Analysis of miRNA Regulatory Networks.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Methods to Quantify the MicroRNA and Study Their Role in Genotoxic Stress.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Microbiota-miR-101 interactions in obesity-associated colorectal cancer: from barrier dysfunction to precision therapeutic strategies.Frontiers in pharmacology · 2026Review
- Understanding the Mechanisms of Human Liver Regeneration via Characterization of Circulating Extracellular Vesicles.BioMed research international · 2026Article
- Distinct microRNA profiles in neuron-derived extracellular vesicles between recent-onset and chronic-phase schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- Machine learning approaches for predicting the small molecule-miRNA associations: a comprehensive review.Molecular diversity · 2025Review
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- Characterization of residual microRNAs in AAV vector batches produced in HEK293 mammalian cells and Sf9 insect cells.Molecular therapy. Methods & clinical development · 2024Article
- Quantifying the massive pleiotropy of microRNA: a human microRNA-disease causal association database generated with ChatGPT.bioRxiv : the preprint server for biology · 2024Article
- Long noncoding RNA TUG1 promotes cisplatin resistance in ovarian cancer via upregulation of DNA polymerase eta.Cancer science · 2024Article
- CMC: Cancer miRNA Census - a list of cancer-related miRNA genes.Nucleic acids research · 2024Article
53 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationMicroRNAs (miRNAs) are small non-coding RNAs that are involved in post-transcriptional regulation of gene expression. In this high-throughput sequencing era, a tremendous amount of RNA-seq data is accumulating, and full utilization of publicly available miRNA data is an important challenge. These data are useful to determine expression values for each miRNA, but quantification pipelines are in a primitive stage and still evolving; there are many factors that affect expression values significantly.
resultsWe used 304 high-quality microRNA sequencing (miRNA-seq) datasets from NCBI-SRA and calculated expression profiles for different tissues and cell-lines. In each miRNA-seq dataset, we found an average of more than 500 miRNAs with higher than 5x coverage, and we explored the top five highly expressed miRNAs in each tissue and cell-line. This user-friendly miRmine database has options to retrieve expression profiles of single or multiple miRNAs for a specific tissue or cell-line, either normal or with disease information. Results can be displayed in multiple interactive, graphical and downloadable formats. AVAILABILITY AND IMPLEMENTATION: http://guanlab.ccmb.med.umich.edu/mirmine. CONTACT: bharatpa@umich.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.